임팩트 해머 실험에 의한 주파수 응답 함수를 구함에 있어서 최적 데이터 세트를 구성하기 위한 MS 유사성 함수의 응용

Abstract

Impact hammer testing is the most frequently used and widely adopted method for estimating the frequency response function (FRF). It requires averaging several impact test data to minimize random error. This method requires constant excitation conditions (excitation point, angle, duration, etc.) to be maintained when striking the impact hammer onto a structure. Consequently, choosing the set of data with the same excitation conditions among multiple repeated experimental data is important to obtain the best possible FRF, especially when commercial software is unavailable. In this paper, a method of selecting the optimal impact data set has been proposed using the recently developed the magnitude and shpae (MS) similarity function. The results show that the proposed method estimated the FRF of a structure efficiently with high coherence values.