Regional seismic risk and resilience assessment: Methodological development, applicability, and future research needs–An earthquake engineering perspective
Given the devastating losses incurred by past major earthquake events together with the
ever-increasing global seismic exposures due to population growth and urbanization …
ever-increasing global seismic exposures due to population growth and urbanization …
Challenges in data-driven site characterization
Site characterisation is a cornerstone of geotechnical and rock engineering.“Data-driven site
characterisation” refers to any site characterisation methodology that relies solely on …
characterisation” refers to any site characterisation methodology that relies solely on …
Effective stress analysis of liquefiable sites to estimate the severity of sediment ejecta
D Hutabarat, JD Bray - Journal of Geotechnical and …, 2021 - ascelibrary.org
The severity of liquefaction-induced ejecta manifestation for the 2010–2011 Canterbury
earthquakes was overestimated or underestimated using simplified liquefaction ground …
earthquakes was overestimated or underestimated using simplified liquefaction ground …
CPT-based liquefaction case histories compiled from three earthquakes in Canterbury, New Zealand
Earthquakes occurring over the past decade in the Canterbury region of New Zealand have
resulted in liquefaction case-history data of unprecedented quantity. This provides the …
resulted in liquefaction case-history data of unprecedented quantity. This provides the …
Data-driven spatio-temporal analysis of consolidation for rapid reclamation
Spatial extension of lands through rapid reclamation is attractive for congested coastal
megacities, although reclamations might suffer from project delay and budget overrun, often …
megacities, although reclamations might suffer from project delay and budget overrun, often …
An exploration of the use of machine learning to predict lateral spreading
MG Durante, EM Rathje - Earthquake Spectra, 2021 - journals.sagepub.com
The recent availability of large amounts of high-quality data from post-disaster field
reconnaissance enables an exploration of the use of machine learning (ML) approaches to …
reconnaissance enables an exploration of the use of machine learning (ML) approaches to …
True liquefaction triggering curve
S Upadhyaya, RA Green… - … of Geotechnical and …, 2023 - ascelibrary.org
Current simplified models for predicting liquefaction triggering and manifestation do not
account for the mechanisms of liquefaction triggering and surface manifestation in a …
account for the mechanisms of liquefaction triggering and surface manifestation in a …
Liquefaction susceptibility and cyclic response of intact nonplastic and plastic silts
This study presents the results of a laboratory test program that serves to improve the
understanding of the liquefaction susceptibility and cyclic response of intact silts that span …
understanding of the liquefaction susceptibility and cyclic response of intact silts that span …
Probabilistic soil classification and stratification in a vertical cross-section from limited cone penetration tests using random field and Monte Carlo simulation
Classification and stratification (or zonation) of subsurface soils are important tasks in
geotechnical site investigation. Due to the limit of time, budget, or access to subsurface soils …
geotechnical site investigation. Due to the limit of time, budget, or access to subsurface soils …
Fragility functions for liquefaction-induced ground failure
The predicted severity of liquefaction manifested at the ground surface is a popular and
pragmatic proxy of damage potential for infrastructure. Toward this end, the liquefaction …
pragmatic proxy of damage potential for infrastructure. Toward this end, the liquefaction …