Bayesian model updating using incomplete modal data without mode matching
This study investigates a new probabilistic strategy for model updating using incomplete modal data. A hierarchical Bayesian inference is employed to model the updating problem. A Markov chain Monte Carlo technique with adaptive random-work steps is used to draw parameter samples for uncertainty qua...
| मुख्य लेखकों: | , |
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| अन्य लेखक: | |
| स्वरूप: | लेख |
| भाषा: | en_US |
| प्रकाशित: |
SPIE
2017
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| ऑनलाइन पहुंच: | http://hdl.handle.net/1721.1/110235 https://orcid.org/0000-0002-5145-3259 https://orcid.org/0000-0002-7712-7478 |