Fatigue reliability evaluation of structural components under random loadings

An efficient method for time-dependent fatigue reliability assessment of mechanical components under random loadings is proposed. Normally, fatigue damage induced by random loading is high-cycle fatigue problem. The randomness of high-cycle fatigue damage is treated in two aspects. The first one is the uncertainty quantification from the external random loading. The second one is the uncertainty quantification of the fatigue property of the structural component. The former is characterized by Gaussian distribution derived from the rainflow cycle distribution, median stress-life (S-N) curve, and the linear damage accumulation rule. The latter is described with the probabilistic stress-life (P-S-N) curve based on log-normal distribution. The proposed method has colligated these two aspects together to evaluate the expectation and confidence interval of fatigue reliability. Finally, a numerical example is provided to verify the effectiveness of the developed approach. A comparison with bootstrap method is also carried out. The comparative result has shown rational accuracy of the proposed method.

[1]  Jwo Pan,et al.  A maximum likelihood method for estimating PSN curves , 1997 .

[2]  M B Anoop,et al.  Probabilistic analysis of shear fatigue life of steel plate girders using a fracture mechanics approach , 2011 .

[3]  Jeffrey A. Laman,et al.  Fatigue reliability of steel bridges , 1999 .

[4]  Philipp R. Thies,et al.  Assessing mechanical loading regimes and fatigue life of marine power cables in marine energy applications , 2012 .

[5]  Turan Dirlik,et al.  Application of computers in fatigue analysis , 1985 .

[6]  Shigeo Shimizu,et al.  New data analysis of probabilistic stress-life (P–S–N) curve and its application for structural materials , 2010 .

[7]  Kaveh Ghorbanian,et al.  Energy and exergy analyses of an integrated gas turbine thermoacoustic engine , 2011 .

[8]  Thomas Svensson Prediction uncertainties at variable amplitude fatigue , 1997 .

[9]  Shahram Sarkani,et al.  Stochastic fatigue damage accumulation under broadband loadings , 1995 .

[10]  Pär Johannesson,et al.  Rainflow Analysis of Switching Markov Loads , 1999 .

[11]  I. Rychlik A new definition of the rainflow cycle counting method , 1987 .

[12]  Pär Johannesson On rainflow cycles and the distribution of the number of interval crossings by a Markov chain , 2002 .

[13]  Chang,et al.  Fatigue Reliability Analysis of Dynamic Components with Variable Loadings Without Monte Carlo Simulation , 2007 .

[14]  R. Tovo Cycle distribution and fatigue damage under broad-band random loading , 2002 .

[15]  A. Bowman,et al.  Applied smoothing techniques for data analysis : the kernel approach with S-plus illustrations , 1999 .

[16]  Shigeo Shimizu,et al.  A Study on P-S-N Curve for Rotating Bending Fatigue Test for Bearing Steel , 2008 .

[17]  N. W. M. Bishop The use of frequency domain parameters to predict structural fatigue , 1988 .

[18]  M. Shinozuka,et al.  Digital simulation of random processes and its applications , 1972 .

[19]  Variable stress ratio in cumulative fatigue damage: Experiments and comparison of three models , 2010 .