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随机减量时域法是国外七十年代发展起来的模态识别技术。它由随机减量法和依氏时域法组成。其主要原理是在输入未知的情况下,根据实测的随机振动响应得到结构的随机减量特征,然后从随机减量特征识别结构的模态参数:自然频率、阻尼系数和振型。随机减量技术最初是由Cole按单模态发展的,后来Ibrahim将它加以改进,保持了多站信号的相位关系,得到了多站随机减量特征。Ibrahim的时域模态识别法则利用时域的自由衰减响应来识别
Random reduction time domain method is developed in the seventies foreign modal recognition technology. It consists of random reduction method and according to the time domain method. The main principle of this method is to obtain the random decrement of structure based on the measured random vibration response under unknown input. Then the modal parameters of the structure are identified from the random decrement characteristics: natural frequency, damping coefficient and mode shape. Stochastic reduction technique was originally developed by Cole as a single modal. Later, Ibrahim improved it to maintain the phase relationship of multi-station signals and got multi-station random decrement. Ibrahim’s time-domain modal identification rule uses the free-fall response in the time domain to identify