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Quantification and Enhancement of the Resilience of Infrastructure Networks

机译:量化和增强基础架构网络的弹性

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In this paper, network resilience is quantified by generalization of various notions used in the mathematical theory of network resilience. This algorithm is then used to create a quantitative framework for the resilience characterization of high-pressure natural gas networks. The key concepts are the notions of a network with associated delivery function and delivery importance. No model is available in the literature to measure the performance of high-pressure natural gas networks. In this paper, a new index measuring delivery importance of a gas network is proposed to evaluate the resilience of the entire network. The methodology can be used to consider and quantify the effects of any type of natural disasters such as earthquake and fire, or artificial hazards such as deliberate attacks on the system that may lead to the disruption of the system. The principles and theories applied to the natural gas supply and distribution network in this study can also be applied to other infrastructures that are interconnected and operate as a network, such as the electrical power and water supply and distribution systems. Furthermore, the present paper shows the characteristics of production and demand of natural gas in Iran and provides a data-based estimation of the future growth in production and consumption that is used in assessment of the resilience at a specific time in future. (C) 2016 American Society of Civil Engineers
机译:在本文中,网络弹性是通过对网络弹性数学理论中使用的各种概念进行概括来量化的。然后,使用该算法为高压天然气网络的弹性表征创建定量框架。关键概念是具有关联的传递功能和传递重要性的网络概念。文献中没有模型可用来测量高压天然气网络的性能。在本文中,提出了一种新的衡量天然气网络交付重要性的指标,以评估整个网络的弹性。该方法可用于考虑和量化任何类型的自然灾害(如地震和火灾)或人为危害(如对系统的蓄意攻击)的后果,这些后果可能导致系统崩溃。本研究中应用于天然气供应和分配网络的原理和理论也可以应用于互连并作为网络运行的其他基础设施,例如电力,供水和分配系统。此外,本文显示了伊朗天然气的生产和需求特征,并提供了基于数据的未来生产和消费增长预测,用于评估未来特定时间的弹性。 (C)2016美国土木工程师学会

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