Stochastic simulation of regionalized ground motions using wavelet packets and cokriging analysis

2014 ◽  
Vol 44 (5) ◽  
pp. 775-794 ◽  
Author(s):  
Duruo Huang ◽  
Gang Wang
Keyword(s):  
Stochastic Simulation ◽  
Ground Motions ◽  
Wavelet Packets

scholarly journals ­Stochastic Time Series Prediction Equation Using Wavelet Packets for Iran

2021 ◽  
Author(s):  
Habib Rahimi ◽  
G. Tanircan ◽  
Mohammad Shahvar
Keyword(s):  
Time Series ◽  
Simulation Model ◽  
Stochastic Simulation ◽  
Ground Motion ◽  
Wavelet Packets ◽  
Likelihood Method ◽  
Model Parameters ◽  
Group Model ◽  
Regression Equations ◽  
Stochastic Simulation Model

Abstract In this study, a stochastic simulation model proposed by Yamamoto and Baker (2013), is applied to Iranian strong motion database which comprises more than 3828 recordings for a time period between 1975–2018. Each ground motion is decomposed into wavelet packets. Amplitudes of wavelet packets are divided into two groups and for each group model parameters are estimated using the maximum likelihood method. Regression coefficients are then obtained relating model parameters to seismic characteristics such as earthquake magnitude, distance, and site condition. Inter-event residuals of coefficients and correlation of total residuals of those parameters are also calculated. To reconstruct the amplitudes in time domain and do the simulation, inverse wavelet packet transform is used. Finally, a validation test is performed. The comparison of ground motion intensity measures for recorded and simulated time series shows an acceptable conformity in the application. The estimated parameters using the simulated data are in good agreement with the real data, indicating the acceptable validity of the estimated stochastic simulation model. Obtained regression equations can be used to generate ground motions for the future earthquake scenarios in Iran.

scholarly journals Generation of Uniform Hazard Spectrum Based on the Stochastic Method of Simulating Ground Motion and Its Use in Nuclear Power Plants

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Xueming Zhang ◽  
Weiming Yan ◽  
Haoxiang He ◽  
Yunlun Sun ◽  
Shicai Chen
Keyword(s):  
Stochastic Simulation ◽  
Nuclear Power ◽  
Power Plants ◽  
Hazard Analysis ◽  
Ground Motions ◽  
Site Effect ◽  
Element Model ◽  
Simulation Method ◽  
Stochastic Method ◽  
Uniform Hazard Spectrum

To obtain an accurate uniform hazard spectrum (UHS), this paper proposes combining a stochastic simulation with probabilistic seismic hazard analysis. The stochastic method fully accounts for the effect of the source mechanism, path, and site effect. Historical ground motions in the site specific to the nuclear power plant (NPP) are simulated, and a UHS with an equal exceeding probability is proposed. To compare the seismic performance of the NPP under different ground motions generated by the existing site spectrum (SL-2), the UHS generated by the safety evaluation report, and the US RG1.60 spectrum, respectively, a three-dimensional finite element model is established, and dynamic analysis is performed. Results show that the structural responses to different spectra varied; the UHS response was slightly larger than that of RG1.60. This finding is relatively more reasonable than prior research results. The UHS generated using the stochastic simulation method can provide a reference for the seismic design of NPPs.

scholarly journals Combination of Spectral Representation and Wavelet Packets for Generating Long-Period Ground Motions

2020 ◽  
Vol 2020 ◽  
pp. 1-24
Author(s):  
Minghui Dai ◽  
Yingmin Li
Keyword(s):  
Surface Waves ◽  
High Frequency ◽  
Spectral Representation ◽  
Response Spectrum ◽  
Ground Motions ◽  
Time History ◽  
Wavelet Packets ◽  
Velocity Spectrum ◽  
Long Period ◽  
Frequency Components

Far-field long-period ground motions (hereafter long-period ground motions) featuring low-frequency components are responsible for the resonant responses of high-rise buildings. In this context, it is beneficial to assess the dynamic performance of these buildings under long-period ground motions with the aid of time history analysis. This paper proposes a method for generating long-period motions by combining long-period components synthesized by spectral representation with high-frequency components simulated by wavelet packets. Later-arriving long-period surface waves (LALP surface waves), which are determined on the grounds of phase dispersion, represent the main long-period properties in sense of velocity spectrum at longer periods of interest. An analytical expression for power spectrum density is employed to capture the narrowband properties of LALP velocity surface waves. Meanwhile, modification of the Gaussian random process is performed in time and frequency domains to attain a modulated initial seed motion, which shows the variability of the targeted ground motion. A simulation of high-frequency components is accomplished by means of iteration, in which wavelet coefficients of the modulated seed motion are adjusted to match the targeted response spectrum and cumulative energy plot. Furthermore, comparisons between an ensemble of realizations and target motions demonstrate the feasibility of the proposed method to generate long-period simulations sharing similar properties to target motions.

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