DocumentCode :
3589880
Title :
Reliability simulation of surface crack growth and analysis of life cycles
Author :
Dangxiang Yi ; Chunhe Liu ; Shaoping Zhao ; Shinian Zhang ; Guobin Zhang
Author_Institution :
Inst. of Reliability Eng., Beihang Univ., Beijing, China
fYear :
2014
Firstpage :
894
Lastpage :
898
Abstract :
Based on dual boundary element method, Forman modified model and back propagation neural network, a reliability simulation method for surface crack growth is presented. In consideration of the uncertainty of eight parameters such as initial crack depth, crack length, crack angle, material parameters, crack growth threshold, fracture toughness and fatigue load, the orthogonal design table L49 (7s) is built to simulate crack growth sizes of crack front and obtain residual life. 7-12-1 three-layer BP neural network is trained and obtain nonlinear relationship between random variables and crack propagation life. Finally using Monte-Carlo sampling method, crack propagation reliability model and total life reliability model are given. Three-dimensional crack growth reliability of the torsion bar as an instance is simulated, and the results of crack propagation and life calculations show that the simulation method is reasonable and effective.
Keywords :
Monte Carlo methods; backpropagation; bars; boundary-elements methods; fatigue cracks; fracture toughness; neural nets; reliability; remaining life assessment; sampling methods; structural engineering computing; torsion; Forman modified model; Monte-Carlo sampling method; back propagation neural network; crack angle; crack front; crack growth threshold; crack length; crack propagation life; crack propagation reliability model; dual boundary element method; fatigue load; fracture toughness; initial crack depth; life cycle analysis; material parameters; orthogonal design table L49 (7s); random variables; reliability simulation method; residual life; surface crack growth; three-layer BP neural network training; torsion bar; total life reliability model; Fatigue; Load modeling; Mathematical model; Random variables; Reliability; Stress; Surface cracks; crack growth; dual boundary element method; neural network; reliability simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety (ICRMS), 2014 International Conference on
Print_ISBN :
978-1-4799-6631-8
Type :
conf
DOI :
10.1109/ICRMS.2014.7107332
Filename :
7107332
Link To Document :
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