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Region Specific Ground-Motion Predictive Models for Shallow Active Regions

İçen, Abdullah / Sandikkaya, M. Abdullah

Using a global dataset, we propose a series of ground-motion predictive models for acceleration response spectra. The proposed models include regional adjustments to source, path, and site terms with nonlinear soil behavior. The regression coefficients are computed using linear and nonlinear mixed-effect regression algorithms. Furthermore, we develop heteroscedastic variability models for between-event, site-to-site, and single-site standard deviations. The between-event sigma model depends solely on magnitude, but the single-site standard deviation model depends on both magnitude and distance. Finally, the site-to-site standard deviation model is given in terms of V_S30 and spectral acceleration at rock site condition.

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Region Specific Ground-Motion Predictive Models for Shallow Active Regions

İçen, Abdullah / Sandikkaya, M. Abdullah

Using a global dataset, we propose a series of ground-motion predictive models for acceleration response spectra. The proposed models include regional adjustments to source, path, and site terms with nonlinear soil behavior. The regression coefficients are computed using linear and nonlinear mixed-effect regression algorithms. Furthermore, we develop heteroscedastic variability models for between-event, site-to-site, and single-site standard deviations. The between-event sigma model depends solely on magnitude, but the single-site standard deviation model depends on both magnitude and distance. Finally, the site-to-site standard deviation model is given in terms of V_S30 and spectral acceleration at rock site condition.

Region Specific Ground-Motion Predictive Models for Shallow Active Regions

İçen, Abdullah / Sandikkaya, M. Abdullah

Using a global dataset, we propose a series of ground-motion predictive models for acceleration response spectra. The proposed models include regional adjustments to source, path, and site terms with nonlinear soil behavior. The regression coefficients are computed using linear and nonlinear mixed-effect regression algorithms. Furthermore, we develop heteroscedastic variability models for between-event, site-to-site, and single-site standard deviations. The between-event sigma model depends solely on magnitude, but the single-site standard deviation model depends on both magnitude and distance. Finally, the site-to-site standard deviation model is given in terms of V_S30 and spectral acceleration at rock site condition.

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Titel:

Region Specific Ground-Motion Predictive Models for Shallow Active Regions

Beteiligte:

İçen, Abdullah (Autor:in) / Sandikkaya, M. Abdullah (Autor:in)

Erschienen in:

Journal of Earthquake Engineering ; 27 ; 4449-4468

Erscheinungsdatum:

18.11.2023

Format / Umfang:

20 pages

ISSN:

1363-2469 , 1559-808X

DOI:

https://doi.org/10.1080/13632469.2023.2167890

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Unbekannt

Schlagwörter:

Ground-motion predictive model , spectral accelerations , heteroscedastic variability , nonlinear site amplification , regional corrections

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