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Utilizing DEM and interpretable ML algorithms to examine particle size distribution's role in small-strain shear modulus of gap-graded granular mixtures

Author(s):





Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 428
Page(s): 136232
DOI: 10.1016/j.conbuildmat.2024.136232
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1016/j.conbuildmat.2024.136232.
  • About this
    data sheet
  • Reference-ID
    10771972
  • Published on:
    29/04/2024
  • Last updated on:
    29/04/2024
 
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