Phase similarity model between element waves of adjacent element faults for simulated ground motion based on the stochastic green's function method

Haruka Yokoyama; Hajime Iwai; Masayuki Kohiyama

doi:10.3850/978-981-11-2724-3_0444-cd

Phase similarity model between element waves of adjacent element faults for simulated ground motion based on the stochastic green's function method

Haruka Yokoyama, Hajime Iwai, Masayuki Kohiyama

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019
Editors	Michael Beer, Enrico Zio
Publisher	Research Publishing Services
Pages	3217-3223
Number of pages	7
ISBN (Electronic)	9789811127243
DOIs	https://doi.org/10.3850/978-981-11-2724-3_0444-cd
Publication status	Published - 2020
Event	29th European Safety and Reliability Conference, ESREL 2019 - Hannover, Germany Duration: 2019 Sep 22 → 2019 Sep 26

Publication series

Name	Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019

Conference

Conference	29th European Safety and Reliability Conference, ESREL 2019
Country	Germany
City	Hannover
Period	19/9/22 → 19/9/26

Keywords

Element fault
Element wave
Fourier spectrum
Phase
Simulated ground motion
Stochastic Green's function method

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality
Safety Research

Access to Document

10.3850/978-981-11-2724-3_0444-cd

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Cite this

Yokoyama, H., Iwai, H., & Kohiyama, M. (2020). Phase similarity model between element waves of adjacent element faults for simulated ground motion based on the stochastic green's function method. In M. Beer, & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 (pp. 3217-3223). (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019). Research Publishing Services. https://doi.org/10.3850/978-981-11-2724-3_0444-cd

Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. ed. / Michael Beer; Enrico Zio. Research Publishing Services, 2020. p. 3217-3223 (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yokoyama, H, Iwai, H & Kohiyama, M 2020, Phase similarity model between element waves of adjacent element faults for simulated ground motion based on the stochastic green's function method. in M Beer & E Zio (eds), Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019, Research Publishing Services, pp. 3217-3223, 29th European Safety and Reliability Conference, ESREL 2019, Hannover, Germany, 19/9/22. https://doi.org/10.3850/978-981-11-2724-3_0444-cd

Yokoyama H, Iwai H, Kohiyama M. Phase similarity model between element waves of adjacent element faults for simulated ground motion based on the stochastic green's function method. In Beer M, Zio E, editors, Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. Research Publishing Services. 2020. p. 3217-3223. (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019). https://doi.org/10.3850/978-981-11-2724-3_0444-cd

Yokoyama, Haruka ; Iwai, Hajime ; Kohiyama, Masayuki. / Phase similarity model between element waves of adjacent element faults for simulated ground motion based on the stochastic green's function method. Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. editor / Michael Beer ; Enrico Zio. Research Publishing Services, 2020. pp. 3217-3223 (Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019).

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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.",

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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",

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N2 - 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.

AB - 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.

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KW - Stochastic Green's function method

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