0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Prediction of the compressive strength of self‐compacting concrete using artificial neural networks based on rheological parameters

Author(s): (Laboratoire mécanique et Génie civil, Univesrité Abdelmalek essaadi, FST de Tanger Tangier Morocco)
ORCID (Laboratoire Matériaux et Structure, Ecole Ntaionale d'Architecture de Rabat Rabat Morocco)
(Laboratoire mécanique et Génie civil, Univesrité Abdelmalek essaadi, FST de Tanger Tangier Morocco)
(Laboratoire mécanique et Génie civil, Univesrité Abdelmalek essaadi, FST de Tanger Tangier Morocco)
Medium: journal article
Language(s): English
Published in: Structural Concrete, , n. 6, v. 23
Page(s): 3864-3876
DOI: 10.1002/suco.202100796
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: 10.1002/suco.202100796.
  • About this
    data sheet
  • Reference-ID
    10656233
  • Published on:
    17/02/2022
  • Last updated on:
    20/02/2023
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine