The Parameter Identification of Structure with TMD considering Seismic Soil-Structure Interaction

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Shutong Liu, Haochen Li, Song Tang, Jinlun Xie, Shutong Yang, Peizhen Li
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Abstract

Parameter identification is of great significance for the postearthquake performance evaluation of structure equipped with tuned mass damper (TMD). However, the soil-structure interaction (SSI) effects have not been considered in the parameter identification of structure with TMD yet, which influence the dynamic characteristics and seismic responses of structures. This paper aims at proposing a framework for identifying the physical parameters of soil-structure-TMD system. Firstly, the accelerated particle swarm optimization (APSO) algorithm is combined with the search space reduction (SSR) method. Then, the frequency response function and transmissibility function are adopted for output-input and input-only cases, respectively, and a simplified mechanical model for soil-structure-TMD system is employed. Next, the measured responses are used to identify the physical parameters of structure with TMD considering SSI effects. Finally, the effectiveness of the proposed identification method is investigated, and the influences of frequency band and noise pollution on the identification performance are discussed. The results show that the proposed strategy can identify the system physical parameters accurately and quickly. It is worth noting that high frequency bands and noise pollution may lead to estimation error, especially for output-only case.

Abstract Image

考虑地震土-结构相互作用的 TMD 结构参数识别
参数识别对于装有调谐质量阻尼器(TMD)的结构的震后性能评估具有重要意义。然而,带 TMD 结构的参数识别尚未考虑土-结构相互作用(SSI)效应,这些效应会影响结构的动力特性和地震响应。本文旨在提出一种识别土-结构-TMD 系统物理参数的框架。首先,将加速粒子群优化(APSO)算法与搜索空间缩小(SSR)方法相结合。然后,在输出-输入和仅输入的情况下分别采用频率响应函数和传递率函数,并采用简化的土壤-结构-TMD 系统力学模型。然后,考虑到 SSI 的影响,利用测量到的响应来识别带有 TMD 的结构的物理参数。最后,研究了所提识别方法的有效性,并讨论了频段和噪声污染对识别性能的影响。结果表明,所提出的策略能够准确、快速地识别系统物理参数。值得注意的是,高频段和噪声污染可能会导致估计误差,尤其是在仅输出的情况下。
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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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