摘要
在分析了腐蚀疲劳裂纹扩展数据处理的一般方法之后，提出腐蚀疲劳裂纹扩展数据处理和在线监测的神经网络方法，这种方法弥补了现有疲劳裂纹扩展数据处理和在线监测方法的不足。
In this paper an artificial neural network method of on-line corrosion fatigue crack growth monitoring was put forward after analyzing the general method of corrosion fatigue crack growth data. It makes up the inadequacy of data treatment for current method and monitoring on-line. At the same time, this paper illustrates the relation between frequency and corrosion fatigue crack growth through the data analysis under different frequency
出处
《压力容器》
1998年第3期11-14,24,共5页
Pressure Vessel Technology
基金
国家"九五"重点科技攻关项目!96-618-02-04-02
