Dynamic time-based vulnerability assessment in pursuit of infrastructures resilience

相互依存 脆弱性(计算) 脆弱性评估 弹性(材料科学) 风险分析(工程) 关键基础设施 计算机科学 功能(生物学) 计算机安全 心理弹性 业务 物理 心理学 进化生物学 生物 政治学 法学 心理治疗师 热力学
作者
Mohammad Ali Nekooie,Ghasem Taghizadeh
出处
期刊:Proceedings of the Institution of Civil Engineers [Thomas Telford Ltd.]
卷期号:: 1-14
标识
DOI:10.1680/jfoen.21.00033
摘要

One of the main principles of critical infrastructure resilience is risk assessment for severe shocks caused by natural or man-made disasters. Vulnerability assessment plays an important role in calculating risk. One type of vulnerability assessment is the sequential-function vulnerability assessment, which is based on the network characteristics and interdependencies of different assets. A further significant area of vulnerability among resilient infrastructures relates to time. Time can change interdependencies, it can modify the inherent properties of individual assets and it can superpose impacts through pathways between receptors and sources during each shock. This study aims to develop a new technique for assessing dynamic time-based vulnerability as a main factor in risk analysis for achieving resilience. In this study, a new analytical equation is developed based on the effect of the source and the interdependencies between the receptors as nodes in the infrastructure network. Direct and indirect impacts on each infrastructure receptor are simulated by impulse functions and Heaviside functions superposed in the total function. The equation for time-based vulnerability assessment for interdependent assets in critical infrastructures is obtained by employing a Laplace transformation. Finally, the developed equation is tested on a hypothetical case study to assess vulnerability.
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