基于相互作用关系的可更换波纹钢板组合剪力墙抗震性能分析

IF 5.1 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Qirui Luo, Wei Wang, Shixing Zhao, Min Zhang, Shuheng Yang
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引用次数: 0

摘要

可替换系统,包括主要结构和组件,是建设弹性城市的主要手段。然而,由于相互作用关系复杂,这种结构体系的耗能效果并不理想。因此,本研究以可更换波纹钢板组合剪力墙为例,重点对各构件的抗震性能和耗能比进行分析。我们试图找到一个合适的刚度比指标来确定可更换波纹钢板剪力墙的相互作用关系。提出了一种基于刚度比指标的消能评价方法,并对剪力墙承载力公式进行了修正。结果表明,基于耗能评价的横向承载力修正公式具有较好的精度,可为实际工程应用提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Seismic Performance Analysis of Replaceable Corrugated Steel Plate Composite Shear Walls Based on Interaction Relationships

Seismic Performance Analysis of Replaceable Corrugated Steel Plate Composite Shear Walls Based on Interaction Relationships

Replaceable systems, including the main structure and components, are the primary means of building a resilient city. However, due to the complex interaction relationships, the energy-dissipation effect of such structural systems is not ideal. Accordingly, this study used a replaceable corrugated steel plate composite shear wall as an example, focusing on the seismic performance and energy-dissipation ratio analyses of each component. We attempted to find a suitable stiffness ratio index to determine the interaction relationship of the replaceable corrugated steel plate shear wall. An energy-dissipation evaluation method is proposed based on the stiffness ratio index, and the bearing-capacity formula of the shear wall was modified. The results show that the revised lateral-bearing-capacity formula based on the energy dissipation evaluation exhibited ideal accuracy and could provide a reference for practical engineering applications.

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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring 工程技术-工程:土木
CiteScore
9.50
自引率
13.00%
发文量
234
审稿时长
8 months
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.
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