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<p>Suspended ancient timber structures, characterized by complex construction and unique load-transfer mechanisms, are prone to pronounced dynamic responses under pedestrian walking loads. This study aims to systematically investigate the structural responses from both deterministic and stochastic perspectives. Graded vertical loading tests were conducted to reveal the mechanical behavior and safety redundancy of the structure under pedestrian loads. Based on a stochastic load model, a comprehensive crowd–structure interaction model was developed by incorporating step-frequency synchronization, spatial coherence, and weak crowd–structure coupling effects, enabling accurate prediction of vibration responses. Monte Carlo simulations were employed to evaluate dynamic responses and explore the nonlinear relationship between pedestrian numbers and structural behavior. A parametric prediction model with 95% accuracy was established, allowing reliable response prediction and safety warning. Finally, safety prediction and graded pedestrian control strategies are proposed to support refined protection, intelligent monitoring, and visitor management of such heritage structures.</p>

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Dynamic response prediction and safety assessment of suspended ancient wooden structures under tourist-induced pedestrian loads

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月24日

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  • Ruiling Zhang,
  • Miaole Hou,
  • Xianglei Liu,
  • Youqiang Dong,
  • Junxiao He,
  • Yang Deng,
  • Jingshu Wu,
  • Xiaobin Bai

摘要

Suspended ancient timber structures, characterized by complex construction and unique load-transfer mechanisms, are prone to pronounced dynamic responses under pedestrian walking loads. This study aims to systematically investigate the structural responses from both deterministic and stochastic perspectives. Graded vertical loading tests were conducted to reveal the mechanical behavior and safety redundancy of the structure under pedestrian loads. Based on a stochastic load model, a comprehensive crowd–structure interaction model was developed by incorporating step-frequency synchronization, spatial coherence, and weak crowd–structure coupling effects, enabling accurate prediction of vibration responses. Monte Carlo simulations were employed to evaluate dynamic responses and explore the nonlinear relationship between pedestrian numbers and structural behavior. A parametric prediction model with 95% accuracy was established, allowing reliable response prediction and safety warning. Finally, safety prediction and graded pedestrian control strategies are proposed to support refined protection, intelligent monitoring, and visitor management of such heritage structures.