Movable-track nonlinear energy sinks with customizable restoring forces

IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Jingjing Wang , Yuqiang Zheng , Yuhong Ma
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引用次数: 0

Abstract

This study introduces movable-track nonlinear energy sinks (MT-NESs) featuring customizable restoring forces. MT-NESs employ a novel track-spring configuration where the track parts themselves act as the movable mass, significantly reducing device dimensions and weight. The paper commences with the development of MT-NESs. A small-scale MT-NES is then experimentally realized on a two-story structure under impulsive excitation, validating the accuracy of the numerical model. Subsequently, a design example for seismic protection of the structure is presented, where the track shape, and thus the restoring force of the MT-NES, is designed for specific structure and excitation conditions. Comparative analyses with counterpart devices under seismic and impulsive excitations demonstrate the robust performance of the designed MT-NES, which closely aligns with the design objectives. This study underscores the flexibility of MT-NESs in generating customizable restoring forces within a compact configuration, positioning them as effective solutions for addressing control challenges beyond the capabilities of conventional mass dampers.
具有可定制恢复力的动轨非线性能量汇
本研究介绍了具有可定制恢复力的可移动轨道非线性能量汇(MT-NES)。MT-NES 采用新颖的轨道弹簧配置,轨道部件本身充当可移动质量,从而大大减小了设备的尺寸和重量。本文首先介绍 MT-NES 的开发。然后,在一个两层结构上进行了脉冲激励下的小型 MT-NES 实验,验证了数值模型的准确性。随后,介绍了结构抗震保护的设计实例,其中轨道形状以及 MT-NES 的恢复力是根据特定结构和激励条件设计的。在地震和脉冲激励条件下与同类设备进行的对比分析表明,所设计的 MT-NES 性能稳健,与设计目标十分吻合。这项研究强调了 MT-NES 在紧凑配置中产生可定制恢复力的灵活性,使其成为应对传统质量阻尼器能力之外的控制挑战的有效解决方案。
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
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