Výsledky vyhledávání - "Ryuhei TAICHI"

Akademický článek

Prediction of fatigue crack growth using convolutional neural network (2nd Report, Prediction of crack propagation on different levels)

Autor: Rekisei OZAWA, Takuya TOYOSHI, Ryuhei TAICHI, Yoshitaka WADA

Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 89, Iss 924, Pp 23-00032-23-00032 (2023)

In this paper, the prediction of crack propagation with two cracks using machine learning is described. The analysis results of crack propagation by s-version FEM (s-FEM), which combines the automatic mesh generation technique, are used for generatio

Externí odkaz: https://doaj.org/article/43ac7b06aad845a88f56c5df98b9c70c

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Akademický článek

Prediction of fatigue crack growth using convolutional neural network (1st Report, Prediction for a single crack with angle)

Autor: Takuya TOYOSHI, Rekisei OZAWA, Ryuhei TAICHI, Yoshitaka WADA

Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 88, Iss 915, Pp 22-00188-22-00188 (2022)

This paper presents a method for predicting the crack growth shape and the number of cycles of a two-dimensional fatigue crack under cyclic loading using a convolutional neural network. All of data sets for train are generated by s-version FEM for fa

Externí odkaz: https://doaj.org/article/a5f86f213e3249a087aea2fc913f8b67

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