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Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Page 1: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering

Dr. Erol Kalkan, P.E. United States Geological SurveyTUFTS, 2008

Page 2: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

Dr. E. Kalkan Slide: 2/53

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This study is based on a paper published in theJournal of Structural Engineering,

and winner of the 2008 ASCE Raymond Reese Research

Award

Page 3: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

Dr. E. Kalkan Slide: 3/53

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Outline

• Seismic Analysis Methods of Structures• Nonlinear Static Analysis

– Fundamental Theory– Conventional Methods (FEMA and ATC)– Limitations

• Adaptive Nonlinear Static Analysis– Methodology Developed– Comparative Results

• Summary & Conclusions

Page 4: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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• Linear static procedures• Equivalent static analysis

• Linear dynamic procedures• Modal analysis • Direct time-history analysis

• Nonlinear static analysis - Nonlinear static procedures (NSPs)

• Capacity spectrum analysis (ATC-40, FEMA-440)• Displacement coefficients method (FEMA-273-274,356,440)

- Improved NSPs• Modal pushover analysis (MPA) (Chopra & Goel, 2002)• Adaptive Modal Combination (AMC) (Kalkan & Kunnath, 2006)

• Nonlinear dynamic analysis

Seismic Analysis Methods of Structures

Most common in routine applications

Page 5: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

Dr. E. Kalkan Slide: 5/53

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Nonlinear Static Analysis

Conceptual Theory&

Current Practice

Page 6: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Multi-degree-of-freedom (MDF) system

seismic behavior can be approximated with certain accuracy

by equivalent SDF systems.

Equivalent SDF (ESDF) system properties are computed by conducting pushover analyses…

Page 7: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Conventional Nonlinear Static (Pushover) Analysis Choose height-wise distribution of lateral forces Monotonically increase lateral forces till the “control node” reaches a

“target displacement” i.e., increasing load factor while fixing load pattern.

Develop pushover (capacity) curve: Plot of base shear vs. roof displacement

ur

Vb

Page 8: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Summary of Nonlinear Static Analysis

VV

V

InelasticInelasticSDF SystemSDF System

Target Displacementof MDF System ut

ut

uj

j

Capacity estimation at Capacity estimation at target displacementtarget displacement

Pushover AnalysisPushover Analysis

Participation Participation Factor, Factor, nn

Dn

Fsn/Ln

ESD System ESD System Force-Deformation RelationForce-Deformation Relation

Page 9: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Fundamental Assumptions:

• The response of the multi-degree-of-freedom (MDF) structure can be related to the response of an equivalent SDF system, implying that the response is controlled by a single mode and this mode shape remains unchanged even after yielding occurs.

• The invariant lateral force distribution can represent and bound the distribution of inertia forces during an earthquake.

Page 10: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Two Important Components of Nonlinear Static Analysis

Page 11: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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*

*1

*

*

Uniform:

First Mode :

ELF : 1 2

SRSS : from story shears

j j

j j j

kj j j

j

s m

s m

s m h k to

s

ELF and SRSS distributions intended to consider higher mode responses

Height-wise Distribution of Lateral Forces: FEMA Recommendations

Page 12: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. FEMA Recommended Force

Distributions

Each force distribution pushes all floors in same direction

Page 13: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Higher Mode Response

Initial Yielding Initial Yielding

Initial Yielding Initial Yielding

Page 14: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Two Important Components of Nonlinear Static Analysis

Page 15: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Target Displacement Estimation

(Displacement Coefficient Method)

2

0 24e

t inel A

Tu C C S u

f

Elastic SDF System

u

f

Inelastic SDF System

u

f

Inelastic MDF System

C0 = Constant to relate elastic deformation of SDF and MDF system

Page 16: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Dr. E. Kalkan Slide: 16/55

Displacement Coefficient Method

FEMA-356: Cinel =C1C2C3

• C1 = Ratio of inelastic and elastic SDF systems

• C2 = Constant to account for effects of pinching, stiffness degradation, and strength deterioration

• C3 = Constant to account for P-Delta effects

ASCE-41: Cinel = C1C2

• C1 = Ratio of inelastic and elastic SDF systems

• C2 = Constant to account for cyclic degradation of stiffness and strength

• Upper limit on R to avoid dynamic instability

Page 17: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Capacity Spectrum Method

0 ( , )t D eq equ C S T

u

f

Inelastic MDF System

u

f

Equivalent Linear Elastic SDF System

Teq, eq

u

f

Inelastic SDF System

Page 18: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Capacity Spectrum Method – Equivalent Damping Concept

1

1 110.05

1

eq o

eq

T T

For bilinear systems

Requires iterations to compute Teq and eq

because of unknown ductility (uinel / uelas)

10.05

4D

eqSo

E

E

Teq= Tsec

Sd

Sa

ESo

ED

Page 19: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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FEMA-440 Capacity Spectrum Method

2 3

2

2

1 1 ; 4.0

1 ; 4.0 6.5

1 1; 6.5

1

eq o

o

eqo

o

A B

C D

F TE

TF

A to K = Constants that depend on hysteretic behavior and post-yield stiffness ratio

2 31 1 1 ; 4.0

1 1 ; 4.0 6.5

-1K 1 1 ; 6.5

1+L 2

eq o

o

o

T G H T

I J T

T

Page 20: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Limitations of Conventional (FEMA

& ATC) Nonlinear Static Analysis Procedures

> Restricted to single mode response, can be reliably apply to 2D response of low-rise structures in regular plan.

> Gives erroneous results in case of:Higher Mode EffectsPlan Irregularities (i.e., Torsion, Vertical

Irregularities)

> No established procedure for 3D pushover analysis yet.

Page 21: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

Adaptive Nonlinear Analysis

Page 22: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Adaptive Pushover – Basic Concept

Page 23: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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0

1

2

3

4

5

6

Sto

ry L

ev

el

Elastic

St-1

St-2

St-3

St-4,5

St-6

Mode-1 Mode-2 Mode-3

Progressive Change in Modal Shapes

Page 24: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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T=10.6 sec T=8.44 sec T=11.24 sec T=8.96 sec T=8.96 sec T=8.86 sec

0

1

2

3

4

5

6

-2 -1 0 1 2

Inertia Forces (%W)

Sto

ry L

evel

Story-1

-2 -1 0 1 2

Inertia Forces (%W)

Story-2

-2 -1 0 1 2

Inertia Forces (%W)

Story-3

-2 -1 0 1 2

Inertia Forces (%W)

Story-4

-2 -1 0 1 2

Inertia Forces (%W)

Story-5

-2 -1 0 1 2

Inertia Forces (%W)

Story-6

Instantaneous inertia profiles when story maxima take place

Page 25: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Adaptive Modal Combination (AMC)

(Kalkan & Kunnath, 2006)

>Basic Elements of the Procedure• Establishing Target Displacement: An energy-based procedure is used

in conjunction with inelastic displacement spectra at a set of pre-determined ductility levels to progressively establish the target displacement as the modal pushover analysis proceeds.

• Dynamic Target Point: This concept is analogous to the performance point in CSM, however, it represents a more realistic representation of demand since inelastic spectra are used to target this demand point.

• Adaptive Modal Combination: The method recognizes the need to alter the applied lateral load patterns as the system characteristics change yet retain the simplicity of combining the response measures at the end of the analysis.

Page 26: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Energy Based Incremental Modal Displacement

> The basic limitation of current non-adaptive procedures is that elastic modal properties are used to compute the inelastic system parameters

> This approach may necessitate several iterations for convergence of target displacement computed from inelastic dynamic analysis.

> The roof displacement is approximated from the maximum deformation of an ESDF system. Such an approach is only meaningful for the first mode, while for higher modes, the roof displacement does not proportionally change with the other story deformations

Page 27: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Energy-based ESDF system representation of nth-mode MDF system capacity curve

Roof Displacement, u r,n

Bas

e S

hea

r, V

b,n

F 1(i)

F 2(i)

F 3(i)

d 3(i)

d 2(i)

d 1(i)

Forces

(sn(i))

( ) ( ) ( ) ( ), , , ,

1,3 1,3

( ) / ( )i i i id n n n j n j n j

j j

S D F d F

d 3(i)

Capacitycurve

(i-1)

(i)

(i)(i-1)

ur,n(i)ur,n

(i-1)

Spectral Displacement, S d,n

Sp

ectr

al A

ccel

erat

ion

, S

a,n

D n(i)

wn

(i)

n

(i)

,,

b na n

n

VS

W

D n(i)

Tn

(elastic)

wn

(i)) 2

Capacity spectrum

MDF Level

SDF Level

Page 28: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Performance point evaluation using system

ductility through a set of inelastic spectra

Spectral Displacement, S d,n

Sp

ectr

al A

ccel

erat

ion

, S a

,n

wn

(i)

n

(i)

wn

(ip)) 2Global Yield

( ),yieldd nS

( ),ipd nS

With computed system ductility, ( )ipn

Tn

(elastic)

Tn

(ip)

( ),( )

( ),

ipd nip

n yieldd n

S

S

Spectral Displacement, S d,n

Sp

ectr

al A

ccel

erat

ion

, S a

,n

( )ipn

Dynamic Target Point

Inelastic phase, period elongation

Tn

(elastic)T

n(ip)

Inelastic Demand Spectra plotted at different ductility levels

M odal CapacityCurve

Capacity Side

DemandSide

Page 29: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Dynamic target point evaluation in

the AMC procedure

0.0

0.1

0.2

0 5 10 15 20 25 30 35 40

Spectral Displacement, S d (cm)

Sp

ec

tra

l Ac

ce

lera

tio

n, S

a (g

)

T1(1)

w 12

Mode-1

Global Yield

( ),1yielddS

( ),1ipdS

T1(ip)

( )1 1.6ip

0.0

0.1

0.2

0.3

0.4

0.5

0 10 20 30 40 50

Spectral Displacement, S d (cm)

Sp

ec

tra

l Ac

ce

lera

tio

n, S

a (g

)

= 1.0

2.0

1.5

0.0

0.1

0.2

0.3

0.4

0.5

0 10 20 30 40 50

Spectral Displacement, S d (cm)

Sp

ec

tra

l Ac

ce

lera

tio

n, S

a (g

)

Dynamic TargetPoint

1.5

0.0

0.2

0.4

0.6

0.8

1.0

0 5 10 15 20 25 30 35

Spectral Displacement, S d (cm)

Sp

ec

tra

l Ac

ce

lera

tio

n, S

a (g

)

T2(1)

w 22

Mode-2

Global Yield

( ),2yielddS

( ),2ipdS

T2(ip)

( )2 1.5ip

0.0

0.5

1.0

1.5

2.0

0 10 20 30 40 50

Spectral Displacement, S d (cm)

Sp

ec

tra

l Ac

ce

lera

tio

n, S

a (g

) = 1.0

2.0

1.5

0.0

0.5

1.0

1.5

2.0

0 10 20 30 40 50

Spectral Displacement, S d (cm)

Sp

ec

tra

l Ac

ce

lera

tio

n, S

a (g

)

Dynamic TargetPoint

1.5

Page 30: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Validation Studies

> Several regular and irregular building frames of varying height were developed used for validation studies.

> Different suite of records were compiled from near-fault forward directivity, near-fault fling and far-fault recordings.

> Each building model was also subjected to a series of ground motions to generate benchmark results.

> Engineering demand parameters considered are roof drift ratio, inter-story drift ratio in global level and member plastic rotations and story ductility in local level for cross comparisons.

Page 31: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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> The structural system is essentially symmetrical.

> Moment continuity of each of the perimeter frames is interrupted at the ends where a simple shear connection is used to connect to the weak column axis.

4

7

6

5

3

2

1

BA

6@6.

1 m

DC E GF

[email protected] m 6@ 6.1m

5@4m

5.3m

3rdFloor

2ndFloor

1st Floor

4th Floor

5th Floor

Roof

W14

x176

W14

x90

W14

x132

W24x68

W24x84

W24x68

W24x68

W27x102

W30x116

A C E F GDB

Moment resisting connection

Moment resisting connectionSimple hinge connection

Structural Details of 6-story Building

Page 32: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Eart

hq

uake

Structural Details of 13-story Building

> The exterior frames of the building are the moment resisting frames and interior frames are for load bearing.

> The foundation consists of piles, pile caps and grade beams.

> The corner columns of outer frames are composed of box sections.

[email protected] = 48.8 m

5

E

F

G

C

D

B

4

5@9.

76 =

48.

8 m

86 7 9

Moment resisting connection

(a) Plan view of perimeter frames

(b) Elevation

W33x118

W27x84

W33x141

W33x130

W33x130

W33x152

W33x152

W33x152

W33x141

W33x118

W36x230

W33x152

W33x152

W33x194

W14

x314

W14

x426

W14

x500

W14

x398

W14

x246

W14

x287

W14

x167

6th Floor

5th Floor

1st Floor

2nd Floor

3rd Floor

Plaza Level

4th Floor

12th Floor

Roof

9th Floor

10th Floor

11th Floor

7th Floor

8th Floor12

@4.

013

= 4

8.2

m

4.88

4.42

[email protected] = 48.8 m

Moment resisting connectionSimple hinge connection

Page 33: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

Dr. E. Kalkan Slide: 33/53

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g. Analytical Modeling in OpenSEES

(Open source Finite Element Software)

One half of the total building mass was applied to the frame distributed proportionally to the floor nodes.

The simulation of special features such as local connection fracture did not accounted for; consequently, the modeling of the members and connections was based on the assumption of stable hysteresis derived from a bilinear stress-strain model.

The columns were assumed to be fixed at the base level (No SSI).

Centerline dimensions were used in the element modeling. A force-based nonlinear beam-column element that utilizes a

layered ‘fiber’ section is utilized to model all components

Page 34: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Recorded Earthquake Data from 6-Story Building

Earthquake1994 Northridge 6.7 22 0.35 0.49

1992 Bigbear 6.5 137 0.04 0.111992 Landers 7.3 172 0.05 0.22

1991 Sierra Madre 5.8 30 0.11 0.161987 Whittier 6.1 26 0.22 0.30

Magnitude (Mw)

Epicentral Distance (km)

PGA Base Level (g)

PGA Roof Level (g)

The building performed well in all these earthquakes with no visible signs of damage. Recorded data indicates an essentially elastic response in each case.

-12

0

12

0 10 20 30 40 50 60Time (sec)

Dis

p. (

cm

)

RecordedSimulated

6-Story Bld.Roof

Page 35: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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g. Recorded Earthquake Data from

13-Story Building

Approximately 12% of the connections on the west perimeter of

the North-South frame fractured

during the Northridge

earthquake.

Earthquake1994 Northridge 6.7 32 0.18 0.37

1991 Sierra Madre 5.8 33 0.17 0.18

Magnitude (Mw)

Epicentral Distance (km)

PGA Base Level (g)

PGA Roof Level (g)

-40

0

40

0 10 20 30

Dis

p. (

cm)

6th Floor

-40

0

40

0 5 10 15 20 25 30Time (sec)

Dis

p. (

cm

) 13-Story Bld.Roof

Page 36: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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0

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2

3

4

5

6

0.00 0.02 0.04 0.06

Interstory Drift Ratio

Sto

ry L

evel JMA

Mode-1MMPAAMC

0

1

2

3

4

5

6

0.00 0.01 0.02 0.03

Roof Drift RatioT

arg

et

Dri

ft

0

1

2

3

4

5

6

0.00 0.02 0.04 0.06

Interstory Drift Ratio

Sto

ry L

evel LGPC

MMPAMode-1AMC

0

1

2

3

4

5

6

0.00 0.01 0.02 0.03

Roof Drift Ratio

Ta

rge

t D

rift

0

2

4

6

8

10

12

14

0.00 0.01 0.02 0.03 0.04

Interstory Drift Ratio

Sto

ry L

evel JMA

MMPA

Mode-1AMC

0

2

4

6

8

10

12

14

0.00 0.01 0.01 0.02

Roof Drift Ratio

Ta

rge

t D

rift

0

2

4

6

8

10

12

14

0.00 0.02 0.04 0.06

Interstory Drift Ratio

Sto

ry L

evel

Rinaldi

MMPA

Mode-1AMC

0

2

4

6

8

10

12

14

0.00 0.01 0.02

Roof Drift Ratio

Ta

rge

t D

rift

Page 37: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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0

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3

4

5

6

0.00 0.02 0.04 0.06

Interstory Drift Ratio

Sto

ry L

evel Taft

MMPAMode-1AMC

0

1

2

3

4

5

6

0.00 0.01 0.02 0.03

Roof Drift Ratio

Ta

rge

t D

rift

0

1

2

3

4

5

6

0.00 0.02 0.04 0.06Interstory Drift Ratio

Sto

ry L

evel

Desert H.MMPAMode-1AMC

0

1

2

3

4

5

6

0.00 0.01 0.02 0.03

Roof Drift Ratio

Ta

rge

t D

rift

0

2

4

6

8

10

12

14

0.00 0.01 0.02 0.03 0.04

Interstory Drift Ratio

Sto

ry L

evel

Desert H.

MMPA

Mode-1AMC

0

2

4

6

8

10

12

14

0.000 0.005 0.010 0.015

Roof Drift Ratio

Ta

rge

t D

rift

0

2

4

6

8

10

12

14

0.00 0.01 0.02 0.03

Interstory Drift Ratio

Sto

ry L

evel

Moorpark

MMPA

Mode-1AMC

0

2

4

6

8

10

12

14

0.000 0.005 0.010 0.015

Roof Drift Ratio

Ta

rge

t D

rift

Page 38: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Prediction of Column Plastic Rotations (Local Demands)

0

1

2

3

4

5

6

0.00 0.02 0.04 0.06

Col. Plastic Rot. (rad)

Sto

ry L

ev

el

NTH

AMC

MMPA

Near-Fault, Forward Dir. (JMA)

0

1

2

3

4

5

6

0.00 0.02 0.04 0.06

Col. Plastic Rot. (rad)

Near-Fault, Fling (TCU074)

0

1

2

3

4

5

6

0.00 0.02 0.04 0.06

Col. Plastic Rot. (rad)

Far-Fault (Taft)

Page 39: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Summary & Conclusions

> Developed AMC offers a direct multi-mode technique to estimate seismic demands and integrates concepts incorporated in:

• Capacity spectrum method recommended in 3ATC-40 (1996)

• Direct adaptive method originally proposed by Gupta and Kunnath (2000)

• Modal pushover analysis advocated by Chopra and Goel (2002)

> AMC procedure accounts for higher mode effects by combining the response of individual modal pushover analyses and incorporates the effects of varying dynamic characteristics during the inelastic response via its adaptive feature

Page 40: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Summary (cont.)

> A novel feature of the procedure is that the target displacement is estimated and updated dynamically during the analysis by incorporating energy based modal capacity curves in conjunction with constant-ductility capacity spectra.

> AMC method has shown promise in predicting inelastic displacement demands for a range of regular and irregular buildings.

> Validation studies under 3D models (including torsion) are currently underway.

Page 41: Adaptive Nonlinear Analysis as Applied to Performance based Earthquake Engineering Dr. Erol Kalkan, P.E. United States Geological Survey TUFTS, 2008

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Thank You