Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete

<div>ANN model (PPC: Portland Pozzolana cement; BA: bagasse ash; RHA: rice husk ash; BDPPC, BDBA, and BDRHA: bulk density of PPC, BA, and RHA; SGPPC, SGBA, and SGRHA: specific gravity of PPC, BA, and RHA; passPPC, passBA, and passRHA: percentage passing 45 <i>µ</i>m in the sieve; SSAPPC, SSABA, and SSARHA: specific surface area of PPC, BA, and RHA).</div>

Advances in Materials Science and Engineering

fig1

Figure 1

Figure 1: Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete 