杠杆式铅粘弹性节点阻尼器的减震效果

IF 5.4 2区工程技术

Structural Control & Health Monitoring Pub Date : 2023-10-13 DOI:10.1155/2023/1552150

Mao Ye, Jin Jiang, Jingya Zhou, Wuliang Zhang, Baotao Huang, Ming Wu

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引用次数: 1

摘要

震区基础设施建设通常采用耗能阻尼技术。本研究创新性地提出了一种基于杠杆效应的杠杆式导联粘弹性节点阻尼器(LTLVND)，可以捕捉地震作用下基础设施的微小转动位移。研究了LTLVND的吸能特性及其在地震激励下对结构动力的减缓作用。试验和仿真结果表明，新型铅粘弹性阻尼器(LTLVND)具有良好的耗能效果。最后，对具有ltlvnd的混凝土框架结构进行了抗震分析。包括推覆分析和动态弹塑性分析。结果表明，在适当位置添加ltlvnd可以显著改善结构在地震条件下的性能。

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Seismic Mitigation Effect of Lever-Type Lead Viscoelastic Node Dampers

Energy dissipation damping technology is usually used for infrastructure construction in seismic regions. In this study, a lever-type lead viscoelastic node damper (LTLVND), which can capture small rotational displacements of the infrastructure under seismic excitation, is innovatively proposed based on the leverage effect. The characteristics of energy-absorbing capacity of the LTLVND and its mitigation effect on the dynamics of the structure under seismic excitation are studied. Testing and modelling results show that a satisfactory energy dissipation effect can be observed for the innovative lead viscoelastic damper (LTLVND). Finally, a seismic analysis of a concrete frame structure with LTLVNDs is carried out. Pushover analysis and dynamic elastoplastic analysis are included. It is shown that a significant improvement in structural performance under seismic conditions can be achieved with the addition of LTLVNDs at appropriate locations.

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来源期刊

Structural Control & Health Monitoring Engineering-Building and Construction

自引率

13.00%

发文量

期刊介绍： The Journal Structural Control and Health Monitoring encompasses all theoretical and technological aspects of structural control, structural health monitoring theory and smart materials and structures. The journal focuses on aerospace, civil, infrastructure and mechanical engineering applications. Original contributions based on analytical, computational and experimental methods are solicited in three main areas: monitoring, control, and smart materials and structures, covering subjects such as system identification, health monitoring, health diagnostics, multi-functional materials, signal processing, sensor technology, passive, active and semi active control schemes and implementations, shape memory alloys, piezoelectrics and mechatronics. Also of interest are actuator design, dynamic systems, dynamic stability, artificial intelligence tools, data acquisition, wireless communications, measurements, MEMS/NEMS sensors for local damage detection, optical fibre sensors for health monitoring, remote control of monitoring systems, sensor-logger combinations for mobile applications, corrosion sensors, scour indicators and experimental techniques.