CANDIA AGUSTI, GABRIEL ALFONSO
Preferred name
CANDIA AGUSTI, GABRIEL ALFONSO
Main Affiliation
Email
gcandia@udd.cl
ORCID
0000-0001-9140-1149
Scopus Author ID
36503632200
37 results
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Item type:Publication, Probabilistic Assessment of Liquefaction Induced Building Settlement in Performance-Based Earthquake Engineering(2022); ;Macedo, Jorge ;Liu ChenyingEarthquake Engineering Research Institute4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Ground Motion Correlations from Recorded Mexican Intermediate-depth, Intraslab Earthquakes(2021) ;Miguel A. Jaimes; ;Alhelí S. López-CastañedaJorge Macedo1Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Static earth pressures on a pile supported excavation in Santiago gravel(2019) ;Sebastián López ;Carola SanhuezaScopus© Citations 1 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Holistic rockfall risk assessment in high mountain areas affected by seismic activity: Application to the Uspallata valley, Central Andes, Chile(2023) ;Manon Farvacque ;Nicolas Eckert; ;Franck BourrierChristophe Corona<jats:title>Abstract</jats:title><jats:p>Over large regions exposed to natural disasters, cascading effects resulting from complex or concatenated natural processes may represent a large portion of total risk. Populated high‐mountain environments are a major concern, and methods for large‐scale quantitative risk analyses are urgently required to improve risk mitigation. This article presents a comprehensive quantitative rockfall risk assessment over a large archetypal valley of the Andean mountains, in Central Chile, which integrates a wide spectrum of elements at risk. Risk is expressed as an expected damage both in monetary terms and casualties, at different scales relevant for decision making. Notably, total rockfall risk is divided into its main drivers, which allows quantifying seismically induced rockfall risk. For this purpose, the local seismic hazard is quantified and the yield acceleration, that is, acceleration required to initiate rockfall, is determined at the regional scale. The probability of failure is thereafter derived in terms of annual frequency of rockfall initiation and integrated in the quantitative risk assessment (QRA) process. Our results show the significant role of seismic activity as the triggering mechanism of rockfalls, and highlight elements at risk that have a major contribution to the total risk. Eventually a sensitivity analysis is conducted to (i) assess the robustness of obtained risk estimates to the data and modeling choices and (ii) identify the most influential assumptions. Our approach evidences the feasibility of large‐scale QRAs in sensitive environments and opens perspectives for refining QRAs in similar territories significantly affected by cascading effects and multihazards.</jats:p>1Scopus© Citations 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Seismic risk assessment of regional bridge networks using a stochastic emulator surrogate model(Elsevier BV, 2027-01) ;Amaya, Esteban ;Taflanidis, Alexandros A. ;Santa Maria, HernanScopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The September 19, 2017 Mw 7.1 Puebla-Mexico City earthquake: Observed rockfall and landslide activity(2020) ;Jack Montgomery; ;Anne LemnitzerAlejandro Martinez2Scopus© Citations 13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modelling of earthquake-induced pounding between adjacent structures with a non-smooth contact dynamics method(2021) ;T. Langlade ;D. Bertrand ;S. Grange; J.C. de la Llera7Scopus© Citations 12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Seismic response of retaining walls with cohesive backfill: Centrifuge model studies(2016); ;Roozbeh Geraili MikolaNicholas Sitar7Scopus© Citations 32