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作 者:Zhipeng LI Xingyu XIANG Teng WU
机构地区:[1]Department of Technological Innovation and Digitalization,China Railway Academy Group Co.,Ltd.,Chengdu 610032,China [2]Department of Construction Project Management,School of Construction Management,Chongqing Jianzhu College,Chongqing 401336,China [3]Department of Civil,Structural and Environmental Engineering,University at Buffalo,Buffalo,NY 14126,USA
出 处:《Frontiers of Structural and Civil Engineering》2025年第2期163-179,共17页结构与土木工程前沿(英文版)
基 金:support provided by the Institute of Bridge Engineering at the University at Buffalo has been invaluable in the completion of this work.
摘 要:The large vibrations of stay cables pose significant challenges to the structural performance and safety of cable-stayed bridges. While magnetorheological dampers (MRDs) have emerged as an effective solution for suppressing these vibrations, establishing accurate forward and inverse mapping models for MRDs to facilitate effective semi-active control of cable vibrations remains a formidable task. To address this issue, the current study proposes an innovative strategy that leverages Long Short-Term Memory (LSTM) neural networks for MRD modeling, thus enhancing semi-active control of stay cable vibrations. A high-fidelity data set accurately capturing the MRD dynamics is first generated by coupling finite element analysis and computational fluid dynamic approach. The obtained data set is then utilized for training LSTM-based forward and inverse mapping models of MRD. These LSTM models are subsequently integrated into dynamic computational models for effectively suppressing the stay cable vibrations, culminating in an innovative semi-active control strategy. The feasibility and superiority of the proposed strategy are demonstrated through comprehensive comparative analyses with existing passive, semi-active and active control methodologies involving sinusoidal load, Gaussian white noise load and rain–wind induced aerodynamic load scenarios, paving the way for novel solutions in semi-active vibration control of large-scale engineered structures.
关 键 词:stay cable vibration magnetorheological damper semi-active control LSTM cable-stayed bridge
分 类 号:O32[理学—一般力学与力学基础]
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