Paper in Construction and Building Materials

Our paper titled "Development and strength prediction of sustainable concrete having binary and ternary cementitious blends and incorporating recycled aggregates from demolished UAE buildings: Experimental and machine learning-based studies" was published in the Construction and Building Materials journal.

Highlights

• The potential structural applications of RCA sourced from construction and demolition wastes in the UAE were investigated.
• The compressive and flexural strengths of concrete incorporating different RCA replacement levels and SCMs were investigated.
• ANOVA was used to study the effect of different variables on the strength of concrete with varying RCA replacement levels.
• Machine learning-based predictive models were developed to accurately predict the compressive and flexural strengths of such green concrete.