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Experimental Investigation of the Excitation Level in System Identification of Frame Structures Using Linear Shakers

机译:使用线性振动器系统识别系统识别激发水平的实验研究

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This paper presents an investigation of the relationships between excitation level and estimated dynamic properties in system identification of structures using the forced vibration technique. Investigation was experimentally performed using a frame structure and a stepper motor at the Johns Hopkins University. Random excitation technique and the Eigensystem Realization Algorithm are employed to estimate dynamic properties of the structure. Excitation level is referenced to the signal-tonoise ratio of structural response. The confidence level of the estimated properties is evaluated at each natural frequency based on the coherence function. The experimental results showed that the accuracy and confidence level of the estimated properties vary in vibration mode. In the case study of a frame structure, the confidence level of the first mode is always lower than those in the higher modes. The results also showed that the accuracy and confidence level can be improved by the increase in excitation level. In particular, significant increase in the confidence level can be achieved for the higher vibration modes even by a small increase in excitation level.
机译:本文介绍了使用强制振动技术在系统识别系统识别中激发水平与估计动态特性的研究。在Johns Hopkins大学使用框架结构和步进电机进行了实验进行了调查。随机激励技术和Eigensystem实现算法用于估计结构的动态特性。激发水平被引用结构响应的信号 - 温度比。基于相干函数,在每个自然频率下评估估计性质的置信水平。实验结果表明,估计特性的精度和置信水平在振动模式中变化。在帧结构的情况下,第一模式的置信水平总是低于更高模式的置信水平。结果还表明,通过激发水平的增加,可以提高精度和置信水平。特别地,即使通过激发水平的小增加,甚至可以为较高的振动模式实现置信水平的显着增加。

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