Cheng Chen Ph.D., Assistant Professor School of Engineering San Francisco State University Probabilistic Reliability Analysis of Real-Time Hybrid Simulation.

Slides:



Advertisements
Similar presentations
Model-based Real-Time Hybrid Simulation for Large-Scale Experimental Evaluation Brian M. Phillips University of Illinois B. F. Spencer, Jr. University.
Advertisements

Structural Dynamics Laboratory Department of Engineering Science, University of Oxford First European Conference on Earthquake Engineering and Seismology,
Hybrid Simulation with On-line Updating of Numerical Model Based on Measured Experimental Behavior M. Javad Hashemi, Armin Masroor, and Gilberto Mosqueda.
An Introduction to Hybrid Simulation – Displacement-Controlled Methods
Seismic Performance Evaluation of Energy Efficient Structural Insulated Panels (SIPs) Using Hybrid Simulation and Cyclic Testing SELIM GÜNAY, POSTDOCTORAL.
Y.P. Wang 1, W.H. Liao 2 and C.L. Lee 2 1 Professor of Civil Engineering 2 Research Assistant Professor of NHMRC National Chiao-Tung University Y.P. Wang.
Optimal placement of MR dampers
Technical Session 10 (Wood Structures) 2012 Quake Summit Boston, MA July 12, 2012 Jingjing Tian, Ph.D. Student Michael D. Symans, Assoc. Professor Dept.
ADVANCED DYNAMIC TESTING TECHNIQUES IN STRUCTURAL ENGINEERING by Andrei M Reinhorn Xiaoyun Shao CIE 616 FALL 2004.
Experimental Assessment of Coastal Infrastructure Vulnerability Brian M. Phillips Assistant Professor University of Maryland Mpact Week: Disaster Resilience.
Hybrid Simulation with On-line Updating of Numerical Model based on Measured Experimental Behavior M.J. Hashemi, Armin Masroor, and Gilberto Mosqueda University.
사장교의 지진 응답 제어를 위한 납고무 받침의 설계 기준 제안
Konstantinos Agrafiotis
Nazgol Haghighat Supervisor: Prof. Dr. Ir. Daniel J. Rixen
Ground Motion Intensity Measures for Performance-Based Earthquake Engineering Hemangi Pandit Joel Conte Jon Stewart John Wallace.
A Genetic Algorithm Solution for the Problem of Selection and Scaling of Ground Motion Records Arzhang Alimoradi and Farzad Naeim John A. Martin & Associates.
Fractional Order LQR for Optimal Control of Civil Structures Abdollah Shafieezadeh*, Keri Ryan*, YangQuan Chen+ *Civil and Environmental Engineering Dept.
Colorado State University
A Comparison of Numerical Methods and Analytical Methods in Determination of Tunnel Walls Displacement Behdeen Oraee-Mirzamani Imperial College London,
( iISL ) Intelligent Infrastructure Systems Laboratory Intelligent Infrastructure Systems Laboratory ( iISL ) Purdue University, West Lafayette, IN
Youssef Hashash In collaboration with Duhee Park
Quake Summit 2012 July 9-12, 2012, Boston
Comparative Study on Performances of Various Semiactive Control Algorithms for Stay Cables 2004 년도 강구조공학회 학술발표대회 2004 년 6 월 5 일 장지은, 한국과학기술원 건설 및 환경공학과.
CABLE-STAYED BRIDGE SEISMIC ANALYSIS USING ARTIFICIAL ACCELEROGRAMS
Structural Dynamics & Vibration Control Lab 1 December Department of Civil & Environmental Engineering K orea A dvanced I nstitute of S cience.
정형조, 세종대학교 토목환경공학과 조교수 최강민, 한국과학기술원 건설 및 환경공학과 박사과정 지한록, 한국과학기술원 건설 및 환경공학과 석사과정 고만기, 공주대학교 토목환경공학과 교수 이인원, 한국과학기술원 건설 및 환경공학과 교수 2005 년 한국강구조학회 학술발표회.
조상원 * : 박사과정, 한국과학기술원 건설환경공학과 조상원 * : 박사과정, 한국과학기술원 건설환경공학과 정형조 : 교수, 세종대학교 토목환경공학과 정형조 : 교수, 세종대학교 토목환경공학과 박선규 : 교수, 성균관대학교 토목공학과 박선규 : 교수, 성균관대학교 토목공학과.
Department of Tool and Materials Engineering Investigation of hot deformation characteristics of AISI 4340 steel using processing map.
Bentley RM Bridge Seismic Design and Analysis
Wavelet Analysis and Its Applications for Structural Health Monitoring and Reliability Analysis Zhikun Hou Worcester Polytechnic Institute and Mohammad.
Investigation of Uncertainties Associated with Actuation Modeling Error and Sensor Noise on Real Time Hybrid Simulation Performance Amin Maghareh, Shirley.
Purdue University, West Lafayette, IN Phone: (765) Fax: (765) Investigation of the Effect of Transfer.
Sang-Won Cho* : Ph.D. Student, KAIST Sang-Won Cho* : Ph.D. Student, KAIST Dong-Hyawn Kim: Senior Researcher, KORDI Dong-Hyawn Kim: Senior Researcher, KORDI.
1 지진하중을 받는 구조물의 MR 댐퍼의 동특성을 고려한 반능동 신경망제어 Heon-Jae Lee 1), Hyung-Jo Jung 2), Ju-Won Oh 3), In-Won Lee 4) 1) Graduate Student, Dept. of Civil and Environmental.
1 Challenge the future High accuracy machines on factory floors Anthonie Boogaard.
1 Real-Time Hybrid Simulations P. Benson Shing University of California, San Diego.
Cheng Chen, Ph.D. Assistant Professor San Francisco State University Interpreting Reliability of Real- Time Hybrid Simulation Results from Actuator Tracking.
Tsinghua University·Beijing Real-time dynamic hybrid testing coupled finite element and shaking table Jin-Ting Wang, Men-Xia Zhou & Feng Jin.
Structural Dynamics & Vibration Control Lab. 1 Kang-Min Choi, Ph.D. Candidate, KAIST, Korea Jung-Hyun Hong, Graduate Student, KAIST, Korea Ji-Seong Jo,
July 21, 2005AESE Fast Hybrid Simulation with Geographically Distributed Substructures Gilberto Mosqueda Boza Stojadinovic Jason P. Hanley (Presenter)
* Dong-Hyawn Kim: Graduate Student, KAIST Ju-Won Oh: Professor, Hannam University Ju-Won Oh: Professor, Hannam University In-Won Lee: Professor, KAIST.
Part II: Model Class Selection Given: Dynamic data from system and set of candidate model classes where each model class defines a set of possible predictive.
Hyung-Jo Jung Sejong University, Korea Hyung-Jo Jung Sejong University, Korea Kang-Min Choi Korea Advanced Inst. of Science and Tech. Kang-Min Choi Korea.
Multi-Site Soil-Structure-Foundation Interaction Test (MISST) PI: Bill Spencer, Illinois Co-PIs: Amr Elnashai, Dan Kuchma, Illinois Jim Ricles, Richard.
Robust Hybrid Control of a Seismically Excited Cable-Stayed Bridge JSSI 10th Anniversary Symposium on Performance of Response Controlled Buildings Kyu-Sik.
Structural Dynamics & Vibration Control Lab., KAIST 1 Structural Vibration Control Using Semiactive Tuned Mass Damper Han-Rok Ji, Graduate Student, KAIST,
Structural Dynamics & Vibration Control Lab 1 Smart Passive System based on MR Damper for Benchmark Structural Control Problem for a Seismically Excited.
CONTENTS Introduction Semi-Active Control Proposed Control Algorithm
Semi-Active Tuned Mass Damper Systems K.J. Mulligan, M. Miguelgorry, V. Novello, J.G. Chase, G. Rodgers, & B. Horn, J.B. Mander, A. Carr & B.L. Deam.
Structural Dynamics & Vibration Control Lab., KAIST, Korea 1 A Comparative Study on Aseismic Performances of Base Isolation Systems for Multi-span Continuous.
1 Artificial Neural Networks for Structural Vibration Control Ju-Tae Kim: Graduate Student, KAIST, Korea Ju-Won Oh: Professor, Hannam University, Korea.
* 김동현 : KAIST 토목공학과, 박사후연구원 오주원 : 한남대학교 토목환경공학과, 교수 오주원 : 한남대학교 토목환경공학과, 교수 이규원 : 전북대학교 토목환경공학과, 교수 이규원 : 전북대학교 토목환경공학과, 교수 이인원 : KAIST 토목공학과, 교수 이인원 :
Probabilistic seismic hazard assessment for the pseudo-negative stiffness control of a steel base-isolated building: A comparative study with bilinear.
Melak Zebenay > EPOS- A Robotics-Based Hardware in-the-Loop Simulator for Simulating Satellite RvD Operations >Aug 30, 2010 Slide 1 Control Strategy of.
Kyu-Sik Park Kyu-Sik Park, Graduate Student, KAIST, Korea Hyung-Jo Jung Hyung-Jo Jung, Research Assistant Professor, KAIST, Korea In-Won Lee In-Won Lee,
1 지진시 구조물의 지능제어 기법 Intelligent Control of Structures under Earthquakes 김동현 : 한국과학기술원 토목공학과, 박사과정 이규원 : 전북대학교 토목공학과, 교수 이종헌 : 경일대학교 토목공학과, 교수 이인원 : 한국과학기술원.
Kang-Min Choi, Kang-Min Choi, Graduate Student, KAIST, Korea Hyung-Jo Jung Hyung-Jo Jung, Professor, Sejong National University, Korea In-Won Lee In-Won.
Sang-Won Cho* : Ph.D. Candidate, KAIST Sang-Won Cho* : Ph.D. Candidate, KAIST Byoung-Wan : Ph.D. Candidate, KAIST Byoung-Wan : Ph.D. Candidate, KAIST Hyung-Jo.
HYBRID SYSTEM CONTROLLED BY A  -SYNTHESIS METHOD International Symposium on Earthquake Engineering Commemorating 10 th Anniversary of the 1995 Kobe Earthquake.
QUAKE SUMMIT 2012, Boston, July 12, 2012
Dynamic Analysis of Structures by
년도 한국지진공학회 춘계학술발표회 Hybrid Control Strategy for Seismic Protection of Benchmark Cable-Stayed Bridges 박규식, 한국과학기술원 토목공학과 박사과정 정형조, 한국과학기술원.
BY Eng.\ Ayman Abdo Mohamed Hussein
Eduardo Ismael Hernández UPAEP University, MEXICO
VIBRATION CONTROL OF STRUCTURE USING CMAC
Modal Control for Seismically Excited Structures using MR Damper
KAIST-Kyoto Univ. Joint Seminar
Implementation of Modal Control for
a Bang-Bang Type Controller
Evaluating Parameter Estimation of Stability and Accuracy of Structural Property-Dependent Integration Algorithms Cañada College Undergraduate Interns:
Presentation transcript:

Cheng Chen Ph.D., Assistant Professor School of Engineering San Francisco State University Probabilistic Reliability Analysis of Real-Time Hybrid Simulation Results for Seismic Hazard Mitigation Quake Summit, Boston, MA, 2012

2 Presentation Overview  Background  Need for Reliability Analysis  Proposed Probabilistic Approach for Reliability Analysis  Application to Experimental Results  Summary and Conclusion

3 Real-Time Hybrid Simulation Analytical substructure Floor 1 damper N RTMD Actuator Dampers North A-Frame South A-Frame Roller Bearings Actuator Support Loading Stub NN RTMD Actuator Dampers North A-Frame South A-Frame Roller Bearings Actuator Support Loading Stub Experimental substructure 2 Floor 2 damper N RTMD Actuator Dampers North A-Frame South A-Frame Roller Bearings Actuator Support Loading Stub NN RTMD Actuator Dampers North A-Frame South A-Frame Roller Bearings Actuator Support Loading Stub Experimental substructure 1

4 Servo-Hydraulic Actuators Critical to maintain the boundary conditions between substructures! Maximum tracking error mm (35% of command maximum)! Command Maximum: 50 mm Frequency Content: 0 ~ 5 Hz TestCompensation  es MTE (mm) 1-1 Inverse compensation Existing AIC New AIC12.4 Delay compensation methods can reduce, but can NOT eliminate actuator tracking error for real-time structural tests!

5 Reliable Experimental Results? How will the tracking errors affect the accuracy of simulated structure response? How will researchers assess the accuracy of simulated response when the true structural response is not available? How do we assess the reliability of real-time hybrid simulation results without knowing the true responses?

6 RTHS of SDOF Structures 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

7 Simulated Responses w/ Delay SDOF Structure: m=503.4 tons; f=0.77 Hz;  =2% β=1.0; 1940 El Centro earthquake recorded at Canoga Park station;

8 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.

9 Structural Nonlinearity (β=1.0) Linear elastic case

10 Ground Motion Intensity (β=1.0) (a) and (b) for linear elastic structure; (c) and (d) for nonlinear structure

11 Structural Damping (β=1.0) (a) and (b) for linear elastic structure; (c) and (d) for nonlinear structure

12 Different Ground Motions (β=1.0) (a) and (b) for linear elastic structure; (c) and (d) for nonlinear structure

13 Stiffness Ratio of Substructures (a) and (b) for linear elastic structure; (c) and (d) for nonlinear structure β β β β

14 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.

15 EQ Response Analysis Courtesy of Chopra (2001) ASCE-7-10

16 Ground Motions for Analysis EarthquakeStationComponentMagnitude (M w )Distance (km)PGA (g) Northridge24303 LA - Hollywood Stor FFHOL360.AT Santa Barbara283 Santa Barbara CourthouseSBA222.AT El Centro117 El Centro Array #9IELC270.AT Chi CHY006CHY006N.AT Duzce DZC270.AT San Fernando279 Pacoima DamPCD254.AT KocaeliYarimcaYPT330.AT Tabas9101 TabasTABTR.AT :::::: Chi TCU068TCU068-N.AT Northridge24436 Tarzana, Cedar HillTAR090.AT El Alamo117 El Centro Array #9ELC270.AT Hollister1028 Hollister City HallB-HCH271.AT Parkfield1013 Cholame #2C02065.AT Palm Springs5224 Anza - Red MountainARM360.AT Oroville1544 Medical CenterC-OMC336.AT Imperial Valley5028 El Centro Array #7H-E07230.AT A total of fifty ground motion from PEER Strong Motion Data Base

17 Delay for Target Accuracy 5%

18 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

19 Tracking Indicator (TI) Mercan and Ricles 2010  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.

20 Application of Proposed Approach Perform real-time hybrid simulation compare

21 SDOF Prototype Structure Canoga Park EQ d(t)PassiveDamper Analytical Substructure d(t) = Experimental Substructure d(t) damper actuator + Analytical Substructure Properties: structural mass: m=503.4 ton; natural frequency: f n =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),

22 Experimental Setup Test  es Compensation 115Inverse compensation 215Adaptive Inverse Compensation 329Adaptive Inverse Compensation

23 Reliability Assessment Test 1: inverse compensation with α es =15 P.E.=50% Test 2: AIC with α es =15 P.E.=50% P.E.=15%

24 Reliability Assessment Test 3: AIC with α es =30 P.E.=5%

25 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 application to experimental results.

26 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.

27 Thanks for your attention! Questions?