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Transcript of Cheng Chen, Ph.D. Assistant Professor San Francisco State University Interpreting Reliability of...
Cheng Chen, Ph.D.
Assistant Professor San Francisco State University
Interpreting Reliability of Real-Time Hybrid Simulation Results from Actuator Tracking Errors
International Workshop on Hybrid SimulationHarbin Institute of Technology, 2012
2
Presentation Overview
Background
Need for Reliability Analysis
Proposed Probabilistic Approach for Reliability Analysis
Application to Experimental Results
Summary and Conclusion
Future Work
3
EQ Experimental Techniques
Courtesy of NEES@UCSD Shake Table at E-Defense
W12x40
BRB100
BRB100
10’
18’
6’
9’
7’-6
”7
’-6”
7’-6
”
W12x40
8’-11”BRB80BRB80
W12x40
BRB60
BRB30
8’-11”
W8
x67(
C1
)
W8
x67(
C1
)
W12x40
BRB60
BRB30
W12x40
9’-1”
Courtesy of Fahnstock et al. Courtesy of Fahnstock et al. Courtesy of NEES@UCSD
4
Real-Time Hybrid Simulation
d a m p e rs
d a m p e rs
d a m p e rs
d a m p e rs
4 @ 9.15m = 36.6m
4.5
7m
3.9
6m
Analytical substructure
Floor 1 damper
N
RTMDActuator
Dampers
North A-Frame
SouthA-Frame
RollerBearings
Actuator Support
Loading Stub
NN
RTMDActuator
Dampers
North A-Frame
SouthA-Frame
RollerBearings
Actuator Support
Loading Stub
Experimental substructure 2
Floor 2 damper
N
RTMDActuator
Dampers
North A-Frame
SouthA-Frame
RollerBearings
Actuator Support
Loading Stub
NN
RTMDActuator
Dampers
North A-Frame
SouthA-Frame
RollerBearings
Actuator Support
Loading Stub
Experimental substructure 1
5
Presentation Overview
Background
Need for Reliability Analysis
Proposed Probabilistic Approach for Reliability Analysis
Application to Experimental Results
Summary and Conclusion
Future Work
6
Role of Hydraulic Actuators
• Apply desired responses to experimental specimens in a real-time manner;
• Measure the restoring forces of the experimental substructures and feed back to the integration algorithm;
Critical to maintain the boundary conditions between substructures!
Courtesy of Lehigh RTMD
Block Diagram for Real-Time Hybrid Simulation
ExcitationForce
IntegrationAlgorithm
ServoController
HydraulicActuator
Analytical Substructure(MRF: FE Program)
Experimental Substructure(Damper 1: Lab)
Experimental Substructure(Damper 2: Lab)
RampGenerator
7
Actuator Delay and Tracking Error
Maximum tracking error 16.90 mm (35% of command maximum)!
Command Maximum: 50 mm
Frequency Content: 0 ~ 5 Hz
8
Actuator Delay Compensation
•Linear Acceleration Compensation (Horiuchi et al. 2001)
•Feedforward Compensation (Jung et al. 2007)
•Dual Compensation (Chen and Ricles 2009; Lin et al.
2012)
•Minimal Control Synthesis (MCS) (Stoten et al. 2005)
•Adaptive Inverse Control (AIC) (Chen and Ricles 2010)
•Improved Adaptive Inverse Control (IAIC) (Chen and Ricles
2012)
•Other researches other include Wallace et al. [2007];
Ahmadizadeh et al. (2008)
Delay compensation methods can reduce, but can NOT eliminate actuator tracking
error for real-time structural tests!
Test Compensation aesMTE (mm)
RMS (%)
Max TI (mm2)
Max EE (kN-m)
1-1 Inverse compensation 1 16.9 24.1 1.38E4 21.5
1-2 Existing AIC 1 4.9 3.4 1.26E2 13.1
1-3 New AIC 1 2.4 2.1 1.08E2 2.4
9
Questions to be answered?How will the tracking errors affect the accuracy of simulated structure response?
Will this difference between simulated and true responses be acceptable for researches?
How will researchers assess the accuracy of simulated response in replicating the true structural response when the latter is not available?
10
Reliable Experimental Results?
How reliably did the real-time hybrid simulation results replicate the true structural response under earthquakes?
How do we assess the reliability of real-time hybrid simulation results without knowing the true responses?
A successful real-time hybrid simulation requires that the effect of actuator delay not only be compensated throughout the simulation but also be assessed after the
simulation!
11
Tracking Indicator (TI)
Tracking Indicator (Mercan and Ricles 2010)
Test Compen. MTE (mm)
RMS (%)
Max TI (mm2)
1-1 IC 16.9 24.1 1.38E4
1-2 AIC 4.9 3.4 1.26E2
1-3 IAIC 2.4 2.1 1.08E2
Positive TI
12
Needs for Reliability Assessment
TI provides a useful tool to compare performances of different actuator control techniques.
Link between TI and simulation accuracy is missing making it difficult to apply for reliability assessment.
TI is response history dependent and vary for simulations with various ground motion inputs and different intensities.
13
Presentation Overview
Background
Need for Reliability Analysis
Proposed Probabilistic Approach for Reliability Analysis
Application to Experimental Results
Summary and Conclusion
Future Work
14
RTHS of SDOF Structures
r
c
m
F
x
(a) SDOF Structure
r
r
x
c
m
F
(b) Experimental Substructure (c) Numerical Substructure
r
x
ra
e
e
rae
e
tFtrtrtxctxm ea )()()()(
• Exact solution can be easily computed and used for validating the proposed approach
• Similar equations have been analyzed by researchers for the effect of actuator delay on the stability of real-time hybrid simulations
txktr aa )( txktr e
e )( )/( eae kkk
15
Simulated Responses w/ Delay
0 5 10 15 20 25 30 35 40-0.2
-0.1
0
0.1
0.2
0.3(a)
Time (sec)
Dis
pla
ce
me
nt (m
)
= 0 sec = 0.0025 sec = 0.005 sec = 0.0075 sec
0 5 10 15 20 25 30 35 40-0.2
-0.1
0
0.1
0.2(b)
Time (sec)
Err
or
(m)
0 5 10 15 20 25 30 35 40-0.2
-0.1
0
0.1
0.2
0.3(a)
Time (sec)
Dis
pla
ce
me
nt (m
)
= 0 sec = 0.0025 sec = 0.005 sec = 0.0075 sec
0 5 10 15 20 25 30 35 40-0.2
-0.1
0
0.1
0.2(b)
Time (sec)
Err
or
(m)
SDOF Structure: m=503.4 tons; f=0.77 Hz; =2%β=1.0; 1940 El Centro earthquake recorded at Canoga Park station;
16
Factors to be considered
• Structural Nonlinearity
• Different Ground Motion Inputs
• Ground Motion Intensity
• Structural Damping
• Stiffness Ratio between substructures
Accuracy of simulated response is evaluated through comparison with true response using the ratio
between maximum difference and maximum response (MAX); and the RMS of response difference.
17
Structural Nonlinearity (β=1.0)
0 0.002 0.004 0.006 0.008 0.010
50
100
150
200
250(a)
Time Delay (sec)
Ma
x E
rro
r (%
)
xy = infinity
xy = 100 mm
xy = 50 mm
xy = 10 mm
0 0.002 0.004 0.006 0.008 0.010
50
100
150
200
250(b)
Time Delay (sec)
RM
S E
rro
r (%
)
xy = infinity
xy = 100 mm
xy = 50 mm
xy = 10 mm
Linear elastic case
0 0.002 0.004 0.006 0.008 0.010
50
100
150
200
250(a)
Time Delay (sec)
Ma
x E
rro
r (%
)
xy = infinity
xy = 100 mm
xy = 50 mm
xy = 10 mm
0 0.002 0.004 0.006 0.008 0.010
50
100
150
200
250(b)
Time Delay (sec)
RM
S E
rro
r (%
)
xy = infinity
xy = 100 mm
xy = 50 mm
xy = 10 mm
18
Ground Motion Intensity (β=1.0)
0 2 4 6 8
x 10-3
0
20
40
60
80
100(a)
Ma
x E
rro
r (%
)
PGA = 0.1 gPGA = 0.2 gPGA = 0.5 g
0 2 4 6 8
x 10-3
0
20
40
60
80
100
120
140(b)
RM
S E
rro
r (%
)
PGA = 0.1 gPGA = 0.2 gPGA = 0.5 g
0 2 4 6 8
x 10-3
0
0.5
1
1.5(c)
Time Delay (sec)
Ma
x E
rro
r (%
)
PGA = 0.1 gPGA = 0.2 gPGA = 0.5 g
0 2 4 6 8
x 10-3
0
0.5
1
1.5
2(d)
Time Delay (sec)
RM
S E
rro
r (%
)
PGA = 0.1 gPGA = 0.2 gPGA = 0.5 g
(a) and (b) for linear elastic structure; (c) and (d) for nonlinear structure
19
Structural Damping (β=1.0)
0 2 4 6 8
x 10-3
0
20
40
60
80
100(a)
Ma
x E
rro
r (%
)
= 5% = 10% = 20%
0 2 4 6 8
x 10-3
0
20
40
60
80
100
120
140(b)
RM
S E
rro
r (%
)
= 5% = 10% = 20%
0 2 4 6 8
x 10-3
0
0.5
1
1.5
2(c)
Time Delay (sec)
Ma
x E
rro
r (%
)
= 5% = 10% = 20%
0 2 4 6 8
x 10-3
0
0.5
1
1.5
2(d)
Time Delay (sec)
RM
S E
rro
r (%
)
= 5% = 10% = 20%
(a) and (b) for linear elastic structure; (c) and (d) for nonlinear structure
20
Different Ground Motions (β=1.0)
0 2 4 6 8
x 10-3
0
50
100
150(a)
Time Delay (sec)
Ma
x E
rro
r (%
)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
50
100
150
200(b)
Time Delay (sec)
RM
S E
rro
r (%
)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
1
2
3
4(c)
Time Delay (sec)
Ma
x E
rro
r (%
)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
1
2
3
4(d)
Time Delay (sec)
RM
S E
rro
r (%
)
KobeChi ChiMendocino
(a) and (b) for linear elastic structure; (c) and (d) for nonlinear structure
21
Stiffness Ratio of Substructures
0 0.2 0.4 0.6 0.8 10
20
40
60
80
100(a)
Ma
x E
rro
r (%
)
0 0.2 0.4 0.6 0.8 10
20
40
60
80
100
120
140(b)
RM
S E
rro
r (%
)
0 0.2 0.4 0.6 0.8 10
0.5
1
1.5(c)
Ma
x E
rro
r (%
)
0 0.2 0.4 0.6 0.8 10
0.5
1
1.5(d)
RM
S E
rro
r (%
)
= 0.0025 sec = 0.0050 sec = 0.0075 sec
(a) and (b) for linear elastic structure; (c) and (d) for nonlinear structure
β
ββ
β
22
Findings from Numerical Analysis
• An actuator delay that leads to simulated response with acceptable accuracy for linear elastic structures will also result in simulated response with acceptable accuracy for corresponding nonlinear structures;
• Different ground motion inputs and different intensities will lead to different accuracy of simulated responses especially for structures with nonlinear behavior.
23
EQ Response Analysis
Courtesy of Chopra (2001)
ASCE-7-10
24
Ground Motions for Analysis
Earthquake Station Component Magnitude (Mw) Distance (km) PGA (g)
Northridge 24303 LA - Hollywood Stor FF HOL360.AT2 6.7 25.5 0.358Santa Barbara 283 Santa Barbara Courthouse SBA222.AT2 6 14 0.203
El Centro 117 El Centro Array #9 IELC270.AT2 7 8.3 0.215Chi Chi CHY006 CHY006N.AT2 7.6 14.93 0.345Duzce Duzce DZC270.AT2 7.1 8.2 0.535
San Fernando 279 Pacoima Dam PCD254.AT2 6.6 2.8 1.16Kocaeli Yarimca YPT330.AT2 7.4 2.6 0.349Tabas 9101 Tabas TABTR.AT2 7.4 3 0.852: : : : : :
Chi Chi TCU068 TCU068-N.AT2 7.6 1.09 0.462Northridge 24436 Tarzana, Cedar Hill TAR090.AT2 6.7 17.5 1.779El Alamo 117 El Centro Array #9 ELC270.AT2 - 130 0.052Hollister 1028 Hollister City Hall B-HCH271.AT2 - 19.6 0.196Parkfield 1013 Cholame #2 C02065.AT2 6.1 0.1 0.476
Palm Springs 5224 Anza - Red Mountain ARM360.AT2 6 45.6 0.129Oroville 1544 Medical Center C-OMC336.AT2 4.4 11.1 0.043
Imperial Valley 5028 El Centro Array #7 H-E07230.AT2 6.5 0.6 0.463
A total of fifty ground motion from PEER Strong Motion Data Base
25
Delay for Target Accuracy
0 2 4 6 8
x 10-3
0
50
100
150(a)
Time Delay (sec)
Ma
x E
rro
r (%
)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
50
100
150
200(b)
Time Delay (sec)R
MS
Err
or
(%)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
1
2
3
4(c)
Time Delay (sec)
Ma
x E
rro
r (%
)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
1
2
3
4(d)
Time Delay (sec)
RM
S E
rro
r (%
)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
50
100
150(a)
Time Delay (sec)
Ma
x E
rro
r (%
)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
50
100
150
200(b)
Time Delay (sec)
RM
S E
rro
r (%
)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
1
2
3
4(c)
Time Delay (sec)
Ma
x E
rro
r (%
)
KobeChi ChiMendocino
0 2 4 6 8
x 10-3
0
1
2
3
4(d)
Time Delay (sec)
RM
S E
rro
r (%
)
KobeChi ChiMendocino
5%
5%
26
Proposed Probabilistic Approach
Probabilistic Model of Critical Delay for 5% MAX Error of Simulated Response
Probability distribution of delay leading to 5% MAX error
Lognormal distribution
27
Proposed Probabilistic Approach
r
c
m
F
x
(a) SDOF Structure
r
r
x
c
m
F
(b) Experimental Substructure (c) Numerical Substructure
r
x
ra
e
e
rae
e
SDOF structural properties: Mass of 503.4 metric tons; Natural frequency of 0.77 Hz; Inherent damping ζ of 0.02; β=1.0; 1940 El Centro earthquake
recorded at Canoga Park station with PGA of 0.2 g;
P.E.=50%
P.E.=15%
P.E.=5%
Time History of TI based on Delay for Different Probability of Exceedance
28
Presentation Overview
• Background
• Need for Reliability Analysis
• Probabilistic Approach for Reliability Analysis
• Application to Experimental Results
• Summary and Conclusion
• Future Work
29
SDOF Prototype Structure
Canoga Park EQ
d(t)
PassiveDamper
Analytical Substructure
d(t)=
Experimental Substructure
d(t)
damperactuator
+
Analytical Substructure Properties:• structural mass: m=503.4 ton;• natural frequency: fn=0.77 Hz; • viscous damping ratio:
ζ=0.02;Analytical Substructure modeled using Bouc-Wen model [Wen 1980]
Chen, C., Ricles, J.M., Marullo, T. and Mercan, O. (2009). “Real-time hybrid testing using the unconditionally stable explicit CR integration algorithm.” Earthquake Engineering and Structural Dynamics, 38(1), 23-44.
30
Experimental Setup
N
RTMDActuator
Dampers
North A-Frame
SouthA-Frame
RollerBearings
Actuator Support
Loading Stub
NN
RTMDActuator
Dampers
North A-Frame
SouthA-Frame
RollerBearings
Actuator Support
Loading Stub
Test aes Compensation
1 15 Inverse compensation2 15 Adaptive Inverse Compensation3 29 Adaptive Inverse Compensation
31
Reliability Assessment
Test 1: inverse compensationwith αes=15
P.E.=50%
Test 2: AIC with αes=15
P.E.=50%
P.E.=15%
32
Reliability Assessment
Test 3: AIC with αes=30
P.E.=5%
33
Summary and Conclusion
Numerical analysis is conducted to investigate the accuracy of real-time hybrid simulation with actuator delay;
A probabilistic approach using tracking indicator is proposed for reliability assessment of real-time hybrid simulation;
The effectiveness of the proposed method is validated through applying it to experimental results.
34
Future Work
Further develop the probabilistic model for actuator delay corresponding to different accuracy level for SDOF structures;
Extend the proposed approach to real-time hybrid simulations involving multiple servo-hydraulic actuators.
35
Acknowledgement
This study is supported by the Presidential Award of San Francisco State University and the CSU Wang Family Faculty Award.
The presented experimental results were conducted at ATLSS Center of Lehigh University using NEES RTMD equipment;
The MR damper used for the predefined displacement tests was provided by Dr. Richard Christenson at University of Connecticut.
36
Thanks for your attention!
Questions?