基于局部振动测量的索张力估计方法的广泛现场验证和相应的数值研究

IF 5.4 2区 工程技术
Chien-Chou Chen, Wen-Hwa Wu, Yi-Pei Ko, Gwolong Lai
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引用次数: 0

摘要

为了全面评估采用局部振动测量的张力估计方法的适用性,本研究工作致力于系统地研究不同电缆的适当测量覆盖范围。三座斜拉桥特意选择了四根电缆,以覆盖较宽的电缆长细参数范围。对这些斜拉索进行了有限元模型数值分析和现场实测验证,结果表明,随着斜拉索长细度的增大,局部测量的覆盖范围无疑会减小。对于较短的电缆,其长细比参数为4000数量级,采用1/3的覆盖足以保持较高的精度,误差不超过1%。此外,1/4、1/6和1/7的覆盖范围足以使长细参数分别为30000、55000和80000数量级的较长电缆保持相同的精度水平。通过本研究提供的可靠验证,可以自信地减少采用局部振动测量的简化方法的电缆覆盖范围,从而大大减轻在高端附近安装传感器的费用和繁重工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extensive Field Validations and Corresponding Numerical Investigations for a Cable Tension Estimation Method Based on Local Vibration Measurements
To assess the applicability of the tension estimation method using local vibration measurements in a thorough manner, this research work is devoted to systematically investigate the appropriate covering ranges of measurements for different cables. Four cables of three cable-stayed bridges are deliberately chosen to cover a wide range of the cable slenderness parameter. Numerical analyses with finite element models and field validations with real measurements are conducted for these stay cables to demonstrate that the covering range of local measurements can be undoubtedly reduced with the increase of cable slenderness. For a relatively short cable with the slenderness parameter at the order of 4000, the adoption of 1/3 coverage is sufficient to keep a high-level accuracy with at most 1% of error. Besides, 1/4, 1/6, and 1/7 coverages are found adequate to maintain the same level of accuracy for longer cables with the slenderness parameter at the orders of 30000, 55000, and 80000, respectively. With the solid validations presented in the current study, the covering range of the cable for this simplified method employing local vibration measurements can be confidently reduced to greatly alleviate the expense and hard work of sensor installation near the high end.
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来源期刊
Structural Control & Health Monitoring
Structural Control & Health Monitoring Engineering-Building and Construction
自引率
13.00%
发文量
0
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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