Time-domain dimension-reduction modeling of ground motion processes

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (6) : 311-319.

RUAN Xinxin1,2， LIU Zhangjun2， JIANG Yunmu2

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Abstract

Modeling of ground motion is the basis of stochastic seismic response and dynamic reliability analysis of engineering structures. To this end, a new time-domain dimension-reduction model of ground motion process was proposed, and the values of deterministic parameters and the probability distribution of random parameters in the model were suggested. Firstly, based on the basic theory of time-domain representation of stationary process, time-domain representation forms of stationary and non-stationary ground motion processes were derived. By introducing the idea of dimension reduction of random functions, time-domain dimension-reduction representation of ground motion processes was realized. Meanwhile, based on the measured strong motion records, the parameter identification method of the time-domain dimension-reduction model of ground motion was given, and then the deterministic values or probability distributions of the basic parameters in the model were obtained. Finally, the dimension-reduction simulation analysis of the ground motion process was carried out and compared with the response spectrum and Fourier amplitude spectrum of the measured strong motion records. The results show that the time-domain dimension-reduction model of ground motion process has good accuracy, convergence and engineering applicability, and the representative ground motion time history generated can reflect the natural variability of ground motion.

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nonstationary ground motion / time-domain representation / dimension-reduction modeling / parameter identification / natural variability

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RUAN Xinxin1,2， LIU Zhangjun2， JIANG Yunmu2. Time-domain dimension-reduction modeling of ground motion processes[J]. Journal of Vibration and Shock, 2024, 43(6): 311-319

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