Fragility curves are required for the probabilistic evaluation of performance of an earthquake damaged transportation network. Recently, fragility curves of several hundreds of bridges have been obtained via 3D inelastic response history analysis, and then used to calibrate a Bayesian network (BN) model of seismic fragility. This paper investigates the sensitivity of network-level results to the use of such a BN-based surrogate fragility model. Bridge damages were evaluated with both the exact FEM-based and the approximate BN-based fragilities, and network flow analysis was carried out on the damaged network for thousands of seismic events in several Monte Carlo simulations. Even though the BN-based model does not perform in an equally good manner over all bridges, overall more accurate results at the network level were observed, indicating that network performance does not in general depend on any single bad match between reference and approximate fragility curves.

Sensitivity of network-level seismic performance measures to the bridge fragility model adopted / Cavalieri, Francesco; Franchin, Paolo; Lupoi, Alessio; Tesfamariam, Solomon. - CD-ROM. - (2016), pp. 1137-1144. (Intervento presentato al convegno IABMAS2016 8th International Conference on Bridge Maintenance, Safety and Management tenutosi a Foz do Iguaçu (Brasile) nel 26 - 30 Giugno 2016).

Sensitivity of network-level seismic performance measures to the bridge fragility model adopted

CAVALIERI, FRANCESCO;FRANCHIN, Paolo;LUPOI, ALESSIO;
2016

Abstract

Fragility curves are required for the probabilistic evaluation of performance of an earthquake damaged transportation network. Recently, fragility curves of several hundreds of bridges have been obtained via 3D inelastic response history analysis, and then used to calibrate a Bayesian network (BN) model of seismic fragility. This paper investigates the sensitivity of network-level results to the use of such a BN-based surrogate fragility model. Bridge damages were evaluated with both the exact FEM-based and the approximate BN-based fragilities, and network flow analysis was carried out on the damaged network for thousands of seismic events in several Monte Carlo simulations. Even though the BN-based model does not perform in an equally good manner over all bridges, overall more accurate results at the network level were observed, indicating that network performance does not in general depend on any single bad match between reference and approximate fragility curves.
2016
IABMAS2016 8th International Conference on Bridge Maintenance, Safety and Management
Bayesian networks; seismic fragility curves; reinforced concrete girder bridges
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Sensitivity of network-level seismic performance measures to the bridge fragility model adopted / Cavalieri, Francesco; Franchin, Paolo; Lupoi, Alessio; Tesfamariam, Solomon. - CD-ROM. - (2016), pp. 1137-1144. (Intervento presentato al convegno IABMAS2016 8th International Conference on Bridge Maintenance, Safety and Management tenutosi a Foz do Iguaçu (Brasile) nel 26 - 30 Giugno 2016).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/876187
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