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This study developed both analytical and experimental substructures to perform real-time hybrid simulation (RTHS) for floating bridge systems subjected to wind and wave loads. The upper structure influenced by wind loads is physically tested using a scaled model in a wind tunnel, while the lower structure subjected to wave loads is modeled analytically. The wind loads are measured with a 6-axis load cell, and the corresponding target displacements are calculated assuming rigid body motion. These real-time responses are computed in MATLAB Simulink and applied to the experimental substructure mounted on a 6-degree-of-freedom (DOF) actuating system. The 6-DOF actuating system is controlled using the Speedgoat real-time target machine and the adaptive time series (ATS) compensator. This study proposes a method for experimentally analyzing the dynamic response of the pontoon-bridge pylon system using RTHS.

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Development of a 6-DOF Actuating System for Implementing Real-Time Hybrid Simulation of Floating Bridge Systems Under Wind and Wave Loads

  • 会议论文

  • 发表日期：

    2025年

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  • Giheon You,
  • Minyeop Kim,
  • Yunbyeong Chae

摘要

This study developed both analytical and experimental substructures to perform real-time hybrid simulation (RTHS) for floating bridge systems subjected to wind and wave loads. The upper structure influenced by wind loads is physically tested using a scaled model in a wind tunnel, while the lower structure subjected to wave loads is modeled analytically. The wind loads are measured with a 6-axis load cell, and the corresponding target displacements are calculated assuming rigid body motion. These real-time responses are computed in MATLAB Simulink and applied to the experimental substructure mounted on a 6-degree-of-freedom (DOF) actuating system. The 6-DOF actuating system is controlled using the Speedgoat real-time target machine and the adaptive time series (ATS) compensator. This study proposes a method for experimentally analyzing the dynamic response of the pontoon-bridge pylon system using RTHS.