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J-GLOBAL ID:202401012148847324   Update date: Apr. 08, 2024

ZHOU HONGCHANG

チョウ ホンチャン | ZHOU HONGCHANG
Affiliation and department:
Job title: Assistant Professor
Homepage URL  (1): http://www.jwri.osaka-u.ac.jp/research/research03_2.html
Research field  (4): Machine materials and mechanics ,  Structural and seismic engineering ,  Marine and maritime engineering ,  Structural and functional materials
Research keywords  (3): Welding mechanics ,  Fatigue fracture ,  Structural integrity
Papers (4):
  • Hongchang Zhou, Zijie Liu, Shoichi Kikuchi, Kazuki Shibanuma. Analysis of fatigue performance of austenitic stainless steels with bimodal harmonic structures based on multiscale model simulations. Materials & Design. 2023. 111657-111657
  • Hongchang Zhou, Yuta Suzuki, Masao Kinefuchi, Siegfried Schmauder, Kiarash Dogahe, Kazuki Shibanuma. Bridging strategy between microscopic and macroscopic crack growth simulations to predict fatigue strength of steels. International Journal of Fatigue. 2022. 107386-107386
  • Hongchang Zhou, Yuta Suzuki, Masao Kinefuchi, Kazuki Shibanuma. Applicability of the Multiscale Model for Predicting Fatigue Strength to Short and Long Crack Problems. ISIJ International. 2022. 62. 10. 2126-2131
  • Hongchang Zhou, Zijie Liu, Masao Kinefuchi, Kazuki Shibanuma. Multiscale modelling strategy for predicting fatigue lives and limits of steels based on a generalised evaluation method of grain boundaries effects. International Journal of Fatigue. 2022
Lectures and oral presentations  (5):
  • A Bridging Strategy between Microscopic and Macroscopic Crack Growth Simulations for Predicting Fatigue Strength of Steels
    (2023)
  • Bridging Strategy between Microscopic and Macroscopic Crack Growth Simulations to Predict Fatigue Strength of Steels
    (2023)
  • A strategy for bridging microscopic and macroscopic crack-growth simulation to predict fatigue strength of steels
    (The 185th ISIJ Spring Meeting 2023)
  • Multiscale modelling strategy for predicting fatigue properties of bainitic steel using a generalised evaluation method considering grain boundaries effects
    (The 184th ISIJ Autumn Meeting 2022)
  • A multiscale model for predicting fatigue strength of bainitic steel considering grain boundaries effects by a generalised evaluation method
    (European Conference on Fracture 2022 2022)
Education (3):
  • 2020 - 2023 The University of Tokyo
  • 2017 - 2020 武漢理工大学(中国) 大学院,工学系研究科,船舶海洋工学専攻 修士課程
  • 2013 - 2017 武漢理工大学(中国) 工学部,船舶海洋工学
Professional career (1):
  • Doctor of engineering (The University of Tokyo)
Work history (2):
  • 2023/11 - 現在 Osaka University Joining and Welding Research Institute
  • 2023/10 - 2023/11 The University of Tokyo The Graduate School of Engineering Department of System Innovation
Awards (2):
  • 2024/03 - 東京大学 システム創成優秀博士学生賞
  • 2023/05 - 日本材料学会 疲労部門委員会 論文賞
Association Membership(s) (4):
一般社団法人 溶接学会 ,  一般社団法人 日本機械学会 ,  公益社団法人 日本船舶海洋工学会 ,  一般社団法人 日本鉄鋼協会
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