A new gibbs-sampling based algorithm for Bayesian Model updating of linear dynamic systems with incomplete complex modal data
Model updating using measured system dynamic response has a wide range of applications in structural health monitoring, control and response prediction. In this paper, we are interested in model updating of a linear structural dynamic system with non-classical damping based on incomplete modal...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/105851 http://hdl.handle.net/10220/17969 http://www.iaeng.org/publication/IMECS2013/ |
| _version_ | 1826129869482754048 |
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| author | Hung, Cheung Sai Bansal, Sahil |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Hung, Cheung Sai Bansal, Sahil |
| author_sort | Hung, Cheung Sai |
| collection | NTU |
| description | Model updating using measured system dynamic
response has a wide range of applications in structural health
monitoring, control and response prediction. In this paper, we
are interested in model updating of a linear structural dynamic
system with non-classical damping based on incomplete modal
data including modal frequencies, damping ratios, and partial
complex mode shapes of some of the dominant modes. To
quantify the uncertainties and plausibility of the model
parameters, a Bayesian approach is adopted. A new Gibbssampling
based algorithm is proposed that allows for an
efficient update of the probability distribution of the model
parameters. The effectiveness and efficiency of the proposed
method are illustrated by a numerical example involving a
linear structural dynamic system with complex modes. |
| first_indexed | 2024-10-01T07:47:35Z |
| format | Conference Paper |
| id | ntu-10356/105851 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:47:35Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1058512019-12-06T21:59:14Z A new gibbs-sampling based algorithm for Bayesian Model updating of linear dynamic systems with incomplete complex modal data Hung, Cheung Sai Bansal, Sahil School of Civil and Environmental Engineering International MultiConference of Engineers and Computer Scientists (2013 : Hong Kong) DRNTU::Engineering::Civil engineering Model updating using measured system dynamic response has a wide range of applications in structural health monitoring, control and response prediction. In this paper, we are interested in model updating of a linear structural dynamic system with non-classical damping based on incomplete modal data including modal frequencies, damping ratios, and partial complex mode shapes of some of the dominant modes. To quantify the uncertainties and plausibility of the model parameters, a Bayesian approach is adopted. A new Gibbssampling based algorithm is proposed that allows for an efficient update of the probability distribution of the model parameters. The effectiveness and efficiency of the proposed method are illustrated by a numerical example involving a linear structural dynamic system with complex modes. 2013-12-02T07:25:54Z 2019-12-06T21:59:14Z 2013-12-02T07:25:54Z 2019-12-06T21:59:14Z 2013 2013 Conference Paper Hung, C. S., & Bansal, S. (2013). A new gibbs-sampling based algorithm for Bayesian Model updating of linear dynamic systems with incomplete complex modal data. International MultiConference of Engineers and Computer Scientists 2013, 2. https://hdl.handle.net/10356/105851 http://hdl.handle.net/10220/17969 http://www.iaeng.org/publication/IMECS2013/ en |
| spellingShingle | DRNTU::Engineering::Civil engineering Hung, Cheung Sai Bansal, Sahil A new gibbs-sampling based algorithm for Bayesian Model updating of linear dynamic systems with incomplete complex modal data |
| title | A new gibbs-sampling based algorithm for Bayesian Model updating of linear dynamic systems with incomplete complex modal data |
| title_full | A new gibbs-sampling based algorithm for Bayesian Model updating of linear dynamic systems with incomplete complex modal data |
| title_fullStr | A new gibbs-sampling based algorithm for Bayesian Model updating of linear dynamic systems with incomplete complex modal data |
| title_full_unstemmed | A new gibbs-sampling based algorithm for Bayesian Model updating of linear dynamic systems with incomplete complex modal data |
| title_short | A new gibbs-sampling based algorithm for Bayesian Model updating of linear dynamic systems with incomplete complex modal data |
| title_sort | new gibbs sampling based algorithm for bayesian model updating of linear dynamic systems with incomplete complex modal data |
| topic | DRNTU::Engineering::Civil engineering |
| url | https://hdl.handle.net/10356/105851 http://hdl.handle.net/10220/17969 http://www.iaeng.org/publication/IMECS2013/ |
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