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Simulation and generation of spectrum-compatible ground motions based on wavelet packet method
Abstract This paper deals with the problem of generating spectrum-compatible artificial accelerograms for seismic dynamic analysis of engineering projects. A wavelet-packet-based, two-step procedure for the issue is proposed. The first step is to generate acceleration time history that could account for temporal and frequency non-stationarities of recorded ground motions. The second step is to decompose it into a desired number of wavelet packet vectors with high frequency resolution and non-overlapping frequency contents. Then each wavelet packet vector is scaled suitably and iteratively for the response spectrum of the simulated accelerogram to fit a specified design spectrum. The advantages of this procedure are that it can simulate user-specified acceleration time history with only 6 input parameters and the adjusted accelerogram has similar characteristics to the recorded one. The proposed procedure has been illustrated by simulating and modifying acceleration time history that are compatible with two different design spectrums for nuclear power plants. In addition, iterative efficiency of the method is investigated by simulating and adjusting acceleration time history for 100 successive times. The maximum relative error of the 76 period control points can reach 6% or below. Results show that the proposed method is effective and practical to generate and find spectrum-compatible ground motions with both stochastic and deterministic aspects.
Highlights A method for generating spectrum-compatible accelerograms is proposed. Generated accelerograms capture time and frequency features of real record. The wavelet packet based procedure is flexible to use for engineering practice. The max relative fitting error of spectrum can be as small as around 6% or below.
Simulation and generation of spectrum-compatible ground motions based on wavelet packet method
Abstract This paper deals with the problem of generating spectrum-compatible artificial accelerograms for seismic dynamic analysis of engineering projects. A wavelet-packet-based, two-step procedure for the issue is proposed. The first step is to generate acceleration time history that could account for temporal and frequency non-stationarities of recorded ground motions. The second step is to decompose it into a desired number of wavelet packet vectors with high frequency resolution and non-overlapping frequency contents. Then each wavelet packet vector is scaled suitably and iteratively for the response spectrum of the simulated accelerogram to fit a specified design spectrum. The advantages of this procedure are that it can simulate user-specified acceleration time history with only 6 input parameters and the adjusted accelerogram has similar characteristics to the recorded one. The proposed procedure has been illustrated by simulating and modifying acceleration time history that are compatible with two different design spectrums for nuclear power plants. In addition, iterative efficiency of the method is investigated by simulating and adjusting acceleration time history for 100 successive times. The maximum relative error of the 76 period control points can reach 6% or below. Results show that the proposed method is effective and practical to generate and find spectrum-compatible ground motions with both stochastic and deterministic aspects.
Highlights A method for generating spectrum-compatible accelerograms is proposed. Generated accelerograms capture time and frequency features of real record. The wavelet packet based procedure is flexible to use for engineering practice. The max relative fitting error of spectrum can be as small as around 6% or below.
Simulation and generation of spectrum-compatible ground motions based on wavelet packet method
Li, Yanan (author) / Wang, Guoxin (author)
Soil Dynamics and Earthquake Engineering ; 87 ; 44-51
2016-04-18
8 pages
Article (Journal)
Electronic Resource
English
Simulation and generation of spectrum-compatible ground motions based on wavelet packet method
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