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Seismic Damage Rapid Assessment of Road Networks considering Individual Road Damage State and Reliability of Road Networks in Emergency Conditions

机译:考虑处于紧急情况下的道路网络的个人道路损伤状态和道路网络可靠性,对道路网络的抗震损伤快速评估

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Road networks are one of the vital components of a transportation system that influence the traffic capacity and disaster losses after the earthquakes. The road network reliability is crucial for the postearthquake emergency decision-making. In this study, a method is proposed to assess the seismic damage of road networks considering individual road damage state and reliability of road networks in emergency conditions. First, we assess the importance of the factors that affect seismic road damage using the AdaBoost algorithm. In addition, artificial neural networks are used to evaluate the damage state of an individual road based on the factors that are selected with higher importance. Then, the improved estimation for the reliability of road networks is adopted to assess the damage of road networks. Last, the method is demonstrated using the road networks in Karamay, China.
机译:道路网络是交通系统的重要组成部分,影响地震后的交通能力和灾害损失。道路网络可靠性对于骨头应急决策至关重要。在这项研究中,提出了一种方法来评估考虑处于紧急情况下的道路网络的个人道路损伤状态和可靠性的道路网络地震损伤。首先,我们评估使用Adaboost算法影响地震道路损伤的因素的重要性。此外,人工神经网络用于根据具有更高版本选择的因素来评估单个道路的损坏状态。然后,采用了对道路网络可靠性的改进估计来评估道路网络的损害。最后,使用克拉玛依的道路网络来证明该方法。

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