Wada Yoshitaka

ワダヨシタカ | Wada Yoshitaka

Affiliation and department：
Job title： Associate Professor

Research field (2)： Soft computing , Machine materials and mechanics

Research keywords (14)： Deep Learning , ひずみ計測 , 延性破壊 , 疲労き裂 , Structural analysis , Visualization technology for large scale FE analysis , Mesh Generation , Fracture Mechanics , 計算工学 , 計算力学 , Automatic Mesh Generation , CAE system , Computational Engineering and Science , Computational Mechanics

Research theme for competitive and other funds (3)：

2017 - 2022 High-performance computing and numerical methods to realize electromagnetic field analysis
2015 - 2018 Improvement of S-version FEM code for 3-d. fatigue crack growth simulation.
2004 - 2005 多軸マイク・スピーカーアレイと追跡視覚とによる複数人物への局所的音声送受

Papers (97)：

Takuya Toyoshi, Yoshitaka Wada. Two-dimensional stress field prediction using deep learning technique and relative frequency equalized data augmentation method. Transactions of the JSME. 2024
S.Tanaka, T.T.Htu, K.Hojo, Y.Wada, M.Obara, R.Yatsuzuka, H.Okada, T.Gouda, Y.Tonbe, T.Nagano. A benchmark elastic-plastic FEM analysis of steel plate and cylinder with a surface flaw for the development of the reference stress method. Proceedings of the 14th International Workshop on the Integrity of Nuclear Components. 2023. 14. 1
Rekisei OZAWA, Takuya TOYOSHI, Ryuhei TAICHI, Yoshitaka WADA. Prediction of fatigue crack growth using convolutional neural network (2nd Report, Prediction of crack propagation on different levels). Transactions of the JSME (in Japanese). 2023. 89. 924. 23-00032
OZAWA Rekisei, TOYOSHI Takuya, TAICHI Ryuhei, WADA Yoshitaka. Prediction of fatigue crack growth using convolutional neural network (2nd Report, Prediction of crack propagation on different levels). Transactions of the JSME (in Japanese). 2023. 89. 924. 23-00032-23-00032
Takuya TOYOSHI, Rekisei OZAWA, Ryuhei TAICHI, Yoshitaka WADA. Prediction of fatigue crack growth using convolutional neural network (1st Report, Prediction for a single crack with angle). Transactions of the JSME (in Japanese). 2022. advpub

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MISC (69)：

Sakakibara Naoki, Wada Yoshitaka. 023 Crack progation analysis under mixed mode model with periodic boundary condition by s-FEM. The Computational Mechanics Conference. 2015. 2015. 28. "023-1"-"023-3"
WADA Yoshitaka, KAWAI Hiroshi, OGINO Masao, MUROTANI Kohei, SHIOYA Ryuji. Implementation of section generation algorithm for high resolution visualization library LexADV-VSCG. The Computational Mechanics Conference. 2014. 2014. 27. 381-382
Kobayashi Shinji, Sato Masayuki, Wada Yoshitaka, Kikuchi Masanori. Numerical Crack Growth Analysis in Composite Material Using S-version FEM. The Computational Mechanics Conference. 2014. 2014. 27. 487-488
WADA Yoshitaka. Elasto-plastic crack growth analysis under cyclic torsional loadings with crack surfaces. The Computational Mechanics Conference. 2014. 2014. 27. 497-498
淀薫, 塩谷隆二, 和田義孝, 河合浩志. 大規模解析のためのオフライン可視化実装の最適化. 計算工学講演会論文集(CD-ROM). 2014. 19. ROMBUNNO.C-9-2

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Books (4)：

Advanced Software Technologies for Post-Peta Scale Computing
Springer 2018
図でよくわかる材料力学
コロナ社 2014
構造工学ハンドブック
丸善(株) 2004
図解入門よくわかる材料力学の基本
(株)秀和システム 2004

Lectures and oral presentations (164)：

深層学習による高精度き裂進展予測 ~AI-driven CAEの構築へ向けて~
(第36回経営に貢献するCAEセミナー 2019)
Construction of Surrogate Model for Crack propagation prediction by machine learning
(MSC Software 2018 Users Conference 2019)
深層学習によるき裂進展予測 ~計算力学サロゲートモデルの構築 ~
(日本計算工学会HQC研究会 2019)
深層学習によるシミュレーションレスCAE~計算力学サロゲートモデルの構築~
(第3回平成30年度 CMT分科会 2019)
ディープラーニングの工学問題へのアプローチ - 物理法則の学習からき裂進展挙動の予測まで
(第19回保全セミナー 2019)

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Education (6)：

1995 - 1997 University of Tokyo School of Engineering
- 1997 The University of Tokyo Graduate School, Division of Engineering Department of Quantum Engineering and Systems Science
1993 - 1995 Tokyo University of Science Graduate School of Science and Technology
- 1995 Tokyo University of Science Graduate School, Division of Science and Engineering Department of Mechanicsl Engineering
1989 - 1993 Tokyo University of Science Faculty of Science and Technology Mechanical Engineering

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Professional career (1)：

Dr. Eng. (The University of Tokyo)

Work history (10)：

2017/04 - 現在 Kindai University Faculty of Science and Engineering, Department of Mechanical Engineering Professor
2012/04 - 2017/03 Kinki University Faculty of Science and Engineering Associate Professor
2007/04 - 2012/03 Tokyo University of Science, Suwa Faculty of Systems Engineering Associate Professor
2002/04 - 2007/03 Tokyo University of Science, Suwa Faculty of Systems Engineering Lecturer
2001/04 - 2002/03 財団法人高度情報科学技術研究機構研究員

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Committee career (23)：

2024/04 - 現在日本機械学会計算力学部門副部門長
2023/04 - 現在日本機械学会学術誌計算力学カテゴリ・マネージャ
2022/04 - 現在日本計算工学会理事
2019/04 - 現在原子力研究委員会DHI小委員会副主査
2019/04 - 現在自動車技術会構造強度部門委員会AI-ML技術応用WG 主査

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Awards (8)：

2020/09 - Japan Society of Mechanical Engineers Computational Mechanics Achievements Award
2020/07 - Japan Association for Computational Mechanics The JACM Fellows Award
2020/05 - Japan Society for Computational Engineering and Science The Kawai Medal
2019/02 - Japan Society of Mechanical Engineers JSME fellow
2014/07 - 日本機械学会 2013年度計算力学部門優秀講演賞超大規模解析のための高精細可視化ライブラリの並列化

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Association Membership(s) (5)：

International Association for Computational Mechanics , THE JAPAN SOCIETY OF MECHANICAL ENGINEERS , THE JAPAN WELDING ENGINEERING SOCIETY , THE JAPAN SOCIETY FOR COMPUTATIONAL ENGINEERING AND SCIENCE , Japan Association for Computational Mechanics

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