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Implementation of Pile Setup in the LRFD Design of … and Geotech...Md. Nafiul Haque (Ph.D....

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Md. Nafiul Haque (Ph.D. Candidate) Murad Y. Abu-Farsakh, Ph.D., P.E. Louisiana Transportation Conference March 1, 2016 Implementation of Pile Setup in the LRFD Design of Driven Piles in Louisiana
Transcript

Md. Nafiul Haque (Ph.D. Candidate)

Murad Y. Abu-Farsakh, Ph.D., P.E.

Louisiana Transportation Conference March 1, 2016

Implementation of Pile Setup in

the LRFD Design of Driven Piles

in Louisiana

OUTLINE

Objectives

Brief Background

Methodology

Results and Analysis

Analytical Models

LRFD Calibration

2

OBJECTIVES

Evaluate the time-dependant increase in pile capacity

(or setup) for piles driven into Louisiana soils through

conducting repeated static and dynamic field testing

with time on full-scale instrumented test piles.

Study the effect of soil type/properties, pile size, and

their interaction on pile setup phenomenon.

Develop analytical model(s) to estimate pile setup with

time using typical soil properties.

Incorporate setup into LRFD design of driven pile in

Louisiana (calibrate setup resistance factor, fsetup).

3

PILE SET-UP

Pile resistance/capacity have been reported to usually increase with time, after end of pile driving (EOD). The increase in resistance/capacity after end of driving, is known as pile set-up. Set-up is observed both in cohesive (clayey) and non-cohesive (sandy-silty) soils.

4

Benefits of Incorporating Set-up in Design

The implementation of pile set-up capacity in the design can result in significant cost savings through

Shortening pile lengths

Reducing pile cross-sectional area (using smaller-diameter/width piles)

Smaller hammer to drive pile

Reducing the number of piles Substantial cost will be saved for full project

5

MECHANISMS - Pile Set-Up

Soil around the pile usually experiences plastic deformation

and remolded during pile driving. Excess pore water pressure

develops as the result of pile driving.

After the completion of pile driving, a certain degree of excess pore water pressure dissipates at the soil-pile interface zone, usually resulting in an increase in pile resistance.

“Aging” and “Thixotropy” also plays significant role in set-up.

Fellenius, 2008

Result from Our Study 6

MECHANISMS - Pile Set-Up In cohesive soils, the induced excess pore water pressure may dissipate

slowly due to low permeability and it takes 50-100 days to dissipate.

However, for noncohesive soils, the duration of dissipation of excess pore

water pressure take several hours to several days due to high

permeability.

This dissipation phase plays the most significant role for the set-up

phase / period or how long it will take for the completion of set-up.

Sandy Soil Clayey Soil

7

EMPIRICAL MODELS

The model that were developed earlier were mainly formed by regression analyses of limited data sets. The first model for pile set-up was proposed by Skov and Denver in 1988.

𝐑

𝐭

𝐑𝐨

= 1 + A log10 𝐭

𝐭𝐨

Rt: the ultimate pile capacity at time t after driving,

Ro: the ultimate pile capacity at time (Reference time) to, A : a constant that depends on soil type and pile

characteristics,

to: initial time (taken as the time to first restrike), Reference time

8

“A” parameter

9 log (t/to)

Phase 2

Phase 3 Phase 1

Re

sis

tan

ce

/Cap

acity

to t

Ro

Rt

Slope of the line,

A

Methodology

10

Conduct

Field Test

Collect Data From Performed

Old Set-up Studies

Analyze Data For Individual Soil

Layers

Correlate Set-up of Individual Soil Layers with Soil

Properties

Develop

Model

LRFD Calibration

Field

Projects

Instrumented Test Piles

(12 Test Piles)

METHODOLOGY

11

1.Bayou Lacassine (3 Test Piles)

2.Bayou Zourie (1 Test Pile)

3.Bayou Bouef (1 Test Pile)

4.LA-1 (6 Test Piles)

5.Bayou Teche (1 Test Pile)

12

METHODOLOGY-FIELD PROJECTS

SOIL INVESTIGATION

Test-1

Test-2

Test-3

0 4 8 12 16

Tip Resistance, qt, (MPa)

0

3

6

9

12

15

18

21

24

27

30

33

36

39

42

45

48

51

54

57

60

63

66

69

De

pth

(ft)

0 25 50 75 100

Probability of

Soil Type(%)

TN. SI. SA.

21

20

19

18

17

16

15

14

13

12

11

10

9

8

7

6

5

4

3

2

1

0

De

pth

(m

)

Soil Type

GR. & TN. SA

GR. & TN. CL.SA. w/CL

BR. SA. SI.

Liquid Limit

Moisture Content

Plasticity Index

0 25 50 75 100

M.C.; L.L.; & P.I.

Clay

Silt

Sand

0 25 50 75 100

Particle

Size Distribution (%)

Su from UU

Su from CPT

0 300 600

Su (kPa)

TN. SA.

GR. & BR. CL

GR. SI. CL.

PCPT

Minimum

Maximum

Insitu

0 0.04 0.08

Coefficient of

Consolidation (cm2/sec)

GR. Sandy CL.

13

Zhang and

Tumay (1999)

method

Dissipation Tests to Calculate cv

1 10 100 1000 10000Time (sec)

0

0.3

0.6

0.9

1.2

1.5

No

rmali

zed

Ex

ces

s P

ore

W

ate

r P

ress

ure

( u

/ui)

12.36 m

17.38 m

14.35 m

15.231 m

16.332 m

9.19 m

11.35 m

BL-TP-1

1 10 100 1000 10000Time (sec)

0

0.3

0.6

0.9

1.2

1.5

No

rmali

zed

Ex

ces

s P

ore

W

ate

r P

ress

ure

( u

/ui)

13.34 m

11.93 m8.38 m

18.34 m

5.14 m

6.38 m

14.42 m10.39 m

BL-TP-3

Bayou

Zourrie

14

METHODOLOGY-INSTRUMENTATION

Sister bar Strain gauges Pressure cells Piezometers Multilevel Piezometers

Soil Profile 15

Sandy

Clayey

Clayey

Clayey

Sandy

Sandy

Cv from Lab

Cv from PCPT

1E-005 0.001 0.1

Coefficient of

Consolidation (cm2/sec)

0 25 50 75 100

M.C.; L.L; & P.I.

.Su from UU

Su from CPT

0 100 200 300

Su (kPa)

Liquid Limit

Plasticity Index

Moisture Content

BR & Light Gr., Organic Clay, OH

Light Br.,Silty Clay, CL

21

20

19

18

17

16

15

14

13

12

11

10

9

8

7

6

5

4

3

2

1

0

De

pth

(m

)

Soil Type

Light Gr.,Organic Clay, OH

Gr., Silty Clay CL

Dark Gr.,Silty Clay, CL

Gr., Lean Clay CL

Reddish Light Br.,SIlty Clay, CL

Light Br.,Sandy Clay, CH

Light Br., Silty Clay, CL

Dark Gr.,Sandy Clay, CL

OCR from CPT

OCR from Lab

0 1 2 3 4 5

OCR

0 4 8 12

Tip

Resistance, qt (MPa)

0 5 10 15 20 25

Rf (%)

69

65

62

59

56

52

49

46

43

39

36

33

29

26

23

20

16

13

10

7

3

0

De

pth

(ft

)

0 25 50 75 100

Probability of

Soil Type (%)

Casing

30"

21.0'

11.0'

5.0'

5.0'

10.0'

5.0'

28.0'

12.0'

14.0'

10.0'

5.0'

5.0'

B B B

B

B

B

B

B

B

G.L.

8.0'

MP-7 MP-8 MP-9

MP-4 MP-5 MP-6

MP-1 MP-2 MP-3

Layer-8

Layer-7

Layer-6

Layer-5

Layer-4

Layer-3

Layer-2

Layer-1

Sandy

Clayey

Clayey

Clayey

Always one pair of strain

gauge was installed near top

in order to calibrate the elastic

modulus

One pair of strain gauge near

tip in order to calculate the tip

resistance

16

METHODOLOGY-INSTRUMENTATION

INSTRUMENTATION PLAN FOR

TEST PILES 30"

21.0'

11.0'

5.0'

5.0'

10.0'

5.0'

28.0'

12.0'

14.0'

10.0'

5.0'

5.0'

B B B

B

B

B

B

B

B

G.L.

8.0'

MP-7 MP-8 MP-9

MP-4 MP-5 MP-6

MP-1 MP-2 MP-3

Layer-8

Layer-7

Layer-6

Layer-5

Layer-4

Layer-3

Layer-2

Layer-1

TP-1

30"

21.0'

4.0'

8.0'

5.0'

5.0'

10.0'

12.0'

7.0'

8.0'

12.0'

12.0'

28.0'

8.0'

G.L.

B B B

B

B

B

B

B

B

MP-7 MP-8 MP-9

MP-4 MP-5 MP-6

MP-1 MP-2 MP-3

Layer-7

Layer-6

Layer-5

Layer-4

Layer-3

Layer-2

Layer-1

Layer-82.0'

TP-3 17

Sister bar strain

gauges Sister bar strain gauges always

installed in pairs-

The average readings were taken

in order to eliminate the effect

bending stress during driving

18

INSTRUMENTATION

Pressure cell

Piezometer

Pressure cell & Piezometer

Geokon Model 4820

Geokon Model 4500S

19

INSTRUMENTATION

Before

Pouring

Concrete

After

Pouring

Concrete

Installed in

predefined

depth

20

INSTRUMENTATION

Saturated

before

driving

Vacuum pump and

peanut oil was used

21

INSTRUMENTATION

Saturated

before

driving

Multilevel

Piezometer

Installed with PVC

pipe at predefined

depth

22

INSTRUMENTATION

INSTRUMENTATION

A data collection

system composed

of CR-1000,

multiplexels and

solar panel was

there for six

months

All the wires were

pulled out through

a PVC pipe near

the top of pile

The wires were

connected to a

data logger

system through a

trench

23

DRIVING AND LOAD TESTS

Hammer

Accelerometer

and strain

transducer PDA

device

24

STATIC LOAD TESTS

25

BAYOU LACASSINE

26

The project was located in Lake Charles, Louisiana

The test piles were monitored for 6 months.

3 dynamic load tests and 5 static load tests were conducted.

TP-2 TP-1 TP-3

27

BAYOU LACASSINE

DYNAMIC LOAD TEST

0 1000 2000 3000Total Side Resistance (kN)

0 215 430 645

Total Side Resistance (kips)

66

60

54

48

42

36

30

24

18

12

6

0

Dep

th (ft)

.Driving

1st Restrike (1 hour)

2nd Restrike (1 day)

3rd Restrike (181 day)

TP-3

EOD

DLT @

181 days

EOD

0 1000 2000 3000Total Side Resistance (kN)

21

18

15

12

9

6

3

0D

epth

(m

)0 215 430 645

Total Side Resistance (kips)

.Driving

1st Restrike (0.5 hour)

2nd Restrike (1 day)

3rd Restrike (217 day)

TP-1

DLT @

217 days

28

STATIC LOAD TEST

29

0 1000 2000 3000

Load (kN)

100

75

50

25

0

Set

tlem

ent

(mm

)

0 168 336 504 672

Load (kips)

.1st SLT (13 days)

2nd SLT (53 days)

3rd SLT (127 days)

4th SLT (148 days)

5th SLT (208 days)

TP-1

0 900 1800 2700 3600 4500Load (kN)

0 168 336 504 672 840 1008

Load (kips)

3.92

2.94

1.96

0.98

0

Settlem

ent (in

ch)

.1st SLT (15 days)

2nd SLT (29 days)

3rd SLT (93 days)

4th SLT (129 days)

5th SLT (175 days)

TP-3

1st

SLT

5th

SLT 1st

SLT

5th

SLT

Set-Up Plots for Bayou Lacassine

Set-up for

TP-1

Set-up for

TP-3

30

Set-Up for TP-1

Events

Time

from

EOD

Total

Resistanc

e

Increas

e from

EOD

Side

Resistan

ce

Increas

e from

EOD

Tip

Resistan

ce

Increas

e from

EOD

Set-up

factor for

Total

Resistan

ce

Days kips % kips % kips % (Rt/Ro)

TP-1

EOD - 360 0 284 0 76 0 1.00

1st RST 0.02 370 3 290 2 80 5 1.03

2nd

RST 1 427 19 348 23 79 4 1.19

SLT1 13 452 26 381 34 71 -7 1.26

SLT2 53 500 39 427 51 73 -5 1.39

SLT3 127 560 55 479 71 81 7 1.56

SLT4 148 584 62 493 73 91 7 1.62

SLT5 208 564 57 471 66 93 8 1.57

3rd RST 217 636 76 534 88 102 8 1.77

31

Results-Bayou Zourrie

32

Events Time Side

Resistance

Tip

Resistance Total Resistance

kips % kips % kips %

Driven 0 365 - 237 - 2678/602 -

1st Dynamic Load Test 1 hr 457 25 221 -7 3016/678 13

2nd Dynamic Load Test 1 day 471 29 245 3 3185/716 19

1st Static Load Test 14 days

2nd Static Load Test 30 days

3rd Dynamic Load Test 78 days 656 80 222 -6 3906/878 46

0.01 0.1 1 10 100

Time, t (Days)

0

1000

2000

3000

4000

5000

6000

Pil

e R

esis

tan

ce, Q

R (

kN

)

0

225

450

674

899

1124

1349

Pil

e R

esis

tan

ce,Q

R (

kip

s)

R2 = 0.93

Set-up Results for Bayou Zourrie

33

LA-1

TP-2 TP-3

TP-4 TP-5 34

Events

Time Side Resistance, Rs

Hour

s kips

Set-up

Ratio

(Rs/Rso)

EOD 0.1 53 1.0

1st DLT 2.2 138 2.6

2nd DLT 3.9 205 3.9

3rd DLT 6.0 242 4.5

4th DLT 21.6 282 5.3

5th DLT 56.0 296 5.6

6th DLT 76.9 347 6.5

7th DLT 96.9 363 6.8

Static

Test

168.

0

400 7.5

For BL Rs/Rso 1.7 times (In 6 months)

BZ Rs/Rso 1.8 times (In 3 months)

Very soft soil

35

LA-1

Set-Up for

Bayou Teche and Bayou Bouef

Rs/Rso 1.9 times

(In 32 days)

Bayou Teche Bayou Bouef

Rs/Rso 3.8 times

(In 716 days-almost 2 years)

36

Pile Set-Up (Result of 12 Test Piles)

The result is consistent with literature that

set-up fits best with linear logarithmic of time

37

Set-Up Process with

Consolidation Behavior

0.001 0.01 0.1 1 10 100 1000

Time after EOD, t (Days)

100

80

60

40

20

0

Per

cen

tage

of

Exce

ss P

ore

Wa

ter

P

ress

ure

Dis

sip

ati

on

(%

)

8.54 m deep

12.20 m deep

16.47 m deep

19.52 m deep

2nd Restrike1st SLT

3rd SLT 4th SLT

5th SLT

Installation of Load Frame

2nd SLT

TP-1

0.001 0.01 0.1 1 10 100 1000

Time after EOD, t (Days)

100

80

60

40

20

0

8.54 m deep

10.98 m deep

14.64 m deep

18.30 m deep

2nd Restrike

1st SLT

3rd SLT

4th SLT

5th SLT

Installation of Load Frame

2nd SLT

TP-3

Set-up continues for

127 days No set-up after 15

days 38

Set-Up Process with

Consolidation Behavior By Layers

Smaller amount of set-up or low

rate of set-up as consolidation

process finished earlier

Higher amount or rate of set-up as

consolidation process continued for

longer period of time

39

Set-Up for Individual Soil Layers

Load Distribution Plot

Load-Strain Plot

Modulus-Strain Plot

P = E x ξ x A

Tip

Resistance

Used to calculate the

resistance of individual soil

layers

40

CAPWAP ANALYSES

CAPWAP analyses for

Bayou Zourrie

CAPWAP analyses for LA-1

Test Pile

0 100 200 300

Unit Side Resistance (kPa)

16

13

10

8

5

3

0

Dep

th (

m)

0 100 200 300

Unit SIde Resistance (kPa)

51

48

45

42

39

36

33

30

27

24

21

18

15

12

9

6

3

0

Dep

th (

ft)

EOD

BOR1

BOR2

BOR3

0 1000 2000 3000 4000

Total Side Resistance (kN)

16

13

10

8

5

3

0

Dep

th (

m)

0 225 449 674 899

Total Side Resistance (kips)

51

48

45

42

39

36

33

30

27

24

21

18

15

12

9

6

3

0

Dep

th (

ft)

.

EOD

BOR1

BOR2

BOR3

41

Soil Profile for Bayou Zourrie

Test-1

Test-2

Test-3

0 4 8 12 16

Tip Resistance, qt, (MPa)

0

3

6

9

12

15

18

21

24

27

30

33

36

39

42

45

48

51

54

57

60

63

66

69

De

pth

(ft)

0 25 50 75 100

Probability of

Soil Type(%)

Layer-1

TN. SI. SA.

21

20

19

18

17

16

15

14

13

12

11

10

9

8

7

6

5

4

3

2

1

0

De

pth

(m

)

Soil Type

GR. & TN. SA

GR. & TN. CL.SA. w/CL

BR. SA. SI.

Liquid Limit

Moisture Content

Plasticity Index

0 25 50 75 100

M.C.; L.L.; & P.I.

Clay

Silt

Sand

0 25 50 75 100

Particle

Size Distribution (%)

Su from UU

Su from CPT

0 300 600

Su (kPa)

TN. SA.

GR. & BR. CL

GR. SI. CL.

PCPT

Minimum

Maximum

Insitu

0 0.04 0.08

Coefficient of

Consolidation (cm2/sec)

GR. Sandy CL.

Layer-2

Layer-3 Layer-4 Layer-5 Layer-6

42

Set-Up in Clayey Soil layers

0.001 0.01 0.1 1 10 100 1000

Time after EOD, t (Days)

0

1

2

3

4

Set

-up R

atio

of

Sid

e R

esis

tance

(f t/f

o)

0

20

40

60

80

Dis

sipat

ion o

f E

xce

ss P

WP

(kP

a)

Excess PWP

DLT

SLT

ft/fo = 0.26 log (t/to) + 1

R2 = 0.99

Clayey Soil Layer of Bayou Lacassine Clayey Soil Layer of Bayou Lacassine

0.001 0.01 0.1 1 10 100Time, t (Days)

0.00

0.73

1.47

2.20

Unit

Sid

e R

esis

tance,

f (

ksf

)

0.0

35.1

70.2

105.3U

nit

Sid

e R

esis

tance

, f

(kP

a)DLT-Layer-1

SLT-Layer-1

DLT-Layer-6

SLT-Layer-6

DLT-Layer-7

SLT-Layer-7

R2 = 0.96

fs/fso = 0.31 log (t/to) + 1

fs/fso = 0.37 log (t/to) + 1

R2 = 0.70

fs/fso = 0.43 log (t/to) + 1

R2 = 0.87

Clayey Soil Layer of LA-1 site

0.001 0.01 0.1 1 10Time, t (Days)

0.00

0.32

0.63

0.95

Unit

Sid

e R

esis

tance

, f

(ksf

)

0.0

15.2

30.3

45.5

Unit

Sid

e R

esis

tance

, f

(kP

a)DLT-Layer-2

SLT-Layer-2

DLT-Layer-4

SLT-Layer-4

DLT-Layer-5

SLT-Layer-5

R2 = 0.99

fs/fso = 0.40 log (t/to) + 1

fs/fso = 0.45 log (t/to) + 1

R2 = 0.99

fs/fso = 0.51 log (t/to) + 1

R2 = 0.96

Clayey Soil Layer of LA-1 site 43

Set-Up in Sandy Soil layers

Sandy Soil Layer of Bayou Zourie Sandy Soil Layer of Bayou Lacassine

0.001 0.01 0.1 1 10 100Time, t (Days)

0.00

0.93

1.87

2.80

Unit

Sid

e R

esis

tance

, f

(ksf

)

0.0

44.7

89.4

134.1U

nit

Sid

e R

esis

tance

, f

(kP

a)DLT-Layer-2

SLT-Layer-2

SLT-Layer-5

SLT-Layer-5

DLT-Layer-8

R2 = 0.94

fs/fso = 0.08 log (t/to) + 1

fs/fso = 0.07 log (t/to) + 1

R2 = 0.76

fs/fso = 0.13 log (t/to) + 1

R2 = 0.98

Sandy Soil Layers of LA-1 site

0.001 0.01 0.1 1 10Time, t (Days)

0.00

0.68

1.37

2.05

Unit

Sid

e R

esi

stance,

f (k

sf)

0.0

32.7

65.4

98.1

Unit

Sid

e R

esi

stance, f

(kP

a)

DLT-Layer-3

SLT-Layer-3

DLT-Layer-6

SLT-Layer-6

DLT-Layer-9

SLT-Layer-9

R2 = 0.97

fs/fso = 0.20 log (t/to) + 1

fs/fso = 0.16 log (t/to) + 1

R2 = 0.96

fs/fso = 0.12 log (t/to) + 1

R2 = 0.74

Sandy Soil Layers of LA-1 site 44

SUMMARY OF “A”

• 94 soil layers were first identified based on soil strata from 12 instrumented test piles.

• Clayey soil behavior was dominant in 70 soil layers.

• Sandy soil behavior was dominant in 24 soil layers.

• Set-up parameter “A” was back-calculated for all soil layers using unit side resistance (fs).

• The maximum “A” for clayey soil layers was 0.53.

• The average “A” for clayey soil layer was 0.31.

• The maximum “A” for sandy soil layers was 0.25.

• The average “A” for sandy soil layer was 0.15.

45

EMPIRICAL MODEL

46

Steps Followed for Model Preparation Identify potential soil properties

Find the correlation between soil properties and “A” parameter

Develop the model with SAS

Perform “F” test and “t” test to find the significance of the model as well the independent parameters

Perform detail statistical analyses (Goodness of fit, COV, Correlation among the parameters, Pseudo R

2 etc)

Validate the model with non-instrumented pile (These were not used to develop the model)

Verify the model with published case studies

47

Undrained Shear Strength (Su)

Plasticity Index (PI)

Over consolidation ratio (OCR)

Coefficient of consolidation (cv)

Overburden pressure/Depth

Pile size/width (r)

Sensitivity (St)

Corrected Cone Tip Resistance (qt)

48

EMPIRICAL MODELS

Level-1 Including Undrained Shear Strength (Su)

Plasticity Index (PI)

Level-2 Including Undrained Shear Strength (Su)

Plasticity Index (PI)

Coefficient of Consolidation (cv)

Level-3 Including Undrained Shear Strength (Su)

Plasticity Index (PI)

Coefficient of Consolidation (cv)

Sensitivity (St)

49

Clayey soil with high Su exhibited low set-up

Clayey soil with low Su exhibited high set-up

Clayey soil with low PI exhibited low set-up

Clayey soil with high PI exhibited high set-up 50

Clayey soil with high cv exhibited low set-up

Clayey soil with low cv exhibited high set-up

OC clay exhibited low set-up

NC clay exhibited high set-up 51

High sensitive clay exhibited higher set-up

Low sensitive clay exhibited lower set-up

52

No strong correlation was observed in

between depth and pile size with “r”

53

Final Developed Models

𝐀 =𝟏.𝟏𝟐∗

𝐏𝐈

𝟏𝟎𝟎+𝟎.𝟔𝟗

𝐒𝐮

𝟏𝐭𝐬𝐟𝟏

.𝟒𝟒 ∗ 𝐥𝐨𝐠

𝐂𝐯

𝟎.𝟎𝟏𝐢𝐧𝟐

𝐡𝐨𝐮𝐫

𝟎.𝟓𝟒+𝟑.𝟏𝟗

A=f (PI, Su, Cv)

𝑨 =𝟎.𝟕𝟗∗

𝑷𝑰

𝟏𝟎𝟎+𝟎.𝟒𝟗

𝑺𝒖

𝟏𝒕𝒔𝒇𝟐

.𝟎𝟑+𝟐.𝟐𝟕

A=f (PI, Su)

𝐀 =𝟎.𝟒𝟒∗

𝐏𝐈

𝟏𝟎𝟎𝐒

𝐭+𝟐.𝟐𝟎

𝐒𝐮

𝟏𝐭𝐬𝐟𝟏

.𝟗𝟒 ∗ 𝐥𝐨𝐠

𝐂𝐯

𝟎.𝟎𝟏𝐢𝐧

𝟐

𝐡𝐨𝐮𝐫

𝟏.𝟎𝟔+𝟏𝟎.𝟔𝟓

A=f (PI, Su, Cv, St)

54

EMPIRICAL MODEL Implementation Procedure

1. Define the soil layers along the length of the pile

2. Calculate the subsurface soil properties (i.e., Su, PI, OCR, cv, St, qt)

3. Evaluate fso of each soil layer from 1st restrike (1 hr to 1 day).

4. Use the developed model to calculate fs at desired time (for clay)

fs

fso= 1 + [

0.79 PI

100 + 0.49

Su1 tsf

2.03 + 2.27] log

t

to

Rsi (set-up) = fsi (set-up) x Asi

5. Use a constant value of A = 0.15 set-up parameter (for sand)

f

s

fso= 1 + 0.15 log

t

to

6. Rs (set-up) = Rs1 (set-up) + Rs2 (set-up) +……..+ Rsn (set-up)

55

LRFD CALIBRATION

LRFD CALIBRATION

The limit state equation is

g (R, Q) = R – Q After considering set-up the above Equation can be rewritten as

g (R, Q) = (R14+Rset-up) – Q The limit state equation becomes

ϕ14R14 + ϕset-upRset-up = γDLQDL + γLLQLL

57

LRFD CALIBRATION For Φ14 By Abu-Farsakh et al. (2009)

Design Method

Resistance Factor (f14) and Efficiency Factor

(f/l) for Louisiana Soil Recommended

f14 FOSM FORM Monte Carlo

Simulation

f14 f14/l f14 f14/l f14 f14/l

Static method

a-Tomlinson

method and

Nordlund

method

0.56 0.58 0.63 0.66 0.63 0.66 0.60

Direct CPT

method

Schmertmann 0.44 0.47 0.48 0.52 0.49 0.53 0.48

LCPC/LCP 0.54 0.51 0.60 0.56 0.59 0.56 0.58

De Ruiter and

Beringen 0.66 0.55 0.74 0.62 0.73 0.61 0.70

CPT average 0.55 0.53 0.61 0.59 0.62 0.59 0.60

Dynamic

measurement

CAPWAP

(EOD) 1.31 0.36 1.41 0.39 — — 1.40

CAPWAP (14

days BOR) 0.55 0.44 0.61 0.52 0.62 0.47 0.60

58

LRFD CALIBRATION

(a) Comparison of (R30 - R14)

for Level-1 (b) Comparison of (R45 - R14)

for Level-1

*Set-up was predicted with the developed models. *Set-up was calculated or LRFD was calibrated for the resistance after 14 days for four different times. 1. 30 days 2. 45 days 3. 60 days 4. 90 days

LRFD CALIBRATION

(c) Comparison of (R60 - R14) for

Level-1

(d) Comparison of (R90 - R14)

for Level-1

Summary Statistics

Rm/Rp Rp/Rm

Time Mean

(λR) σ COV Mean

14-30 1.13 0.47 0.41 1.03

14-45 1.02 0.33 0.33 1.18

14-60 1.00 0.29 0.29 1.22

14-90 0.97 0.26 0.27 1.23

Probability Density Function and Histogram

R30 - R14 R45 - R14

R60 - R14 R90 - R14

61

Reliability Calibration Methods:

FOSM – closed form solution

ϕsetup = γD.L. +

γL.L.Ҡ − ϕ14 𝜶 (𝟏 + Ҡ)

λD.L. + λ L.LҠ − λR14ϕ14

(γD.L. + γL.L.Ҡ)

Rsetup

FORM – iterative procedure

Monte Carlo Simulation (MCS) Method –

iterative procedure

62

α = R14

QD.L. + QL.L

Ҡ = QL.L.

QD.L.

= 𝟎. 𝟑𝟑

LRFD CALIBRATION

CALIBRATION RESULTS

R30 - R14 R45 - R14

R60 - R14 R90 - R14

0.30 0.34

0.35 0.35

63

βT = 2.33

Recommended FOSM FORM MC

LTRC @ 14-30 Days 0.28 0.28 0.30 0.30

LTRC @ 14-45 Days 0.32 0.33 0.34 0.34

LTRC @ 14-60 Days 0.34 0.35 0.36 0.35

LTRC @ 14-90 Days 0.34 0.36 0.37 0.35

Kam Ng (2013) 0.36 - -

Yang & Liang (2006) - 0.30 -

Overall Recommended = fsetup = 0.35

setupsetup1414LLDD RRQQ ff

64

CALIBRATION RESULTS

• Set-up study was conducted on 12 instrumented test piles of 5 different sites. Set-up was mainly exhibited by side resistance. The tip resistance was almost constant.

• Set-up was mainly attribute to the consolidation behavior. Amount of set-up and set-up rate increased significantly during consolidation phase. Very small amount of set-up was observed during “aging” period.

• Horizontal effective stress increased significantly during the consolidation period. Once the consolidation period was over, the amount of increase became slower.

• Set-up for individual soil layers was calculated with the aid of strain gauge.

• The set-up rate “A” for clayey soil layers was 0.31 and for sandy soil layers it was 0.15.

65

CONCLUSIONS

• Three models were developed

• A =0.79∗

PI

100+0.49

Su

1tsf2

.03+2.27

A= f(PI, Su) [Lab Test]

• A =1.12∗

PI

100+0.69

Su

1tsf1

.44 ∗ log

Cv

0.01in2

hour

0.54+3.19

A= f(PI, Su, Cv) [Lab Test]

• A =0.44∗

PI

100S

t+2.20

Su

1tsf1

.94 ∗ log

Cv

0.01in2

hour

1.06+10.65

A= f(PI, Su, Cv, St) [Lab Test]

• Set-up rate can be processed to predict total set-up resistance.

• The recommended set-up factor is 0.35 for LRFD design.

66

CONCLUSIONS

67

• Chen, Q., Haque, Md. N., Abu-Farsakh, M., and Fernandez, B. A. (2014). “Field investigation of pile setup in mixed soil.” Geotechnical Testing Journal, Vol. 37(2), pp. 268-281.

• Haque, Md. N., Abu-Farsakh, M., Chen, Q., and Zhang, Z. (2014). “A case study on instrumenting and testing full scale test piles for evaluating set-up phenomenon.” Journal of the Transportation Research Board No 2462, National Research Council, Washington, D.C., pp. 37-47.

• Haque, Md. N., Abu-Farsakh, M., Zhang, Z. and Okeil, A. (2016). “Estimate pile set-up for individual soil layers and develop a model to estimate the increase in unit side resistance with time based on PCPT data.” Journal of the Transportation Research Board , National Research Council, Washington, D.C. (In Press).

• Haque, Md. N., Chen, Q., Abu-Farsakh, M., and Tsai, C. (2014). “Effects of pile size on set-up behavior of cohesive soils.” In Proceedings of Geo-Congress-2014: Geo-Characterization and Modeling for Sustainability, Technical Papers GSP 234, pp. 1743-1749.

• Haque, Md. N., Abu-Farsakh, M., and Chen, Q. (2015). “Pile set-up for individual soil layers along instrumented test piles in clayey soil.” In Proceedings of the 15th Pan-American Conference on Soil Mechanics and Geotechnical Engineering (From fundamentals to applications in Geotechnics), November 15-18, Argentina, pp. 390-397.

68

ACKNOWLEDGEMENT

• LADOTD Geotechnical Department

• Louisiana Transportation Research Center (LTRC)


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