ANN modelling approach for predicting SCC properties - Research considering Algerian experience .Part II. Effects of aggregates types and contents

Mohamed Sahraoui,Tayeb Bouziani

doi:10.34118/jbms.v8i1.778

Abstract

The objective of this investigation is to illustrate the effect of aggregates types and contents on fresh and hardened properties of self-compacting concrete (SCC) considering Algerian experience. Based on experimental data available in the literature, Artificial neural network (ANN) models are established to illustrate the variation of aggregate types and contents (sand and gravel) in binary and ternary contour plots. Modelling results concerning the effect of sand types and proportions in binary and ternary combinations show the beneficial effect of river sand (RS) and crushed sand (CS) on slump flow. The highest L-Box ratio was obtained for mixtures composed of 50% of both RS and CS for binary and ternary mixtures. The increase in CS content enhance static stability, while the increase in RS gives higher compressive strength at 28 days. Concerning the study of aggregate sizes and contents, it was found that the increase of sand content leads to an increase in flowability and a decrease in static stability. An increase in gravel content leads to a decrease in passing ability, while a significant improvement in viscosity, static stability and mechanical strength with an increase in gravel content were observed.

Highlights

Self-compacting concrete (SCC) is a highly flowable concrete which can flow and consolidate under its self-weight
An increase of gravel content leads to a significant improvement in mechanical strength
- The highest passing ability was obtained for sand binary or ternary mixtures composed of 50% of both river sand (RS) and crushed sand (CS)

Summary

Introduction

Self-compacting concrete (SCC) is a highly flowable concrete which can flow and consolidate under its self-weight. Due to the complexity of its mix design, SCC might be more susceptible to any changes in components compared to conventional concrete (Ghoddousi & Salehi, 2017). SCC is very sensitive to changes in aggregate characteristics (size, grading, shape, texture, and morphology), the aggregate must be carefully chosen (Khaleel, Al-Mishhadani, & Razak, 2011). In order to enhance flowability and passing ability of SCC, many researchers suggest the reduction of the total aggregate content within the range of 40-50% of the solid content. Lin (Lin, 2020) show that a higher sand to aggregate ratio (S/A) have a positive effect on flowability, while a decrease in (S/A) ratio improved the mechanical properties of SCC

Methods

Results

Conclusion