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Seismic risk analysis with reliability methods, part II: Analysis
Abstract Reliability methods are employed in this paper to analyze the seismic risk to the Vancouver metropolitan region in Canada. The use of reliability methods contrasts with several contemporary approaches for risk analysis. In this paper, two analysis approaches are presented and implemented in a new computer program. One utilizes the first-order and second-order reliability methods together with a hazard combination technique. The other is a sampling-based method that repeatedly generates damage scenarios in the time period of interest. Both strategies employ the same collection of probabilistic models for seismic risk analysis. While the models are presented in the companion paper, this paper presents the analysis options and a comprehensive application that comprises 559 random variables and 3227 model objects. The primary result is the loss curve, which exposes seismic loss probabilities and serves as a basis for risk mitigation decisions. It is found that the probability of loss in excess of $100 billion in the next 50 years is 5.6%. By-products of the analysis provide further insight; the most vulnerable municipalities and the most influential hazard sources are identified.
Highlights ▸ Reliability methods are used to assess the seismic risk for metropolitan Vancouver. ▸ Two analysis approaches are presented and implemented in a new computer program. ▸ The primary result is the loss exceedance probability curve. ▸ It is found that Richmond is the most vulnerable municipality in the region. ▸ Shallow crustal earthquakes contribute the most to loss exceedance probabilities.
Seismic risk analysis with reliability methods, part II: Analysis
Abstract Reliability methods are employed in this paper to analyze the seismic risk to the Vancouver metropolitan region in Canada. The use of reliability methods contrasts with several contemporary approaches for risk analysis. In this paper, two analysis approaches are presented and implemented in a new computer program. One utilizes the first-order and second-order reliability methods together with a hazard combination technique. The other is a sampling-based method that repeatedly generates damage scenarios in the time period of interest. Both strategies employ the same collection of probabilistic models for seismic risk analysis. While the models are presented in the companion paper, this paper presents the analysis options and a comprehensive application that comprises 559 random variables and 3227 model objects. The primary result is the loss curve, which exposes seismic loss probabilities and serves as a basis for risk mitigation decisions. It is found that the probability of loss in excess of $100 billion in the next 50 years is 5.6%. By-products of the analysis provide further insight; the most vulnerable municipalities and the most influential hazard sources are identified.
Highlights ▸ Reliability methods are used to assess the seismic risk for metropolitan Vancouver. ▸ Two analysis approaches are presented and implemented in a new computer program. ▸ The primary result is the loss exceedance probability curve. ▸ It is found that Richmond is the most vulnerable municipality in the region. ▸ Shallow crustal earthquakes contribute the most to loss exceedance probabilities.
Seismic risk analysis with reliability methods, part II: Analysis
Mahsuli, M. (Autor:in) / Haukaas, T. (Autor:in)
Structural Safety ; 42 ; 63-74
01.01.2013
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Seismic risk analysis with reliability methods, part II: Analysis
Online Contents | 2013
|Seismic risk analysis with reliability methods, part II: Analysis
British Library Online Contents | 2013
|Seismic risk analysis with reliability methods, part I: Models
British Library Online Contents | 2013
|Seismic risk analysis with reliability methods, part I: Models
Elsevier | 2013
|Seismic risk analysis with reliability methods, part I: Models
Online Contents | 2013
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