journal article·2016-07

A regularized Miner’s rule for fatigue reliability analysis with Mittag-Leffler statistics

Yingjie Liang, Wen Chen

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Abstract

This paper aims to develop a regularized Miner’s rule to assess the fatigue reliability of composites in conjunction with the Mittag-Leffler Monte Carlo method. The proposed strategy is validated by analyzing experimental data to investigate the fatigue reliability of carbon fiber/epoxy composites under different stress amplitudes. The estimated results are feasible for preliminary analysis at the design stage. The regularized Miner’s rule, a scale transform of fatigue life simulations, accurately describes the damage accumulation rate. It is stressed that the Mittag-Leffler Monte Carlo method is mathematically simple and easy-to-program for researchers and nonexpert engineers.
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Research context

OpenAlex topics: Probabilistic and Robust Engineering Design · Fatigue and fracture mechanics · Mechanical Behavior of Composites

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Affiliations

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Institute of Soft Matter Mechanics, College of Mechanics and Materials, Hohai University, Nanjing, Jiangsu, China

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