Building portfolio fragility functions to support scalable community resilience assessment
Building portfolio fragility functions to support scalable community resilience assessment
复制标题
构建投资组合脆弱性函数以支持可扩展的社区复原力评估
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Naiyu Wang
中科院分区：
文献类型：
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作者：
Peihui Lin;Naiyu Wang
社区弹性规划、风险缓解和恢复优化必须从整体社区建筑环境的角度出发。虽然工程师可以量化单个建筑和设施的性能，但必须将这些信息汇总起来，以反映整个建筑组合的脆弱性，以支持社区层面基于弹性的决策。本研究提出了一种建筑组合分析的方法，该方法将暴露于自然灾害的单个建筑的性能与建筑组合的整体性能联系起来。我们引入了建筑投资组合脆弱性函数（BPFF）的概念，将其定义为建筑投资组合作为一个聚合系统，未能实现基于情景危害的规定绩效目标的概率，以表征建筑投资组合的脆弱性，并直接为社区层面的弹性驱动决策提供信息。文章最后以森特维尔社区的bpff发展为例。
Abstract Community resilience planning, risk mitigation, and recovery optimization must assume a system perspective at the level of the overall community built environment. While engineers can quantify the performance of individual buildings and facilities, such information must be aggregated to reflect the vulnerability of the building portfolio as a whole to support resilience-based decisions at the community level. This study presents a methodology for building portfolio analysis that relates the performance of individual buildings exposed to natural hazards to the overall performance of a building portfolio. We introduce the concept of building portfolio fragility function (BPFF), defined as the probability that a building portfolio, as an aggregated system, fails to achieve prescribed performance objectives conditioned on scenario hazards, to characterize the vulnerability of a building portfolio and to directly inform resilience-driven decisions at the community level. The paper concludes with an illustration of the development of BPFFs to the Centerville community.