Advanced Markov Chain Monte Carlo approach for finite element calibration under uncertainty

Computer-Aided Civil and Infrastructure Engineering

Volumn 28, Issue 7, 2013, Pages 522-530

  Zhang, Jian ^a   Wan, Chunfeng ^a   Sato, Tadanobu ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE METROPOLIS; BAYESIAN FRAMEWORKS; ENGINEERING PRACTICES; FINITE-ELEMENT MODEL UPDATING; MARKOV CHAIN MONTE-CARLO; SEMIRIGID CONNECTIONS; STATISTICAL PARAMETERS; UNCERTAINTY PARAMETERS;

ALGORITHMS; UNCERTAINTY ANALYSIS;

FINITE ELEMENT METHOD;

ALGORITHM; BAYESIAN ANALYSIS; BOUNDARY CONDITION; ELASTIC MODULUS; FINITE ELEMENT METHOD; MARKOV CHAIN; MONTE CARLO ANALYSIS; NUMERICAL MODEL; STIFFNESS; UNCERTAINTY ANALYSIS;

EID: 84880152821     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2012.00802.x     Document Type: Article

References (31)

1. Adeli, H. & Jiang, X. (2006), Dynamic fuzzy wavelet neural network model for structural system identification, Journal of Structural Engineering, ASCE, 132(1), 102-11.
2. Adeli, H. & Jiang, X. (2009), Intelligent Infrastructure Neural Networks, Wavelets, and Chaos Theory for Intelligent Transportation Systems and Smart Structures, CRC Press, Taylor & Francis, Boca Raton, FL.
3. Adewuyi, A. P. & Wu, Z. (2011), Vibration-based damage localization in flexural structures using normalized modal macrostrain techniques from limited measurements, Computer-Aided Civil and Infrastructure Engineering, 26(3), 154-72.
4. Andrieu, C., Djurić, P. M. & Doucet, A. (2001), Model selection by MCMC computation, Signal Processing, 81(1), 19-37.
5. ASCE. (2012), Structural identification of constructed facilities: approaches, methods and technologies for 21 effective practice of St-Id, a state-of-the-art report. ASCE SEI Committee on Structural Identification of 22 Constructed Systems, In Press.
6. Beck, J. L. & Yuen, K. V. (2004), Model selection using response measurements: Bayesian probabilistic approach, Journal of Engineering Mechanics, 130, 192-203.
7. Buonopane, S. G. (2008), Strength and reliability of steel frames with random properties, Journal of Structural Engineering, 134(2), 337-44.
8. Carden, E. P. & Brownjohn, J. M. W. (2008), Fuzzy clustering of stability diagrams for vibration-based structural health monitoring, Computer-Aided Civil and Infrastructure Engineering, 23(5), 360-72.
9. Catbas, F. N., Brown, D. L. & Aktan, A. E. (2004), Parameter estimation for multiple-input multiple-output modal analysis of large structures, ASCE Journal of Engineering Mechanics, 130(8), 921-30.
10. Chen, W. F. & Lui, E. M. (2003), Handbook of Structural Engineering, 2nd edn. CRC Press, Boca Raton, FL.
11. Cheung, S. H. & Beck, J. L. (2009), Bayesian model updating using hybrid Monte Carlo simulation with application to structural dynamic models with many uncertain parameters, Journal of Engineering Mechanics, 135(4), 244-55.
12. Ching, J., Beck, J. L., Porter, K. A. & Shaikhutdinov, R. (2006), Bayesian state estimation method for nonlinear systems and its application to recorded seismic response, Journal of Engineering Mechanics, 132(4), 396-410.
13. Gangone, M. V., Whelan, M. J. & Janoyan, K. D. (2011), Wireless monitoring of a multi-span bridge superstructure for diagnostic load testing and system identification, Computer-Aided Civil and Infrastructure Engineering, 26(7), 560-79.
14. Haario, H., Laine, M., Mira, A. & Saksman, E. (2006), DRAM: efficient adaptive MCMC, Statistics Computation, 16, 339-54.
15. Hazra, B., Sadhu, A., Roffel, A. J. & Narasimhan, S. (2012), Hybrid time-frequency blind source separation - towards ambient system identification of structures, Computer-Aided Civil and Infrastructure Engineering, 27(5), 314-32.
16. Jafarkhani, R. & Masri, S. F. (2011), Finite element model updating using evolutionary strategy for damage detection, Computer-Aided Civil and Infrastructure Engineering, 26(3), 207-24.
17. Jiang, X., Mahadevan, S. & Adeli, H. 2007, Bayesian wavelet packet denoising for structural system identification, Structural Control and Health Monitoring, 14(2), 333-56.
18. Lima, B. S. L. P. & Ebecken, N. F. F. (2000), A comparison of models for uncertainty analysis by the finite element method, Finite Elements in Analysis and Design, 34(2), 211-32.
19. Marano, G. C., Quaranta, G. & Monti, G. (2011), Modified genetic algorithm for the dynamic identification of structural systems using incomplete measurements, Computer-Aided Civil and Infrastructure Engineering, 26(2), 92-110.
20. Moaveni, B., Conte, J. P. & Hemez, F. M. (2009), Uncertainty and sensitivity analysis of damage identification results obtained using finite element model updating, Computer-Aided Civil and Infrastructure Engineering, 24(5), 320-34.
21. Moon, F. L. & Aktan, A. E. (2006), Impacts of epistemic (bias) uncertainty on structural identification of constructed (civil) systems, The Shock and Vibration Digest, 38(5), 399-420.
22. Nishikawa, T., Fujino, Y., Yoshida, J. & Sugiyama, T. (2012), Concrete crack detection by multiple sequential image filtering, Computer-Aided Civil and Infrastructure Engineering, 27(1), 29-47.
23. Osornio-Rios, R. A., Amezquita-Sanchez, J. P., Romero-Troncoso, R. J. & Garcia-Perez, A. (2012), MUSIC-neural network analysis for locating structural damage in truss-type structures by means of vibrations, Computer-Aided Civil and Infrastructure Engineering, 27(9), 687-98.
24. Qiao, L., Esmaeily, A. & Melhem, H. G. (2012), Signal pattern-recognition for damage diagnosis in structures, Computer-Aided Civil and Infrastructure Engineering, 27(9), 699-710.
25. Steenackers, G. & Guillaume, P. (2006), Finite element model updating taking into account the uncertainty on the modal parameters estimates, Journal of Sound and Vibration, 296(4-5), 919-34.
26. Strand7 Pty Ltd. (2010), Using Strand 7 - Introduction to the Strand7 Finite Element Analysis System, 3rd edn., Australia.
27. Talebinejad, I., Fischer, C. & Ansari, F. (2011), Numerical evaluation of vibration based methods for damage assessment of cable stayed bridges, Computer-Aided Civil and Infrastructure Engineering, 26(3), 239-51.
28. Xia, Y., Ni, Y. Q., Zhang, P., Liao, W. Y. & Ko, J. M. (2011), Stress development of a super-tall structure during construction: numerical analysis and field monitoring verification, Computer-Aided Civil and Infrastructure Engineering, 26(7), 542-59.
29. Yoshida, I. & Sato, T. (2005), Effective estimation method of low failure probability by using Markov Chain Monte Carlo, JSCE Journal of Civil Engineering, 794, 43-53.
30. Yu, G., Tzeng, G. Y., Chaturvedi, S., Adeli, H. & Zhang, S. Q. (1995), A finite element approach to global-local modeling in composite laminate analysis, Computers and Structures, 57(6), 1035-44.
31. Zhang, J., Prader, J., Grimmelsman, K. A., Moon, F. L., Aktan, A. E. & Shama, A. (2012), Experimental vibration analysis for structural identification of a long span suspension bridge, ASCE Journal of Engineering Mechanics, DOI: 10.1061/(ASCE)EM.1943-7889.0000416.