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Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated ground motions

Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

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Page 1: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Nirmal Jayaram

Nilesh Shome

Helmut Krawinkler

2010 SCEC Annual Meeting

A statistical analysis of the responses of tall buildings to recorded and simulated ground motions

Page 2: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Objectives

• We are interested in performing statistical analysis to evaluate the level of similarity between the responses of tall buildings to recorded and simulated ground motions

• In this study, we analyze the structural response of a 40 story steel moment frame (SMF) building designed based on the 2006 IBC

• We consider structural response parameters (aka engineering demand parameters) such as story drift ratio (SDR), peak floor acceleration (PFA), residual drift ratio (ResDR) and beam plastic rotation

• Recorded ground motions are selected from the NGA database, and simulated ground motions are selected from the Puente Hills simulations

© 2010 Risk Management Solutions inc.2

Page 3: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Structural model

• We use a 40 story steel moment frame buildings (SMF) designed by Professor Helmut Krawinkler based on the 2006 IBC code as a representative SMF tall building in CA

• It has 3-bay perimeter frames on each side, as commonly done for SMF frames

• The fundamental period of the structure equals 6.4s. The 2nd and 3rd mode periods are 2.4s and 1.4s respectively

© 2010 Risk Management Solutions inc.3

3@20’

140’

3@2

0’

100’

Page 4: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Structural model

We use accurate models to represent element behavior in response analysis for loss estimation.

© 2010 Risk Management Solutions inc.4

-0.08 -0.06 -0.04 -0.02 0 0.02 0.04 0.06 0.08-4

-3

-2

-1

0

1

2

3

4x 10

4

Ke = 2250000

My+ = 28500

My- = -28500

p = 0.020

pc = 0.45

s = 1.5

c = 1.5

a = 1.5

k = 1.3

Mc/M

y = 1.05

Chord Rotation (rad)

Mo

men

t (k

-in

)

Engelhardt-E9608-UTDB3-MomentRotation

Moment-rotation models (red) derived from experimental data (blue)

Beam

Column2 Rotational

SpringsRotationalSpring

db

dc

RigidElement

SHEAR FORCE - SHEAR DISTORTION RESPONSEFOR TYPICAL PANEL ZONE

-800

-400

0

400

800

-0.02 -0.01 0 0.01 0.02 0.03 0.04

Panel Zone Distortion (radians)

Pan

el Z

one

Sh

ear

For

ce (

kip

s)

Panel zone model and shear force-deformation model at the Beam-Column connection

Page 5: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Ground motion selectionWe selected recorded and simulated ground motion sets with the following properties:

• Both sets have 40 ground motions each• The ground motions are chosen so that their spectra have a target conditional

mean spectrum (CMS) mean and variance, for a target scenario earthquake of magnitude 6.5, distance 5km, epsilon 1. This is based on deaggregation of seismic hazard at Civic Center, Los Angeles for a 2,475 return period Sa(5s)

• For each recorded ground motion, we select a simulated ground motion so that the response spectra of both ground motions match

© 2010 Risk Management Solutions inc.5

Page 6: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Spectrum moments

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The ground motions are selected based on an algorithm developed by Jayaram et al. (2011)

Page 7: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Engineering demand parameters (EDP) of interest

• Story drift ratio: The absolute maximum (over time) ratio of the relative displacement between two adjacent stories to the story height (∆/h)

• Peak floor acceleration: The absolute maximum (over time) acceleration at the floor level

• Residual drift ratio: The story drift ratio at the end of the excitation

• Beam plastic rotation: The absolute maximum (over time) plastic rotation of the beam (γ)

© 2010 Risk Management Solutions inc.7

Page 8: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

simrecEDPrecsim

simrecEDPsimrec

nnsEDPEDP

nnsEDPEDP

11ˆ96.1

11ˆ96.1

Hypothesis testing methodology• In this study, the EDPs are estimated for the selected recorded and simulated

ground motions. • We are interested in testing whether there are systematic differences between the

EDPs in these two cases, using hypothesis testing• Hypothesis testing is used to identify whether differences in the EDPs are due to

the randomness associated with finite sample sizes or are inherent/ systematic• Suppose we are interested in testing whether mean(EDPrec) differs from

mean(EDPsim) Null hypothesis

mean(EDPrec) - mean(EDPsim) = 0 Alternate hypothesis

mean(EDPrec) - mean(EDPsim) ≠ 0

• Reject null hypothesis if

© 2010 Risk Management Solutions inc.8

Page 9: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Story drift ratio: moments

Absolute mean correlation difference = 0.16, One-sided bound = 0.19© 2010 Risk Management Solutions inc.

9

Page 10: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Peak floor acceleration: moments

Absolute mean correlation difference = 0.02, One-sided bound = 0.03

© 2010 Risk Management Solutions inc.10

Page 11: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Residual drift ratio: residual drift ratio

Absolute mean correlation difference = 0.24, One-sided bound = 0.23

© 2010 Risk Management Solutions inc.11

Page 12: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Beam rotation: moments

Absolute mean correlation difference = 0.16, One-sided bound = 0.22

© 2010 Risk Management Solutions inc.12

Page 13: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Summary

• We compared the structural responses of tall buildings under sets of recorded and simulated ground motions, and observed some differences

• Further investigation is required to identify the reasons for these differences

EDP Significance of deviation in

Median Dispersion Correlation

SDR Insignificant except at lower stories

Insignificant Insignificant*

PFA Significant Insignificant Insignificant

ResDR Insignificant except at lower stories

Insignificant Significant

Rotation Insignificant* Insignificant Insignificant*

© 2010 Risk Management Solutions inc.13

Page 14: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

OPTIONAL SLIDES

© 2010 Risk Management Solutions inc.14

Page 15: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Story drift ratio: comparison

© 2010 Risk Management Solutions inc.15

Page 16: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Beam moment: moments

Absolute mean correlation difference = 0.17, One-sided bound = 0.22

© 2010 Risk Management Solutions inc.16

Page 17: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

simrecEDPrecsim

simrecEDPsimrec

nnsEDPEDP

nnsEDPEDP

11ˆ96.1

11ˆ96.1

Hypothesis testing methodology

© 2010 Risk Management Solutions inc.17

Page 18: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

PFA mismatch

100

101

10-1

100

T (s)

Sa(T

) (g

)

0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.60

5

10

15

20

25

30

35

40

SDR

Sto

ry

© 2010 Risk Management Solutions inc.18

Page 19: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Residual drift ratio: comparison

© 2010 Risk Management Solutions inc.19

Page 20: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Beam moment: comparison

© 2010 Risk Management Solutions inc.20

Page 21: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Beam rotation: comparison

© 2010 Risk Management Solutions inc.21

Page 22: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Dominant spectral periods: PEER TBI set

Story SDR PFA Story SDR PFA

1 0.55 0.05 21 0.44 0.23

2 0.64 0.05 22 0.44 0.23

3 0.65 0.43 23 0.44 0.23

4 0.65 0.42 24 0.44 0.38

5 6.09 0.42 25 0.44 0.21

6 6.09 0.23 26 0.07 0.21

7 6 0.23 27 0.07 0.21

8 5.96 0.5 28 0.07 0.05

9 5.96 0.5 29 0.07 5.96

10 5.53 0.5 30 0.07 0.05

11 0.21 0.54 31 0.07 0.38

12 0.37 0.5 32 0.07 0.05

13 0.38 0.5 33 2.01 0.05

14 0.38 0.5 34 2.01 5.47

15 0.38 0.23 35 2 0.4

16 0.38 0.23 36 1.99 0.38

17 0.38 0.23 37 1.99 0.38

18 5.72 0.23 38 2.92 0.38

19 0.44 0.23 39 2.96 0.38

20 0.44 0.23 40 0.53 0.64

© 2010 Risk Management Solutions inc.22

Page 23: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Dominant spectral periods: CMS-based set

Story SDR PFA Story SDR PFA

1 6.5 0 21 6.5 0

2 6.5 0 22 6.5 0

3 6.5 0 23 6.5 0

4 6.5 0 24 6.5 0

5 6.5 0 25 6.5 0

6 6.5 0 26 6.5 0

7 6.5 0 27 6.5 0

8 6.5 0 28 6.5 0

9 6.5 0 29 6.5 0

10 6.5 0 30 6.5 0

11 6.5 0 31 6.5 0

12 6.5 0 32 6.5 0

13 6.5 0 33 2.5 0

14 6.5 0 34 2.5 0

15 7 0 35 2.5 0

16 7 0 36 2.5 0

17 7 0 37 2.5 0

18 6.5 0 38 3 0

19 6.5 0 39 3 0

20 6.5 0 40 6 0

© 2010 Risk Management Solutions inc.23

Page 24: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Dominant period: PFA and SDR

© 2010 Risk Management Solutions inc.24

Page 25: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

15 recorded and 15 simulated ground motions were selected for the PEER TBI (OVE level)

The mean and the standard deviation of the recorded and the simulated response spectra show some mismatches even at long periods

© 2010 Risk Management Solutions inc.25

Page 26: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Story drift ratio: moments

Absolute mean correlation difference = 0.2© 2010 Risk Management Solutions inc.

26

Page 27: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Peak floor acceleration: moments

Absolute mean correlation difference = 0.15© 2010 Risk Management Solutions inc.

27

Page 28: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Residual drift ratio: moments

Absolute mean correlation difference =0.3

© 2010 Risk Management Solutions inc.28

Page 29: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Beam moment: moments

Absolute mean correlation difference = 0.27

© 2010 Risk Management Solutions inc.29

Page 30: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

Beam rotation: moments

Absolute mean correlation difference = 0.28

© 2010 Risk Management Solutions inc.30

Page 31: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

PEER building: Concrete core wall, EW component

© 2010 Risk Management Solutions inc.31

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.40

5

10

15

20

25

30

35

40

45

50

Dispersion of PFA

Sto

ry

Recorded

Simulated

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.450

5

10

15

20

25

30

35

40

45

50

Dispersion of SDR

Sto

ry

Recorded

Simulated

0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 0.0450

5

10

15

20

25

30

35

40

45

50

Median SDR

Sto

ry

Recorded

Simulated

0.2 0.4 0.6 0.8 1 1.2 1.4 1.60

5

10

15

20

25

30

35

40

45

50

Median PFA

Sto

ry

Recorded

Simulated

Page 32: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

PEER building: Concrete core wall, NS component

© 2010 Risk Management Solutions inc.32

0 0.005 0.01 0.015 0.02 0.025 0.030

5

10

15

20

25

30

35

40

45

50

Median SDR

Sto

ry

Recorded

Simulated

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.450

5

10

15

20

25

30

35

40

45

50

Dispersion of SDR

Sto

ry

Recorded

Simulated

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.450

5

10

15

20

25

30

35

40

45

50

Dispersion of PFA

Sto

ry

Recorded

Simulated

0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.20

5

10

15

20

25

30

35

40

45

50

Median PFA

Sto

ry

Recorded

Simulated

Page 33: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

PEER building: Dual system, EW component

© 2010 Risk Management Solutions inc.33

0 0.2 0.4 0.6 0.8 1 1.2 1.40

5

10

15

20

25

30

35

40

45

50

Dispersion of PFA

Sto

ry

Recorded

Simulated

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.60

5

10

15

20

25

30

35

40

45

50

Median PFA

Sto

ry

Recorded

Simulated

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.50

5

10

15

20

25

30

35

40

45

50

Dispersion of SDR

Sto

ry

Recorded

Simulated

0 0.005 0.01 0.015 0.02 0.025 0.030

5

10

15

20

25

30

35

40

45

50

Median SDR

Sto

ry

Recorded

Simulated

Page 34: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

PEER building: Dual system, NS component

© 2010 Risk Management Solutions inc.34

0 0.002 0.004 0.006 0.008 0.01 0.012 0.014 0.016 0.018 0.020

5

10

15

20

25

30

35

40

45

50

Median SDR

Sto

ry

Recorded

Simulated

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.450

5

10

15

20

25

30

35

40

45

50

Dispersion of SDR

Sto

ry

Recorded

Simulated

0 0.2 0.4 0.6 0.8 1 1.2 1.40

5

10

15

20

25

30

35

40

45

50

Dispersion of PFA

Sto

ry

Recorded

Simulated

0 0.5 1 1.50

5

10

15

20

25

30

35

40

45

50

Median PFA

Sto

ry

Recorded

Simulated

Page 35: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

PEER building: Braced frame, EW component

© 2010 Risk Management Solutions inc.35

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.50

5

10

15

20

25

30

35

40

Dispersion of PFA

Sto

ry

Recorded

Simulated

0.4 0.5 0.6 0.7 0.8 0.9 10

5

10

15

20

25

30

35

40

Median PFA

Sto

ry

Recorded

Simulated

0 0.1 0.2 0.3 0.4 0.5 0.6 0.70

5

10

15

20

25

30

35

40

Dispersion of SDR

Sto

ry

Recorded

Simulated

0 0.005 0.01 0.015 0.02 0.0250

5

10

15

20

25

30

35

40

Median SDR

Sto

ry

Recorded

Simulated

Page 36: Nirmal Jayaram Nilesh Shome Helmut Krawinkler 2010 SCEC Annual Meeting A statistical analysis of the responses of tall buildings to recorded and simulated

PEER building: Braced frame, NS component

© 2010 Risk Management Solutions inc.36

0 0.1 0.2 0.3 0.4 0.5 0.6 0.70

5

10

15

20

25

30

35

40

Dispersion of SDR

Sto

ry

Recorded

Simulated

0 0.005 0.01 0.015 0.02 0.025 0.030

5

10

15

20

25

30

35

40

Median SDR

Sto

ry

Recorded

Simulated

0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.450

5

10

15

20

25

30

35

40

Dispersion of PFA

Sto

ry

Recorded

Simulated

0.25 0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7 0.750

5

10

15

20

25

30

35

40

Median PFA

Sto

ry

Recorded

Simulated