دانلود مقاله ISI انگلیسی شماره 138583
کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
138583 2018 35 صفحه PDF سفارش دهید 8293 کلمه
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عنوان انگلیسی
Artificial neural network for random fatigue loading analysis including the effect of mean stress
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : International Journal of Fatigue, Volume 111, June 2018, Pages 321-332

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چکیده انگلیسی

The effect of mean stress is a significant factor in design for fatigue, especially under high cycle service conditions. The incorporation of mean stress effect in random loading fatigue problems using the frequency domain method is still a challenge. The problem is due to the fact that all cycle by cycle mean stress effects are aggregated during the Fourier transform process into a single zero frequency content. Artificial neural network (ANN) has great scope for non-linear generalization. This paper presents artificial neural network methods for including the effect of mean stress in the frequency domain approach for predicting fatigue damage. The materials considered in this work are metallic alloys. The results obtained present the ANN method as a viable approach to make fatigue damage predictions including the effect of mean stress. Greater resolution was obtained with the ANN method than with other available methods.

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