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

  • Yoshinao GOI
  • 五井 良直
  • Associate Professor @Gifu University
  • Eng.D.
  • Gen HAYASHI
  • 林 厳
  • Associate Professor @Nagaoka University of Technology
  • Eng.D.
  • Daigo KAWABE
  • 河邉 大剛
  • Researcher @Kyoto University
  • Eng.D.

Visiting Researchers

Researchers

  • Zhuoran HAN
  • 韩 卓然
  • B4-D3
  • Eng.D.
  • General vehicle-bridge interaction framework
  • Dynamic and Seismic Response Analysis of Large-scale Bridges under Various Traffic Scenarios
  • 様々な交通条件下における大規模橋梁の動的および地震応答解析
  • 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

Visiting Students

Doctoral Students

  • Jing WANG
  • 汪 晶
  • CSC
  • D3
  • A data-driven methodology for bridge structure health monitoring combining FBG and computer vision.
  • Teng SHI
  • 史 腾
  • CSC
  • D3
  • Bridge damage identification based on correlation of the vehicle-bridge interaction system responses
  • Minte ZHANG
  • 张敏特
  • CSC
  • D3
  • Physics-Informed Machine Learning Frameworks for Structural Health Monitoring of Long-Span Bridges

Students

Doctoral Students

  • Hanliang YU
  • 余 翰良
  • D3
  • AI-Based Structural Performance Assessment Through Vibration-Derived Displacement Identification
  • 振動計測に基づく変位同定を用いたAIベースの構造性能評価
  • Damage detection of bridges by means of neural network supported FEM
  • Zhihao WANG
  • 王 志豪
  • D2
  • 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
  • D2
  • 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
  • Ran MA
  • 马 然
  • D1
  • From Three-dimensional Image to Finite Element Analysis by Using an Automatic Procedure
  • Geometric and Model Updating of a Railway Bridge Pier through 3D Reconstruction Techniques
  • Joshua IRAWAN
  • D1
  • Bridge Weigh-in-Motion for Bridge Damage Detection, Drive-by Bridge Employing Machine Learning Algorithms
  • Rotation-based Virtual Axle of Bridge Weigh-in-Motion for Bridge Health Monitoring
  • Jinghao FEI
  • 费 靖皓
  • D1
  • Digital Twin for Bridge Health Monitoring via Efficient Data Fusion and Multi-Timescale Interactions
  • Fourier Neural Operator for Mode Shape-BasedDamage Identification
  • Muhamad Fauzi Darmawan
  • D1

Graduate Students

  • Kei AKUTSU
  • 阿久津 慶
  • M2
  • Risk-based optimal decision making using both Structural Health Monitoring data and human inspection information
  • Akito HIRO
  • 廣 暁斗
  • M2
  • Damage Detection using Displacement Ratio in Bridge Health Monitoring
  • Sunwoo LEE
  • M2
  • Investigation of relationship between BFand model parameters
  • Hongkang PAN
  • 潘 宏康
  • M2
  • Cable force identification and separation of cable force load effects
  • Shiuancheng PAI
  • 白 軒誠
  • M2
  • Ground condition prediction by attached sensors on scaffolding with PINO method
  • Shunya TSUCHIYAMA
  • 土山 隼哉
  • M1
  • Estimation of the rotation angle and displacement of continuous beams using acceleration measurements
  • Yukito HANABATA
  • 花畑 友樹斗
  • M1
  • Development of a real-time evaluation system for ground resistance of a bridge pier
  • Pattharaphong YANAROM
  • M1
  • Road roughness profile identification through Fourier Neural Operator framework using vehicle acceleration

Undergraduates

  • Kaimuk LHUENGWONGPAISARN
  • B4
  • Reconciling Static and Dynamic Behaviors for Finite Element Model Updating of Prestressed Concrete Beams (プレストレストコンクリート梁の有限要素モデル更新における静的・動的挙動の整合)
  • Aoba TAMASAKU
  • 玉作 青葉
  • B4
  • Effects of Different Concrete Cracking Models on the Modal Characteristics of Reinforced Concrete Beams (コンクリートのひび割れモデルの違いがRC梁モデルの固有値解析に及ぼす影響)
  • Ryo MASHIMO
  • 眞下 凌
  • B4
  • Nonlinear Behavior Detection of Bridge Piers Using Tri-axial Accelerometers (3軸加速度モニタリングによる橋脚の非線形挙動の検出)

Research Student

  • Woqin LUO
  • Chunyu LIU
Top