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A metric and frameworks for resilience analysis of engineered and infrastructure systems

机译:工程和基础架构系统的弹性分析的指标和框架

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In this paper, we have reviewed various approaches to defining resilience and the assessment of resilience. We have seen that while resilience is a useful concept, its diversity in usage complicates its interpretation and measurement. In this paper, we have proposed a resilience analysis framework and a metric for measuring resilience. Our analysis framework consists of system identification, resilience objective setting, vulnerability analysis, and stakeholder engagement. The implementation of this framework is focused on the achievement of three resilience capacities: adaptive capacity, absorptive capacity, and recoverability. These three capacities also form the basis of our proposed resilience factor and uncertainty-weighted resilience metric. We have also identified two important unresolved discussions emerging in the literature: the idea of resilience as an epistemological versus inherent property of the system, and design for ecological versus engineered resilience in socio-technical systems. While we have not resolved this tension, we have shown that our framework and metric promote the development of methodologies for investigating "deep" uncertainties in resilience assessment while retaining the use of probability for expressing uncertainties about highly uncertain, unforeseeable, or unknowable hazards in design and management activities.
机译:在本文中,我们回顾了定义弹性和评估弹性的各种方法。我们已经看到,尽管弹性是一个有用的概念,但其用法的多样性使它的解释和度量变得复杂。在本文中,我们提出了弹性分析框架和衡量弹性的指标。我们的分析框架包括系统识别,弹性目标设置,漏洞分析和利益相关方参与。该框架的实施侧重于实现三个弹性能力:适应能力,吸收能力和可恢复性。这三种能力也是我们提议的弹性系数和不确定性加权弹性指标的基础。我们还确定了文献中出现的两个尚未解决的重要讨论:作为系统的认识论与固有属性的复原力概念,以及社会技术系统中生态与工程复原力的设计。尽管我们尚未解决这种紧张关系,但我们已经表明,我们的框架和度量标准促进了在弹性评估中调查“深度”不确定性的方法的发展,同时保留了使用概率来表达设计中高度不确定性,不可预见或不可知的危害的不确定性和管理活动。

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