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High‐Fidelity High‐Resolution Regional Seismic Risk and Resilience Assessment of Large Building Inventories
Historically, building design codes have been governed by the life‐safety performance standard with minimal emphasis on other metrics such as economic loss and downtime. However, recent advancements in earthquake engineering have put in motion a national‐level initiative to explicitly codify functional recovery as a target performance objective. While the importance of this effort has been broadly acknowledged by engineers and policymakers, there is a need to develop efficient computational strategies for evaluating the performance and cost‐benefit implications of these resilience‐based standards at the regional scale. It is with this vision in mind that this paper makes two primary contributions. First, an efficient computational framework for performing high‐fidelity high‐resolution seismic risk and resilience assessments of large building inventories is proposed. The framework harnesses automation, optimization, and distributed computing to render high fidelity and resolution‐based seismic risk assessments computationally feasible. Second, a new approach to performing stochastic event set‐based evaluation of building portfolios is proposed, which utilizes building‐specific performance‐based assessments that include site‐specific ground motion selection. A case study is presented on a risk‐based seismic loss and functional recovery evaluation of more than 15,000 residential woodframe buildings in the City of Los Angeles. By leveraging automation, optimization, and high‐performance computing, we are able to reduce the runtime for such an assessment from months to days.
High‐Fidelity High‐Resolution Regional Seismic Risk and Resilience Assessment of Large Building Inventories
Historically, building design codes have been governed by the life‐safety performance standard with minimal emphasis on other metrics such as economic loss and downtime. However, recent advancements in earthquake engineering have put in motion a national‐level initiative to explicitly codify functional recovery as a target performance objective. While the importance of this effort has been broadly acknowledged by engineers and policymakers, there is a need to develop efficient computational strategies for evaluating the performance and cost‐benefit implications of these resilience‐based standards at the regional scale. It is with this vision in mind that this paper makes two primary contributions. First, an efficient computational framework for performing high‐fidelity high‐resolution seismic risk and resilience assessments of large building inventories is proposed. The framework harnesses automation, optimization, and distributed computing to render high fidelity and resolution‐based seismic risk assessments computationally feasible. Second, a new approach to performing stochastic event set‐based evaluation of building portfolios is proposed, which utilizes building‐specific performance‐based assessments that include site‐specific ground motion selection. A case study is presented on a risk‐based seismic loss and functional recovery evaluation of more than 15,000 residential woodframe buildings in the City of Los Angeles. By leveraging automation, optimization, and high‐performance computing, we are able to reduce the runtime for such an assessment from months to days.
High‐Fidelity High‐Resolution Regional Seismic Risk and Resilience Assessment of Large Building Inventories
Dahal, Laxman (author) / Burton, Henry (author) / Zhong, Kuanshi (author)
Earthquake Engineering & Structural Dynamics ; 54 ; 1376-1396
2025-04-01
21 pages
Article (Journal)
Electronic Resource
English
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