Abstract
A theoretical study is conducted to investigate the shear behaviour of recycled aggregate concrete (RAC) beams with and without shear reinforcements along with the performance evaluation various Code based/other existing equations in predicting shear strength. In addition, three artificial neural network (ANN) models for shear strength prediction of RAC beams with and without shear reinforcements are developed and their performance validated by using 108 beams from available research studies. Most of the Codes and existing methods underestimate the shear capacity of RAC beams with/without shear reinforcement. However, over estimation of shear strength by Codes/existing methods for about 10% RAC beams needs to be addressed when using such Codes/existing methods for shear strength prediction. All three ANN models are found to predict shear strength of RAC beams. Developed ANN models are able to simulate the effect of shear reinforcement on the shear strength of RAC beams.
Highlights
The worldwide high volume generation of construction and demolition waste (CDW) requires sustainable solutions to reduce the environmental impacts like landfill extensions and to support the preservation of our limited natural resources
Combined Model 1 developed for recycled aggregate concrete (RAC) beams with and without web reinforcement used all 96 beams, Model 2 developed for beams with web reinforcement used 43 beams and Model 3 developed for beams without web reinforcement used 53 beams
The results of artificial neural network (ANN) modeling are presented as statistical inferences
Summary
The worldwide high volume generation of construction and demolition waste (CDW) requires sustainable solutions to reduce the environmental impacts like landfill extensions and to support the preservation of our limited natural resources. The demand of new aggregates in United States is estimated to be two billion tons for each year, while the annual production of construction waste is estimated to be 123 million tons according to the Federal Highway Administration (FHWA, 2004). There is no global statistical data for CDW generation, but it is stated that approximately 900 million tonnes of construction and demolition waste is generated in USA, Europe and Japan (WBCSD, 2012). According to Construction Materials Recycling Association (CMRA, 2010), nearly 140 million tons of concrete end up to recycling plants every year. Is one of the countries that provides for 30% coarse RCA replacement of virgin aggregate, in order to make structural concrete. This process has been taking place since 2009 (Corinaldesi, 2011). A brief description of the truss analogy method is presented at the end
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