Logo Kérwá
 

Selection of Ground Motion Prediction Models for Subduction Zones in Costa Rica

dc.creatorHidalgo Leiva, Diego Antonio
dc.creatorPiedra Ampie, Rosey
dc.creatorEsquivel Salas, Luis Carlos
dc.creatorCliment Martín, Álvaro
dc.date.accessioned2023-05-22T20:00:18Z
dc.date.available2023-05-22T20:00:18Z
dc.date.issued2022
dc.description.abstractThe selection of the Ground Motion Prediction Models (GMPM) is a key task for any seismic hazard analysis. The Interface and Intraslab subduction zones of Costa Rica are considered in this research. For the first time, a database with more than 1700 strong ground motion records, exclusively from Costa Rica, is used to check the model-data fitting. A set of GMPM is proposed for each tectonic region, also weights for the logic tree analysis are proposed. The selection process and the assignation of weights use the distribution and trends of the residuals, the likelihood, and the log-likelihood approach.es
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Instituto Investigaciones en Ingeniería (INII)es
dc.description.sponsorshipUniversidad de Costa Rica/[731-B9-780]/UCR/Costa Ricaes
dc.identifier.codproyecto731-B9780
dc.identifier.urihttps://hdl.handle.net/10669/89271
dc.language.isoeng
dc.rightsacceso abierto
dc.source12th National Conference on Earthquake Engineering, Salt Lake City, Utah.es
dc.subjectSOILSes
dc.subjectPROBABILITY THEORYes
dc.subjectSEISMICITYes
dc.subjectEARTHQUAKESes
dc.subjectNATURAL DISASTERSes
dc.titleSelection of Ground Motion Prediction Models for Subduction Zones in Costa Ricaes
dc.typecomunicación de congresoes

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Hidalgo‐Leiva et al. - 2022 - Selection of Ground Motion Prediction Models for Subduction Zones in Costa Rica.pdf
Size:
317.81 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
3.5 KB
Format:
Item-specific license agreed upon to submission
Description: