Bayesian characterization of buildings using seismic interferometry on ambient vibrations
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- 作者：Hao Suna ; haosun@mit.edu" class="auth_mail" title="E-mail the corresponding author ; Auré ; lien Mordretb ; Germá ; n A. Prietob ; M. Nafi Toksö ; zb ; Oral Bü ; yü ; kö ; ztü ; rka ; obuyuk@mit.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Probabilistic model updating ; Bayesian inference ; Seismic interferometry ; Building impulse response ; Ambient vibration ; Markov chain Monte Carlo
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：15 February 2017
- 年：2017
- 卷：85
- 期：Complete
- 页码：468-486
- 全文大小：4643 K
文摘
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A novel computational strategy is proposed for continuous monitoring of buildings.
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The travel waves are extracted from ambient noises using seismic interferometry.
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The wave velocity, frequencies, mode shapes and damping ratios can be directly estimated from the extracted waves.
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The building model is characterized using a hierarchical Bayesian inference framework.
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The parameter uncertainties are quantified using a Markov chain Monte Carlo technique.