Staff

Chul-Woo KIM
Chul-Woo KIM
  • Chul-Woo KIM
  • 金 哲佑
  • Eng.D.
  • Professor
  • (+81) 75-383-3421
    • Structural Mechanics I and Exercises
    • Mathematical Description of Natural Phenomena
    • Advanced Linear Algebra
    • Infrastructural Structure Engineering (Graduate School)
Kai-Chun CHANG
Kai-Chun CHANG
  • Kai-Chun CHANG
  • 張 凱淳
  • Ph.D.
  • Associate Professor
  • (+81) 75-383-3184
    • Mathematical Description of Natural Phenomena
    • Advanced Linear Algebra
    • Basic Informatics
    • Scientific English 1A: Reading and Writing
    • Structural Mechanics I & Exercises
    • Computer Programming & Experiment on Structural Mechanics
    • Exercises in Infrastructure Design (partly)
    • Advanced Scientific English (Debate) (partly)

Collaborators

  • Gen HAYASHI
  • 林 厳
  • Asst. Professor
  • Eng.D.

Researchers

  • Tong Zhou
  • JSPS research fellow
  • Ph.D.
  • Intelligent life-cycle management of deteriorating bridges supported by structural health monitoring
  • Zhenghao Ding
  • JSPS research fellow
  • Ph.D.
  • Computational Intelligence based crack modeling and inspection under extreme temperature variations
  • Wenjie JIANG
  • 姜 文杰
  • Postdoc
  • Eng.D.
  • Ambient-vibration-based Long-term SHM of Bridges Using Two-stage Output-only System Identification

Students

Doctoral Students

  • Lei ZHAO
  • 赵 磊
  • D3
  • Damage detection for PC bridges with null space-based method
  • Zhuoran HAN
  • 韩 卓然
  • D3
  • General vehicle-bridge interaction framework
  • An efficient vehicle-bridge interaction framework for massive traffic
  • Simulation of vehicle-bridge interaction in ABAQUS using Python script
  • ABAQUSベースの車両ー橋梁連成系解析のためのPythonスクリプトの提案
  • Debao CHEN
  • 陈 德宝
  • D3
  • Bayesian Probabilistic Framework with Nonlinear FE Models and Surrogate Models for Updating and Assessing Real-World Bridges
  • Daigo KAWABE
  • 河邉 大剛
  • D3
  • Risk-based decision making using structural health monitoring information
  • Scour assessment of a railway bridge pier by means of vibration monitoring
  • Statistical Downscaling of Ensemble Precipitation Output from MRI-AGCM3.2H
  • MRI-AGCM3.2Hのアンサンブル降水出力に対する統計的ダウンスケーリング
  • Hanliang YU
  • 余 翰良
  • D2
  • Damage detection utilizing reconstructed system matrix
  • Damage detection of bridges by means of neural network supported FEM
  • Zhihao WANG
  • 王 志豪
  • D1
  • Bayesian Damage Estimation and Reliability Analysis using Ambient Vibration Data
  • Risk-based Damage Assessment and Reliability Analysis in Long-term Cable Vibration Monitoring of a Cable-stayed bridge
  • Rongxiu CHEN
  • 陈 荣秀
  • D1
  • Developing surrogate models using physics-informed nerural operators.
  • physics-informedニューラルオペレーターに基づく代替モデルの開発
  • Three-dimensional analysis for traffic-induced vibrations of a four-pylon continuous cable-stayed bridge and its vibration serviceability

Graduate Students

  • Ran MA
  • 马 然
  • M2
  • From Three-dimensional Image to Finite Element Analysis by Using an Automatic Procedure
  • Keishu TANIGUCHI
  • 谷口 慶舟
  • M2
  • Model updating for PC bridges
  • Hibiki UENO
  • 上野 響己
  • M2
  • Drive-by bridge inspection
  • Joshua IRAWAN
  • M2
  • Bridge Weigh-in-Motion for Bridge Damage Detection, Drive-by Bridge Employing Machine Learning Algorithms
  • Jinghao FEI
  • 费 靖皓
  • M2
  • Inverse neural operator for structural damage localization
  • Kei AKUTSU
  • 阿久津 慶
  • M1
  • Risk-based optimal decision making using both Structural Health Monitoring data and human inspection information
  • Akito HIRO
  • 廣 暁斗
  • M1
  • Damage Detection using Displacement Ratio in Bridge Health Monitoring
  • Sunwoo LEE
  • M1
  • Investigation of relationship between BFand model parameters
  • Hongkang PAN
  • 潘 宏康
  • M1
  • Cable force identification and separation of cable force load effects
  • Shiuancheng PAI
  • 白 軒誠
  • M1
  • Ground condition prediction by attached sensors on scaffolding with PINO method

Undergraduates

  • Shunya TSUCHIYAMA
  • 土山 隼哉
  • B4
  • Yukito HANABATA
  • 花畑 友樹斗
  • B4
  • Honoka ENUMA
  • 江沼 芳乃香
  • B4
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