2020
DOI: 10.1016/j.ymssp.2019.106524
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A Bayesian model updating with incomplete complex modal data

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Cited by 25 publications
(8 citation statements)
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“…Besides, Behmanesh and Moaveni 39 and Lam et al 40 applied advanced Markov chain Monte Carlo (MCMC) techniques for probabilistic damage detection in contribution to structural health monitoring (SHM). Also, direct utilization of complex modal data for model updating of damped structure in Bayesian framework has been performed by few researchers like Cheung and Bansal 41 and Das and Debnath 42 . Few other useful works may be worth mentioning here, for example, model updating using multi‐resolution Bayesian non‐parametric general regression by Yuen and Ortiz, 43 sensitivity clustering based Bayesian updating by Jang and Smith, 44 Bayesian model updating by utilizing modal data from multiple setups by Zhang et al, 45 and so forth.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, Behmanesh and Moaveni 39 and Lam et al 40 applied advanced Markov chain Monte Carlo (MCMC) techniques for probabilistic damage detection in contribution to structural health monitoring (SHM). Also, direct utilization of complex modal data for model updating of damped structure in Bayesian framework has been performed by few researchers like Cheung and Bansal 41 and Das and Debnath 42 . Few other useful works may be worth mentioning here, for example, model updating using multi‐resolution Bayesian non‐parametric general regression by Yuen and Ortiz, 43 sensitivity clustering based Bayesian updating by Jang and Smith, 44 Bayesian model updating by utilizing modal data from multiple setups by Zhang et al, 45 and so forth.…”
Section: Introductionmentioning
confidence: 99%
“…Finite element (FE) method nowadays is pervasive in the analysis of mechanical structures [1][2][3][4]. A critical step in FE analysis is model updating in which certain modeling parameters are identified/updated to minimize the discrepancy between FE-based response prediction and the actual measurement.…”
Section: Introductionmentioning
confidence: 99%
“…A critical step in FE analysis is model updating in which certain modeling parameters are identified/updated to minimize the discrepancy between FE-based response prediction and the actual measurement. Indeed, in recent years, there have been growing interests in FE model updating using vibration response data to facilitate a series of inter-related applications, such as damage identification, design optimization, and structural control, etc [2][3][4]. In dynamic systems, FE model updating generally is conducted by employing the responses in either time or frequency domain [5][6][7].…”
Section: Introductionmentioning
confidence: 99%
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