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Item type:Publication, Earthquake-induced landslides coupled to fluvial incision in Andean Patagonia: Inferring their effects on landscape at geological time scales(2023); Chen Ningshen3Scopus© Citations 7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Interperiod Correlation Model for Mexican Interface Earthquakes(2019)9Scopus© Citations 16 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, New developments for the performance-based assessment of seismically-induced slope displacements(2020); Scopus© Citations 35 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Assessment of fragility models based on the Sept 19th, 2017 earthquake observed damage(2019); J. MontgomeryScopus© Citations 14 14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Observed building damage patterns and foundation performance in Mexico City following the 2017 M7.1 Puebla-Mexico City earthquake(2019); Scopus© Citations 31 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); Scopus© Citations 12 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Consistently Processed Strong-Motion Database for Chilean Earthquakes(2022); Juan Carlos de la LleraSince the 1985 M 8.0 central Chile earthquake, national strong-motion seismic networks have recorded ten megathrust earthquakes with magnitudes greater than M 7.5 at the convergent margin, defined by the contact between the Nazca and South American plates. The analysis of these earthquake records have led to improved hazard analyses and design codes for conventional and seismically protected structures. Although strong-motion baseline correction is required for a meaningful interpretation of these records, correction methods have not been applied consistently in time. The inconsistencies between correction methods have been neglected in the practical use of these records in practice. Consequently, this work aims to provide a new strong-motion database for researchers and engineers, which has been processed by traceable and consistent data processing techniques. The record database comes from three uncorrected strong motion Chilean databases. All the records are corrected using a four-step novel methodology, which detects the P-wave arrival and introduces a baseline correction based on the reversible-jump Markov chain Monte Carlo method. The resulting strong motion database has more than 2000 events from 1985 to the date, and it is available to download at the Simulation Based Earthquake Risk and Resilience of Interdependent Systems and Networks (SIBER-RISK) project website.Scopus© Citations 15 1