A comparative study on the compressive strength prediction models for High Performance Concrete containing nano silica and copper slag using regression analysis and Artificial Neural Networks

Volume: 114, Pages: 528 - 535
Published: Jul 1, 2016
Abstract
In this study, Multiple Regression Analysis (MRA) and Artificial Neural Network (ANN) models are constructed to predict the compressive strength of High Performance Concrete containing nano silica and copper slag as partial cement and fine aggregate replacement respectively. The data used in the model construction were obtained from laboratory experiments. The compressive strength was experimentally determined for specimens containing 0%, 0.5%,...
Paper Details
Title
A comparative study on the compressive strength prediction models for High Performance Concrete containing nano silica and copper slag using regression analysis and Artificial Neural Networks
Published Date
Jul 1, 2016
Volume
114
Pages
528 - 535
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