liquefaction

Geotechnical engineering, solved in Python. 170+ validated functions for soil mechanics, SPT, CPT, bearing capacity, settlement, liquefaction & slope stability. Apache 2.0.

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.

LiqueANN : Artificial Neural Network model for predicting soil liquefaction potential.

Liquefaction According to Eurocode

A collection of tools developed by the Next Generation Liquefaction modelers.

This is the inventory with which I gathered data for the Tufts Geohazards research group's Global Geospatial Liquefaction Model (GGLM).

Code and data to estimate models for predicting seismic soil liquefaction potential

SPT-based soil liquefaction batch evaluation (HBF/NCEER/AIJ/JRA) per Taiwan seismic & foundation design codes - Streamlit GUI + pure-Python CLI

Cheniere Energy — independent third-party profile of a public API surface, by API Evangelist. Cheniere Energy, Inc. is an international energy company headquartered in Houston, Texas, and is the leading producer and exporter of liquefied natural gas (LNG) in the United States.

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.

Causal Framework for Liquefaction Triggering, Citation: Shams and Vyas (20XX), From Prediction to Causation: A Causal Inference Framework for Liquefaction Triggering Probability Assessment.

Bayesian-optimized gradient boosting for seismic liquefaction prediction with geographic stratified CV on the LIQ/7/2833 global database.

This Repository hosts a script collection to facilitate simulations and output post-processing automation for geoseismic practice related software