A platform for research: civil engineering, architecture and urbanism
Wavelet-based generation of spatially correlated accelerograms
Abstract For the seismic analysis of complex or nonlinear extended structures, it is useful to generate a set of properly correlated earthquake accelerograms that are consistent with a specified seismic hazard. A new simulation approach is presented in this paper for the generation of ensembles of spatially correlated accelerograms such that the simulated motions are consistent with (i) a parent accelerogram in the sense of temporal variations in frequency content, (ii) a design spectrum in the mean sense, and (iii) with a given instantaneous coherency structure. The formulation is based on the extension of stochastic decomposition technique to wavelet domain via the method of spectral factorization. A complex variant of the modified Littlewood-Paley wavelet function is proposed for the wavelet-based representation of earthquake accelerograms, such that this explicitly brings out the phase information of the signal, besides being able to decompose it into component time-histories having energy in non-overlapping frequency bands. The proposed approach is illustrated by generating ensembles of accelerograms at four stations.
Highlights A new approach is presented for simulating spatially correlated accelerograms. The formulation extends the stochastic decomposition technique to wavelet domain. A complex variant of the modified Littlewood-Paley wavelet function is proposed. The proposed approach is illustrated by generating ensembles at four stations.
Wavelet-based generation of spatially correlated accelerograms
Abstract For the seismic analysis of complex or nonlinear extended structures, it is useful to generate a set of properly correlated earthquake accelerograms that are consistent with a specified seismic hazard. A new simulation approach is presented in this paper for the generation of ensembles of spatially correlated accelerograms such that the simulated motions are consistent with (i) a parent accelerogram in the sense of temporal variations in frequency content, (ii) a design spectrum in the mean sense, and (iii) with a given instantaneous coherency structure. The formulation is based on the extension of stochastic decomposition technique to wavelet domain via the method of spectral factorization. A complex variant of the modified Littlewood-Paley wavelet function is proposed for the wavelet-based representation of earthquake accelerograms, such that this explicitly brings out the phase information of the signal, besides being able to decompose it into component time-histories having energy in non-overlapping frequency bands. The proposed approach is illustrated by generating ensembles of accelerograms at four stations.
Highlights A new approach is presented for simulating spatially correlated accelerograms. The formulation extends the stochastic decomposition technique to wavelet domain. A complex variant of the modified Littlewood-Paley wavelet function is proposed. The proposed approach is illustrated by generating ensembles at four stations.
Wavelet-based generation of spatially correlated accelerograms
Sarkar, Kaushik (author) / Gupta, Vinay K. (author) / George, Riya C. (author)
Soil Dynamics and Earthquake Engineering ; 87 ; 116-124
2016-05-09
9 pages
Article (Journal)
Electronic Resource
English
Wavelet-based generation of spatially correlated accelerograms
Online Contents | 2016
|Wavelet-based generation of spatially correlated accelerograms
British Library Online Contents | 2016
|TECHNICAL PAPERS - Synthesizing Ensembles of Spatially Correlated Accelerograms
Online Contents | 1998
|Wavelet-based simulation of spectrum-compatible aftershock accelerograms
Online Contents | 2008
|