Prediction of Residual Fatigue Life of Bolts Based on Metal Magnetic Memory

Xu, Changhang; Cui, Jinxiu

doi:10.23919/acess.2018.8669199

Cited by 1 publication

(3 citation statements)

References 8 publications

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“…Xu and Cui, 96 based on metal magnetic memory signals, proposed a SVM model to estimate the fatigue life of bolts measured at different loading cycles and to perform fatigue tests; the signals of the bolts were measured by using various parameters were as input. Grid search, PSO and GA methodologies are adopted to optimize parameters of the proposed model, whereas the GA performed to be the most effective.…”

Section: Soft Computing Methodsmentioning

confidence: 99%

“…Article/conference paper Publications using genetic algorithms Article Ma et al, 34 Zhang and Lin, 38 Vadood et al, 43 Liu et al, 46 Lotfi and Beiss, 49 Majidian and Saidi, 56 Gao et al, 76 Canyurt, 89 Karakas et al, 90 Chen et al, 91 Kamal et al, 92 Zhang et al, 93 Agius et al 94 and Deveci and Artem 95 Conference paper Susmikanti, 17 Rohman et al, 18 Cai et al, 30 Zhaohua, 35 Tian 79 and Xu and Cui 96 prediction method for different purposes, such as the creation of constant life diagrams. Mohanty et al 101 estimated the fatigue crack growth rate of aluminium alloys (2024-T3) using GP and ANN, whereas GP provided a higher precision than ANN.…”

Section: T a B L E 4 Genetic Algorithms Adapted For Estimating Fatigumentioning

confidence: 99%

“…Kong et al, 19 Marquardt and Zenner, 27 Majidian and Saidi, 56 Karakas, 63 Gao et al, 76 Song et al, 81 Canyurt, 89 Chen et al, 91 Xu and Cui 96 and Li 129 Welded structures…”

Section: Metalsmentioning

confidence: 99%

See 2 more Smart Citations

Soft computing methods for fatigue life estimation: A review of the current state and future trends

Kalaycı

Karagöz

Karakaş

2020

Fatigue Fract Eng Mat Struct

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Fatigue causes cracking or breakage in a material due to repeated loads; it causes the material to become unusable. Therefore, knowing the fatigue life of materials is crucial for the implementation of designs, economy and human life. Soft computing methodologies, a subset of artificial intelligence emerging to simulate human intelligence, deal with approximate models and seek solutions to complex real-life problems relying on both computational power of machines and the high accuracy of the algorithms. In this study, soft computing methods adapted for estimating/predicting the fatigue life of engineering structures and materials are investigated. For this purpose, 95 articles published between 1995 and 2020 have been examined in detail. With this review, it is aimed to reveal the efficiency of soft computing methods and contribute to their development. Recommendations have been made to draw attention to these methodologies which are expected to be used in many areas in the future.

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Section: Soft Computing Methodsmentioning

confidence: 99%