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DAMAGE ANALYSIS AND LOCATION OF RUNYANG BRIDGE USING MULTI-LAYER PERCEPTRON 被引量:1

采用多层感知器的润扬桥损伤分析与定位(英文)
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摘要 A damage location method using multi-layer perceptron (MLP) is developed to diagnose the cable damage of a real long span cable-stayed bridge. Firstly, the damage patterns are defined based on dynamical calculation. The analysis of damage pattern reveals that the damage patterns caused by different damage locations have inherent distinctness, while the damage extent only linearly amplifies the damage pattern curves. And 4th, 6th and 7th order frequencies are canceled from the patterns because of their insensitiveness to cable damage. Then a MLP network is designed by trail-error method to describe the 7-D mapping space of damage pattern. Identification results prove that the properly organized MLP can grasp the damage pattern and identify the damage location. 将针对一座大跨斜拉桥的拉索损伤采用多层感知器(MLP)进行损伤定位研究。首先在动力计算基础上定义了损伤模式,通过分析损伤模式发现:由各个损伤位置引起的损伤模式具有本质的不同特征,而损伤程度只是对损伤模式曲线的线性放大;第4,6,7阶频率对拉索损伤不敏感,因而将这3阶从损伤模式中剔除。然后采用trail-error方法设计了一个MLP网络来描述损伤模式的7维映射空间。辨识结果证明:设计合理的MLP可以有效地描述结构的损伤模式,并能正确地进行损伤定位。
出处 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2008年第1期67-73,共7页 南京航空航天大学学报(英文版)
基金 国家高技术研究发展计划("八六三"计划)(2006AA04Z416)资助项目 国家自然科学基金(50378017)资助项目 南京航空航天大学青年科研基金(Y0513-013)资助项目~~
关键词 cable-stayed bridges neural networks damage detection pattern recognition 斜拉桥 神经网络 损伤识别 模式识别
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  • 1J. Rhim,S. W. Lee. A neural network approach for damage detection and identification of structures[J] 1995,Computational Mechanics(6):437~443

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