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Probabilistic fatigue life prediction method and modeling for complex structural parts
Received date: 2015-04-13
Revised date: 2015-04-15
Online published: 2015-06-03
Supported by
National Natural Science Foundation of China (51175072, 51335003); Specialized Research Fund for the Doctoral Program of Higher Education of China (20110042130003)
Aimed at the probabilistic fatigue life prediction of multi-site damage (MSD) structural components, critical damage random variable is defined, the properties of life distribution, damage distribution and critical damage distribution are analyzed, and the relationship between these distribution functions are discussed. Besides, the present paper investigates probabilistic cumulative damage principle, presents a method to determine the probability density function of critical damage and develops probabilistic cumulative damage rule. Probabilistic fatigue life prediction model of MSD structural components is established based on multi-level statistics and system-level reliability modeling technique. Probabilistic fatigue life of an MSD structural component can be predicted through cumulative damage calculation of each damage site and the calculation of system failure probability. A case study is provided to illustrate the application of the method and related model.
XIE Liyang , REN Jungang , WU Ningxiang , QIAN Wenxue . Probabilistic fatigue life prediction method and modeling for complex structural parts[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(8) : 2688 -2695 . DOI: 10.7527/S1000-6893.2015.0109
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