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児嶋佑太*,遠藤克浩,平山健太, 原田祥久,村松眞由「有限要素解析および赤外線測定による応力分布に基づく転移学習を用いたCFRP 単純形状内の欠陥3次元情報の予測」, 第28回計算工学講演会, A-11-01 (6 pages), (2023).

Kojima, Y.*,Hirayama,K., Endo,K., Hiraide, K., Muramatsu, M., Harada, Y., “Defects Analysis in Carbon Fiber Reinforced Plastic by Combining Machine Learning and Infrared Stress Analysis”, 15th World Congress on Computation Mechanics & 8th Asian Pacific Congress on Computation Mechanics (WCCM-APCOM2022), Online (2022), MS1713, 2817.

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.

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.

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).

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).