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An innovative approach for conducting experimental modal analysis (EMA) in running harmonic for structural modal identification

机译:一种在运行谐波中进行实验模态分析(EMA)的创新方法,用于结构模态识别

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This paper presents a novel approach for performing Experimental Modal Analysis (EMA) in running harmonics using the well-established Time Synchronous Averaging (TSA) technique coupled with a newly developed automatic driving impact system. A combination of an electromechanical linear solenoid and force sensor was employed to deliver periodical input on the structure. A phase cancellation strategy was adopted within TSA protocol of the output vibration signals to suppress the harmonic component for a sufficient number of block averages. Evaluation of the results obtained via the new approach with respect to conventional EMA showed high resemblance on the dynamic characteristics (i.e. natural frequency, damping ratio and mode shape). As low as 1.06 Hz shift in natural frequency and 0.07% difference in modal damping were obtained at specific mode of vibration, indicating the reliability of the proposed method to be adopted in getting the modal parameter at operational mode. (C) 2020 Elsevier Ltd. All rights reserved.
机译:本文介绍了一种新的方法,用于使用良好的时间同步平均(TSA)技术与新开发的自动驾驶冲击系统的运行谐波进行运行谐波进行实验模态分析(EMA)。机电线性螺线管和力传感器的组合用于在结构上提供周期性输入。在输出振动信号的TSA协议中采用相位取消策略,以抑制足够数量的块平均值的谐波分量。通过新方法对传统EMA获得的结果评估显示对动态特性的高相似(即固有频率,阻尼比和模式形状)。在自然频率的低至1.06赫兹偏移和0.07%的模态阻尼差异在特定的振动模式下获得,表明在运行模式下获取模态参数的所提出的方法的可靠性。 (c)2020 elestvier有限公司保留所有权利。

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