【作者】 淳庆； 邱洪兴；

【Author】 Chun Qing Qiu Hongxing(College of Civil Engineering, Southeast University, Nanjing 210096.China)

【机构】 东南大学土木工程学院；

【摘要】 以一下承式钢桁梁桥模型为例进行数值模拟,采用BP神经网络方法对钢桁梁桥进行了损伤定位的研究,结果表明, 只需结构前4阶频率,构造敏感的损伤标识量,就可以有效地对钢桁梁桥的损伤位置进行预测。更多还原

【Abstract】 Taking a steel truss bridge model as an example, damage localization of steel truss bridge by BP algorithms of Neural Network is studied, the result shows that only the first four modal frequencies are needed to construct sensitive damage indicators, then damage location of steel truss bridge can be availably predicted.更多还原