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...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
SPIE
2017
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| Online Access: | http://hdl.handle.net/1721.1/110235 https://orcid.org/0000-0002-5145-3259 https://orcid.org/0000-0002-7712-7478 |