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D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
5659
World Ranking
7740
National Ranking
80

Overview

Kuo-Chun Chang is a researcher affiliated with National Taiwan University in Taiwan. Their research contributions mainly lie in the field of engineering with a specialized focus on civil and structural engineering. Additional subfields of study include building and construction, mechanical engineering, biomedical engineering, and ecology.

The scientist's scholarly output covers a broad spectrum of topics, emphasizing structural health monitoring techniques, concrete corrosion and durability, structural engineering and vibration analysis, structural behavior of reinforced concrete, acoustic wave phenomena research, seismic performance and analysis, and hydrology and sediment transport processes.

Frequently published venues for their work include:

  • Earthquake Engineering & Structural Dynamics
  • Applied Sciences
  • Sensors
  • Institutional Research Information System University of Ferrara (University of Ferrara)
  • Journal of Constructional Steel Research

Kuo-Chun Chang has collaborated with several co-authors over multiple publications. Frequent collaborators are:

  • Tzu-Kang Lin
  • Ping-Hsiung Wang
  • Marco Bonopera
  • Nerio Tullini
  • Rih-Teng Wu

Selected recent papers authored or co-authored by Kuo-Chun Chang include:

  • State-of-the-Art Review on Determining Prestress Losses in Prestressed Concrete Girders, 2020, Applied Sciences
  • The Artificial Intelligence of Things Sensing System of Real-Time Bridge Scour Monitoring for Early Warning during Floods, 2021, Sensors
  • Influence of prestressing on the behavior of uncracked concrete beams with a parabolic bonded tendon, 2021, Institutional Research Information System University of Ferrara (University of Ferrara)
  • Vibration of prestressed beams: Experimental and finite-element analysis of post-tensioned thin-walled box-girders, 2023, Journal of Constructional Steel Research
  • Development of a high-fidelity failure prediction system for reinforced concrete bridge columns using generative adversarial networks, 2023, Engineering Structures

Their research covers experimental studies, finite-element modeling, and applied artificial intelligence techniques aimed at structural assessment and monitoring. Some work focuses on prestressed concrete components, while others involve machine learning approaches for failure prediction in reinforced concrete structures.

Best Publications

  • Large-Scale Experimental Study of Precast Segmental Unbonded Posttensioned Concrete Bridge Columns for Seismic Regions

    Yu-Chen Ou;Ping-Hsiung Wang;Mu-Sen Tsai;Kuo-Chun Chang

  • Cyclic behavior of precast segmental concrete bridge columns with high performance or conventional steel reinforcing bars as energy dissipation bars

    Yu-Chen Ou;Mu-Sen Tsai;Kuo-Chun Chang;George C. Lee

  • Compressive Behavior of Steel-Fiber-Reinforced Concrete with a High Reinforcing Index

    Yu Chen Ou;Mu Sen Tsai;Kuang Yen Liu;Kuo Chun Chang

  • Large‐scale seismic tests of tall concrete bridge columns with precast segmental construction

    Jui-Chen Wang;Yu-Chen Ou;Kuo-Chun Chang;George C. Lee

  • NEURAL NETWORKS TRAINED BY ANALYTICALLY SIMULATED DAMAGE STATES

    M. F. Elkordy;K. C. Chang;G. C. Lee

  • Study on Damping Reduction Factor for Buildings under Earthquake Ground Motions

    Y. Y. Lin;K. C. Chang

  • Direct displacement-based design for building with passive energy dissipation systems

    Y.Y. Lin;M.H. Tsai;J.S. Hwang;K.C. Chang

  • SEISMIC BEHAVIOR OF STEEL FRAME WITH ADDED VISCOELASTIC DAMPERS

    K. C. Chang;T. T. Soong;S. T. Oh;M. L. Lai

  • Effect of Ambient Temperature on Viscoelastically damped structure

    K. C. Chang;T. T. Soong;S.‐T. Oh;M. L. Lai

  • Performance of a Seismically Isolated Bridge under Near-Fault Earthquake Ground Motions

    Jerry Shen;Meng-Hao Tsai;Kuo-Chun Chang;George C. Lee

  • Flood scour monitoring system using fiber Bragg grating sensors

    Yung Bin Lin;Jihn Sung Lai;Kuo Chun Chang;Lu Sheng Li

  • Real-time monitoring of local scour by using fiber Bragg grating sensors

    Yung-Bin Lin;Jin-Chong Chen;Kuo-Chun Chang;Jenn-Chuan Chern

  • Seismic behaviour of reinforced concrete frame with added viscoelastic dampers

    K.L. Shen;T.T. Soong;K.C. Chang;M.L. Lai

  • Structural health monitoring of concrete columns subjected to seismic excitations using piezoceramic-based sensors

    Wen-I Liao;J X Wang;G Song;H Gu

  • The health monitoring of a prestressed concrete beam by using fiber Bragg grating sensors

    Yung Bin Lin;Kuo Chun Chang;Jenn Chuan Chern;Lon A Wang

  • Ground Motion Duration Effects on Hysteretic Behavior of Reinforced Concrete Bridge Columns

    Yu-Chen Ou;Jianwei Song;Ping-Hsiung Wang;Leo Adidharma

  • Evaluation of damping reduction factors for estimating elastic response of structures with high damping

    Yu-Yuan Lin;Eduardo Miranda;Kuo-Chun Chang

  • Shaking table tests of a scaled bridge model with rolling-type seismic isolation bearings

    Meng-Hao Tsai;Si-Yi Wu;Kuo-Chun Chang;George C. Lee

  • Viscoelastic dampers as energy dissipation devices for seismic applications

    K. C. Chang;T. T. Soong;M. L. Lai;E. J. Nielsen

  • Packaging methods of fiber-Bragg grating sensors in civil structure applications

    Yung Bin Lin;Kuo Chun Chang;Jenn Chuan Chern;L.A. Wang

  • Full-Scale Viscoelastically Damped Steel Frame

    M. L. Lai;K. C. Chang;T. T. Soong;D. S. Hao

Frequent Co-Authors

Yi-Lung Mo
Yi-Lung Mo University of Houston
Anne S. Kiremidjian
Anne S. Kiremidjian Stanford University
T.T. Soong
T.T. Soong University at Buffalo, State University of New York
Chin-Hsiung Loh
Chin-Hsiung Loh National Taiwan University
Eduardo Miranda
Eduardo Miranda Stanford University
Gangbing Song
Gangbing Song University of Houston

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