GeoRockSlope: an open access application for prediction of FEM-ANN guided road cut rock-slope instability

Data-driven approach for stability analysis of river embankments in Bengkulu City, Indonesia

Predicting blast-induced slope stability using a hybrid field-monitoring and machine learning surrogate model

This study evaluates the impact of mine production blasts on ubiquitous jointed slopes using field data and three machine learning algorithms: an ensemble of trees (LSBoost), Gaussian Process Regression (GPR), and Support Vector Machines (SVM). Rather than relying on pure data driven approach, this study develops predi...

Machine learning-based framework for real-time seismic damage assessment of RC buildings in Nepal

Seismic fragility curves help assess structural damage based on a few structural and ground motion (GM) features. In Nepal, diverse construction practices exist, and current standards require reinforced concrete (RC) buildings to ensure structural integrity under design spectra for different soil types. To study this...

Machine learning prediction of strain dependent soil damping improves seismic analysis of bridge foundations

Conventional empirical soil damping models often neglect strain-dependent, site-specific variability in heterogeneous alluvial deposits (sands, silts, gravels), leading to uncertainty in seismic bridge foundation design. This study develops a Random Forest (RF) model to predict strain-dependent damping from routine geo...

Discontinuity-Controlled Roadside Cut-Slope Instability Assessment by Integrating Rock Mass Classification, Kinematic Analysis, and Mineralogy in the Central Nepal Himalaya

Data driven permeability modelling in tight Jhuran formation sandstones of the Kutch offshore Basin India

Permeability prediction in tight sandstone reservoirs remains a fundamental challenge, particularly in data-constrained frontier basins. The Mesozoic Jhuran Formation of the Kachchh Offshore Basin is characterized by low permeability (0.01–10 mD), heterogeneous facies architecture, and diagenetically modified pore syst...