Reliability Analysis of Cracked Structure Based on Evolutionary Neural Network and Monte-Carlo
These main influence factors of three dimensional crack extension lives are analyzed to obtain their statistical distribution types. And we have established the structure functional function and reliability model. Making use of evolutionary neural network technology, which integrates the advantage of genetic algorithms and neural network, we simulate the non-linear structure functional function, and then make a reliability analysis by the importance sampling. Taking the surface crack extension reliability simulation of the torsion shaft as numerical illustration, we obtain the crack extension lives for different given reliability, and analyze the influence of these random variables on the crack extension residual lives. The simulation results are in good accord with the real situation.
Three-dimensional Crack Reliability Evolutionary Neural Network Monte-Carlo
LIU Chunhe YI Dangxiang
D8 Qinghe Building, Beijing, P.R.China, 100085
国际会议
2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)
烟台
英文
1-6
2008-08-14（万方平台首次上网日期，不代表论文的发表时间）