基于神经网络的混凝土桥梁荷载识别方法研究

Research on the Method of Load Identification for Concrete Bridge Based on Neural Network

根据安装在桥梁结构上的监测系统传递来的位移、应变信息 ,进行作用在桥梁结构上的荷载识别 ,可以 :①对监测系统传递来的荷载信息加以校核和补充 ;②为下一步的损伤识别提供依据。而荷载识别的关键技术在于快速、准确地模拟桥梁的荷载 挠度曲线。本文以“在位移控制下部分预应力混凝土梁非线性行为试验研究”的试验数据为建模样本集 ,分别以作用于梁上的荷载和梁的跨中挠度为输入、输出 ,利用神经网络来对混凝土梁的荷载 挠度曲线进行模拟 ,并用其进行荷载识别的试验研究 。

By identifying the load condition of a bridge with the information of strain and displacements from the Bridge Monitoring System stored on it, we can first, replenish and check the information from the monitoring system, second, provide information for the damage detection in the next step. The key point of load identification is to model the relation between the load and the deflection caused by load correctly and quickly. Utilizing the data from a research on the nonlinear behavior of a partially prestressed concrete beam controlled by displacements as samples and taking the loads performed on the beams and the deflection at the mid span as input and output for the model respectively, a model of load and deflection is suggested and used to identify the load condition of concrete bridges based on Neural Network in the paper and the results are satisfactory.