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- 저자 : Tse-Chuan Tseng (검색결과 1 건)
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Chang-Sheng Lin,Tse-Chuan Tseng 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.6
Modal Identification from response data only is studied for structural systems under nonstationary ambient vibration. The topic of thispaper is the estimation of modal parameters from nonstationary ambient vibration data by applying the random decrement algorithm withtime-varying threshold level. In the conventional random decrement algorithm, the threshold level for evaluating randomdec signatures isdefined as the standard deviation value of response data of the reference channel. The distortion of randomdec signatures may be, however,induced by the error involved in noise from the original response data in practice. To improve the accuracy of identification, amodification of the sampling procedure in random decrement algorithm is proposed for modal-parameter identification from the nonstationaryambient response data. The time-varying threshold level is presented for the acquisition of available sample time history to performaveraging analysis, and defined as the temporal root-mean-square function of structural response, which can appropriately describea wide variety of nonstationary behaviors in reality, such as the time-varying amplitude (variance) of a nonstationary process in a seismicrecord. Numerical simulations confirm the validity and robustness of the proposed modal-identification method from nonstationary ambientresponse data under noisy conditions.
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