This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Statistical Variability in Strain-Life Materials Data
Technical Paper
2005-01-1394
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Strain-based fatigue life estimation techniques are commonly used in the automotive industry to model the likely service behaviour of safety-critical components contained within, especially, chassis and suspension systems. Mostly, these analytical models assume that the material properties, loads and part geometry are invariant. However, the ‘real world’ is probabilistic and not deterministic in nature. The work presented in this paper surveys several different analytical techniques plus two empirically based methods that may be used to define lower bounds to both strain-life fatigue damage curves and cyclic stress-strain parameters. In addition, an empirical method proposed by Conle (SAE Technical Paper 2002-01-1279) which applies a pseudo notch factor, Ks, to account for material data scatter in fatigue life estimations was assessed as part of a series of LCF models using both constant- and variable-amplitude loads. Work has also been undertaken to correlate the various methods examined with real-world data from component fatigue tests. The results indicate that the minus 3SD from standard error method provides the best correlation between analytical models and the statistical lower bound, B10, life obtained from laboratory tests.
Recommended Content
Authors
Citation
Blackmore, P., "Statistical Variability in Strain-Life Materials Data," SAE Technical Paper 2005-01-1394, 2005, https://doi.org/10.4271/2005-01-1394.Also In
Lightweight Castings and Aluminum Alloys for Advanced Automotive Applications
Number: SP-1948; Published: 2005-04-11
Number: SP-1948; Published: 2005-04-11
References
- Socie, D. Downing, S. “Statistical Strain-Life Fatigue Analysis” SAE Paper 960566 1996
- Bannantine, J. A. Comer, J. J. Handrock, J. L. “Fundamentals of Metal Fatigue Analysis” Prentice Hall New Jersey, USA 1990 0-13-340191-X
- Conle, F. A. Bonnen, J. Ford SRL Dearborn, USA 2002
- Halfpenny, A. “Material Property Data Analysis for Coffin Manson Equation” nCode International Ltd. Sheffield, England June 2001 February 2002
- Conle, F. A. Ford SRL Dearborn, USA 2001-2
- Conle, F. A. “Accounting for Scatter in Strain-Life Fatigue Testing” SAE Paper 2002-01-1279 2002
- Neuber, H. “Theory of Stress Concentration for Shear Strained Prismatic Bodies with Arbitrary Non Linear Stress Strain Law” J. of Applied Mech. Dec. 1961 200 209
- Society of Automotive Engineers SAE F.D.&E. Committee Experimental Fatigue Life Prediction Program: saefcalc http://fde.uwaterloo.ca/Fde/Calcs/saefcalc1.html
- Sinclair, G. M. Dolan, J. T. “Effect of Stress Amplitude on Statistical Variability in Fatigue Life of 75S-T6 Aluminum Alloy” Trans. ASME 75 1953 867 872
- Dorner, W. W. “Using Excel for Data Analysis” http://www.qualitydigest.com/oct97/html/excel.html
- Dorner, W. W. “Using Microsoft Excel for Weibull Analysis” http://www.qualitydigest.com/jan99/html/weibull.html
- Boardman, B. E. “Crack Initiation Fatigue - Data, Analysis, Trends and Estimation” SAE Paper 820682 1982