Why “AI” models for predicting soil liquefaction have been ignored, plus some that shouldn't be
BW Maurer, MD Sanger - Earthquake Spectra, 2023 - journals.sagepub.com
Soil liquefaction remains an important and interesting problem that has attracted the
development of enumerable prediction models. Increasingly, these models are utilizing …
development of enumerable prediction models. Increasingly, these models are utilizing …
Semi-supervised learning method for the augmentation of an incomplete image-based inventory of earthquake-induced soil liquefaction surface effects
Soil liquefaction often occurs as a secondary hazard during earthquakes and can lead to
significant structural and infrastructure damage. Liquefaction is most often documented …
significant structural and infrastructure damage. Liquefaction is most often documented …
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 …
Energy-based liquefaction triggering model
KJ Ulmer, RA Green, A Rodriguez-Marek… - … of Geotechnical and …, 2023 - ascelibrary.org
The most commonly used approach for evaluating liquefaction triggering is via stress-based
simplified models. Proposed herein is a model for evaluating liquefaction triggering where …
simplified models. Proposed herein is a model for evaluating liquefaction triggering where …
An AI driven, mechanistically grounded geospatial liquefaction model for rapid response and scenario planning
Geospatial models for predicting soil liquefaction infer subsurface traits via satellite remote
sensing and mapped information, rather than directly measure them with subsurface tests …
sensing and mapped information, rather than directly measure them with subsurface tests …
[HTML][HTML] Evaluation and updating of Ishihara's (1985) model for liquefaction surface expression, with insights from machine and deep learning
Liquefaction surface-manifestation is a popular proxy of damage potential for infrastructure.
Models for predicting it are thus commonly used, and often codified, in earthquake …
Models for predicting it are thus commonly used, and often codified, in earthquake …
Select liquefaction case histories from the 2001 Nisqually, Washington, earthquake: A digital data set and assessment of model performance
While soil liquefaction is common in earthquakes, the case-history data required to train and
test state-of-practice prediction models remains comparatively scarce, owing to the breadth …
test state-of-practice prediction models remains comparatively scarce, owing to the breadth …
Limitations of surface liquefaction manifestation severity index models used in conjunction with simplified stress-based triggering models
The severity of surface manifestation of liquefaction is commonly used as a proxy for
liquefaction damage potential. As a result, manifestation severity index (MSI) models are …
liquefaction damage potential. As a result, manifestation severity index (MSI) models are …
Assessment of the efficacies of correction procedures for multiple thin layer effects on Cone Penetration Tests
Multiple interbedded fine-grained layers in a sand deposit have a “smoothing” effect on the
measured Cone Penetration Test (CPT) tip resistance (qc), resulting in a significant …
measured Cone Penetration Test (CPT) tip resistance (qc), resulting in a significant …
Probabilistic liquefaction triggering and manifestation models based on cumulative absolute velocity
This study proposes the capacity cumulative absolute velocity (CAV c) as a novel measure
for the resistance of granular soils to earthquake-induced liquefaction. The CAV c is defined …
for the resistance of granular soils to earthquake-induced liquefaction. The CAV c is defined …