A Bridge Damage Detection Approach using Train-Bridge Interaction Analysis and GA Optimization
A Bridge Damage Detection Approach using Train-Bridge Interaction Analysis and GA Optimization
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DOI：
10.1016/j.proeng.2011.07.097
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Xingwen He;M. Kawatani;T. Hayashikawa;H. Furuta;Takashi Matsumoto
中科院分区：
文献类型：
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作者：
Xingwen He;M. Kawatani;T. Hayashikawa;H. Furuta;Takashi Matsumoto
本研究旨在建立一个桥梁损伤检测方法，通过引入软计算方法，只需要直接分析列车引起的振动。该方法不同于用反分析方法识别结构损伤，而是首先假定桥梁可能的损伤模式。然后，采用开发的车桥相互作用分析程序，计算了一定损伤模式下行车引起的桥梁振动。当计算的响应与记录的响应相同时，这种损伤模式将是解决方案。然而，由于大量的损伤模式，很难确定精确的解决方案。因此，该方法采用遗传算法的优化方法，以计算结果与实测响应之差为目标函数，对结构的损伤模式进行识别，包括损伤位置和损伤程度。本文介绍了该方法的基本模型和过程。
This research is intended to establish a bridge damage detection approach employing only direct analyses of traininduced vibration by means of introducing soft computing methods. In this approach, different from identifying the structural damages using inverse analyses, the possible damage patterns of the bridge are assumed at first. Then, the running train-induced bridge vibration under a certain damage pattern is calculated employing a developed trainbridge interaction analysis procedure. When the calculated response is identical to the recorded one, this damage pattern will be the solution. However, owing to the large number of damage patterns, it is difficult to identify the exact solution. Therefore in this approach, the optimization method of Genetic Algorithm is applied to identify the damage pattern including the damage locations and degrees, in which the difference between the calculated results and the recorded responses is defined as the object function. The basic models and process of this approach are introduced in this paper.