Estimation of the Shear Strength of Sand-Clay mixtures based on the ANN and low-field NMR.

ABSTRACT: The application of sand-clay mixtures is diverse in contemporary engineering practices, with particular emphasis on their shear strength characteristics. This study focused on the estimation of the shear strength of sand-clay mixtures using the artificial neural network (ANN) and low-field nuclear magnetic resonance (NMR) spectroscopy. In this study, NMR tests and triaxial compression tests were carried out on 160 artificial sand-clay mixtures with different mineralogical compositions, water contents, and dry densities in the laboratory to obtain the T₂ spectra and shear strength indices, respectively. Twelve characteristic variables that could reflect the pore structure and water classification in the mixtures were calculated for each T₂ spectrum. A novel predictive

SUBMITTER: Liu X 

PROVIDER: S-EPMC11696442 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature