Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 |
| Editors | Michael Beer, Enrico Zio, Kok-Kwang Phoon, Bilal M. Ayyub |
| Pages | 309-312 |
| Number of pages | 4 |
| Publication status | Published - 2022 |
| Event | 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Germany Duration: 4 Sept 2022 → 7 Sept 2022 |
Abstract
Considering the increasing number of structures constructed before decades, it is important to assess the residual seismic performance of existing structures considering changes in the structural parameters due to ageing for ensuring the resilience and robustness of road networks. In this study, the model parameter updating problem of a seismic-isolated bridge pier with the deterioration in both the rubber bearings and reinforced concrete pier is investigated using the simulated seismic response data. We employ a well-known Bayesian inference algorithm, called transitional Markov chain Monte Carlo, with a modification reducing the correlation between samples in Markov chains for accurate and efficient estimate of the updated model parameter values. This application clarifies the effect of the noise level of the observed data as well as the periodic characteristic and intensity of the input ground motions to the accuracy of the updating results.
Keywords
- ageing deterioration, Bayesian model updating, measurement noise, seismic motion intensity, seismic-isolated bridge
ASJC Scopus subject areas
- Decision Sciences(all)
- Management Science and Operations Research
- Engineering(all)
- Safety, Risk, Reliability and Quality
Cite this
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Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022. ed. / Michael Beer; Enrico Zio; Kok-Kwang Phoon; Bilal M. Ayyub. 2022. p. 309-312.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Model Parameter Updating of the Seismic-Isolated Bridge Pier Using Modified TMCMC
AU - Kitahara, T.
AU - Kitahara, M.
AU - Beer, M.
PY - 2022
Y1 - 2022
N2 - Considering the increasing number of structures constructed before decades, it is important to assess the residual seismic performance of existing structures considering changes in the structural parameters due to ageing for ensuring the resilience and robustness of road networks. In this study, the model parameter updating problem of a seismic-isolated bridge pier with the deterioration in both the rubber bearings and reinforced concrete pier is investigated using the simulated seismic response data. We employ a well-known Bayesian inference algorithm, called transitional Markov chain Monte Carlo, with a modification reducing the correlation between samples in Markov chains for accurate and efficient estimate of the updated model parameter values. This application clarifies the effect of the noise level of the observed data as well as the periodic characteristic and intensity of the input ground motions to the accuracy of the updating results.
AB - Considering the increasing number of structures constructed before decades, it is important to assess the residual seismic performance of existing structures considering changes in the structural parameters due to ageing for ensuring the resilience and robustness of road networks. In this study, the model parameter updating problem of a seismic-isolated bridge pier with the deterioration in both the rubber bearings and reinforced concrete pier is investigated using the simulated seismic response data. We employ a well-known Bayesian inference algorithm, called transitional Markov chain Monte Carlo, with a modification reducing the correlation between samples in Markov chains for accurate and efficient estimate of the updated model parameter values. This application clarifies the effect of the noise level of the observed data as well as the periodic characteristic and intensity of the input ground motions to the accuracy of the updating results.
KW - ageing deterioration
KW - Bayesian model updating
KW - measurement noise
KW - seismic motion intensity
KW - seismic-isolated bridge
UR - http://www.scopus.com/inward/record.url?scp=85202028927&partnerID=8YFLogxK
U2 - 10.3850/978-981-18-5184-1_MS-11-085-cd
DO - 10.3850/978-981-18-5184-1_MS-11-085-cd
M3 - Conference contribution
AN - SCOPUS:85202028927
SN - 9789811851841
SP - 309
EP - 312
BT - Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
A2 - Beer, Michael
A2 - Zio, Enrico
A2 - Phoon, Kok-Kwang
A2 - Ayyub, Bilal M.
T2 - 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022
Y2 - 4 September 2022 through 7 September 2022
ER -