Metamaterial-based vibration suppression stories (VSSs) for mitigating train-induced structural vibrations in multi-story and high-rise buildings

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Feifei Sun , Chao Zeng , Wenhan Yin , Jiaqi Wen
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引用次数: 0

Abstract

With the rapid development of urban rail transit systems, the issues of structural vibration and re-radiated noise in adjacent buildings have become increasingly prominent. This paper investigates the feasibility of a novel metamaterial-based Vibration Suppression Stories (VSSs) for mitigating train-induced structural vibrations from the perspective of vibration propagation. A Lumped Parameter Model (LPM) has been developed to accurately predict the dynamic behavior of single-span multi-story and high-rise buildings under vertical ground excitations induced by train operations. The validity of this model has been confirmed through finite element analysis of a 12-story building. Additionally, an in-depth analysis has been conducted on the attenuation zone characteristics of an infinite controlled structure equipped with VSS oscillators. A closed-form analytical expression has been derived to provide insight into the general attenuation behavior of dual-oscillator metamaterials. The results show that the VSSs perform well in the high-frequency range. Furthermore, the local resonance of the beam-restrained floor slabs enhances the vibration attenuation capacity of the VSSs in the frequency range above the slab's natural frequency. To quantitatively evaluate the vibration attenuation performance of the VSS, vibration transmission and response history analyses are performed on a 12-story building equipped with three VSSs. The results indicate that the VSSs significantly suppress target peak responses, particularly for high-frequency global vibrations. This research presents a new and effective approach for addressing train-induced vibration issues in buildings.
基于超材料的振动抑制层(vss)用于减轻多层和高层建筑中列车引起的结构振动
随着城市轨道交通系统的快速发展,相邻建筑的结构振动和再辐射噪声问题日益突出。本文从振动传播的角度研究了一种新型的基于超材料的振动抑制层(vss)用于减轻列车引起的结构振动的可行性。为了准确预测列车运行引起的垂直地面激励下单跨多层和高层建筑的动力特性,建立了集总参数模型(LPM)。通过对一栋12层建筑的有限元分析,验证了该模型的有效性。此外,还对配备VSS振荡器的无限受控结构的衰减带特性进行了深入分析。导出了一个封闭形式的解析表达式,以深入了解双振子超材料的一般衰减行为。结果表明,该系统在高频范围内具有良好的性能。此外,梁约束楼板的局部共振增强了楼板固有频率以上频率范围内vss的减振能力。为了定量评价VSS的减振性能,对一个12层的建筑进行了3个VSS的振动传递和响应历史分析。结果表明,vss显著抑制了目标峰值响应,特别是对高频全局振动。该研究为解决建筑物中列车引起的振动问题提供了一种新的有效方法。
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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