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Title: Leveraging Digital Tools for Holistic Design Collaboration Author: Kermin Chok, Technical Director, Meinhardt Subject: IT/Computer Science/Software Keywords: Optimization Structure Technology Publication Date: 2011 Original Publication: CTBUH 2011 Seoul Conference Paper Type: 1. Book chapter/Part chapter 2. Journal paper 3. Conference proceeding 4. Unpublished conference paper 5. Magazine article 6. Unpublished © Council on Tall Buildings and Urban Habitat / Kermin Chok ctbuh.org/papers
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Page 1: Kermin Chok - global.ctbuh.orgglobal.ctbuh.org/resources/papers/download/915-leveraging-digital... · Abstract Digital design tools have transformed the way architecture design is

Title: Leveraging Digital Tools for Holistic Design Collaboration

Author: Kermin Chok, Technical Director, Meinhardt

Subject: IT/Computer Science/Software

Keywords: OptimizationStructureTechnology

Publication Date: 2011

Original Publication: CTBUH 2011 Seoul Conference

Paper Type: 1. Book chapter/Part chapter2. Journal paper3. Conference proceeding4. Unpublished conference paper5. Magazine article6. Unpublished

© Council on Tall Buildings and Urban Habitat / Kermin Chok

ctbuh.org/papers

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TS01-02

Leveraging Digital Tools for Holistic Design Collaboration

Kermin Chok

Meinhardt Group Design (Singapore, [email protected])

Kermin Chok

Biography Kermin Chok is currently a Technical Director in the Civil and Structural division at Meinhardt. He is a

member of the firm’s Global Design Group, which is responsible for accelerated concept development,

internal quality control and knowledge sharing. In his role, he helps advance the technological edge as it

relates to engineering and design collaboration. He leads the development, deployment and integration

of custom and off-the shelf workflow solutions tailored to the firm’s needs.

Kermin’s research interests center on digital design as it relates to architectural-engineering collaboration,

workflow compression and structural optimization. His work in these areas has been previously published

in the journal of the Association for Computer Aided Design in Architecture (ACADIA) and the

International Journal for Architectural Computing (IJAC).

Previously, Kermin worked at Skidmore Owings and Merrill (Chicago) and Halvorson and Partners

(Chicago). In his past roles, he has contributed to many large scale projects such as the Burj Dubai,

Trump Tower (Chicago), Infinity Tower (Dubai) and Central Market Development (Abu Dhabi). Exposure to

these large projects has shaped his thinking on the future of design collaboration and engineering.

He holds a Bachelor of Science (Civil Engineering) with Honors from Northwestern University and a

Master of Engineering (Civil Engineering) from MIT. He is currently based in Singapore.

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Abstract

Digital design tools have transformed the way architecture design is imagined and executed. 3D

surface modeling and custom scripting are now standard among architectural designers in the field.

Catering to this wave of change, software vendors routinely update their software with an ever

growing list of features. These tools have the benefit of allowing more freedom in architectural

expression while allowing the team to accelerate their internal processes. In this accelerating

environment of design, this paper proposes a rethink of what design collaboration means between

architect and engineer. The paper demonstrates how a smarter leverage of software and focused

custom programming can lead to dramatically more efficient workflows. Custom linkages between

architectural geometry and structural analysis are illustrated along with structural morphology and

optimization. The paper proceeds to illustrate how these new workflows have the extended effect of

enhanced communication both within a firm and externally. Finally, the paper concludes by illustrating

how a broad base of custom tools allows the engineering team to collaborate with the architectural

team in new and creative ways. This is illustrated through a schematic layout of columns in a floor slab

and force trajectory visualization.

Keywords:

Structure, Optimization, Collaboration, Architecture, Rhino

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Introduction

The building industry is currently awash in a plethora of digital design tools. Each tool seeks to address

a specific need in the design process starting from light conceptual modeling to detailed building

information modeling (BIM). For example, in larger architectural projects, conceptual studies are often

undertaken with a mix of physical models and rapidly evolving parametric models. This rapid adoption of

digital tools have allowed for a new mode of architectural expression previously impossible where in

architects can digitally mold their designs instantaneously. In the delivery phase, BIM is a key tool in

order to effectively deliver these increasingly complex projects. In this evolving design environment,

software vendors routinely update their products yearly with an ever growing list of features. While

compatibility within their own design platforms has increased, the linkages between platforms utilized by

industry specialist are often insufficient to keep pace with evolving design practices.

Software innovation in the building industry has typically been targeted at the architectural and

contracting industries due to their commanding size. The time required for architects to reshape a

building for a client’s input and approval has minimized. The structural engineering industry has

typically lagged with software innovation and has not kept up with the current speed of architectural

innovation. The problem is exacerbated by attempting to fit a traditional structural engineering approach,

better suited to simple building geometry, to projects that involve geometric complexity. If the

structural engineer does not keep up with the current innovations in the architectural digital domain,

they risk becoming marginalized in the conceptual and schematic design processes. The conventional

means of concept collaboration, wherein an engineer uses their judgment to converge on efficient

architectural and structural solutions, followed by initial design checks to confirm the suitability of the

proposed concepts, may become obsolete in the digital frontier.

This paper explores how the structural engineering process might be re-thought to provide collaborative

solutions that the traditional engineering process lacks. The paper explores challenges and solutions

ranging from working with architectural geometry in the fluid conceptual phase, internal process

efficiency to communication and collaboration with different members of the design team.

Types of Collaboration

In the building design process, project participants include, but are not limited to, the client/developer,

project management team, architectural design team, engineering consultants and contractors. Every

party has different, sometimes competing, priorities. In addition, different parties have different preferred

mediums of communication and software platforms, which can complicate project execution.

For example, the client may desire an iconic but cost effective design and their preferred medium of

communication may be reports or emails. Meanwhile, the architectural team may be seeking to deliver a

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project that pushes the edge of design while adhering to the design brief. Their primary medium of

communication is usually visual which may include sketches or detailed renderings. On the other end of

the spectrum is the PM and contracting team who has safety, constructability and cost on the forefront

of their mind. Their communication and project execution platform may be detailed BIM.

In this fragmented communication environment, design intent and project requirements can be easily

misinterpreted. This paper proposes that the smarter leveraging and linking of existing software

platforms, rather than the use of more software platforms, as a solution to this challenging design

environment.

In order address such challenges, the paper frames proposed solutions in three radiating spheres of

innovation: efficiency, communication and collaboration. This is illustrated conceptually in Figure 15.

Figure 15: Spheres of Innovation

Internal Efficiency Internal efficiency is the first step for any member of the design team to effectively contribute to the

design process. Digital design tools, while allowing un-paralleled architectural freedom, has the

additional characteristic of accelerating the design process. Architectural design iterations occur in ever

compressing time scales, and engineering consultants must accelerate their internal process to provide

timely feedback to the design team. If the design team continues with the conventional fragmented

internal processes, the engineering studies can easily be two or three design iterations behind,

subsequently resulting in “forced” solutions further along the design process.

Leveraging architectural geometry

A critical first step in closing the gap between architectural and structural design is being able to use the

surface massing model that is generated at the early stages of the design process. In the initial stages of

the design project, the design team is primarily concerned with overall geometry and massing and its

relation to floor areas, rough environmental studies and feasibility of the structural system.

Illustrated in Figure 1 is an example massing model that the structural team might receive from the

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architectural team. These forms are usually generated parametrically using software such as Rhino-

Grasshopper or Bentley Generative Components. Working with such surface geometry using traditional

structural engineering drafting platforms such as AutoCAD can be very challenging, due to program

limitations and incompatibilities. The loss of geometric information during import/export procedures

between different software platforms only compounds the challenge.

Figure 16: Example Architectural Tower Massing

In order to address this challenge, custom digital design tools in Rhino-Grasshopper have been built

which allow the quick and easy extraction of structurally relevant information. While the architectural

design team might be primarily concerned with floor areas and the sensitivity of the proposed massing

to the site, the structural team is looking for key information such as the total gravity load, base shears

and overturning moments due to lateral loads. Illustrated in Figure 17 are two custom components that

compute the relevant code specific wind pressure for the site and key structural information derived

from the architectural surface geometry.

Figure 17: Custom Rhino-Grasshopper Components

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Figure 18: Typical Structural Information Layered on Tower Massing

Illustrated in Figure 18 are key structural information such as wind pressure, story shears and overturning

moments along the tower’s height. In addition to computing structural information, other custom

components that allow direct linkages to structural analysis have been implemented by the author.

Working within a single geometry environment has the advantages of preserving data integrity and also

accelerating the design and analysis process. An accelerated process allows for the structural implications

of geometry modifications to be understood in almost real time. This allows the structural engineer to

provide efficient structural solutions relevant to the current design iteration.

Figure 19: Direct Linkages to Structural Analysis

Structural Morphology

During the design cycle of most projects, geometry is constantly adjusted due to changing design

requirements or design exploration. This is especially true in the schematic design phase of projects,

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where rapid evaluation of structural performance is necessary. The architectural team may be exploring

parameters such as building height or subtle adjustments in tapers or other architectural expressions. In

the structural realm, engineers seek to understand the influence of varying structural member properties

such as wall thickness or beam sizes on critical structural performance such as total building drift or

inter-story drift. These studies have traditionally been performed with manual point-and-click operations.

While such manual manipulation of structural models is adequate for projects of moderate size,

buildings of larger scale and increasing complexity can quickly render this process unworkable.

Furthermore, more value is added to the design process by studying the geometry of the primary

structural system rather than focusing on the member level performance contributions. Nonetheless, the

affects to individual members can also be realized.

In order to efficiently accomplish structural geometry studies, custom programs that automate this

process have been developed by the author. The program morphs the structural analysis model

according to parameters, runs selected analysis (e.g. Linear Static, Natural Frequency, Spectral Response)

and generates a report that documents the sensitivity of the performance measure (e.g. drift, natural

periods, base loads) to the geometry parameter. Illustrated in Figure 20 is a screenshot of the custom

program.

Figure 20: Custom Structural Morphology Program

Illustrated in Figure 21 is an example parametric study of varying the core geometry of a tower. The core

is morphed in 1m increments along the y-axis. Over the course of six runs, the core has a y-direction

depth ranging from 7m to 13m. In this situation, the effect of the geometry modification on the building

natural periods is documented.

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Figure 21: Parametric Core Study

Structural Optimization

In tandem with the tools to explore a structure’s geometry, optimization techniques are another critical

tool that can accelerate structural analysis and design. Structural optimization is a mathematical

approach to satisfy a set of deflection and strength constraints while minimizing the amount of material

used. Another custom program developed by the author interacts with a finite element solver and

determines the optimum distribution of structural material to walls and beams. See Figure 22 for a

screen shot of this custom program.

Figure 22: Custom Multi Constraint Optimization Solver

Illustrated in Figure 23 is a simple three span truss with two cantilevers. In this example, control of

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deflection at the mid span and two cantilever tips are sought while meeting imposed minimum and

maximum size constraints on the structural members. Such custom optimization tools can greatly

accelerate the structural exploration process and minimize the often tedious trial and error approach to

structural sizing. Furthermore, member size constraints can be collaboratively established by soliciting

architectural and constructability concerns.

Figure 23: Example Optimization Model

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Communication

In all firms, communication occurs both internally and externally. In most structural design groups, junior

level engineers are tasked with analysis and design while more senior engineers are responsible for client

contact and management of numerous projects. Due to the differing responsibilities, preferred mediums

of communication can vastly differ. Furthermore, different aspects of the project can have different level

of importance to the different levels within a firm.

For example, senior managers might be primarily concerned with schedule, material quantities and

overall structural behavior. However, design engineers might be mainly concerned with detailed analysis

and design involving individual member forces. Communication between the layers can be hindered by

failing to understand the differing concerns of each team member.

External communication can also suffer from a similar lack of alignment of priorities and mediums of

communication. Architectural teams might be more visually inclined while project management teams

might tend towards written communication.

Automated Post Processing of Structural Analysis

In order to bridge the gaps in communication both internally and externally, tools which are interactive,

easy to use and highly visual are implemented. To this end, a custom program was developed by the

author to automate the post processing of structural analysis results. The program reads information

directly from the structural analysis model and generates interactive web pages displaying information of

interest.

Information ranging from story loads to drifts to material quantities can be quickly reported. This frees

the design engineer from tedious manual manipulation of data and allows them to concentrate more

value added tasks such as design exploration or architectural collaboration. Illustrated in Figure 24 is a

screenshot of the custom program which allows for easy post processing of structural analysis.

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Figure 24: Custom Program for Structural Analysis Result Reporting

Figure 25 shows the interactive, easily shareable, web page reporting relevant structural information. This

democratizes and distills the wealth of information that structural analysis produces. It also allows all

members of the design team who may not be directly involved with the management of the analysis

model, to understand, at their selected level of detail, structural behavior and performance.

Figure 25: Web Based Reporting of Structural Analysis

Common 3D Modeling Platform

In order to communicate geometry variations and schematic structural sizes, utilizing a common 3D

modeling platform with the architectural team is crucial. A common lightweight modeling environment

allows easy visualization of structural members and its impact on the architectural design. This also

provides a fast way to generate traditional 2D plans, elevations and sections as the design rapidly

evolves.

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Figure 26: Bi-Directional Linkage of Structural Analysis and Rhino

Collaboration

Internal efficiency and communication are the crucial first steps in delivering greater value to our clients.

The key differentiator in the future for design and project delivery will be how the skills and experiences

of the team can be effectively leveraged. Digital design tools have opened up previously inconceivable

possibilities for architectural expression. In the previous two sections, this paper has shown the

possibilities of using these same tools in custom ways to accelerate and communicate structural design.

In this section, the paper explores ways to collaboratively explore the design space so that client’s needs,

architectural intent and structural requirements are fulfilled simultaneously.

Floor Plate Geometry Exploration

A simple example of leveraging digital design tools for architectural collaboration might be the exploring

the location of corner columns in a typical floor plan. Usually, corner conditions want to be

architecturally expressed for occupant views. This can be achieved by sliding the columns away from the

corner. However, this creates a cantilever condition which might lead to excessive slab deflections which

can complicate the façade design.

The structural design team might explore the variation of the columns away from the corner and its

effect on slab deflections. Illustrated in Figure 27 is a range of corner slab conditions with the

supporting columns moved away from the corner.

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Figure 27: Corner Column Location Exploration

Leveraging bi-directional linkages to structural analysis, these geometries can be analyzed quickly and

deflection performance obtained. Moving beyond linear modes of collaboration where geometries are

traded back and forth between architect and engineer, custom tools allow the engineering team to

proactively explore a range of geometries which might satisfy both architectural and structural

considerations. Illustrated in Figure 28 is the result of structural analysis. With such quick analysis

available, the design team can converge towards a mutually satisfying outcome in much shorter time

frames.

Figure 28: Floor Plate Displacement

Force Trajectory Exploration

Tracing force trajectories along a design surface is another potential avenue for design exploration

leveraging digital design tools. In Figure 29, some common design spaces where force trajectory

exploration might be illustrative are shown. The first situation is a core and outrigger lateral system,

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which is often preferred due to its reduction of core size and limited impact on the architecture. Another

commonly encountered structural situation is the design of transfer beams.

Figure 29: Trajectory Studies Loading Profiles

A custom component was written by the author to dynamically interact with external finite element

software and trace principal force trajectory lines given a set of seed points. Figure 30 shows the raw

principal force vectors in the finite element package and the final result from the custom tracing

operation. Thus, in more complicated structures with multiple loads paths, where basic structural

intuition might be misleading, this operation can be used to show stress concentrations and primary

load flow.

Figure 30: Filtered Trajectory Lines

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Conclusion

Digital design tools have significantly advanced within the architectural design community. The design

community now has the opportunity to explore innovative, iconic designs that before only resided in the

imagination of the designers. This paper has explored areas of innovation which might allow the

structural community to collaborate more effectively with their architectural design clients.

The paper began by exploring innovations in the internal efficiency realm. This area provides the

foundation for effective project execution. Building upon this, the paper explored innovations in

communication that are built upon a base of automation that aid the production of highly visual and

interactive documentation. Finally, the paper explored digital design technologies from the perspective of

provoking new possibilities for design exploration. These technologies will serve continue to serve as the

foundation for innovative and iconic design projects in the future.

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