Fatigue Probability Evaluation Method Based on the Principle of Sample-polymerization

doi:10.3901/JME.2016.06.206

Abstract

Abstract: As to obtain more accurate life assessment under random loading history with small sampling or large dispersion life data, a diminishing range search method and fatigue reliability models with full consideration of stochastic load and material dispersion are introduced on the basis of sample polymerization principle, and the method of determining the relationship curves of stress - life is improved as well. The core idea of the diminishing range search method is the internal approximation methodology. The range of optimal values will reduce after each search cycle. The searching cannot be stopped until find the result of meeting an assigned tolerance, and then fit stress - life curve. Based on this curve, fatigue life reliability models of stochastic loads are generally constructed from the deterministic constant amplitude loading to random cyclic stress values, and to different kinds of serving loading. The introduced methods are applied to fatigue life assessment of an aluminum structure which has experienced a period of service time. It indicates that, the diminishing range search method can obtain high accuracy P-S-N curves in a short time, and that the proposed fatigue reliability models are more close to engineering, whilst the results of traditional fatigue reliability model are quit conservative.

Key words: fatigue reliability, material dispersion, random loading, sample-polymerization, small sample

CLC Number:

TH122

BAI Xin, XIE Liyang, QIAN Wenxue. Fatigue Probability Evaluation Method Based on the Principle of Sample-polymerization[J]. Journal of Mechanical Engineering, 2016, 52(6): 206-210.

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