Optimum Mixture Design of Bottom Ash Based Alkali-Activated Mortar Using Artificial Neural Networks

Abstract:

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Bottom ash based alkali-activated mortar is prepared by incorporating sodium hydroxide and sodium silicate with some additional water if needed, and is activated with temperature curing. This research was conducted to derive an optimum mixture design of the bottom ash based alkali-activated mortar. The experimental studies were first performed to estimate the effect of the added water content, alkali activator to bottom ash ratio, sodium silicate to sodium hydroxide ratio as well as curing temperature on workability and strength. In order to optimize the mix proportion, based on the experimental results, artificial neural networks were introduced.

Info:

Periodical:

Key Engineering Materials (Volumes 452-453)

Edited by:

A. Saimoto and M.H. Aliabadi

Pages:

733-736

DOI:

10.4028/www.scientific.net/KEM.452-453.733

Citation:

S. T. Kang et al., "Optimum Mixture Design of Bottom Ash Based Alkali-Activated Mortar Using Artificial Neural Networks ", Key Engineering Materials, Vols. 452-453, pp. 733-736, 2011

Online since:

November 2010

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Price:

$35.00

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