Prediction of fatigue crack growth using convolutional neural network (2nd Report, Prediction of crack propagation on different levels)
Author:
Affiliation:
1. Nihon Emsco Co., Ltd.
2. Department of Mechanical System Engineering, Aichi University of Technology
3. Mitsubishi Motors Corporation
4. Department of Mechanical Engineering, Kindai University
Publisher
Japan Society of Mechanical Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/transjsme/89/924/89_23-00032/_pdf
Reference17 articles.
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2. Ando, K., Hirata, T. and Iida, K., An evaluation technique for fatigue life of multiple surface cracks (Part 2: A problem of multiple parallel surface cracks), Journal of the Society of Naval Architects of Japan, Vol.1983, No.153 (1983), pp.352-363 (in Japanese).
3. Erdogan, F. and Sih, G. C., On the crack extension in plates under plane loading and transverse shear, Journal of Fluids Engineering, Vol.85 (1963), pp.519-525.
4. Fish, J. and Guttal, R., The s-version of finite element method for laminated composites, International Journal for Numerical Methods in Engineering, Vol.39, No.21 (1996), pp.3641-3662.
5. Fish, J. and Markolefas, S., The s-version of the finite element method for multilayer laminates, International Journal for Numerical Methods in Engineering, Vol.33, No.5 (1992), pp.1081-1105.
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