Abstract
We propose a probabilistic framework to estimate the condition state of a bridge stock in a post-earthquake situation based on the knowledge of the state of individual bridges, appraised through visual inspection. The capacity of each bridge is modeled using Hazus' fragility curve approach, while the geographical distribution of the seismic demand is calculated using an attenuation function. Uncertainty terms are considered both in capacity and demand, and the logical correlation between capacity and demand inherent to different bridges is handled through Bayesian Networks. In this paper this framework is developed in the simplest case of two bridges. The correlation between two bridges is first analyzed, and their prior probabilities of being in a damage state are calculated during the initialization procedure. When an earthquake occurs, if data such as magnitude and epicenter are known, or the damage state of one of the bridges is observed, then the probability of the companion bridge being in a damage state can be predicted and updated. Two bridges of similar characteristics located in the Italian Trentino region, are used to illustrate this approach.
| Language | English |
|---|---|
| Title of host publication | Bridge Maintenance, Safety, Management, Resilience and Sustainability |
| Subtitle of host publication | Proceedings of the Sixth International Conference on Bridge Maintenance, Safety and Management |
| Place of Publication | Boca Raton, FL. |
| Pages | 722-729 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 6th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2012 - Stresa, Lake Maggiore, Italy Duration: 8 Jul 2012 → 12 Jul 2012 |
Conference
| Conference | 6th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2012 |
|---|---|
| Country | Italy |
| City | Stresa, Lake Maggiore |
| Period | 8/07/12 → 12/07/12 |
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Keywords
- bridge construction
- post-earthquake assessments
- seismic assessment
Cite this
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Bayesian Networks for post-earthquake assessment of bridges. / Yue, Y. C.; Pozzi, M.; Zonta, D.; Zandonini, R.
Bridge Maintenance, Safety, Management, Resilience and Sustainability: Proceedings of the Sixth International Conference on Bridge Maintenance, Safety and Management. Boca Raton, FL., 2012. p. 722-729.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Bayesian Networks for post-earthquake assessment of bridges
AU - Yue, Y. C.
AU - Pozzi, M.
AU - Zonta, D.
AU - Zandonini, R.
PY - 2012
Y1 - 2012
N2 - We propose a probabilistic framework to estimate the condition state of a bridge stock in a post-earthquake situation based on the knowledge of the state of individual bridges, appraised through visual inspection. The capacity of each bridge is modeled using Hazus' fragility curve approach, while the geographical distribution of the seismic demand is calculated using an attenuation function. Uncertainty terms are considered both in capacity and demand, and the logical correlation between capacity and demand inherent to different bridges is handled through Bayesian Networks. In this paper this framework is developed in the simplest case of two bridges. The correlation between two bridges is first analyzed, and their prior probabilities of being in a damage state are calculated during the initialization procedure. When an earthquake occurs, if data such as magnitude and epicenter are known, or the damage state of one of the bridges is observed, then the probability of the companion bridge being in a damage state can be predicted and updated. Two bridges of similar characteristics located in the Italian Trentino region, are used to illustrate this approach.
AB - We propose a probabilistic framework to estimate the condition state of a bridge stock in a post-earthquake situation based on the knowledge of the state of individual bridges, appraised through visual inspection. The capacity of each bridge is modeled using Hazus' fragility curve approach, while the geographical distribution of the seismic demand is calculated using an attenuation function. Uncertainty terms are considered both in capacity and demand, and the logical correlation between capacity and demand inherent to different bridges is handled through Bayesian Networks. In this paper this framework is developed in the simplest case of two bridges. The correlation between two bridges is first analyzed, and their prior probabilities of being in a damage state are calculated during the initialization procedure. When an earthquake occurs, if data such as magnitude and epicenter are known, or the damage state of one of the bridges is observed, then the probability of the companion bridge being in a damage state can be predicted and updated. Two bridges of similar characteristics located in the Italian Trentino region, are used to illustrate this approach.
KW - bridge construction
KW - post-earthquake assessments
KW - seismic assessment
UR - http://www.scopus.com/inward/record.url?scp=84863953727&partnerID=8YFLogxK
U2 - 10.1201/b12352-97
DO - 10.1201/b12352-97
M3 - Conference contribution book
SN - 9780415621243
SP - 722
EP - 729
BT - Bridge Maintenance, Safety, Management, Resilience and Sustainability
CY - Boca Raton, FL.
ER -