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Prediction of self-consolidating concrete properties using XGBoost machine learning algorithm: Part 1–Workability

  • Amine el Mahdi Safhi
  • , Hamed Dabiri
  • , Ahmed Soliman
  • , Kamal Khayat

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Article number133560
JournalConstruction and Building Materials
Volume408
DOIs
StatePublished - Dec 8 2023

ASJC Scopus Subject Areas

  • Civil and Structural Engineering
  • Building and Construction
  • General Materials Science

Keywords

  • Machine learning
  • Mixture design
  • Self-consolidating concrete
  • Survey of experimental data, Workabily
  • XGBoost

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