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 (8)：

Hongchang Zhou, Masao Kinefuchi, Yasuhito Takashima, Kazuki Shibanuma. Multiscale modelling strategy for predicting fatigue performance of welded joints. International Journal of Mechanical Sciences. 2024. 109751-109751
鉄鋼材料の疲労寿命予測を実現するマルチスケール統合化モデル. Proceedings of the Conference on Computational Engineering and Science. 2024. 29. 512-515
Qingzhi Yao, Hongchang Zhou, Kazuki Shibanuma. Bridging strategy between micro-macro fatigue crack growth models : Efficient life prediction, non-experimental determination of Paris' law constants, and quantitative interpretation of small crack regime. Proceedings of the Conference on Computational Engineering and Science. 2024. 29. 516-519
合理的な鋼の疲労強度予測手法確立に向けた微視的及び巨視的亀裂進展シミュレーションの連結. The Proceedings of the Materials and Mechanics Conference. 2023. 2023. 0
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

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Lectures and oral presentations (6)：

Multiscale Model Simulations for Analysing Fatigue Strength of Austenitic Stainless Steels with Bimodal Harmonic Structures
(The 24th European Conference on Fracture 2024)
A Bridging Strategy between Microscopic and Macroscopic Crack Growth Simulations for Predicting Fatigue Strength of Steels
(13th International Fatigue Congress 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)

ｍore...

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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