Comparative analysis of various machine learning algorithms to predict 28-day compressive strength of Self-compacting concrete

Forecasting residual mechanical properties of hybrid fibre-reinforced self-compacting concrete (HFR-SCC) exposed to elevated temperatures

“…are already common in the field of civil engineering. These techniques and several other algorithms are frequently being utilized to estimate different properties of concrete composites, soil compaction parameters, slope failure susceptibility etc [ [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] ]. This research is attributed to utilization of a special ML algorithm called GEP to predict residual cs and fs of SCC containing a mix of steel, polypropylene and PVA fibres.…”