Experimental investigation and modelling the deformation properties of demolition wastes subjected to freeze–thaw cycles using ANN and SVR

Abstract

Construction and demolition (C&D) waste materials are widely being used as a pavement construction material. The aim of this research is to investigate the effect of freeze–thaw (FT) cycles on the deformation properties of C&D materials. Two artificial intelligence (AI) techniques, namely artificial neural network (ANN) and support vector regression (SVR) were developed for prediction of resilient modulus (Mr), which have been rarely used for modelling the behaviour of C&D materials. Laboratory repeated load triaxial (RLT) tests were performed on two types of C&D materials including recycled concrete aggregate (RCA) and crushed brick (CB) to investigate the permanent deformation and Mr. The ..