Probabilistic Fatigue Life Estimation of Plate with Multiple Stress Concentration Zones
- 882 Downloads
Fatigue is a complex phenomenon which causes sudden failure of a component subjected to cyclic loading in the elastic region. Fatigue lives of nominally identical specimens subjected to the same nominal cyclic stress display scatter. This phenomenon reflects the stochastic nature of a fatigue damage process. Probabilistic and statistical methods are appropriate for managing the large uncertainties that exist in the fatigue process and provide reliability as a measure of structural performance. In this work, MATLAB was used as a platform to evaluate probabilistic fatigue life of the plate with multiple stress concentration zones using Latin Hypercube sampling. Fatigue reliability was computed by accounting for the scatter present in material properties in terms of random design variables and verified. Among the random design variables, fatigue strength exponent was having higher influence on fatigue life. Fatigue reliability was found to be decreasing with increase in input variation.
KeywordsFatigue analysis Reliability Latin hypercube sampling MATLAB
The authors would like to thank Head, Structural Technologies Division, CSIR-NAL, and the Director, CSIR-NAL, for their support and encouragement to carry out the work reported in this paper. The authors would also like to express their thanks to the people who contributed to this work directly or indirectly.
- 1.Schijve J (2001) Fatigue of structures and materials, 2nd edn. Springer, Berlin. ISBN-13: 978-1-4020-6807-2Google Scholar
- 2.Dhillon BS (1999) Design reliability fundamentals and applications, 1st edn. CRC Press. ISBN 0-8493-1465-8Google Scholar
- 3.Marian Zaharia S (2015) Fatigue life simulation of the specimens made of mechanical component. In: International conference on scientific paper, AFASES, Brasov, 28–30 May 2015Google Scholar
- 4.Chen JX, Yan WC (2004) Mechanical spring reliability assessments based on FEA generated fatigue stresses and Monte Carlo simulated stress/strength distributions. In: International conference on compressor engineering, School of Mechanical Engineering Purdue UniversityGoogle Scholar
- 6.Mrad H, Saoudi A, Bouazara M (2011) Fatigue reliability analysis using latin hypercube sampling method. In: SIMULIA customer conference. University of Quebec at Chicoutimi, Canada (2011)Google Scholar
- 7.Lee YL, Pan J, Hathaway R, Barkey M. Fatigue testing analysis, 1st edn. Elsevier, Amsterdam. ISBN-0: 7506-7719-8Google Scholar
- 8.Keerthi HG, Sivaranjani T, Pavan Kumar DVTG, Manjuprasad M, Dinesh SV (2013) Fatigue life prediction of plate with multiple stress concentration zones using FEM. In: International conference on computer aided engineering (2013)Google Scholar
- 9.Biroloni A. Reliability engineering: theory and practice, 5th edn. Springer, Berlin. ISBN 978-3-662-05409-3Google Scholar
- 10.Cochran WG (2007) Sampling techniques, 3rd edn. Wiley, New York. ISBN 978-0-471-16240-7Google Scholar
- 11.Sivaranjani T, Manjuprasad M (2015) Fatigue reliability analysis of plate with multiple stress concentration zones. TM-STT/2015/1003, CSIR-NAL BangaloreGoogle Scholar