@inproceedings{d0f000adb55b44219508b40f9186443c,
title = "Phase similarity model between element waves of adjacent element faults for simulated ground motion based on the stochastic green's function method",
abstract = "We propose a quantitative phase model to predict element waves of adjacent element faults to simulate ground motion using the stochastic Green's function method. We paired seismic records under the specified conditions of near-identical magnitude and hypocenter depth. To model the acceleration waveform similarities of the seismic record pair, a relationship between the mean value of Fourier amplitudes and an absolute value of Fourier phase difference was represented using a beta distribution. We then derived a regression formula of beta-distribution shape parameters with respect to the distance between the two hypocenters of each pair. Based on the proposed model, a seismic wave was synthesized, along with a calculated RMS error in acceleration response spectra between the synthesized wave and the observed record of the 2016 Kumamoto earthquake. It was confirmed that the proposed model decreased the error successfully.",
keywords = "Element fault, Element wave, Fourier spectrum, Phase, Simulated ground motion, Stochastic Green's function method",
author = "Haruka Yokoyama and Hajime Iwai and Masayuki Kohiyama",
note = "Funding Information: This work was financially supported KAKENHI Grant Number 16H04455. Funding Information: This work was financially supported by JSPS KAKENHI Grant Number 16H04455.; 29th European Safety and Reliability Conference, ESREL 2019 ; Conference date: 22-09-2019 Through 26-09-2019",
year = "2020",
doi = "10.3850/978-981-11-2724-3_0444-cd",
language = "English",
series = "Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019",
publisher = "Research Publishing Services",
pages = "3217--3223",
editor = "Michael Beer and Enrico Zio",
booktitle = "Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019",
}