Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 79-106 |
| Number of pages | 28 |
| Journal | Journal of Earthquake Engineering |
| Volume | 7 |
| Issue number | SPEC. 1 |
| DOIs | |
| State | Published - Jul 24 2003 |
| Externally published | Yes |
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
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Geotechnical Engineering and Engineering Geology