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DOI | 10.1007/s11069-019-03849-0 |
A resilience-based method for prioritizing post-event building inspections | |
Lenjani A.; Bilionis I.; Dyke S.J.; Yeum C.M.; Monteiro R. | |
发表日期 | 2020 |
ISSN | 0921030X |
起始页码 | 877 |
结束页码 | 896 |
卷号 | 100期号:2 |
英文摘要 | Despite the wide range of possible scenarios in the aftermath of a disruptive event, each community can make choices to improve its resilience, or its ability to bounce back. A resilient community is one that has prepared for, and can thus absorb, recover from, and adapt to the disruptive event. One important aspect of the recovery phase is assessing the extent of the damage in the built environment through post-event building inspections. In this paper, we develop and demonstrate a resilience-based methodology intended to support rapid post-event decision making about inspection priorities with limited information. The method uses the basic characteristics of the building stock in a community (floor area, number of stories, type of construction, and configuration) to assign structure-specific fragility functions to each building.For an event with a given seismic intensity, the probability of each building reaching a particular damage state is determined, and is used to predict the actual building states and priorities for inspection. Losses are computed based on building usage category, estimated inspection costs, the consequences of erroneous decisions, and the potential for unnecessary restrictions in access. The aim is to provide a means for a community to make rapid cost-based decisions related to inspection of their building inventory. We pose the decision problem as an integer optimization problem that attempts to minimize the expected loss to the community. The advantages of this approach are that it: (1) is simple, (2) requires minimal inventory data, (3) is easily scalable, and (4) does not require significant computing power.Use of this approach before the hazard event can facilitate planning and resources allocation in advance of an event to achieve the desirable resiliency goals of a community. © 2020, Springer Nature B.V. |
关键词 | Dynamic programmingInspection planningNatural hazardsRisk managementUncertainty quantificationUrban resilience |
英文关键词 | decision making; hazard assessment; natural hazard; numerical model; optimization; planning practice; risk assessment; uncertainty analysis |
语种 | 英语 |
来源期刊 | Natural Hazards |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/205783 |
作者单位 | School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, United States; Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, United States; Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada; University School for Advanced Studies, IUSS, Pavia, Italy |
推荐引用方式 GB/T 7714 | Lenjani A.,Bilionis I.,Dyke S.J.,et al. A resilience-based method for prioritizing post-event building inspections[J],2020,100(2). |
APA | Lenjani A.,Bilionis I.,Dyke S.J.,Yeum C.M.,&Monteiro R..(2020).A resilience-based method for prioritizing post-event building inspections.Natural Hazards,100(2). |
MLA | Lenjani A.,et al."A resilience-based method for prioritizing post-event building inspections".Natural Hazards 100.2(2020). |
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