龙卷风
脆弱性
文件夹
危害
社区复原力
弹性(材料科学)
概率逻辑
计算机科学
工程类
业务
可靠性工程
气象学
地理
物理化学
冗余(工程)
人工智能
有机化学
化学
物理
热力学
财务
作者
Mehrdad Memari,Navid Attary,Hassan Masoomi,Hussam Mahmoud,John W. van de Lindt,Stephanie Pilkington,Mohammad Reza Ameri
出处
期刊:Journal of Structural Engineering-asce
[American Society of Civil Engineers]
日期:2018-04-25
卷期号:144 (7)
被引量:59
标识
DOI:10.1061/(asce)st.1943-541x.0002047
摘要
Tornadoes are considered a low-probability high-consequence event that can cause significant damage to community infrastructure, resulting in injuries and fatalities and ultimately creating long-term socioeconomic losses. Community resilience requires not only that the performance level of individual facilities be modeled and understood, but also their synthesis in space and time. Fragilities are conditional statistical distributions that provide the probability of exceeding analyst-defined performance levels as a function of hazard (or loading) intensity. Fragilities are becoming a core component in community resilience studies and enable the analyst to model performance of individual components or a cluster of the infrastructure, thereby supporting risk-informed decision making at the community level. In this paper, tornado fragilities for a portfolio of nonresidential buildings are developed. These fragilities, combined with several existing tornado building fragilities from the literature, are proposed to represent a first comprehensive minimum size portfolio of tornado building fragilities needed to model a community. For illustration, they are then used in the Centerville virtual community to perform community-level building damage assessment. This minimal-level portfolio of building fragilities lays the foundation for post-tornado recovery and resilience studies of a community, which eventually requires inclusion of all physical and nonphysical infrastructure.
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