摘要
应用人工神经网络模型,对钢筋混凝土梁结构上面出现的裂纹损伤对于结构固有频率下降率的影响进行了诊断和预测研究,并与传统的诊断和预测结果进行了比较,结果表明,采用神经网络技术能够更好地反映结构损伤与特征参数之间的非线性特征。
This paper analyzed the influence of the crack damage fault occurred in reinforced concrete beam ratios of inherent frequency by applying artificial neural networks, and compared with the traditional method of dignosis and prediction. It shown that it is feasible to synthetically diagnose and forecast the crack damage fault in structure using artificial neural networks. It can reflect the nonlinear between damage fault and parameters better.
出处
《山西建筑》
2006年第20期80-81,共2页
Shanxi Architecture
关键词
神经网络
诊断
预测
频率下降率
neural network, diagnosis, prediction, ratio of frequency drops
