混凝土损伤参数尺寸效应的BP神经网络预测
Predicating Size Effect of Concrete Damage Parameters Based on BP Neural Network
本文基于BP神经网络进行混凝土损伤参数的尺寸效应研究，通过分析混凝土损伤参数的尺寸效应产生的机理，根据实验数据，应用BP神经网络推导大、小试件的初始损伤以及峰值损伤的变化规律，并将所得结果与相关实验结果进行对比，以验证BP神经网络用于混凝土损伤参数的尺寸效应研究中的可靠性，即所得结论的正确性。
In this paper, BP neural network is applied to the size effect of concrete damage parameters. Through analysis of the mechanism of size effect of concrete damage parameters, based on some experimental data, BP neural network is used to derive the initial damage, as well as the threshold damage of large and small specimens. The results obtained were compared with the experimental results, in order to verify the reliability that BP neural network used for the size effect of damage parameters of concrete study.
王艳、王向东
建筑基础科学建筑材料工业建筑结构
BP神经网络混凝土的损伤参数尺寸效应MATLAB
BP neural networkdamage parameterssize effectMATLAB
王艳,王向东.混凝土损伤参数尺寸效应的BP神经网络预测[EB/OL].(2010-03-31)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201003-1083.点此复制
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