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Life Cycle Performance of Infrastructure Networks Considering Seismic Risk

机译:考虑地震风险的基础设施网络的生命周期性能

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In Japan, earthquake is one of major natural disasters, which causes a great loss. In this study, an attempt is made to introduce the effects of earthquake damage into Life-Cycle Cost (LCC) analysis. At first, LCC analysis is formulated to consider the social and economical effects due to the collapse of structures by the earthquake as well as the minimization of maintenance cost. LCC evaluations are performed not only for a single bridge but also many bridges forming a road network. Furthermore, the restoration of road networks after earthquake disasters is studied, which deals with the allocation problem which groups restore which disaster places, the scheduling problem what order is the best for the restoration, and the allocation problem which restoring method is used for which disaster places. In order to solve the two problems, Genetic Algorithm (GA) is applied, because it has been proven to be very powerful in solving combinatorial problems. In this study, an attempt is made to discuss the relationships among early restoration, minimization of LCC, and target safety level of road network by using Multi-Objective Genetic Algorithm (MOGA).
机译:在日本,地震是重大自然灾害之一,造成了巨大的损失。在这项研究中,尝试将地震破坏的影响引入生命周期成本(LCC)分析中。首先,进行LCC分析时要考虑地震造成的结构倒塌以及维护成本最小化所带来的社会和经济影响。 LCC评估不仅针对单个桥梁,而且还对构成道路网络的许多桥梁进行评估。此外,还研究了地震灾害后的路网恢复问题,该问题涉及对哪些灾难发生地点进行分组恢复的分配问题,对恢复的最佳顺序是什么的调度问题以及对哪种灾难使用哪种恢复方法的分配问题。的地方。为了解决这两个问题,应用了遗传算法(GA),因为事实证明它在解决组合问题方面非常强大。在这项研究中,试图通过使用多目标遗传算法(MOGA)讨论早期恢复,最小化LCC和道路网络目标安全水平之间的关系。

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