journal article·2017-02

Measurement and estimation of probabilistic fatigue limits using Monte-Carlo simulations

Xin Bai, Liyang Xie, Ruijin Zhang, Ruoyi Guan, Anshi Tong, Enjun Bai

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Abstract

Abstract Based on Monte-Carlo simulation, a new method is proposed to measure and estimate probabilistic fatigue limits, particularly for the situation with large scattering data. Firstly, the appropriate distribution was determined from four possible distributions by checking its consistency with the fatigue physics and checking its fit goodness. Then, the test procedure of this method was illustrated, which could use variable stress step sizes regardless of pairing observations. Finally, the method was applied to determine the fatigue limit of A7N01S-T4 aluminum. The results exhibited that this method was more flexible in test and could determine fatigue limit using fewer specimens.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Fatigue and fracture mechanics · Non-Destructive Testing Techniques · Probabilistic and Robust Engineering Design

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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