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Experimental investigation and artificial neural network prediction of fiber admixed flyash based sustainable geopolymer concrete
Published in Alpha Publishers
Volume: 10
Issue: 11
Pages: 11884 - 11892
The present study is to investigate the basic fresh and hardened concrete properties of flyash based geopolymer concrete admixed with polypropylene fiber and compare to the coventioal geopolymer concrete (without fiber). The fly ash based geopolymer is tested in two phases, one in fresh concrete phase where flow properties are determined after which hardened concrete is tested for its compressive strength. Also, the objective effectively extends to study the strength gain pattern in ambient curing condition. The strength is measured between 3 days to 28 days. The observed results are then converted into a data set, and an Artificial Neural Network Model is created out of the collected results using Levenberg-Marquardt algorithm. The model is trained, validated and tested. Then the predicted value is compared with the actual value. This study proves that polypropylene fiber has enhancing effect on strength properties. Also, ANN model can be effectively created and used with the available data set. © 2020, Alpha Publishers. All rights reserved.
About the journal
JournalJournal of Green Engineering
PublisherAlpha Publishers