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| DOI | 10.1061/AJRUA6.RUENG-1244 |
| Resilience Assessment under Imprecise Probability | |
| 发表日期 | 2024 |
| ISSN | 2376-7642 |
| 起始页码 | 10 |
| 结束页码 | 2 |
| 卷号 | 10期号:2 |
| 英文摘要 | Resilience analysis of civil structures and infrastructure systems is a powerful approach to quantifying an object's ability to prepare for, recover from, and adapt to disruptive events. The resilience is typically measured probabilistically by the integration of the time-variant performance function, which is by nature a stochastic process as it is affected by many uncertain factors such as hazard occurrences and posthazard recoveries. Resilience evaluation could be challenging in many cases with imprecise probability information on the time-variant performance function. In this paper, a novel method for the assessment of imprecise resilience is presented, which deals with resilience problems with nonprobabilistic performance function. The proposed method, producing lower and upper bounds for imprecise resilience, has benefited from that for imprecise reliability as documented in the literature, motivated by the similarity between reliability and resilience. Two types of stochastic processes, namely log-Gamma and lognormal processes, are employed to model the performance function, with which the explicit form of resilience is derived. Moreover, for a planning horizon within which the hazards may occur for multiple times, the incompletely informed performance function results in time-dependent imprecise resilience, which is dependent on the duration of the service period (e.g., life cycle) and can also be handled by applying the proposed method. Through examining the time-dependent resilience of a strip foundation in a coastal area subjected to groundwater intrusion in a changing climate, the applicability of the proposed resilience bounding method is demonstrated. The impact of imprecise probability information on resilience is quantified through sensitivity analysis. |
| 英文关键词 | Imprecise resilience; Time-dependent resilience; Performance function; Imprecise information; Resilience bounding; Climate change |
| 语种 | 英语 |
| WOS研究方向 | Engineering |
| WOS类目 | Engineering, Civil |
| WOS记录号 | WOS:001202592400006 |
| 来源期刊 | ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/299640 |
| 作者单位 | University of Wollongong; Leibniz University Hannover; University of Liverpool; Tongji University; Tongji University; Dortmund University of Technology; Southeast University - China |
| 推荐引用方式 GB/T 7714 | . Resilience Assessment under Imprecise Probability[J],2024,10(2). |
| APA | (2024).Resilience Assessment under Imprecise Probability.ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING,10(2). |
| MLA | "Resilience Assessment under Imprecise Probability".ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING 10.2(2024). |
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