Tag: geotechnical engineering

A new hybrid extreme learning machine framework predicts seismic soil liquefaction with near-perfect accuracy while using explainable AI to reveal ...

New direct shear experiments show that water immersion strips up to 35 percent of the bond strength between polymer-stabilized soil ...

Interviews with ten senior UK geotechnical experts reveal that commercial pressure, liability fears and risk-averse culture, rather than technical limitations, ...

Researchers used seven machine-learning models, led by Transformer and LSTM architectures, to reconstruct deep soil temperatures in cold-region canal slopes ...

Researchers at Xi'an University of Technology combined the Cellpose deep learning segmentation algorithm with ImageJ image analysis to rapidly and ...

A new vertically augmented three-dimensional Empirical Bayesian Kriging framework reconstructs subsurface soil conditions with dramatically reduced error, cutting predictive error ...

Researchers combined scanning electron microscopy with a deep learning framework to automatically classify salt-weathering deterioration in granite, achieving up to ...

Ring shear testing quantifies how peak and residual interface strength develop between concrete and cement-treated soil in composite foundation piles, ...

Nigerian researchers found that blending twenty percent recycled concrete aggregate into lateritic soil boosts road subgrade strength while cutting stabilization ...

A new open-source Python package called xslope integrates seepage and slope stability analysis in one validated, scriptable framework that has ...