Details
| Original language | English |
|---|---|
| Title of host publication | EURODYN 2020 |
| Subtitle of host publication | XI International Conference on Structural Dynamics, Proceedings, Volume II |
| Editors | Manolis Papadrakakis, Michalis Fragiadakis, Costas Papadimitriou |
| Pages | 3558-3566 |
| Number of pages | 9 |
| ISBN (electronic) | 9786188507210 |
| Publication status | Published - 2020 |
| Event | 11th International Conference on Structural Dynamics, EURODYN 2020 - online, Virtual, Athens, Greece Duration: 23 Nov 2020 → 26 Nov 2020 Conference number: 11 https://generalconferencefiles.s3-eu-west-1.amazonaws.com/eurodyn_2020_ebook_procedings_vol2.pdf |
Abstract
In ageing existing bridges, the deterioration of the members cannot be ignored and the model parameters should be carefully estimated in time through observation data from the structures. On seismic-isolated bridges, the post-yield stiffness of rubber bearings is a particularly critical parameter, since it affects the structural behavior against huge earthquakes. Additionally, its characteristic can be captured using available seismic response data. In this study, a seismic-isolated bridge pier is modelled as a two degree of freedom lumped mass system and its uncertain model parameters are estimated based on time-histories of the acceleration response through Bayesian model updating. The Bhattacharyya distance is used as a comprehensive uncertainty quantification (UQ) metric to capture multiple uncertainty sources from both model predictions and observation data. A sequential procedure is proposed to prevent the so-called "dimensional curse " due to very high dimensional time-series data in model updating. In this procedure, the Bhattacharyya distance is calculated for each predefined time segment and their root mean square is adopted as the UQ metric. The results demonstrate that the proposed framework can successfully update model parameters including the post-yield stiffness of the rubber bearing through seismic response data. Furthermore, the calibrated model can represent wholly the probability distribution of the target time-series observation.
Keywords
- Ageing existing bridge, Bayesian model updating, Bhattacharyya distance, Time-series data, Uncertainty quantification
ASJC Scopus subject areas
- Engineering(all)
- Building and Construction
- Engineering(all)
- Architecture
- Engineering(all)
- Civil and Structural Engineering
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EURODYN 2020: XI International Conference on Structural Dynamics, Proceedings, Volume II. ed. / Manolis Papadrakakis; Michalis Fragiadakis; Costas Papadimitriou. First Edition. ed. 2020. p. 3558-3566.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - Bayesian model updating for existing seismi-isolated bridges using observed acceleration response data
AU - Kitahara, Masaru
AU - Broggi, Matteo
AU - Beer, Michael
N1 - Conference code: 11
PY - 2020
Y1 - 2020
N2 - In ageing existing bridges, the deterioration of the members cannot be ignored and the model parameters should be carefully estimated in time through observation data from the structures. On seismic-isolated bridges, the post-yield stiffness of rubber bearings is a particularly critical parameter, since it affects the structural behavior against huge earthquakes. Additionally, its characteristic can be captured using available seismic response data. In this study, a seismic-isolated bridge pier is modelled as a two degree of freedom lumped mass system and its uncertain model parameters are estimated based on time-histories of the acceleration response through Bayesian model updating. The Bhattacharyya distance is used as a comprehensive uncertainty quantification (UQ) metric to capture multiple uncertainty sources from both model predictions and observation data. A sequential procedure is proposed to prevent the so-called "dimensional curse " due to very high dimensional time-series data in model updating. In this procedure, the Bhattacharyya distance is calculated for each predefined time segment and their root mean square is adopted as the UQ metric. The results demonstrate that the proposed framework can successfully update model parameters including the post-yield stiffness of the rubber bearing through seismic response data. Furthermore, the calibrated model can represent wholly the probability distribution of the target time-series observation.
AB - In ageing existing bridges, the deterioration of the members cannot be ignored and the model parameters should be carefully estimated in time through observation data from the structures. On seismic-isolated bridges, the post-yield stiffness of rubber bearings is a particularly critical parameter, since it affects the structural behavior against huge earthquakes. Additionally, its characteristic can be captured using available seismic response data. In this study, a seismic-isolated bridge pier is modelled as a two degree of freedom lumped mass system and its uncertain model parameters are estimated based on time-histories of the acceleration response through Bayesian model updating. The Bhattacharyya distance is used as a comprehensive uncertainty quantification (UQ) metric to capture multiple uncertainty sources from both model predictions and observation data. A sequential procedure is proposed to prevent the so-called "dimensional curse " due to very high dimensional time-series data in model updating. In this procedure, the Bhattacharyya distance is calculated for each predefined time segment and their root mean square is adopted as the UQ metric. The results demonstrate that the proposed framework can successfully update model parameters including the post-yield stiffness of the rubber bearing through seismic response data. Furthermore, the calibrated model can represent wholly the probability distribution of the target time-series observation.
KW - Ageing existing bridge
KW - Bayesian model updating
KW - Bhattacharyya distance
KW - Time-series data
KW - Uncertainty quantification
UR - http://www.scopus.com/inward/record.url?scp=85098722849&partnerID=8YFLogxK
U2 - 10.47964/1120.9291.18937
DO - 10.47964/1120.9291.18937
M3 - Conference contribution
AN - SCOPUS:85098722849
SP - 3558
EP - 3566
BT - EURODYN 2020
A2 - Papadrakakis, Manolis
A2 - Fragiadakis, Michalis
A2 - Papadimitriou, Costas
T2 - 11th International Conference on Structural Dynamics, EURODYN 2020
Y2 - 23 November 2020 through 26 November 2020
ER -