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 diferent 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. Nonergodic modeling requires the defnition of locations for the source and site characterizing the systematic source and site efects; the non-ergodic domain is divided into cells for describing the systematic path efects. Modeling the cell-specifc anelastic attenuation as a GP, and considerations on constraints for extrapolation of the non-ergodic GMMs are also discussed. An updated unifying notation for no

• 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: Author Accepted Manuscript
• Year: 2023
• Number of pages: str. 5121-5150
• Numbering: Letn. 21, št. sept.
• 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: ARRS - Slovenian Research Agency
• Project number: P2-0185
• Name: Potresno inženirstvo