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基于小波神经网络和疲劳曲线的结构疲劳寿命及可靠度预测
引用本文:纪冬梅,胡毓仁. 基于小波神经网络和疲劳曲线的结构疲劳寿命及可靠度预测[J]. 船舶力学, 2006, 10(5): 84-89
作者姓名:纪冬梅  胡毓仁
作者单位:上海交通大学船舶海洋与建筑工程学院,上海,200030;上海交通大学船舶海洋与建筑工程学院,上海,200030
摘    要:基于疲劳曲线,考虑应力范围的随机性,获得结构疲劳寿命所服从的分布,计算出期望寿命的可靠度.以非线性Morlet小波基作为激励函数形成神经元,结合小波与神经网络的优点,建立小波神经网络模型,从而得到应力范围、结构疲劳寿命及可靠度之间的关系,用于预测某应力范围下所期望可靠度的疲劳寿命,或者所期望疲劳寿命的可靠度.

关 键 词:小波神经网络  疲劳寿命预测  可靠度  疲劳曲线
文章编号:1007-7294(2006)05-0084-06
收稿时间:2005-10-24
修稿时间:2005-10-24

Application of artificial neural networks and fatigue curves in prediction of fatigue life and reliability of structures
JI Dong-mei,HU Yu-ren. Application of artificial neural networks and fatigue curves in prediction of fatigue life and reliability of structures[J]. Journal of Ship Mechanics, 2006, 10(5): 84-89
Authors:JI Dong-mei  HU Yu-ren
Affiliation:School of Naval Architecture Ocean and Civil Engineering, Shanghai jiao Tong University, Shanghai 200030, China
Abstract:The life distribution of the structures and the reliability of the expected life can be obtained by applying the fatigue curves and considering the randomicity of the stress range.The wavelet neural network was constituted taking the nonlinear Morlet wavelet radices as the stimulant function,and it can combine the advantages of wavelet analysis and neural networks.The relationships among the stress range,the life of the structures and the reliability can be obtained based on the wavelet neural network.The fatigue life of the expected reliability or the reliability of the expected life under a certain stress range can be predicted by using the trained network.
Keywords:wavelet neural network  prediction of fatigue life  reliability  fatigue curves
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