Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rekisei OZAWA"'
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
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
Autor:
Yoshitaka Wada, Rekisei Ozawa
Publikováno v:
The Proceedings of The Computational Mechanics Conference. :035
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e3524729ed31ce7ac54decc14b6d98
https://doi.org/10.1299/jsmecmd.2019.32.035
https://doi.org/10.1299/jsmecmd.2019.32.035
Publikováno v:
The Proceedings of The Computational Mechanics Conference. :182
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e498de727f2665474cb8be028b8d0594
https://doi.org/10.1299/jsmecmd.2018.31.182
https://doi.org/10.1299/jsmecmd.2018.31.182