Model for mix design of brick aggregate concrete based on neural network modelling

Volume: 148, Pages: 757 - 769
Published: Sep 1, 2017
Abstract
This article proposes an optimized quantitative model for proportioning concrete mixtures based on cement content, water-cement ratio and percentage of recycled aggregate replacement according to preffered recycled brick aggregate concrete (RBAC) compressive strength. A database compiled from 147 experimental tests of RBAC compressive strength was processed by neural network modelling to achieve a reliable prediction, which was investigated by...
Paper Details
Title
Model for mix design of brick aggregate concrete based on neural network modelling
Published Date
Sep 1, 2017
Volume
148
Pages
757 - 769
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