Overview and introduction to development of non-ergodic earthquake ground-motion models

Lavrentiadis, Grigorios (author), Babič, Anže (author), Dolšek, Matjaž (author)

This paper provides an overview and introduction to the development of non-ergodic ground-motion models, GMMs. It is intended for a reader who is familiar with the standard approach for developing ergodic GMMs. It starts with a brief summary of the development of ergodic GMMs and then describes different methods that are used in the development of non-ergodic GMMs with an emphasis on Gaussian process (GP) regression, as that is currently the method preferred by most researchers contributing to this special issue. Non-ergodic modeling requires the definition of locations for the source and site characterizing the systematic source and site effects; the non-ergodic domain is divided into cells for describing the systematic path effects. Modeling the cell-specific anelastic attenuation as a GP, and considerations on constraints for extrapolation of the non-ergodic GMMs are also discussed. An updated unifying notation for non-ergodic GMMs is also presented, which has been adopted by the authors of this issue.

• Language: English
• Keywords: probabilistic seismic hazard analysis, non-ergodic ground-motion model, Gaussian process regression
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FGG - Faculty of Civil and Geodetic Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2023
• Number of pages: Str. 5121-5150
• Numbering: Vol. 21, iss. 11
• PID: 20.500.12556/RUL-140930
• UDC: 624.042.7
• ISSN on article: 1570-761X
• DOI: 10.1007/s10518-022-01485-x
• COBISS.SI-ID: 118590723
• Publication date in RUL: 21.09.2022

Record is a part of a journal

• Title: Bulletin of earthquake engineering
• Publisher: Springer Nature
• ISSN: 1570-761X
• COBISS.SI-ID: 897639

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: verjetnostna analiza potresne nevarnosti, neergodični model gibanja tal, regresija z Gaussovimi procesi

Projects

• Funder: Pacifc Gas and Electric Company

• Funder: California Department of Transportation