摘要
在系统讨论和比较了结构健康监测中常用的模型修正法和神经网络法后,提出了一种新型的计算机辅助结构监控诊断方法(ComputerAidedStructualHealthMonitoringMethod,CASHM)——基于神经网络的模型预修正法。在介绍了这种新型方法的概念,并对其关键问题进行了分析后,通过试验模型对这种方法的可行性和准确性进行了验证。
A method for Computer Aided Structural Health Monitoring(SHM)-model pre-modification based on Artificial Neural Network(ANN)is presented,after a general discussion and comparison between the method of model modification and method of artificial neural network,which are usually used for detecting the structure damage.New conception is introduced,and some analysis about some pivotal problems are carried out,and at last the feasibility and veracity of the method is validated through experiment models.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第10期183-186,196,共5页
Computer Engineering and Applications