Utilizing DEM and interpretable ML algorithms to examine particle size distribution's role in small-strain shear modulus of gap-graded granular mixtures
DOI:
10.1016/j.conbuildmat.2024.136232
Publication Date:
2024-04-18T23:22:51Z
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