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Identification of modal parameters based on moving load excitation

机译:基于移动负载激励的模态参数识别

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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:通常希望测量桥梁的模型参数,但通常无法测量强制功能,因此必须使用仅输出的系统识别方法。移动车辆在桥上提供可用于输入输出分析的桥梁,这可能是优越的,但力量在空间内变化,因此现有的系统识别方法不可直接适用。为解决此问题,本文提出了一种使用移动负载响应来识别模态参数的新策略。使用数值模拟的简单支持的已知参数的Euler-Bernoulli光束作为测试方法的有效性的示例性情况。首先实现频域分解以从模拟加速度响应中提取模式形状。然后,通过应用模式叠加方法,模拟力和加速度响应被转换为模态空间。然后使用Levenberg-Marquardt方法处理五种模式的加速,使得同时确定三种未知参数,即固有频率,阻尼比和模态质量的每个模式。与所有三种模式的实际值相比,所有三种识别的模态参数的低百分比误差(小于1.7%)验证了所提出的方法的有效性。

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