Simulation of Earthquake Motion from Phase Information
Tadanobu Sato, Yoshitaka MURONO
Abstract
Tadanobu Sato, Yoshitaka MURONO
Abstract
We developed a method based on the concept of wavelet transformation to simulate earthquake motion that uses phase spectra of earthquake motions. By using Mayer’s analyzing wavelet a simultaneous linear equation was derived from which the relative values of wavelet coefficients can be determined from the phase spectrum on each compact support of a scale function. The relationship between the power of earthquake motions and the wavelet coefficients on each compact support was used to determine the absolute values of wavelet coefficients. The efficiency of the proposed method was investigated by comparing resimulated with observed earthquake motion. A stochastic model with which to simulate the phase spectrum is proposed that is based on the concept of group delay time. A sample phase spectrum simulated by this stochastic model was used to simulate an artificial earthquake motion based on the proposed method.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We developed a method based on the concept of wavelet transformation to simulate earthquake motion that uses phase spectra of earthquake motions. By using Mayer’s analyzing wavelet a simultaneous linear equation was derived from which the relative values of wavelet coefficients can be determined from the phase spectrum on each compact support of a scale function. The relationship between the power of earthquake motions and the wavelet coefficients on each compact support was used to determine the absolute values of wavelet coefficients. The efficiency of the proposed method was investigated by comparing resimulated with observed earthquake motion. A stochastic model with which to simulate the phase spectrum is proposed that is based on the concept of group delay time. A sample phase spectrum simulated by this stochastic model was used to simulate an artificial earthquake motion based on the proposed method.
Key concepts: Wavelet, Transformation (genetics), Phase (matter), Spectral density, Motion (physics), Function (biology), Geology, Statistical physics