Region Specific Ground-Motion Predictive Models for Shallow Active Regions

İçen A., SANDIKKAYA M. A.

Journal of Earthquake Engineering, vol.27, no.15, pp.4449-4468, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 27 Issue: 15
  • Publication Date: 2023
  • Doi Number: 10.1080/13632469.2023.2167890
  • Journal Name: Journal of Earthquake Engineering
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.4449-4468
  • Keywords: Ground-motion predictive model, spectral accelerations, heteroscedastic variability, nonlinear site amplification, regional corrections
  • Hacettepe University Affiliated: Yes

Abstract

© 2023 Taylor & Francis Group, LLC.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 VS30 and spectral acceleration at rock site condition.