Conference Proceedings

Third International Conference on Advances in Civil, Structural and Construction Engineering - CSCE 2015

Modeling The Microstructure Of Slag-Blended Cements Using Artificial Neural Network

Author(s) : H.I. AHMED

Abstract

This paper proposes the artificial neural network (ANN) as a numerical technique to simulate the microstructure of slagblended cements. The ANN model adopted in this research consists of three neurons in the input layer which represent contents of both water-cooled slag (WCS) and OPC and WCS finenesses and three neurons in the output layer which represent calcium silicate hydrate (C-S-H), Portalndite (CH), and capillary porosity. Back Propagation algorithm was employed for the ANN training in which a Tansig function was used as the nonlinear transfer function. Thermogravimetric analysis and de-sorption approaches were performed to study the microstructure of the different OPC/slag pastes. The results obtained from experiments agreed with that predicted by ANN, where, the prediction ANN model gives very close estimates of C-S-H, CH, and capillary porosity of OPC/WCS pastes. Therefore, the developed ANN model can be used as an alternative approach to evaluate the microstructure of slag-blended cements.

Conference Title : Third International Conference on Advances in Civil, Structural and Construction Engineering - CSCE 2015
Conference Date(s) : 10-11 December, 2015
Place : Hotel Novotel Roma La Rustica, Rome, Italy
No fo Author(s) : 1
DOI : 10.15224/978-1-63248-079-8-62
Page(s) : 77 - 84
Electronic ISBN : 978-1-63248-079-8
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