A NEW PREDICTION APPROACH FOR THE STRUCTURAL FATIGUE LIFE BASED ON MULTI-FACTOR CORRECTION

Guanglin Shi, Lin Zhu and Dongbin Wei ()
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Guanglin Shi: School of Mechanical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, P. R. China‡School of Electrical, Mechanical and Mechatronic Systems, University of Technology, Sydney, NSW 2007, Australia
Lin Zhu: School of Mechanical Engineering, Guangxi University of Science and Technology, Liuzhou 545006, P. R. China†School of Mechanical Engineering, Southeast University, Nanjing 211189, P. R. China
Dongbin Wei: #x2021;School of Electrical, Mechanical and Mechatronic Systems, University of Technology, Sydney, NSW 2007, Australia

Surface Review and Letters (SRL), 2018, vol. 25, issue 05, 1-9

Abstract: As the phenomenon of fatigue damage is a common failure mode of equipment, the reliability evaluation and life prediction have become a hot-spot. The precise prediction of fatigue life in the initiation stage has become necessary. The common prediction study for structural fatigue life takes less influence factors into consideration. The common prediction results of fatigue life cannot be quantitatively corrected by the influence factors at the same time. This paper presents a research on the prediction approach for structural fatigue life based on the multi-factor correction. The influence of some factors on the fatigue life was analyzed and the prediction approach for structural fatigue life based on multi-factor correction was raised. Then the fatigue life of axle housing was predicted by using the corrected approach, as the case study. Moreover, the result predicted by the local stress–strain approach and the experimental data were used to verify the accuracy of the corrected approach. It can be clearly demonstrated by the results that the corrected prediction approach can be used to achieve the precision fatigue life for engineering structures. Further, it is also a prediction approach endowed with engineering application prospects.

Keywords: Fatigue life; prediction approach; structure; correction factor; residual stress (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S0218625X18500956

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