Improved methodologies for seismic collapse risk estimation
Abstract/Contents
- Abstract
- Avoiding structural collapse is the most important objective in earthquake resistant design because it is typically the main contributor to fatalities and serious injuries. Therefore, it is extremely important to adequately assess its probability of occurrence.In the context of Performance-Based Earthquake Engineering, an intensity measure (IM) is a parameter that quantifies the severity of an earthquake ground motion and serves as a link between probabilistic seismic hazard analysis (PSHA) and probabilistic structural response analysis. The choice of which parameter is used as an IM in nonlinear response history analyses has important consequences not only on the reliability of the estimated structural collapse capacity but also on the computational effort involved in conducting the collapse risk assessment. This study aims to provide improved estimations of structural collapse risk in low- and intermediate-rise moment frame structures. The main contributions are: (1) A new method, termed Enhanced-2-Stripe-Analysis (E2SA), to accurately estimate the structural collapse risk using the most commonly used IM, Sa(T1); (2) A thorough evaluation of the possible bias in the probability of collapse introduced from record scaling when Sa(T1) is used as the IM. It is shown that the bias is very important and persists even when taking into account spectral shape; (3) A new intensity measure, FIV3, which outperforms the efficiency, sufficiency, scale factor robustness, and predictability of several traditional and recently proposed IMs. More importantly, this IM is equally applicable to pulse- and non-pulse-like ground motions and greatly simplifies the ground motion selection process without significantly introducing a bias on collapse risk results; and (4) Ground motion prediction models for the recently proposed IM, Sa_avg, and for the IM proposed in this dissertation, FIV3. These two models will enable practitioners to use these two IMs in PSHA as well as in ground motion selection procedures.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Dávalos Alejo, Héctor G |
|---|---|
| Associated with | Stanford University, Civil & Environmental Engineering Department. |
| Primary advisor | Miranda, Eduardo (Miranda Mijares) |
| Thesis advisor | Miranda, Eduardo (Miranda Mijares) |
| Thesis advisor | Deierlein, Gregory G. (Gregory Gerard), 1959- |
| Thesis advisor | Kiremidjian, Anne S. (Anne Setian) |
| Advisor | Deierlein, Gregory G. (Gregory Gerard), 1959- |
| Advisor | Kiremidjian, Anne S. (Anne Setian) |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Héctor G. Dávalos Alejo. |
|---|---|
| Note | Submitted to the Department of Civil and Environmental Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Hector Gabriel Davalos Alejo
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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