Built by Associative Data Profile_Selected Projects

STUDIO PROFILE

PROJECTS

MASTERPLAN

MIXED USE

RESIDENTIAL

CORPORATE

ENTERTAINMENT

EDUCATIONAL

GOVERNMENT

PUBLIC SPACES + LANDSCAPING

INDUSTRIAL

SPORT FACILITIES

RESEARCH

INTERACTIVE

COMPUTATIONAL TOOLS

INTELLIGENT DEVICES

STUDIO PROFILEBuilt by Associative Data

8

Built by Associative Data

BAD. Built by Associative Data

Data can no longer be considered an inert element only meant to be stored and

retrieved. Data, through its inherent associative properties, has the ability to form

structured logics. These organizations are organic and naturally efficient

groupings of data and can provide for novel directions throughout the design

process. We leverage this concept in order to understand specific contexts wher-

ever a project may arise. The data we identify and collect from site analysis will

not yield the same organization in Beirut as it will in Barcelona. We strive to un-

derstand and exploit these variations in order to enrich every project we

engage.

DATA

Network

Hierarchy

9


PROFILE BAD. Built by Associative Data

BAD. Built by Associative Data is a young international design and architectural

practice with several offices in Spain (Barcelona), Dublin (Ireland), Lebanon

(Beirut) and China (Chengdu). Our expanding list of international clients feature

ongoing projects located in the Middle East, Africa and Asia. BAD’s international

team of talented designers combine the expertise of working at critically acclaimed

offices throughout the world with academic roles teaching at some of the most

vanguard architectural schools throughout the world. This dynamic creates an

active and exciting environment for talented emergent architects.

At BAD. our design methodology focuses on the careful generation, processing,

and analyzing of project specific data for the purpose of optimizing important design

decisions. Our designers are leading experts in the application of computational

design techniques in the architectural design and construction industry.

The main objective at BAD. is to provide clients with a full range of design services

by using the latest knowledge offered by digital technologies, sustainable practices,

and networked processes. We believe that each project offers a unique opportunity

to create aware, intelligent, and efficient architectural solutions. We strive

to provide creative solutions for each particular client while paying close attention

to their economic benefit. The unique combination of intelligent architectural

solutions through data management makes BAD. a crucial partner in the current

economic landscape.

7

B uilt by Associative Data

CONTACT

BARCELONA 01

Trafalgar, 38, 3’-6ABarcelona 08010Barcelona, SpainT +34 932 955 860M +34 656 239 575

BEIRUT

Suite 501, Verdun wins.Verdun Street,Beirut, LebanonM +961 70 310 310

CHENGDU

7, Tong Zi Lin Nan Road,Building 10, Unit 1,Suite601Chengdu, P.R.CHINA P.O.Box 610000M +86 13 9080 97745

Presentation Works

BARCELONA

Al-Nakheel Centre - Suite 208Madina Road, Hamra DistrictJeddah 23324 Kingdom of Saudi Arabia

T +966 555 691 366E [email protected]

Verdun Twins - Suite 101Concorde StreetBeirut, Lebanon


Trafalgar 38, 3 - 608010 BarcelonaSpain


BEIRUT


JEDDAHDUBLIN

37 North Great Georges Street,Dublin 1, Ireland

T + 353 868 254 292E [email protected]

MASTERPLAN

MIXED USE

RESIDENTIAL

CORPORATE

ENTERTAINMENT

EDUCATIONAL

GOVERNMENT

PUBLIC SPACE +

LANDSCAPE

INDUSTRIAL

SPORT FACILITY

RESEARCH

PROJECTSBuilt by Associative Data

MASTERPLAN

20


BEIRUT DIGITALDISTRICT

LocationBeirut, Lebanon

ClientZRE

Area122.500 m2

Date2012

TypeMasterplan

BudgetN.D.

StatusOngoing

NAME

21


BEIRUT DIGITAL DISTRICTThe Beirut Digital District, BDD, will create a vibrant new urban district in the center ofBeirut with a creative and innovative community and business environment integrated in the historical neighbourhood of Bashoura. As a new District, promoting the development of the ICT sector and other creative industries in Beirut and Lebanon, it will provide:

-Detail View of T6 with BDD zones and gardens at upper levels

• State of the art IT infrastructure (IT – 4G / fibre optic cable for broadband)• A hub for technology to boost the economic development of Lebanon and attract foreign direct investment• It will facilitate business start ups – facilitate the sharing ideas, collaborations on projects and expanding business networks• The BDD will connect decision makers with entrepreneurs and create an environment

for production• A new partnership between public and private sector will be realized in the BDDTo ensure a vibrant urban district that is both highly attractive to the creative community and type of staff that digital businesses want to secure and will also create a balanced community that is accessible to all and integrates with the adjoining districts, the new business environment is complemented

with a more holistic approach to planning. This Masterplan Framework Document sets out to provide the guidelines for the organicgrowth of a sustainable and integrated community, ensuring a high quality urban environment and natural amenities while also future proofing the developments both for emerging green standards and the growing corporate awareness for sustainable design.A series of strategic objectives ranging

from the provision of an open business environment, accessible and inclusive community, sustainable design standards, mobility,life work to cutting edge Infrastructure and Services are reflected in the comprehensive framework document that will guide the phased development of the BDD and ensure its successful delivery.

22


-Aerial View of BDD Area looking south

23


- View of landscaped areas at T3 with BDD building and below ground facilities

24


- View along Nassif Yazigi Street with T3 and T1

25


-Aerial Night View of BDD area looking South West

MIXED USE

34


PRISM

LocationLebanon

ClientZRE

Area120 000 m2

DateStarted 2010

TypeMixed Use

BudgetN.D.

StatusOngoing

NAME

35


- Main street buildings view_ Option B- Main street buildings view_ Option A

36


- Massing strategy 43

PresentationResearch

INITIAL PROJECT MASSING

The project massing is calculated based on local site regulations and accumulated project data. In this case the project massings were optimized to achive a maximum height without any penalties to the

overall form. Internally, the building mass occluded itself from attaining the best views. This process was developed to optimize the views for each part of the project.

30M

30

M

30M

30M

INITIAL PROJECT MASSING The project massing is calculatwed based on local site regulations and accumulated project data. In this case the project massings were optimized to achive a maximum height without any penalties to the overall form. Internally, the building mass occluded itself from attaining the best views. This process was developed to optimize the views for each part of the project.

37


- View analysis 44

PresentationResearch

VIEW OBSTACLES

What was first a viewing obstacle now becomes an informed building mass. Natural light is allowed to penetrate through all areas of the project

VIEW OBSTACLESWhat was first a viewing obstacle now becomes an informed building mass. Natural light is allowed to penetrate through all areas of the project

40


- View from the Residential Clubhouse

41


- Penthouse Views

42


9º

LocationMalabo, Equatorial Guinea

ClientConfidential

Area5 000 m2

Date2011

TypeMixed Use

BudgetN.D.

StatusWorking Documents

NAME

43


9 grados is a modern, mixed use project in the city of Malabo, Equatorial Guinea designed through the careful observation of environmental data. The unique localization of this project, only 3.7º north of the Equator, meant that orientation and form were crucial if the building was to obtain optimum climactic performance and reduce the total absorbed solar radiation.

A series of benchmarks were established to test various design strategies which ultimately yielded the simple elliptical shape, oriented 9º from East in order to reduce solar exposure and maximize the potential to receive the prevailing winds from the south-west.

-Day view / Night view

44


-Data Design Processes

45


-Shadows Analysis

46


- Plans Layouts _Selection

47


- Computational Analysis, Fluids over building shell

48


- Facade system / 24 hours session

68


MS 5046


ClientConfidential

Area3 080 m2

Date2012

TypeMixed Use

BudgetN.D.

StatusOngoing

NAME

69


-Drawings for fabricaton

57

Drawings

DETAIL

Retail Facade Modulation

Scale 1:200

0

0

0 0 0

0 0 0

1

1

1

1

1

1

1 1

2

2

2 2

2

2

2 2

3

3 3 3

3

3

4

44

4 4 4

5

5

6

6 6

7

7 7

8

89

9 9

10

10 10

11

11

13

14 0

0

1

1

1

1 1

2

2

2

2 2

3 3

3 3 3

4 4

4 4 4

5

5

6

6 6 6

7

7 7 7

8

8

8

8

8

89

9 9 9

10

10 10 1012

13

14

12

14

14

13

13

12

12

11

11

109

76

5

5

555

555

4

32

1000

000

0

0

T.10 - 8 UNITS

T.11 - 4 UNITS

T.12 - 4 UNITS

T.13 - 4 UNITS

T.14 - 4 UNITST.09 - 8 UNITS

T.08 - 8 UNITS

T.07 - 8 UNITS

T.06 - 8 UNITS

T.05 - 12 UNITS

T.04 - 12 UNITS

T.03 - 12 UNITS

T.02 - 14 UNITS

T.01 - 14 UNITS

T.00 - 18 UNITS

EAST FACADE MODULATION

MODULATION SUMMARY

NORTH FACADE MODULATION WEST FACADE MODULATION

57

Drawings

DETAIL

Retail Facade Modulation

Scale 1:200

0

0

0 0 0

0 0 0

1

1

1

1

1

1

1 1

2

2

2 2

2

2

2 2

3

3 3 3

3

3

4

44

4 4 4

5

5

6

6 6

7

7 7

8

89

9 9

10

10 10

11

11

13

14 0

0

1

1

1

1 1

2

2

2

2 2

3 3

3 3 3

4 4

4 4 4

5

5

6

6 6 6

7

7 7 7

8

8

8

8

8

89

9 9 9

10

10 10 1012

13

14

12

14

14

13

13

12

12

11

11

109

76

5

5

555

555

4

32

1000

000

0

0

T.10 - 8 UNITS

T.11 - 4 UNITS

T.12 - 4 UNITS

T.13 - 4 UNITS

T.14 - 4 UNITST.09 - 8 UNITS

T.08 - 8 UNITS

T.07 - 8 UNITS

T.06 - 8 UNITS

T.05 - 12 UNITS

T.04 - 12 UNITS

T.03 - 12 UNITS

T.02 - 14 UNITS

T.01 - 14 UNITS

T.00 - 18 UNITS

EAST FACADE MODULATION

MODULATION SUMMARY

NORTH FACADE MODULATION WEST FACADE MODULATION

RESIDENTIAL

78


MH683


ClientConfidential

Area18 000 m2

Date2012

TypeResidential

BudgetN.D.

StatusOn Hold

NAME

79


A Project by BAD. - Built by Associative Data // Matrix V 1.0 - Concept Study - August 2012 3

Concept

Matrix V 1.0Data Application for

Interactive Real Estate

Interactive Application Matrix V 1.0. Matrix V1.0 is a prototypical interactive application with the ambition to maximize the value for both developper and prospective buyer and to redefine the processes of real estate. Allowing an early interaction with the prospective buyer, the developper can optimize the project to its target market and maximize his financial return while the buyer has the option to influence the design and the project through a palette of customization tools in the early stages of the development. Using online resources in the interactive data processing, the application can be integrated in the overall marketing cam-paign and apply to all stages of the real estate process from initial project inception to design development to pre-cons-truction improvements.

- Interface of the Application

Matrix V1.0 is a prototypical interactive application with the ambition to maximize the value for both developper and prospective buyer and to redefine the processes of real estate. Allowing an early interaction with the prospective buyer, the developper can optimize the project to its target market andmaximize his financial return while the buyer has the option to influence the

design and the project through a palette of customization tools in the early stages of the development. Using online resources in the interactive data processing, the application can be integrated in the overall marketing campaign and apply to all stages of the real estate process from initial project inception to design development to pre-constructionimprovements.

80


- Interface of the Massing Application


Design Report _ Building Design

1/250

Horizontal Unit Typologies. The facade module of 4.2m allows ample flexibility in the layout of rooms. The introduction of mediating internal balconies also allows for a smaller facade module to take place inside the units.

180m2

180m2

160m2

180m2

180m2

160m2

81



Design Report _ Structural Design Considerations

Structural Framework. The primary structure of the building is formed by a farmework of RC columns and flat slabs. The columns at the western facade are formed as short shear walls to take the load from the cantilevering balconies. The back of the building and service and circulation cores provide the bracing and counterweight to the animated west facade.

Proposed Balcony Support with slab supported by steel cable

- Street view by day

82


ISLAPRIMAVERA


ClientBeam Developers

Area28 000 m2

DateStarted 2010

TypeMixed Use

BudgetN.D.

StatusAborted

NAME

83


- Data from Site

84


-Massing Strategies

85


- Exposures to the Preferred Views

86


-Exterior Garden Views

87


How do we respond to the aspirations of a site located in a high-density area with all its associated tribulations and a highly ambitious client whose target is to generate the maximum financial profit as an outcome to his real estate endeavor?The residential tower typology has developed into a system valued on exclusivity; whereas lower floors will be

as desirable as the higher ones. The Isla project attempts to optimize value and desirability for each of the building levels. The statistics and district demographics led us to develop a modular system which could respond to the market needs and buyer desires, yielding an attractive and exclusive living experience in the heart of the Ashrafieh district of Beirut.

- Pool and Landscapes

88


-Interior View from A4 Type Apartment

89


EXTRA FEATURESPAGE CONTENT:

SYSTEM

PAGEDESCRIPTION:

APARTMENT TYPE DISTRIBUTION OPTIONS

PROJECT NAME:

ISLA PRIMAVERA

DATE:

17/11/2010

COMPETITION DESIGN PHASE:

34

2

23

3

13

25

11

16

36

3233

30

9

21

26

24

27

22

39

5

1514

38

10

29

4

31

8

18

40

37

35

19

28

12

0

7

1

20

6

17

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.2 (2 BR) 8.69 %

Type_5.b.3 (3 BR) 3.62 %

Type_5.a.2 (2 BR) 13.03 %

Type_1 (3 BR) 8.78 %

Type_2.a (4 BR) 19.91 %

Type_2.b (4 BR) 11.25 %

Type_2.c (3 BR) 10.73 %

Type_3 (4 BR) 12.32 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 3.18 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 3.62 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.a.2 (2 BR) 11.93 %

Type_5.b.2 (2 BR) 7.95 %

Type_3 (4 BR) 8.96 %

Type_5.b.3 (3 BR) 3.313 %

Type_4.a (3 BR) 3.75 %

Type_4.c (4 BR) 0 %

Type_2.c (3 BR) 10.73 %

Type_2.b (4 BR) 8.75 %

Type_4.b (3 BR) 1.06 %

Type_2.a (4 BR) 10.72 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR) 3.313 %

Type_1 (3 BR) 5.85 %

Type_5.b.2 (2 BR) 23.36 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.3 (3 BR) 9.73%

Type_4.a (3 BR) 2.5 %

Type_1 (3 BR) 1.95 %

Type_2.a (4 BR) 4.59 %

Type_2.b (4 BR) 5 %

Type_2.c (3 BR) 5.85 %

Type_3 (4 BR) 1.12 %

Type_4.b (3 BR) 0 %

Type_4.c (4 BR) 1.12 %

Type_5.b.1 (3 BR) 9.73 %

Type_5.b.2 (2 BR) 23.36 %

Type_4.a (3 BR) 2.5 %

Type_5.b.3 (3 BR) 9.73 %

Type_5.a.2 (2 BR) 35.04 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR) 0 %

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

1.95 %Type_2.c (3 BR)

Type_4.c (4 BR) 0 %

Type_4.b (3 BR) 1.06 %

Type_4.a (3 BR) 0 %

Type_2.b (4 BR) 3.75 %

Type_2.a (4 BR) 4.59 %

Type_3 (4 BR) 4.48 %

Type_1 (3 BR) 1.95 %

Type_6 (3 BR) 23.68 %

Type_5.b.1 (3 BR)7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %7.317 %

Type_5.b.3 (3 BR) 7.317 %

Type_5.b.2 (2 BR) 17.56 %

Type_5.a.2 (2 BR) 26.34 %

Type_5.a.3 (4 BR) 0 %

Type_5.a.1 (3 BR) 0 % Type_5.a.1 (3 BR)

Type_2.b (4 BR) 8.75 %

Type_1 (3 BR) 3.9 %

Type_6 (3 BR) 23.68 %

Type_2.c (3 BR) 4.88 %

Type_3 (4 BR) 6.72 %

Type_2.a (4 BR) 7.66 %

Type_5.b.1 (3 BR) 4.951 %

Type_4.c (4 BR) 0 %

Type_5.b.2 (2 BR) 11.88 %

Type_5.b.3 (3 BR) 4.951 %

Type_4.a (3 BR) 3.75 %

Type_4.b (3 BR) 1.06 %

Type_5.a.2 (2 BR) 17.83 %

- Flexible Massing Systems

96


B1234


ClientZRE

Area4 500 m2

DateStarted 2011

TypeCorporate

BudgetN.D.

StatusPermit Phase

NAME

CORPORATE

100


SHENZHEN HORIZON

LocationShenzhen, P.R.C.

ClientAlibaba

Area60 000 m2

DateSubmitted 2011

TypeCorporate Headquarters

BudgetN.D.

StatusCompetition

NAME

101


-Conceptual Diagrams

office space

north south GF pedestrian axe

GF pedestrian acess (shops & halls)

GF pedestrian acess (shops & halls)

level 1 pedestrian acess (leisure)level 1 pedestrian acess (leisure)

office space

Pedestrain Entrance & Exit

Pedestrain Corridor - Up Ground

Pedesrain Corridor - Ground

Vechical Entrance & Exit

Class 1 Zero setback

Class 2 Zero setback

Open space Boundary & Area

Ground Shading SpaceShading Space Dimension

75m

18m

55m

12m

55m55m

18m 12m

75m

18m

55m

12m

55m55m

18m 12m

75m

18m

55m

12m

55m55m

18m 12m

75m

18m

55m

12m

55m55m

18m 12m

75m

18m

55m

12m

55m55m

18m 12m

75m

18m

55m

12m

55m55m

18m 12m

75m

18m

55m

12m

55m55m

18m 12m

75m

18m

55m

12m

55m55m

18m 12m

高6m，深3m

How do you organize the corporate headquarters of the fastest growing e-commerce retailer in the world?Built by Associative Data responded to this competition brief by designing a continuous volume which spans four city blocks where the e-commerce giant could locate its strategic Shenzhen headquarters. The newly expanded central business district

in Shenzhen where the competition is sited is host to a number of innovative projects. These elements became part of the design focus in order to properly situate the project and allow for easy connections to the future amenities.

102


SMOKE ME FREE

LocationJeddah, KSA

ClientGovernment

Area50 m2

Date2012

TypeCorporate

BudgetN.D.

StatusOngoing

NAME

103


- Studies diagrams

7 SMOKING SHELTER - September 2012

SMOKING SHELTERENVIRONMENTAL DATA

SOLAR EXPOSURE

20th June, 12:00

20th September, 12:00

20th December, 12:00

20th March, 12:00



SOLAR EXPOSURE

20th June, 12:00

20th September, 12:00

20th December, 12:00

20th March, 12:00



SHADING STUDY

20th June

20th September

20th December

20th March

adjoining Surfaces in Courtyard ENCLOSED SHELTER Solar Shading by Shelter with climate control but high exposure to Heat Radiation from adjoining Surfaces in Courtyard - higher energy demand for AC system HIGH LEVEL SHADING High Level Solar Shading of full Courtyard resulting in reduced Heat Radiation from adjoiningSurfaces in Courtyard.

STRUCTURAL AND MATERIAL CONSIDERATIONSStructures11 wooden ribs cnc cut stabilized with metal pipes provide the structures for the shelter.FloorWooden cladding divided into triangular panels.Seats

Ergonomic shape made of translucent plastic.CeilingSemitransparent plastic cladding with perforations provides natural light and ventilation of the interior space.ENVIRONMENTAL DATAOPEN SHELTER Solar Shading by Shelter but high exposure to Heat Radiation from

104


KJIHGFEDCB

A

B

C

D

E

F

G

H

I

J

K

A

-Technical drawings

105


106


BDD 1088

LocationLebanon

ClientZRE

Area21 000 m2

DateStarted 2011

TypeCorporate

BudgetN.D.

StatusOngoing

NAME

107


-Building Mass Generation

calculates recursively the AREA needed per FLOOR

RESPONDS to all set PARAMETERS (Sun, Views, Wind, etc)

RESPONDS to the FUNCTIONAL PROGRAM

COMPUTES total VOLUME size according to the permitted BUA

fragments GABARI into a CUBIC EXTRUSION of (X . X) Components size

COMPUTES an infinite series of VARIATIONS following the SET RULES

follows and is limited to GABARI ENVELOPE

CELLULAR AUTOMATON APPLICATION

A cellular automaton is a dis-crete model studied in comput-ability theory, mathematics, physics, complexity science, theoretical biology and micro-structure modeling. It consists of a regular grid of cells, each in one of a finite number of states, such as “On” and “Off” (in contrast to a coupled map lattice). The grid can be in any finite number of dimensions. For each cell, a set of cells called its neighborhood (usually including the cell itself) is defined relative to the specified cell.According to some fixed rule (generally, a mathematical func-tion) that determines the new state of each cell in terms of the current state of the cell and the states of the cells in its neigh-borhood. For example, the rule might be that the cell is “On” in the next generation if exactly two of the cells in the neighborhood are “On” in the current genera-tion, otherwise the cell is “Off” in the next generation. Typically, the rule for updating the state of cells is the same for each cell and does not change over time, and is applied to the whole grid simul-taneously, though exceptions are known.

Negotiating difficult site regulations and taking into account the future uses made the proposal for this office tower a challenging exercise. The complexity of the spatial organization was solved through customized tools and computational processes driven by a highly defined DATA gathering.To respond to this challenging situation, BAD Research has developed customized

design tools and interfaces allowing a direct involvement of the client in the design process. This measure allowed a rapid transition in the design decision making and led to a successful unity between the client and the commissioned team.

ENTERTAINMENT

114


XIONGMAO

LocationChengdu, P.R.C.

ClientTan Zhong

Area5 400 m2

Date2011

TypeEntertainment/Restaurant

Budget300 000 €

StatusUnder Construction

NAME

UNIQUE VISUAL EXPERIENCE

115


-Project’s general Ideas

Existing Situation Existing Slabs Clearing the Slabs

New Vertical Core Suspending the Tubes Extrusion of the Cylinders / Rubber Scapes

116


Can a fresh branding identity emerge from the remains of an abandoned industrial zone in Chengdu? This proposal for a music venue and image design for the new entertainment brand ‘Xiang Mao’ was greatly inspired by the very location where it is to be situated in the near future. The brief for the project was greatly constrained both by time and budget, thus a creative solution

was needed in order to resolve fabrication and material costs. The site, once a host too many industrial activities, was a great web of pipes, connecting resources to processes to exhaust emissions. These tubular elements would be appropriated to generate diverse spaces ranging from the intimate chill out space, the dance floor and the live concert venue.

-View Restaurant Space

-Roofscapes. Joined Tubes with Rubber Heads_ CNC Fabrication Processes117


EDUCATIONAL

120


BEIRUT DIGITALDISTRICT +PLUG IN


ClientConfidential

Area2 500 m2

Date2013

TypeEducational

BudgetN.D.

StatusOngoing

NAME

121


-View from Highway looking East

The temporary structures (Btemp buildings) proposed within the Beirut Digital District (BDD) will facilitate and ensure critical mass during the organic roll out of the BDD development phases. Providing a diverse range of accommodation from offices, conference and education facilities, retail to restaurants and exhibition spaces, the Btemp structures will provide the space and form the strategic backbone

for the evolution of the various BDD objectives and marketing campaigns. The Btemp buildings are therefore both functional space and iconic installation that allow the instant branding and identification of the BDD prior to the final structures. While there are various sites suitable for temporary structures within the BDD, plot 1075 is the most exposed and strategically placed location. Its exposure to downtown

and passing traffic of the General Fouad Chehab Avenue make it the ideal location for an iconic structure that is both space and signage. The pedestrian connection from the main junction of General Fouad Chehab Avenue and Bechara El-Khoury Street allows a direct link to the temporary heart of the BDD, The pedestrian connection from the main junction of General Fouad Chehab Avenue and Bechara El-Khoury

Street to the BDD and B1499 is emphasized with an articulated landscape. Starting on Nassif Yazigi Street the landscape forms a new topography and by increasing its amplitude towards the highway with a series of dramatic peaks, it becomes an iconic sign visible along the highway and from downtown.

122


-View of Roofscape looking North

123


-Massing, Programme 8Project: BDD +PLUG IN Stage: Design Development Date: 27.06.2013 Built byAssociative DataBAD.Massing // Programme

From North West From North East

From South East From South West

GOVERNMENT

128


TORREDE LANACIóN

LocationCentral Africa

ClientPublic Sector

Area160 000 m2

DateStarted 2010

TypeGovernment

Budget150 000 000 €

StatusOn Hold

NAME

Studio projects

GovernmentalBAD. + b720Works

CORPORATE

GOVERNMENTAL

ENTERTAINMENT

MIXED USE

COMMERCIAL

RESIDENTIAL

TRANSPORTATION

HEALTH

SPORT FACILITY

PUBLIC SPACES +

LANDSCAPING

MASTERPLAN

INTERIOR SPACES

129


The proposal for a new Government core in Central Africa organizes multiple ministerial functions and their complementary spaces into vertically distributed parties stacked along a single tower. Open spaces are situated at various levels of the building, offering light and ventilation to every space as well as unique opportunities for secure external gathering spaces.

12

Presentation Works

TORRE DE LA NACIÓN

LocationCentral Africa

ClientPublic Sector

Area160.000 m²

DateStarted 2010

TypeGovernmental

Budget150.000.000 €

StatusOn Hold

Name

Studio projects

Governmental

The proposal for a new Government core in Central Africa organizes multiple ministerial functions and their complementary spaces into vertically distributed parties stacked along a single tower. Open spaces are situated at various levels of the building, offering light and ventilation to every space as well as unique opportunities for secure external gathering spaces. A new composition tailored to enhance communication within all government sectors.

A new composition tailored to enhance communication within all government sectors.

Mass Program Vertical Core Program Stacking

Voids OrganizationGreen Ratio Government Icon

-Diagramatic Concept

PUBLIC SPACE+ LANDSCAPE

132


PANZHIHUAMUNICIPAL PARK

LocationPanzhihua, Sichuan, P.R.C.

ClientGovernment

Area23 000 m2

DateSubmitted 2012

TypeMunicipal Masterplan

BudgetN.D.

StatusOngoing

NAME

133


-Data Crossing Over and Diagrams

Can a park act as a way to enhance the civic and municipal functions of a city?The project for Panzhihua Municipal Park is the central focus of a greater development of residential, commercial, and government buildings. The 23,000 m2 site was designed with the intent of enhancing the development’s natural balance by

introducing an urban forest and sunken gardens to the ambitious development. The sunken gardens house civic and retail functions organized around connected courtyards. Above, is a landscaped urban forest with whimsical bridges and tea houses for the future inhabitants to enjoy.

Data

WIND METRICS

Landscape Editing

We can use this information to begin editing the landscape in order to create microclimates which favourable conditions to the various functions of the project.

1. BARE LANDSCAPE

The untreated site allows for the prevailing winds to blow through interrupted, creating an uncomfortable situation for people using the park.

2. SUNKEN LAKES

By sinking the retail and municipal programs, we can create a comfortable experience below the landscape level, as well as take advantage of the natural levels of the park.

3. HILLS

Sinking part of the program means we need to provide ventilation to the retail and municipal areas below ground. Landscaped hills allow us to embed ventilation and minor programs above ground. the hills have the

the prevailing winds and adding shading to the landscape.

4. TREES

Adding trees on the landscape enhances the microclimate effects of the hills and serves to provide ample shading to the landscape.

m/ s

2.00+

1 .80

1 .60

1 .40

1 .20

1 .00

0.80

0.60

0.40

0.20

-0.00

CFD AnalysisAir Flow R ateContour Range: 0.00 - 2.00 m/ sIn Steps of: 0.10 m/ s© E C O T E C T v 5

24

m/ s

2.00+

1 .80

1 .60

1 .40

1 .20

1 .00

0.80

0.60

0.40

0.20

-0.00

Data

WIND METRICS

Air Flow Rate

Here the project strategies are tested against a Computational Fluid Dynamics Simulation of a 10 m/s wind gust from the South. By adding landscaped hills and trees to the project concept, we are able to create unique microclimates which protect the park users from wind, and provide ample shade throughout the landscape and retail portion of the project

LANDSCAPE + LAKES + HILLS + TREES

Adding diverse species of tress throughout the project serves to further enhance the microclimates created by the landscaped hills,

LANDSCAPE + LAKES + HILLS

Hills serve to create microclimates within the project which protect the users from being fully exposed to wind gusts as well as creating more intimate spaces.

LANDSCAPE + LAKES

Sinking the retail and municipal functions of the project allows us to organize the functions logically, giving the commercial program the oportunity to coexist with the park.

SUNKEN PLAZA

The Sunken Plaza option is added here to serve as a comparison in project strategies.

N-12 PLOTThe N-12 plot slopes approximately 6m from North to South which yields the unique oportunity to embed program within its terrain.

134


-Main Section of the park + Detail Sections of the Hills

135


The design of the Urban Park focused on the environmental and cultural impact of such a large open space. Various species of trees were chosen to provide color and shade to the space, while small hills which can be used as tea houses and public functions are placed strategically to protect from strong winds.The park solves several issues while at

the same time adding natural value to the development. Most of all, it serves to highlight the important government functions situated adjacent to the urban forest.

-View from Urban Forest / View from bridge / View of sunken garden

INDUSTRIAL

138


ECO. IND.SIMBIOTICA

LocationGuinea Equatoriale

ClientGovernment

Area> 1 000 000 m2

DateStarted 2010

TypeIndustrial

BudgetN.D.

StatusOngoing

NAME

139


-Materials chain of ‘Ecoparque Industrial’

In solving the question of bringing together industries of different sizes and complexity into one symbiotic organization, we found resources are generated and residual byproducts of industrial processes are shared and utilized for future use.The flexible design for an ‘Industrial Eco-Park’ challenges the notion of the Industrial Park as we know

it. Here the material processes work in a closed loop, where industries can benefit from products and resources generated in the park.The proposal makes provisions for public space, a s well as supporting programs such as public transport, commercial spaces and residential functions for the workers and visitors of the project.

SPORTS FACILITY

142


ESTADIOCASARANO

LocationCasarano, Italy

ClientCity of Casarano

Area24 000 m2

DateSubmitted 2010

TypeSports Facility

BudgetN.D.

StatusSubmitted

NAME

143


-Aerial view Showing the Optimized PV Panels on Shell

-View from field level144


-PV Panel Distribution / View from stadium bleachers

The Casarano Stadium proposal sought to answer the economic issues surrounding the brief for a world-class football stadium by exploiting the unique environmental situation in southern Italy. The stadium’s roof is designed such that photovoltaic are arrayed and positioned at optimal orientations to maximize solar exposure and thus energy

generation. Weather data from the region was directly linked to the geometric model via environmental analysis tools, greatly informing the process and eventually leading to design iterations, which would generate more energy than the stadium necessitated for normal operation.

145


INTERACTIVE

COMPUTATIONAL TOOLS

INTELLIGENT DEVICESRESEARCH

150


AL-ZOHRAITB BERLIN

LocationBerlin, GERMANY

ClientSolidere

Area60 m2

DateSubmitted Feb. 2011

TypeCompetition

BudgetN.D.

StatusAborted

NAME

ZONE 1: ATTRACTORThe interactive facade of the Al Zorah exhibition stand acts to attract visitors inside.ZONE 2: BLUESCREENOnce inside, visitors will be motion tracked and captured in order to later compose their image into an image of Al Zorah.ZONE 3: IMMERSIONIn this part of the experience, the visitor will find themselves composed into an image of Al Zorah, connecting them intimately with the project and its future.ZONE 4: INTERACTION

The visitor will be able to interact with Al Zorah project information, allowing them to intuitively navigate through the project phases and amenities.ZONE 5: CATALOGHere the visitor will be able to take a brochure of the entire Al Zorah project including an image of themselves componsed in one of the many attractive views of Al Zorah.ZONE 6: MEETINGFor extra information, the visitor can meet with one of the Solidere Agents in the private mezzanine lounge.

151


PROJECT NAME:

ISLA BEIRUT

DATE:

17/11/2010


TEXT ON PAGE:

01 TV ROOM, ETC01 TV ROOM, ETC01 TV ROOM, ETC01 TV ROOM, ETC


DIAGRAMS

PAGEDESCRIPTION:

1 AREAL VIEW

interior text

EVENT:PROJECT NAME: PAGE CONTENT:

‘YOURS TO DISCOVER’ ITB BERLIN MARCH 9-11 2011

2010.12.10

Solidere International COMPETITION DESIGN PHASE

DATE: PAGE DESCRIPTION: EXTRA FEATURES:

PROJECT PHASE:PREPARED FOR:

KEY MOMENTS: ZONE 1-5

INFORMATION

1

2

35

4

6

Key Moments

ZONE 1: ATTRACTORThe interactive facade of the Al Zorah exhibition stand acts to attract visitors inside.

ZONE 2: BLUESCREENOnce inside, visitors will be motion tracked and captured in order to later compose their image into an image of Al Zorah.

ZONE 3: IMMERSIONIn this part of the experience, the visitor will find themselves composed into an image of Al Zorah, connecting them intimately with the project and its future.

ZONE 4: INTERACTIONThe visitor will be able to interact with Al Zorah project information, allowing them to intuitively navigate through the project phases and amenities.

ZONE 5: CATALOGHere the visitor will be able to take a brochure of the entire Al Zorah project including an image of themselves componsed in one of the many attractive views of Al Zorah.

ZONE 6: MEETINGFor extra information, the visitor can meet with one of the Solidere Agents in the private mezzanine lounge.

152


PROJECT NAME:

ISLA BEIRUT

DATE:

17/11/2010


TEXT ON PAGE:



DIAGRAMS

PAGEDESCRIPTION:

1 AREAL VIEW

interior text



2010.12.10




ZONE 1: ATTRACTION

CONCEPT

ZONE 1: AttractionThe first key moment in enticing the visitor is when they realize they can affect the behavior of the facade.

Though the use of simple proximity sensors and cameras, different behaviors can be applied to the facade, creating different moods depending on the event.

1. Visitor approaches the stand

4. Visitor’s silhouette is displayed on the exterior

2. Visitor begins to interact with the facade 3. Visitor is enticed to enter

ZONE 1: AttractionThe first key moment in enticing the visitor is when they realize they can affect the behavior of the facade.Though the use of simple proximity sensors and cameras, different behaviors can be applied to the facade, creating different moods depending on the event.

-Diagrams

153


PROJECT NAME:

ISLA BEIRUT

DATE:

17/11/2010


TEXT ON PAGE:



DIAGRAMS

PAGEDESCRIPTION:

1 AREAL VIEW

interior text



2010.12.10




ZONE 2: INFORMING

CONCEPT

ZONE 2: CAPTUREOnce inside, the visitor is taken through an interactive experience while their motion is captured for later automated image processing.

Motion can be captured with many commercially available web camera hardware coupled with Computer Vision libraries which can detect and track moving bodies.

ZONE 2: CAPTUREOnce inside, the visitor is taken through aninteractive experience while their motion iscaptured for later automated image processing. Motion can be captured with many commerciallyavailable web camera hardware coupled with Computer Vision libraries which can detect and track moving bodies.

-Diagrams

154


PROJECT NAME:

ISLA BEIRUT

DATE:

17/11/2010


TEXT ON PAGE:



DIAGRAMS

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2010.12.10




DRAWINGS

SECTION B 1:100

The Project places great emphasis on connectivity,both within and beyond Al Zorah, linking it withthe rest of Ajman and the national highway grid.Equestrian, cycling and jogging trails are alsointegrated within a parkscape which will be amajor amenity during walkable months and inthe cool of night-time.

With the construction of the new Parkwaylinking Al Zorah to the Emirates Road, thejourney to Dubai Airport will be minimized, andthe Project will open up as an ideal commuterdestination to people working in Dubai and otherneighboring Emirates. As multi-modaltransportation is adopted, Al Zorah will be readyin advance, with a well-planned strategy for theintegration of the highest quality, air-conditionedpublic transport.

Al Zorah Project involves the planning anddevelopment of 12 million sq m (2,965 acres) ofcoastal and sea-reclaimed land, with an extendedwaterfront of 12 km (7.5 miles).

Al Zorahg a tourist attraction, and a rich living

and working environment, Al Zorah will be aremarkable destination, combining residentialand resort facilities, business and city centerfunctions.

The unique environment and qualityfacilities that will be created will attract newinvestors wishing to do business in such aconvenient location. Al Zorah will not onlyservice Ajman but the Northern Emirates as awhole, acting as an investment destination forthe region. In response to the growing demandfor e and business park use, it is intendedthat Al Zorah shall become a new business hub,responding to the discerning investor whovalues the reduction of commuting and theintegration o iving and work facilities.

Investors in Al Zorah and its componentassets will t from a freehold free-zonestatus, allowing 100% foreign ownership, 100%repatriation of capital and , guaranteed30-year tax-free operations, renewable for anadditional 30 years, and exemption frompersonal income tax.

Distinctive features, based on the site’s naturalassets and environment, include a terraformed,crescent-shaped bay.

The plan aims at creating an urbancommunity, waterside resort, second homedestination and prime business center.

It encompasses the development of around22.1 million sq m (237.8 million sq ft) of built-upspace, to which are added 8 to 9 million sq m(86 to 97 million sq ft) of parking, in phasesover a 16-year period.

The Project will include a number of qualityreal estate products including world-classbeachfront resorts and hotels, mangrove andgolf resorts, e buildings of t heightsand sizes, several residential zones, shoppingmalls and entertainment areas, with almost allthe properties enjoying water, golf course andmangroves views.

Al Zorah is the keyproject within theAjman Government’sstrategic objective todrive the Emirateforward and establishfor it a distinctiveplace within the rapidgrowth of the UAE.The Emirate will

t from thespread t ofAl Zorah's highvisibility, accessibilityand quality o ife.

134

2

1

9

6

4

1

1

5

12

8

16.00

0.06 0.06

5.00

2.30

0.20

2.50

1.94 2.00 2.00 2.00 2.00 2.00 2.00 1.94

4

3

1

2

5

6

7

8

9

10

11

12

3 Form Panels - Chroma 12mmAluminum ColumnsAluminum BeamsFlooring Finish3 Form Panel - Chroma 25mm27” LCD DisplayInteractive TableFurnitureUltra Short Throw ProjectorsLCD DisplayAluminum Stair StringerPrinted Media

PROJECT NAME:

ISLA BEIRUT

DATE:

17/11/2010


TEXT ON PAGE:



DIAGRAMS

PAGEDESCRIPTION:

1 AREAL VIEW

interior text



2010.12.10




DRAWINGS

SECTION B 1:100

The Project places great emphasis on connectivity,both within and beyond Al Zorah, linking it withthe rest of Ajman and the national highway grid.Equestrian, cycling and jogging trails are alsointegrated within a parkscape which will be amajor amenity during walkable months and inthe cool of night-time.With the construction of the new Parkwaylinking Al Zorah to the Emirates Road, thejourney to Dubai Airport will be minimized, andthe Project will open up as an ideal commuterdestination to people working in Dubai and otherneighboring Emirates. As multi-modaltransportation is adopted, Al Zorah will be readyin advance, with a well-planned strategy for theintegration of the highest quality, air-conditionedpublic transport.Al Zorah Project involves the planning anddevelopment of 12 million sq m (2,965 acres) ofcoastal and sea-reclaimed land, with an extendedwaterfront of 12 km (7.5 miles).

Al Zorahg a tourist attraction, and a rich livingand working environment, Al Zorah will be aremarkable destination, combining residentialand resort facilities, business and city centerfunctions.The unique environment and qualityfacilities that will be created will attract newinvestors wishing to do business in such aconvenient location. Al Zorah will not onlyservice Ajman but the Northern Emirates as awhole, acting as an investment destination forthe region. In response to the growing demandfor e and business park use, it is intendedthat Al Zorah shall become a new business hub,responding to the discerning investor whovalues the reduction of commuting and theintegration o iving and work facilities.Investors in Al Zorah and its componentassets will t from a freehold free-zonestatus, allowing 100% foreign ownership, 100%repatriation of capital and , guaranteed30-year tax-free operations, renewable for anadditional 30 years, and exemption frompersonal income tax.

Distinctive features, based on the site’s naturalassets and environment, include a terraformed,crescent-shaped bay.The plan aims at creating an urbancommunity, waterside resort, second homedestination and prime business center.It encompasses the development of around22.1 million sq m (237.8 million sq ft) of built-upspace, to which are added 8 to 9 million sq m(86 to 97 million sq ft) of parking, in phasesover a 16-year period.The Project will include a number of qualityreal estate products including world-classbeachfront resorts and hotels, mangrove andgolf resorts, e buildings of t heightsand sizes, several residential zones, shoppingmalls and entertainment areas, with almost allthe properties enjoying water, golf course andmangroves views.

Al Zorah is the keyproject within theAjman Government’sstrategic objective todrive the Emirateforward and establishfor it a distinctiveplace within the rapidgrowth of the UAE.The Emirate will

t from thespread t ofAl Zorah's highvisibility, accessibilityand quality o ife.

134

2

1

9

6

4

1

1

5

12

8

16.00

0.06 0.06

5.00

2.30

0.20

2.50

1.94 2.00 2.00 2.00 2.00 2.00 2.00 1.94

4

3

1

2

5

6

7

8

9

10

11

12

3 Form Panels - Chroma 12mmAluminum ColumnsAluminum BeamsFlooring Finish3 Form Panel - Chroma 25mm27” LCD DisplayInteractive TableFurnitureUltra Short Throw ProjectorsLCD DisplayAluminum Stair StringerPrinted Media

INTERACTIVE

COMPUTATIONAL TOOLS

INTELLIGENT DEVICESCOMPUTATIONALTOOLS

158


GENSTRUCT

GENERATIVESTRUCTURALENGINEERING

NAME

40

Presentation Works

COMPUTATIONAL TOOLS:

ASSOCIATIVE TRIANGULATION FOR ARCHITECTURAL STRUCTURES

Name

Studio projects

LocationGuadalajara, Mexico

ClientLanik

Area230,000 m²

DateStarted 2010

TypeMixed use

BudgetN.D.

StatusOngoing

Research

ClientLANIK

DateStarted 2011

TypeCOMPUTATIONAL TOOLS

StatusOngoing

159


The design tools implemented by Built by Associative Data allow for a flexible transition into applications for other disciplines. One such situation is the field of Structural Engineering. When Lanik approached BAD to create a set of tools to automate their workflow, they began a collaboration which would expand to the creation of custom processes for structural engineering. These

tools greatly decrease the production time as they are both intended to generate structures based on Lanik’s constrains and be connected to Lanik’s fabrication facilities for quick manufacture. Serveral structures are currently bring constructed with the tools developed for Lanik at BAD_Research.

- Built Structure using BADRx Developped Panel Optimizing Tools

160


- Fabrication Docs, Panels Families_ BADRx

161


- Panels Colour Indicator / Built Structure using BADRx Panel Optimizing Tools

162


MUQ

COMPUTATION CODING/RECO-DING ISLAMICPATTERNS

NAME

ClientBADRx

DateStarted 2011


StatusOngoing

MAA 09-10

Master Project Theme: MP3 _ Multiple ResultsFaculty: Lluís Viu Rebés + Jordi Pages i Ramon

Ali BasbousStudent:Project Name:

This research was conducted under three interrelated categories of study. It has all started by a strong fascination about Islamic Architecture and mathematics. Away from being a normal reproduction of geometries and patterns, the intention of the research is to use computational thinking as a medium to decode throughout series of data and parameters the secrets laying behind complex geometries built by using only straightedge and com-pass thousands of years earlier. On the first part, I conducted an intensive research on 2D tessellations, base grids, generative geometry, relationship rules and constructive systems in order to decode most of the accessible Islamic patterns around the world. My research based information on personal experi-mentations and on previous studies dealing with the same subject (Peter J Lu, Hankin, Kaplan…) To trace conventional and non conventional logics, I used 2D abstraction methods (relationship between minimal geometries in a pattern) that helped me create my own list of components later used as substitution for patterns in Grids. My pattern investigation span from applications on regular grids to very complex tessellations and Aperiodic Penrose.

space filling grids (G)-regular-semiregular-irregular

generative components (C)-regular polygons-irregular polygons

relationship rules (R)-hankin’s method-penrose

ISLAMIC PATTERNS CODING 2D

EL MUQARNAS . .

Existing Islamic tiling patterns

Base (G)rids:

base regular grids (RG)equal regular polygons in every vertex3 types: hexagonal (6.6.6) / squared (4.4.4.4) / triangular (3.3.3.3.3.3)

base semiregular grid examples (SG) diferent regular poligons in every vertex6.4.3.4 / 3.4.3.4.3 / 3.3.4.4.3 / 3.3.3.3.6 / 8.4.8 / 12.3.12 / 6.4.12

base iregular grid examples (IG)diferent iregular poligons in every vertex

Generative Components (C):

Generative Components (C) example for the geometric generation of an existing islamic tiling. Penrose 1974 and Peter J Lu (2009) research.

Generative Components (C)in an aperiodic pattern aggregation units (Peter J Lu 2009)

Generative Components (C) in an aperiodic pattern kites and darts (Penrose 1974)

(de).

Base (G)rids:

MAA 09-10



This research was conducted under three interrelated categories of study. It has all started by a strong fascination about Islamic Architecture and mathematics. Away from being a normal reproduction of geometries and patterns, the intention of the research is to use computational thinking as a medium to decode throughout series of data and parameters the secrets laying behind complex geometries built by using only straightedge and com-pass thousands of years earlier. On the first part, I conducted an intensive research on 2D tessellations, base grids, generative geometry, relationship rules and constructive systems in order to decode most of the accessible Islamic patterns around the world. My research based information on personal experi-mentations and on previous studies dealing with the same subject (Peter J Lu, Hankin, Kaplan…) To trace conventional and non conventional logics, I used 2D abstraction methods (relationship between minimal geometries in a pattern) that helped me create my own list of components later used as substitution for patterns in Grids. My pattern investigation span from applications on regular grids to very complex tessellations and Aperiodic Penrose.

space filling grids (G)-regular-semiregular-irregular

generative components (C)-regular polygons-irregular polygons

relationship rules (R)-hankin’s method-penrose

ISLAMIC PATTERNS CODING 2D

EL MUQARNAS . .

Existing Islamic tiling patterns

base regular grids (RG)equal regular polygons in every vertex3 types: hexagonal (6.6.6) / squared (4.4.4.4) / triangular (3.3.3.3.3.3)

base semiregular grid examples (SG) diferent regular poligons in every vertex6.4.3.4 / 3.4.3.4.3 / 3.3.4.4.3 / 3.3.3.3.6 / 8.4.8 / 12.3.12 / 6.4.12

base iregular grid examples (IG)diferent iregular poligons in every vertex

regular gridquads 4.4.4.4

semi-regular grid: hexagon+square+triangle+square 6.4.3.4Hankin’s method and attractor point / slider controlling rotation angle depending on distance from polygon to attractor.

semi-regular grid : octagon+octagon+square 8.8.4Hankin’s method and attractor point / slider controlling rotation angle depending on distance from polygon to attractor.

irregular grid / Penrose tilings and Peter J Lu Girih pattern logicsvariation through aperidic base tesselation of kites and darts components.

C1: square + rotated copyC2: grid pointsvar 1: side lengt Lvar 2: rotation angle A

regular point gridtriangles 3.3.3.3.3.3grid points: components center

C1 : circle in odd pointsC2 : n-gon in even pointsvar 1: side lengt L andvar 2: rotation angle Avar 3: n-gon sides amount S

regular point gridhexagons 6.6.6grid points: components center

C1 : irregular var 1 : side length Lvar 2 : rotation angle Avar 3 : n-gon sides amount Svar 4 : internal angle B

C: no added componentsgrid geometry variationmethod: Hankin’s methodvar 1: 30 degrees




C: no added componentsgrid geometry variationmethod: Hankin’s methodvar 1: 30-45-60-75 degrees

C: no added componentsgrid geometry variationmethod: Hankin’s methodvar 1: 30-45-60-75 degrees

semi-regular geometry gridequilateral triangles + squares 4.3.3.4.3

semi-regular geometry gridequilateral triangles + dodecaedrons 12.12.3





Generative Components (C):

Generative Components (C) example for the geometric generation of an existing islamic tiling. Penrose 1974 and Peter J Lu (2009) research.

Generative Components (C)in an aperiodic pattern aggregation units (Peter J Lu 2009)

Generative Components (C) in an aperiodic pattern kites and darts (Penrose 1974)

(de).

Hankin’s Method:

The construction of an Islamic parquet deformation based on Hankin’s

θθ

θθ

θθ

163

Built by Associative DataMAA 09-10



ISLAMIC PATTERNS CODING 3D(de).One of the major elements of traditional Islamic Architecture; El-Muqarnas were used for Friezes, Corbels, Arches and Domes. Found in many sites of Arabic influence, the Muqarnas is considered to be one of the most complex mathematical applications ever built by tra-ditional means. Very restrictive geometrical rules are behind these great formations and very meticulously studied spacial articulations.

In order to understand the structure of a Muqarnas, we have to get a sense of their building blocks or elements as we find them in many his-torical sites. The cells are the main building blocks of which the muqarnas is built. Beside the cells, some spaces need to be filled with an additional type of building blocks, the so-called intermediate elements.

With a structural system comparable to a staircase, I will study the Mu-karnas by discussing how the different composing elements could be arranged to form a mukarnas structure. Through the De coding system of the Muqarnas, I found a set of common elements with the 2D pattern study mainly ranging around the inter rela-tionship rules.

Muqarnas Guidelines:

space filling grids (G)-irregular grids

generative components (C)-definite amount of irregular polygons (E)-definite amount of gruping possibilities

relationship rules (R)-rotation angle (A)-placement point (.)-placement level (L)-height of every level (h)

Base irregular (G)rids:

G: irregular base grids / planeprojection of the muqarnasvault in the basement of thenorth iwan of the Friday Mosquein Natanz computer reconstructionof the muqarnas vault

Existing Muqarnas

G: irregular base grids /irregular gridexample for existing Muqarnasrectangular plan, one axe of symmetry.

CODE Analysis

E: element packing in the gridspace filling tesselation

Plan and views of the Muqarnas where its complexity can be appreciated.

EL MUQARNAS . .

164


‘GALAPAGOS’

INTELLIGENT-MASSING PROCESSES

NAME

MASSING GENERATIONEROSION AND AGGREGATION

R4R3

R1 R2

R5 R6

R8R7

ClientBADRx

DateStarted 2011


StatusOngoing

165


NAME

GENKIT

GENERATIVE BUILDING DESIGN TOOLKIT‘GABARIT SOLVER’

ClientConfidential

DateStarted 2010


StatusOngoing

The client is one of the most important assets in the design process. It is crucial to be able to integrate the client into the design at the early stages in order to ensure that the project meets every goal necessary. In order to facilitate this process, BAD_Research develops tools for Generative Building Design which allows the client to become engaged directly in the design process. The tools designed

incorporate basic local regulations with simple information input mechanisms. The client has the power to quickly sketch out a design and understand important project metrics interactively and in 3D. These interfaces have been a key part of several design projects. The tools also have the capacity to save out the design. We can take this basic form and quickly detail it to give the client an impression of the design

We can take this basic form and quickly detail it to give the client an impression of the design possibilities.

- Generative application

INTERACTIVE

COMPUTATIONAL TOOLS

INTELLIGENT DEVICESINTELLIGENTDEVICES

168


NAME

Smart Geometry Workshop 2011: Tomas Diez, Felipe Pecegueiro, Luis Fraguada, Morten Burlow

HARDWARE TOOLS: ASKIT

Urban Feeds

‘ASKIT’

AMBIENT SENSOR KIT

ClientBADRx

DateStarted 2009

TypeIntelligent Devices

StatusOngoing

169


-ASKit v3 / An ASKit tracking outdoor conditions

LUIS E. FRAGUADA, 2010

HARDWARE TOOLS: ASKIT - `LA NORMAL’ CASE STUDY IN GUADALAJARA, MEXICO

The Digitalization of the Information and Computation render us new fields of exploration. We are able to parse all the data and externalize it into with new tools, and bring more consciousness of what is around us. The ASKit project is based on the premise that a personal understanding of the information around us is the key to a sustainable and informed habitation of our

environment. ASKit is an open hardware initiative intended to make active personal data collection and sharing accessible to everybody.The applications for this platform range from home Energy Consumption Monitoring to urban air quality surveying and more. The first two versions of the ASKit were developed in the Fab Lab Barcelona.

170


NGPS

NON-GRAVITY PRINTING SYSTEM

ClientBADRx / Ferran Adria

DateStarted 2009

TypeIntelligent Device

StatusOngoing

NAME

174


FOOD PRINTING

ClientBADRx

DateStarted 2010

TypeIntelligent Device

StatusOngoing

NAME

175


-Food printing machine

BAD Research has been working on the cutting edge of technology and gastronomy through its experiments in 3d printing of food. The project, initiated in collaboration with Green Geometries Lab, Chef Paco Morales, and Fab Lab Barcelona, has been developing the hardware, software, and recipes for the realization of a digital fabrication solution for avant-garde gastronomy.

The technology for printing food is varied, but the notion here is not to industrialize the way we prepare food in our kitchens. In fact, the aim of the project is to provide hyper customized dietary and eating experiences. Chefs can create recipes which implement precise nutritional information, while at the same time allowing their creativity to flow by designing n ew forms for their dishes.

CONTACT

BARCELONA

http://bad.ar.comhttp://builtbyassociativedata.com

Al-Nakheel Centre - Suite 208Madina Road, Hamra DistrictJeddah 23324 Kingdom of Saudi Arabia


Verdun Twins - Suite 101Concorde StreetBeirut, Lebanon


Trafalgar 38, 3 - 608010 BarcelonaSpain


BEIRUT


JEDDAHDUBLIN

37 North Great Georges Street,Dublin 1, Ireland

T + 353 868 254 292E [email protected]

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