A Reliability Assessment Method in Strain-Based Fatigue Life Analysis

1998 ◽  
Vol 120 (1) ◽  
pp. 99-104 ◽  
Author(s):  
J. Zhao ◽  
J. Tang ◽  
H. C. Wu
Keyword(s):  
Fatigue Life ◽  
Elastic Strain ◽  
Reliability Assessment ◽  
Assessment Method ◽  
Applied Strain ◽  
The Other ◽  
Strain History ◽  
Fatigue Reliability ◽  
Life Analysis ◽  
Fatigue Life Analysis

For the purpose of fatigue reliability assessment based on strain-life analysis, a family of reliability-defined ε-Nf curves, called R-ε-Nf curves, is constructed by considering the interference model of fatigue strain capacity and applied strain history. The main effort of this work is to define reliability factors which are used to modify the conventional ε-Nf curve into a family of R-ε-Nf curves. A major contribution of this paper is to define two “unique” reliability factors, one for elastic-strain-life relation and the other for plastic-strain-life relation, for a certain reliability by using an empirical ε-Nf curve.

Reliability assessment on automobile suspension system using wavelet analysis

2019 ◽  
Vol 10 (5) ◽  
pp. 602-611
Author(s):  
Airee Afiq Abd Rahim ◽  
Shahrum Abdullah ◽  
Salvinder Singh Karam Singh ◽  
Mohd. Zaki Nuawi
Keyword(s):  
Fatigue Life ◽  
Wavelet Decomposition ◽  
Reliability Assessment ◽  
Content Type ◽  
Low Level ◽  
Rural Road ◽  
Automobile Suspension ◽  
Life Analysis ◽  
Fatigue Life Analysis ◽  
High Level

Purpose The purpose of this paper is to focus on the reliability assessment on the basis of automobile suspension fatigue life using wavelet decomposition method. Design/methodology/approach The discrete wavelet transform (DWT) of automobile coil spring signal is implemented as a response to different road surfaces. A reliability analysis is applied to determine the potential of the wavelet implementation in fatigue life analysis. The signals used in this study are highway and rural road. Findings On the basis of the implementation of wavelet decomposition method, low-level decomposition replicates the original signals in comparison with high-level decomposition. The fatigue life of low-level decomposition lies in the 2:1 and 1:2 correlation graph. The percentage difference for mean cycle to failure presents low values for low-level decomposition, with 44.31 per cent for highway and 44.20 per cent for rural road. The percentage of difference for high-level decomposition is high. Originality/value The determination of fatigue life analysis by using the DWT method is suitable for low-level decomposition. High-level decomposition is considered noise that cannot be eliminated and does not contribute to the failure of the structure.

Fatigue life analysis of shot-peened bearing steel

2012 ◽  
Vol 26 (6) ◽  
pp. 1747-1752 ◽  
Author(s):  
Sang-Jae Yoon ◽  
Jung-Hoon Park ◽  
Nak-Sam Choi
Keyword(s):  
Fatigue Life ◽  
Bearing Steel ◽  
Life Analysis ◽  
Fatigue Life Analysis
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