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A composite source model for computing realistic synthetic strong ground motions
Author(s) -
Zeng Yuehua,
Anderson John G.,
Yu Guang
Publication year - 1994
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/94gl00367
Subject(s) - hypocenter , geology , seismology , amplitude , convolution (computer science) , displacement (psychology) , acceleration , fourier transform , pulse (music) , fault (geology) , seismometer , geodesy , physics , optics , computer science , classical mechanics , induced seismicity , psychology , quantum mechanics , machine learning , detector , artificial neural network , psychotherapist
A composite source model is presented for convolution with synthetic Green's functions, in order to synthesize strong ground motions due to a complex rupture process of a large earthquake. Subevents with a power‐law distribution of sizes are located randomly on the fault. Each subevent radiates a displacement pulse with the shape of a Brune's pulse in the far field, at a time determined by a constant rupture velocity propagating from the hypocenter. Thus, all the input parameters have a physical basis. We simulate strong ground motions for event‐station pairs that correspond to records obtained in Mexico by the Guerrero accelerograph network. The synthetic accelerations, velocities, and displacements have realistic amplitudes, durations, and Fourier spectra.