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CLC number: TB114.3; TK422
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Reliability analysis of diesel engine crankshaft based on 2D stress strength interference model
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Zhou Xun, Yu Xiao-li. Reliability analysis of diesel engine crankshaft based on 2D stress strength interference model[J]. Journal of Zhejiang University Science A, 2006, 7(3): 391-397.
@article{title="Reliability analysis of diesel engine crankshaft based on 2D stress strength interference model",
author="Zhou Xun, Yu Xiao-li",
journal="Journal of Zhejiang University Science A",
volume="7",
number="3",
pages="391-397",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0391"
}
%0 Journal Article
%T Reliability analysis of diesel engine crankshaft based on 2D stress strength interference model
%A Zhou Xun
%A Yu Xiao-li
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 3
%P 391-397
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0391
TY - JOUR
T1 - Reliability analysis of diesel engine crankshaft based on 2D stress strength interference model
A1 - Zhou Xun
A1 - Yu Xiao-li
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 3
SP - 391
EP - 397
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0391
Abstract: A 2D stress strength interference model (2D-SSIM) considering that the fatigue reliability of engineering structural components has close relationship to load asymmetric ratio and its variability to some extent is put forward. The principle, geometric schematic and limit state equation of this model are presented. Reliability evaluation for a kind of diesel engine crankshaft was made based on this theory, in which multi-axial loading fatigue criteria was employed. Because more important factors, i.e. stress asymmetric ratio and its variability, are considered, it theoretically can make more accurate evaluation for structural component reliability than the traditional interference model. Correspondingly, a monte-Carlo Method simulation solution is also given. The computation suggests that this model can yield satisfactory reliability evaluation.
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