DocumentCode :
2647761
Title :
Analysis and simulation of stochastic fatigue reliability for running system of Self-Propelled Gun
Author :
Hu, Huibin ; Cao, Lijun ; Jia, Lianpeng ; Cao, Xinwen ; Chen, Shuxiao ; Chen, Ming
Author_Institution :
Dept. of Artillery Eng., Shijiazhuang Mech. Eng. Coll., Shijiazhuang, China
fYear :
2011
fDate :
17-19 June 2011
Firstpage :
153
Lastpage :
157
Abstract :
Actual equipment experiments are adopted to measure the load spectrum of torsion shaft. Virtual prototyping supplement the load spectrum that cannot be measured by actual experiments. Combined with material´s S-N curve, stress and strain spectrums can be obtained. To analyze the stochastic fatigue reliability accurately, nominal stress method and local stress and strain method are combined with probability density cumulation damage theory to compute the probability density distribution function. The computational results of stochastic fatigue reliability provide sufficient reference for determination of appropriate maintenance cycle and prediction of running system reliability.
Keywords :
fatigue; maintenance engineering; mechanical engineering computing; probability; reliability; shafts; stochastic processes; stress-strain relations; virtual prototyping; weapons; S-N curve; load spectrum; maintenance cycle; probability density; running system; self-propelled gun; stochastic fatigue reliability; stress-strain spectrums; torsion shaft; virtual prototyping supplement; Fatigue; Reliability; Roads; Shafts; Strain; Stress; Virtual prototyping; Self-Propelled Gun; fatigue reliability; running system; virtual prototyping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2011 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-1229-6
Type :
conf
DOI :
10.1109/ICQR2MSE.2011.5976587
Filename :
5976587
Link To Document :
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