基于BP神经网络的载荷试验研究

摘要

BP neural network is a kind of neural network model that is widely applied in different projects. The principle of BP neural network is briefly introduced. Based on field load test data,BP neural network techniques are used to build the correlation model between the bearing plate settlement value and the load value in load test. The process of load test can be predicted,and the result basically coincides with the measured value by comparing each other,which will provide references for the simulation of load test process in the future.%BP神经网络是工程中广泛应用的一种神经网格模型，对BP神经网络原理进行简要介绍，根据现场载荷试验数据，运用BP神经网络技术建立载荷试验过程中承压板沉降值与载荷值大小之间的相关性模型，并对载荷试验过程进行预测，将预测结果与实测值进行对比，结果表明预测结果与实测值基本吻合，为今后载荷试验过程模拟提供可借鉴的方法。