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Item type:Publication, Machine learning techniques for estimating seismic site amplification in the Santiago basin, Chile(2022) ;J.P. Díaz ;E. Sáez ;M. Monsalve; F. Aron2Scopus© Citations 16 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Scopus© Citations 16 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance-based probabilistic assessment of liquefaction-induced building settlements(2021) ;Chenying Liu ;Jorge Macedo7Scopus© Citations 15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Correlations of spectral accelerations in the Chilean subduction zone(2020); ;Alan Poulos ;Juan Carlos de la Llera ;Jorge G.F. CrempienJorge Macedo<jats:p> The correlation between spectral accelerations is key in the construction of conditional mean spectra, the computation of vector-valued seismic hazard, and the assessment of seismic risk of spatially distributed systems, among other applications. Spectral correlations are highly dependent on the earthquake database used, and thus, region-specific correlation models have been developed mainly for earthquakes in western United States, Europe, Middle East, and Japan. Correlation models based on global data sets for crustal and subduction zones have also become available, but there is no consensus about their applicability on a specific region. This study proposes a new correlation model for 5% damped spectral accelerations and peak ground velocity in the Chilean subduction zone. The correlations obtained were generally higher than those observed from shallow crustal earthquakes and subduction zones such as Japan and Taiwan. The study provides two illustrative applications of the correlation model: (1) computation of conditional spectra for a firm soil site located in Santiago, Chile and (2) computation of bivariate hazard for spectral accelerations at two structural periods. </jats:p>Scopus© Citations 22 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Scopus© Citations 42 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A New State‐of‐the‐Art Platform for Probabilistic and Deterministic Seismic Hazard Assessment(2019); ;Jorge Macedo ;Miguel A. JaimesCarolina Magna‐Verdugo<jats:title>ABSTRACT</jats:title><jats:p>A new computational platform for seismic hazard assessment is presented. The platform, named SeismicHazard, allows characterizing the intensity, uncertainty, and likelihood of ground motions from subduction‐zone (shallow interface and intraslab) and crustal‐zone earthquakes, considering site‐specific as well as regional‐based assessments. The platform is developed as an object‐oriented MATLAB graphical user interface, and it features several state‐of‐the‐art capabilities for probabilistic and deterministic (scenario‐based) seismic hazard assessment. The platform integrates the latest developments in performance‐based earthquake engineering for seismic hazard assessment, including seismic zonation models, ground‐motion models (GMMs), ground‐motion correlation structures, and the estimation of design spectra (uniform hazard spectra, classical conditional mean spectrum (CMS) for a unique tectonic setting). In addition to these standard capabilities, the platform supports advanced features, not commonly found in existing seismic hazard codes, such as (a) computation of source parameters from earthquake catalogs, (b) vector‐probabilistic seismic hazard assessment, (c) hazard evaluation based on conditional GMMs and user‐defined GMMs, (d) uncertainty treatment in the median ground motions through continuous GMM distributions, (e) regional shaking fields, and (f) estimation of CMS considering multiple GMMs and multiple tectonic settings. The results from the platform have been validated against accepted and well‐documented benchmark solutions.</jats:p>Scopus© Citations 39 8