4.5 Article Proceedings Paper

Probabilistic seismic demand models and fragility estimates for RC bridges

Journal

JOURNAL OF EARTHQUAKE ENGINEERING
Volume 7, Issue -, Pages 79-106

Publisher

IMPERIAL COLLEGE PRESS
DOI: 10.1080/13632460309350474

Keywords

Bayesian inference; bridges; deformation demand; demand models; experimental data; fragility; model error; model updating; parameter estimation; probabilistic models; reinforced concrete; shear demand; uncertainty analysis

Ask authors/readers for more resources

A Bayesian methodology to construct probabilistic seismic demand models for the components of a structural system is developed. Existing deterministic models and observational data are used. The demand models are combined with previously developed capacity models for reinforced concrete (RC) bridge columns to estimate the seismic fragilities of bridge components and systems. The approach properly accounts for all relevant uncertainties, including model error. Application to two bridge examples typical of modern California practice is presented.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available