Abstract
| Language | English |
|---|---|
| Pages | 1840-1851 |
| Number of pages | 12 |
| DOIs | |
| Publication status | Published - 15 May 2010 |
| Event | Structures Congress 2010 - Orlando, United States Duration: 12 May 2010 → 15 May 2010 Conference number: 101545 |
Conference
| Conference | Structures Congress 2010 |
|---|---|
| Country | United States |
| City | Orlando |
| Period | 12/05/10 → 15/05/10 |
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Keywords
- bridge components
- composite bridges
- concretes
- Monte Carlo methods
- probabilistic modeling
- response variability
- seismic demand and capacity
- seismic vulnerability
- steel-concrete composite
- steel-concrete composite bridges
- structural component
- latin hypercube sampling
Cite this
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Seismic response and vulnerability of steel-concrete composite bridges accounting for model parameter uncertainties. / Tubaldi, E.; Barbato, M.; Dall'Asta, A.
2010. 1840-1851 Structures Congress 2010, Orlando, United States.Research output: Contribution to conference › Other
TY - CONF
T1 - Seismic response and vulnerability of steel-concrete composite bridges accounting for model parameter uncertainties
AU - Tubaldi, E.
AU - Barbato, M.
AU - Dall'Asta, A.
N1 - cited By 1
PY - 2010/5/15
Y1 - 2010/5/15
N2 - The performance of multi-span steel-concrete composite (SCC) bridges in recent seismic events has shown that these structures are very sensitive to earthquake loading. Extensive damage can occur not only in the substructures, which are expected to yield, but also in the components of the superstructure involved in transferring the seismic loads. Thus, proper evaluation of the seismic demand and capacity of each structural component involved in the seismic loads path is crucial to assess the fragility of these bridges. The objective of the paper is to investigate the seismic vulnerability of SCC bridges with dual load path accounting for model parameter uncertainty. A benchmark model of a three-span SCC bridge with relatively slender piers is considered for this purpose. Monte Carlo Simulation with Latin hypercube sampling is used to build a probabilistic model of the seismic demand and capacity at the different bridge components. This paper considers both uncertainties of the seismic action and of model parameters defining geometrical, mechanical, structural and inertial properties of the bridges considered. Comparison between the response variability induced by seismic input uncertainty and by model parameter uncertainty sheds light on the importance of accounting for the latter when evaluating the safety of the class of SCC bridges considered in this study.
AB - The performance of multi-span steel-concrete composite (SCC) bridges in recent seismic events has shown that these structures are very sensitive to earthquake loading. Extensive damage can occur not only in the substructures, which are expected to yield, but also in the components of the superstructure involved in transferring the seismic loads. Thus, proper evaluation of the seismic demand and capacity of each structural component involved in the seismic loads path is crucial to assess the fragility of these bridges. The objective of the paper is to investigate the seismic vulnerability of SCC bridges with dual load path accounting for model parameter uncertainty. A benchmark model of a three-span SCC bridge with relatively slender piers is considered for this purpose. Monte Carlo Simulation with Latin hypercube sampling is used to build a probabilistic model of the seismic demand and capacity at the different bridge components. This paper considers both uncertainties of the seismic action and of model parameters defining geometrical, mechanical, structural and inertial properties of the bridges considered. Comparison between the response variability induced by seismic input uncertainty and by model parameter uncertainty sheds light on the importance of accounting for the latter when evaluating the safety of the class of SCC bridges considered in this study.
KW - bridge components
KW - composite bridges
KW - concretes
KW - Monte Carlo methods
KW - probabilistic modeling
KW - response variability
KW - seismic demand and capacity
KW - seismic vulnerability
KW - steel-concrete composite
KW - steel-concrete composite bridges
KW - structural component
KW - latin hypercube sampling
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898427419&doi=10.1061%2f41130%28369%29168&partnerID=40&md5=b27fbfbafbbd16d14ad403ce108ccb99
U2 - 10.1061/41130(369)168
DO - 10.1061/41130(369)168
M3 - Other
SP - 1840
EP - 1851
ER -