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Silica fume as a supplementary cementitious material in pervious concrete: prediction of compressive strength through a machine learning approach

Author(s): ORCID
ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Asian Journal of Civil Engineering, , n. 3, v. 25
Page(s): 2963-2977
DOI: 10.1007/s42107-023-00956-z
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: 10.1007/s42107-023-00956-z.
  • About this
    data sheet
  • Reference-ID
    10750525
  • Published on:
    14/01/2024
  • Last updated on:
    25/04/2024
 
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