articleConstruction and Building MaterialsJul 4, 2022Closed access

Prediction of rapid chloride penetration resistance of metakaolin based high strength concrete using light GBM and XGBoost models by incorporating SHAP analysis

King Faisal University · University of Engineering and Technology Peshawar · +2 more institutions

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

261
total citations
FWCI
27.32
Percentile
100%
References
64
Citations per year

Authors

6

Topics & keywords

Keywords
  • Metakaolin
  • Chloride
  • Compressive strength
  • Penetration (warfare)
  • Materials science
  • Predictive modelling
  • Composite material
  • Mathematics
UN Sustainable Development Goals
  • Sustainable cities and communities
No related works found for this paper.