Experimental and machine learning prediction of compressive strength of chemically activated RHA based RAC using SHAP and PDP analysis.

ABSTRACT: The increasing demand for sustainable construction materials necessitates the effective reuse of industrial and agricultural waste in high-performance concrete (HPC). However, challenges such as strength loss due to recycled concrete aggregates (RCA) and variable performance of supplementary cementitious materials hinder widespread adoption. This study addresses these challenges by investigating the synergistic effect of chemically activated rice husk ash (RHA), RCA (0-100%), and foundry sand on the compressive strength and durability of HPC. Six experimental groups were prepared: one with inactivated RHA and five with chemically activated RHA using 3.5% sodium sulfate (Na₂SO₄), combined with RCA replacement levels of 0%, 40%, 60%, 80%, and 100%. All mixes included 20

SUBMITTER: Al-Naghi AAA 

PROVIDER: S-EPMC12678409 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature