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Communication Dans Un Congrès Année : 2023

Optimal mechanical performance prediction of a sediment-based geopolymer road sub-layer

Résumé

In a world where concrete is king and because of the environmental challenges, it is urgent to find sustainable alternatives to the latter. From this perspective, this study considers the replacement of concrete with raw materials, namely sediments. Precisely, this work aims to predict the compressive strength of geopolymer mortars made from sediments. The approach combines principal component analysis (PCA) and ordinary least squares (OLS) multivariate regression models. The predictive model highlights several indicators, such as clay, specific surface, and sediment density. Other indicators, such as organic matter and geopolymerization activators, should be considered, although not statistically significant.
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Dates et versions

hal-04431814 , version 1 (01-02-2024)
hal-04431814 , version 2 (08-02-2024)

Identifiants

  • HAL Id : hal-04431814 , version 2

Citer

Lisa Monteiro, Hamza Hafidi Alaoui, Humberto Yanez-Godoy, Jacqueline Saliba, Nadia Saiyouri. Optimal mechanical performance prediction of a sediment-based geopolymer road sub-layer. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Jul 2023, Dublin, Ireland. ⟨hal-04431814v2⟩
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