Researchers

WADA Yoshitaka

WADA Yoshitaka
Professor
Faculty Department of Mechanical Engineering / Graduate School of Science and Engineering
Researchmap https://researchmap.jp/yoshitaka_wada

Education and Career

Education

  • 1989/04 - 1993/03 , Tokyo University of Science, Faculty of Science and Technology,
  • 1993/04 - 1995/03 , Tokyo University of Science, Graduate School of Science and Technology,
  • 1995/04 - 1997/03 , University of Tokyo, School of Engineering,

Academic & Professional Experience

  • Apr. 2017 - Today , Kindai University Faculty of Science and Engineering, Department of Mechanical Engineering Professor
  • Apr. 2012 - Mar. 2017 , Kinki University Faculty of Science and Engineering Associate Professor
  • Apr. 2007 - Mar. 2012 , Tokyo University of Science, Suwa Faculty of Systems Engineering Associate Professor
  • Apr. 2002 - Mar. 2007 , Tokyo University of Science, Suwa Faculty of Systems Engineering Lecturer
  • Apr. 2001 - Mar. 2002 , 財団法人 高度情報科学技術研究機構 研究員
  • 2001 - 2002 , Researcher, Research Organization for Information Science and Technology
  • Feb. 2000 - Mar. 2001 , 財団法人 高度情報科学技術研究機構 招聘研究員
  • 2000 - 2001 , Invited Researcher, Research Organization for Information Science and Technology
  • 1997 - 2001 , Research Associate, School of Engineering, University of Tokyo
  • Apr. 1997 - Jan. 2000 , The University of Tokyo The Graduate School of Engineering

Research Activities

Research Areas

  • Informatics, Soft computing
  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Machine materials and mechanics

Research Interests

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

Published Papers

  1. Crack Propagation Prediction Using Partial Differential Equations‐Based Neural Network With Discovered Governing Equations
    Genki Muraoka; Takuya Toyoshi; Yuki Arai; Yoshitaka Wada
    International Journal for Numerical Methods in Engineering  126  (1)  5, Jan. 2025  , Refereed
  2. Two-dimensional stress field prediction using deep learning technique and relative frequency equalized data augmentation method
    Takuya Toyoshi; Yoshitaka Wada
    Transactions of the JSME  Jun. 2024  , Refereed
  3. Improving accuracy of plural crack growth prediction by machine learning considering physical quantities limited small dataset
    MURAOKA Genki; TOYOSHI Takuya; TAICHI Ryuhei; WADA Yoshitaka
    Transactions of the Japan Society for Computational Engineering and Science  2024  , 20240007-20240007, 24, May. 2024  , Refereed

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Books etc

  1. Advanced Software Technologies for Post-Peta Scale Computing , WADA Yoshitaka , Numerical Library Based on Hierarchical Domain Decomposition , Numerical Library Based on Hierarchical Domain Decomposition , Springer , Dec. 2018
  2. 図でよくわかる材料力学 , 和田 義孝 , コロナ社 , Apr. 2014
  3. 構造工学ハンドブック , 丸善（株） , 2004

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Conference Activities & Talks

  1. 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～ , 和田 義孝 , 第36回 経営に貢献するCAEセミナー , 12, Jul. 2019
  2. Construction of Surrogate Model for Crack propagation prediction by machine learning , WADA Yoshitaka , MSC Software 2018 Users Conference , 10, Jul. 2019
  3. 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 ~ , 和田 義孝 , 日本計算工学会HQC研究会 , 26, Jun. 2019

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MISC

  1. 023 Crack progation analysis under mixed mode model with periodic boundary condition by s-FEM , Sakakibara Naoki; Wada Yoshitaka , The Computational Mechanics Conference , 2015 , 28 , "023 , 1"-"023-3" , 10, Oct. 2015
  2. Implementation of section generation algorithm for high resolution visualization library LexADV-VSCG , WADA Yoshitaka; KAWAI Hiroshi; OGINO Masao; MUROTANI Kohei; SHIOYA Ryuji , The Computational Mechanics Conference , 2014 , 27 , 381 , 382 , 22, Nov. 2014
    Summary:This paper describes development of section generation algorithm for ultra-large scale finite element model in the next generation super computer. We prospect the Exa-scale computer and research the possibility of new software which is appropriate for possible hardware configuration and architecture to be present. In this work, we show how to visualize and deal with ultra large scale FE data with very fine resolution from a point of data compression view, and we discuss its capability and possibility for the computer.
  3. Numerical Crack Growth Analysis in Composite Material Using S-version FEM , Kobayashi Shinji; Sato Masayuki; Wada Yoshitaka; Kikuchi Masanori , The Computational Mechanics Conference , 2014 , 27 , 487 , 488 , 22, Nov. 2014

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Awards & Honors

  1. Sep. 2020, Japan Society of Mechanical Engineers, Computational Mechanics Achievements Award
  2. Jul. 2020, Japan Association for Computational Mechanics, The JACM Fellows Award
  3. May. 2020, Japan Society for Computational Engineering and Science, The Kawai Medal

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Research Grants & Projects

  1. Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, High-performance computing and numerical methods to realize electromagnetic field analysis
  2. Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Improvement of S-version FEM code for 3-d. fatigue crack growth simulation. , Tokyo University of Science
  3. 日本学術振興会, 科学研究費助成事業, 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 , 東京理科大学