6th Ishihara lecture: Simplified procedure for estimating liquefaction-induced building settlement

JD Bray, J Macedo - Soil Dynamics and Earthquake Engineering, 2017 - Elsevier
Significant settlement and damage may occur due to liquefaction of soils beneath shallow-
founded buildings. The primary mechanisms of liquefaction-induced building settlement are …

CPT-based fully probabilistic seismic liquefaction potential assessment to reduce uncertainty: Integrating XGBoost algorithm with Bayesian theorem

Z Zhao, W Duan, G Cai, M Wu, S Liu - Computers and Geotechnics, 2022 - Elsevier
The presence of model and parameter uncertainties significantly affects seismic liquefaction
potential assessments and may lead to improper geotechnical design. This study develops a …

An updated geospatial liquefaction model for global application

J Zhu, LG Baise, EM Thompson - Bulletin of the …, 2017 - pubs.geoscienceworld.org
We present an updated geospatial approach to estimation of earthquake‐induced
liquefaction from globally available geospatial proxies. Our previous iteration of the …

Development of region-specific soil behavior type index correlations for evaluating liquefaction hazard in Christchurch, New Zealand

BW Maurer, RA Green, S Van Ballegooy… - Soil Dynamics and …, 2019 - Elsevier
Utilizing an unprecedented database of field and laboratory test data from Christchurch,
New Zealand, this study develops deterministic and probabilistic correlations relating the …

CPT-based liquefaction case histories compiled from three earthquakes in Canterbury, New Zealand

M Geyin, BW Maurer, BA Bradley… - Earthquake …, 2021 - journals.sagepub.com
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 …

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 …

Site characterization of Swiss strong‐motion stations: The benefit of advanced processing algorithms

M Hobiger, P Bergamo… - Bulletin of the …, 2021 - pubs.geoscienceworld.org
ABSTRACT Since 2009, 91 new strong‐motion stations were built for the renewal of the
Swiss Strong Motion Network. Another nine stations will be installed until 2022. For each …

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 …

[HTML][HTML] A Review of Probabilistic Approaches for Assessing the Liquefaction Hazard in Urban Areas

A Cruz, S Karimzadeh, N Chieffo, E Sandoval… - … Methods in Engineering, 2024 - Springer
Several probabilistic liquefaction triggering approaches, or liquefaction manifestation
severity approaches, have been developed to consider the uncertainties related to …

Fragility functions for liquefaction-induced ground failure

M Geyin, BW Maurer - Journal of Geotechnical and …, 2020 - ascelibrary.org
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 …