Application of Artificial Neural Network in mix design of high-volume fly-ash concrete

Based on the method of Artificial Neural Network, a strength prediction model for high-volume fly-ash concrete was built upon the experimental data and a software system for mix proportion design of high-volume fly-ash concrete had been developed by visual C++ 6.0. The problem of modular ambiguity in high-volume fly-ash concrete, the nonlinear influence of every composition on concrete performance, the multiple random factors have been solved. The experiment results show the method above mentioned is effective and feasible. It will avail to the massive application and utilization of high-volume fly-ash concrete because the model for the strength prediction is handy for operating, high precision in prediction and strong adaptability.