Kojima, Y.*, Hiraide, K., Hirayama, K., Endo, K., Muramatsu, M., Harada, Y. “Development of the Defects Detection System for Carbon Fiber Reinforced Plastic by Using Infrared Stress Analysis and Machine Learning”, 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS2022), Norway (2022), MS117D-1.
MEMBERSタグ: Kazuya Hiraide
児嶋佑太*，遠藤克浩，平山健太，平出和也，村松眞由, 原田祥久「機械学習と赤外線応力測定を組み合わせた炭素繊維強化プラスチックの欠陥探索｣, 第27回計算工学講演会, C-07-02 (6 pages), (2022).
Kojima, Y.*, Hiraide, K., Hirayama, K., Endo, K., Muramatsu, M. “Estimation of Defects in Carbon Fiber Reinforced Plastic Based on Surface Pressure by Machine Learning”, XVI International Conference on Computational Plasticity (COMPLAS2021), Online, (2021), WM12-4.
自動下書き
村松眞由*，平出和也，平山健太，遠藤克浩，大矢豊大, 「ジブロックポリマー相分離構造の自己無撞着場理論解析と機械学習モデルの構築｣, 第26回計算工学講演会, B-07-01 (6 pages), (2021).
児嶋佑太*，遠藤克浩，平山健太，平出和也，村松眞由, 「機械学習を用いた炭素繊維強化プラスチック表面応力に基づく内部欠陥逆推定｣, 第26回計算工学講演会, B-07-03 (6 pages), (2021).
平出和也*， 平山健太， 遠藤克浩，村松眞由, ｢ポリマーアロイ相分離構造の逆解析への深層学習の導入｣, 日本機械学会関東支部第27期 総会・講演会, OS10-2-11C05 (4 pages), (2021).
児嶋佑太*，村松眞由，遠藤克浩，平山健太，平出和也， ｢機械学習を用いた層間剝離を有する炭素繊維強化プラスチックの表面応力・欠陥解析｣, 日本機械学会関東学生会第60回学生員卒業研究発表講演会, OS4-418 (5 pages), (2021).
平出 和也*，平山 健太，遠藤 克浩，村松 眞由, ｢深層学習によるポリマーアロイ相分離構造の逆解析手法の提案｣, 第25回計算工学講演会, B-07-04 (6 pages), (2020).
平出 和也*，平山 健太，遠藤 克浩，村松 眞由, ｢深層学習によるポリマーアロイ相分離構造の逆解析手法の提案｣, 第25回計算工学講演会, B-07-04 (6 pages), (2020).
Hiraide, K.*, Hirayama, K., Endo, K., Muramats, M. “Inverse design of polymer alloy using machine learning based on macroscopic property”, 14th World Congress in Computational Mechanics and ECCOMAS (WCCM2020), Online, (2020), Accepted.
Hiraide, K.*, Hirayama, K., Endo, K., Muramatsu, M. “Inverse design of polymer alloy using machine learning based on macroscopic property”, 14th World Congress in Computational Mechanics and ECCOMAS (WCCM2020), Online, (2020), 3004.
Hiraide, K.*, Hirayama, K., Endo, K., Muramats, M., “Inverse design of polymer using machine learning based on macroscopic property”, 3rd International Conference on Computational Engineering and Science for Safety and Environmental Problems (COMPSAFE2020), Online, (2020), MS23-2-04.
Hiraide, K.*, Hirayama, K., Endo, K., Muramatsu, M., “Inverse design of polymer using machine learning based on macroscopic property”, 3rd International Conference on Computational Engineering and Science for Safety and Environmental Problems (COMPSAFE2020), Online, (2020), MS23-2-04.