Parameter prediction model of Clough-Penzien power spectrums considering random effects and ground motion synthesis
DING Jiawei1,2, L Dagang1,2, CAO Zhenggang1,2
1.Key Lab of Structures Dynamic Behavior and Control of China Ministry of Education, Harbin Institute of Technology, Harbin 150090, China;
2.Key Lab of Smart Prevention and Mitigation of Civil Engineering Disaster of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150090, China
Abstract：There have existed many investigations on the prediction equations of typical ground motion parameters, such as PGA, PGV, SAS, IA, DS, among other. However, there has been little research on prediction equations of power spectrum model parameters, which represent ground motion frequency-spectrum characteristics. In view of the close relationships between the spectral characteristics of ground motions and source characteristics, propagation path and site conditions, a prediction model of Clough-Penzien power spectrum model parameters is established in this paper based on the physical mechanism of ground motion propagation. In order to better describe the correlation between different records of different seismic events, considering the random effect of the model, the prediction random effect model of spectral parameters is established. The improved one-time iterative regression algorithm of random effects is used to conduct regression analysis on the prediction random effect models of various parameters of Clough-Penzien power spectrum model of various sites, and the model coefficients are determined. Finally, combing with the physical propagation model of phase spectrum and the prediction model of Clough-Penzien power spectrum parameters proposed in this paper, a random function model of "source propagation-site" physical propagation mechanism is constructed. It is shown by a practical example that the prediction equation model of spectral parameters proposed in this paper fits well with the actual power spectrum, and the time-frequency characteristics of the simulated seismic records are very close to those of the original seismic records, so it is helpful to seismic hazard, fragility, and risk analysis as well as seismic design and evaluation of engineering structures.
丁佳伟1,2，吕大刚1,2，曹正罡1,2. 考虑随机效应的Clough-Penzien功率谱参数预测模型及地震动合成[J]. 振动与冲击, 2023, 42(14): 260-269.
DING Jiawei1,2, L Dagang1,2, CAO Zhenggang1,2. Parameter prediction model of Clough-Penzien power spectrums considering random effects and ground motion synthesis. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(14): 260-269.
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