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Identification of modal parameters based on moving load excitation

机译:基于运动载荷激励的模态参数识别

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摘要

Abstract It is often desired to measure the model parameters of bridges, but normally the forcing function cannot be measured so it is necessary to use output-only system identification methods. A moving vehicle provides a force on a bridge that could be used for input-output analysis, which could be superior, but the force varies in space as well as time, so existing system identification methods are not directly applicable. To address this issue, this paper proposes a new strategy to use the moving load response to identify the modal parameters. A numerically simulated simply supported Euler-Bernoulli beam of known parameters is used as an example case to test the validity of the approach. Frequency Domain Decomposition is first implemented to extract the mode shapes from the simulated acceleration responses. Then, by applying the mode superposition method, the simulated force and acceleration responses are transformed into modal space. The accelerances of five modes are then processed using the Levenberg-Marquardt method such that the three unknown parameters, namely natural frequency, damping ratio, and modal mass, of each mode are determined simultaneously. The effectiveness of the proposed method is validated by the low percentage errors (less than 1.7%) for all three identified modal parameters compared to their actual values for four of the five modes.
机译:摘要通常需要测量桥梁的模型参数,但是通常无法测量强迫函数,因此有必要使用仅输出的系统识别方法。移动的车辆在桥上提供了一种力,该力可以用于输入输出分析,这种力可能更好,但是力在空间和时间上都会变化,因此现有的系统识别方法不能直接应用。为了解决这个问题,本文提出了一种新的策略来利用运动载荷响应来识别模态参数。以已知参数的数值模拟简单支撑欧拉-伯努利梁为例,测试了该方法的有效性。首先实现频域分解,以从模拟的加速度响应中提取模式形状。然后,通过应用模式叠加方法,将模拟的力和加速度响应转换为模态空间。然后使用Levenberg-Marquardt方法处理五个模式的加速度,以便同时确定每个模式的三个未知参数,即固有频率,阻尼比和模态质量。与五个模式中的四个模式的实际值相比,所有三个已识别模式参数的百分比误差低(小于1.7%),从而验证了所提方法的有效性。

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