论文标题：Long short-term memory-enhanced semi-active control of cable vibrations with a magnetorheological damper

期刊：Frontiers of Structural and Civil Engineering

作者：Zhipeng LI , Xingyu XIANG , Teng WU

发表时间：15 Feb 2025

DOI：10.1007/s11709-025-1158-7

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文章亮点/Highlights

斜拉桥作为现代桥梁工程的重要形式，其拉索在风、雨、地震等环境荷载作用下易发生大幅振动，严重威胁桥梁的结构安全和耐久性。磁流变阻尼器（MRD）因其响应速度快、能耗低等优点，成为抑制拉索振动的有效手段。然而，由于MRD的非线性特性和复杂工作环境，建立准确的正逆映射模型以实现高效的半主动控制仍是该领域的研究难点。同时，传统控制方法如被动控制和主动控制存在局限性，难以适应复杂多变的振动工况。

研究团队通过有限元分析（FEA）与计算流体动力学（CFD）的单向耦合数值模型，生成了高保真数据集，能够全面地反映MRD在不同工况下的性能表现。在此基础上，团队采用粒子群优化（PSO）算法对LSTM网络的超参数进行优化，成功构建并训练了MRD的LSTM正逆映射模型。

为进一步验证模型的有效性，研究人员将这些模型整合到拉索动力计算模型中，形成LSTM增强的半主动控制策略，并以南京长江二桥A20拉索为工程背景，对比了正弦荷载、高斯白噪声荷载以及风雨诱导气动荷载三种不同工况下，无控制、被动控制、LQR主动控制及LSTM半主动控制策略的减振效果。结果表明，LSTM增强的半主动控制策略在减振效果上显著优于被动控制，且接近LQR主动控制的效果，同时能耗更低。这项研究为大型工程结构的半主动振动控制提供了新的解决方案。

双杆剪切阀式MRD示意图和磁滞回线

摘要/Abstract

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/Keywords

stay cable vibration; magnetorheological damper; semi-active control; LSTM; cable-stayed bridge

引用信息/Citation Information

Zhipeng LI,Xingyu XIANG, Teng WU. Long short-term memory-enhanced semi-active control of cable vibrations with a magnetorheological damper. Front. Struct. Civ. Eng., 2025, 19(2): 163–179

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https://doi.org/10.1007/s11709-025-1158-7

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