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07MnNiCrMoVDR钢在硫化氢溶液中的腐蚀疲劳裂纹扩展速率数学模型
引用本文:纪冬梅,周昌玉,胡毓仁.07MnNiCrMoVDR钢在硫化氢溶液中的腐蚀疲劳裂纹扩展速率数学模型[J].船舶力学,2005,9(6):103-112.
作者姓名:纪冬梅  周昌玉  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;南京工业大学机械与动力工程学院,江苏,南京,210009
摘    要:本文通过试验研究07MnNiCrMoVDR钢在硫化氢水溶液中的腐蚀疲劳裂纹扩展特性,根据试验数据,利用神经网络,以介质浓度、载荷频率、应力比作为输入节点,裂纹扩展速率系数C作为输出节点,训练该网络预测不同条件下的裂纹扩展速率.根据由神经网络所预测的数据找出这三个影响因素在裂纹扩展速率系数C中的关系表达式,从而回归出07MnNiCrMoVDR钢在硫化氢水溶液中的腐蚀疲劳裂纹扩展速率数学模型.

关 键 词:07MnNiCrMoVDR  H2S水溶液  腐蚀疲劳  疲劳裂纹扩展速率  数学模型
文章编号:1007-7294(2005)06-0103-10
收稿时间:2004-11-15
修稿时间:2004年11月15日

Crack Growth Rate of 07MnNiCrMoVDR Steel in H2S Solution
JI Dong-mei,ZHOU Chang-yu,HU Yu-ren.Crack Growth Rate of 07MnNiCrMoVDR Steel in H2S Solution[J].Journal of Ship Mechanics,2005,9(6):103-112.
Authors:JI Dong-mei  ZHOU Chang-yu  HU Yu-ren
Institution:1 School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200030,China; 2 College of Mechanical and Dynamical Engineering, Nanjing University of Chemical Technology, Nanjing 210009, China
Abstract:The corrosion fatigue characteristics of 07MnNiCrMoVDR steel in H2S are studied in this paper.Experiments on corrosion fatigue crack growth rate are carried out. On the basis of the experimental data, the crack growth rates under the different environments are predicted with the neural network. The network is trained with the three main influence factors, that is, the solution concentration, the loading frequency and the stress ratio as the input nodes, and the crack growth rate coefficient C as the output node. On the basis of the datum predicted by the trained network, the relationship between the crack growth rate and these three influence factors is obtained.Then the mathematical model of the crack growth rate of 07MnNiCrMoVDR steel in H2S solution is obtained by regression.
Keywords:07MnNiCrMoVDR  07MnNiCrMoVDR  H2S solution  corrosion fatigue  crack growth rate
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