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Parameter Identification of Main Cables of Cable Suspension Structures Based on Vibration Monitoring of Cable: Methodology and Experimental Verification

机译:基于电缆振动监测的电缆悬架结构主电缆参数识别:方法论和实验验证

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摘要

This paper focus on parameter identification of the main cables of cable suspension structures. Based on the dynamic stiffness theory, an inverse analysis characteristic function (IAC function) for identifying the main cable parameters (such as cable tension, moment of inertia, cable length, and mass per unit length) is established. This function allows for the consideration of cable flexural rigidity, sag, inclination, and additional lumped masses sustained by the suspender. The effects of the cable tension and moment of inertia on the IAC function are investigated via a numerical method. On this basis, a method for identifying the two parameters based on the peak-ridges of the IAC function is proposed. The method comprehensively utilizes measured multimode frequencies. It is unnecessary to determine the fundamental frequency and frequency order. A 20-m real cable test with suspended lumped masses is conducted to verify the correctness of the proposed methods. With the increase in the weight of suspended lumped masses, the advantages of the proposed method are more obvious. For operational cable tension less than 50% of the cable breaking tension, the cable moment of inertia is less affected by suspended lumped masses. (C) 2021 American Society of Civil Engineers.
机译:本文侧重于电缆悬架结构主电缆的参数识别。基于动态刚度理论,建立了识别主电缆参数(例如电缆张力,惯性矩,电缆长度和每单位长度)的逆分析特征函数(IAC功能)。该功能允许考虑悬挂器持续的电缆弯曲刚度,下垂,倾斜和额外的集成块。通过数值方法研究了电缆张力和惯性矩对IAC功能的效果。在此基础上,提出了一种用于识别基于IAC函数的峰值脊的两个参数的方法。该方法全面地利用测量的多模频率。不必确定基本频率和频率顺序。进行了20米的实际电缆试验,悬挂块状肿块进行了验证所提出的方法的正确性。随着悬浮物块的重量的增加,所提出的方法的优点更为明显。对于运行电缆张力小于电缆断裂张力的50%,惯性的电缆力矩受到悬浮块的影响较小。 (c)2021年美国土木工程师协会。

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