基于现场测量数据的大跨度桥梁涡力识别

IF 4.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Structural Control & Health Monitoring Pub Date : 2023-12-15 DOI:10.1155/2023/9361196
S. J. Jiang, Y. L. Xu, J. Zhu, G. Q. Zhang, D. H. Dan
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引用次数: 0

摘要

大跨度桥梁的旋涡诱导力(VIF)识别和建模通常是通过风洞中的气动弹性断面模型试验进行的。然而,风洞模型试验存在固有的不确定性,因此根据风洞试验结果设计的实际大跨度桥梁仍会发生涡致振动(VIV)。本文提出了一个基于现场测得的风速和加速度数据的大跨度桥梁 VIF 识别框架。该框架由四个步骤组成:(1) 使用变异模态分解 (VMD) 方法分解现场测量的加速度响应时间历程;(2) 使用频域积分 (FDI) 方法获得速度和位移响应时间历程;(3) 建立和更新有限元模型并识别桥梁的广义 VIF 时间历程;以及 (4) 识别多项式 VIF 模型中的参数并确定最合适的 VIF 模型。最后,将所提出的框架应用于最近发生 VIV 事件的真实悬索桥。结果表明,所提出的框架可以从现场测量的加速度和风力数据中准确识别出作用于桥梁的广义 VIF,并且推导出的最合适 VIF 模型可以产生与测量值几乎相同的涡流诱导响应(VIR)。
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Vortex-Induced Force Identification of a Long-Span Bridge Based on Field Measurement Data

Vortex-induced force (VIF) identification and modelling of a long-span bridge are often conducted in terms of aeroelastic sectional model tests in wind tunnels. However, there are uncertainties inherent in wind tunnel model tests so that vortex-induced vibration (VIV) still occurs in real long-span bridges designed according to wind tunnel test results. This paper presents a framework for VIF identification of a long-span bridge based on field-measured wind and acceleration data. The framework is composed of the four steps: (1) decompose field-measured acceleration response time histories using variational mode decomposition (VMD) method; (2) obtain velocity and displacement response time histories using frequency domain integration (FDI) method; (3) establish and update the finite element model and identify the generalized VIF time histories of the bridge; and (4) identify the parameters in the polynomial VIF models and decide the most suitable VIF model. The proposed framework is finally applied to a real suspension bridge with a recent VIV event. The results show that the proposed framework can accurately identify the generalized VIF acting on the bridge from the field-measured acceleration and wind data, and the derived most suitable VIF model can produce almost the same vortex-induced response (VIR) as the measured ones.

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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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