Modeling the Interaction Between Fly Ash and Lime Under Water Curing by an Artificial Neural Network Saikat Maitra, w Narayan Bandyopadhyay, and Ananta K. Das Government College of Engineering and Ceramic Technology, Kolkata 700010, India An artificial neural network was used to model the chemical interaction between fly ash and lime with different ratios in water-cured compacts. As inputs for the model, different process parameters like pozzolanicity, surface area, unburnt carbon con- tent of the ash samples, water-curing periods, and the proportion of initial lime content in the fly ash–lime mixes were used. Free lime remaining in the compacts after different curing periods was used as the output parameter. A generalized feedforward back- propagation three-layered neural network model was used with a tanhyperbolic transfer function at both the input and the output layer with 400 exemplars. For the training data, after 3500 it- erations, the error value was found to be the minimum for the prediction mode. When the model was tested for the test data, the difference between the actual value of the strength and the pre- dicted value of the strength was found to be within 715%. I. Introduction W ATER-cured fly ash–lime compacts have been finding an increased use as an eco-friendly replacement of traditional clay-based fired building materials in recent years. The manu- facturing process of fly ash-based bricks does not generate greenhouse gas carbon dioxide unlike the traditional clay bricks, and the valuable topsoil that is generally used for making clay bricks can also be preserved by making fly ash bricks. The major advantage of fly ash as a raw material is that it can be used as a pozzolanic material as it reacts with lime in the presence of moisture to develop different lime-bearing hydrated phases like calcium silicate hydrates (C–S–H), calcium aluminate hydrates (C–A–H), calcium alumino-silicate hydrates (C–A–S–H), etc. These phases give rise to strength development in fly ash–lime compacts. Fly ash-based bricks/blocks are suitable for use in masonry just like common burnt clay bricks at a lower cost with added advantages. The advantages include uniformity in shape, smoothness in finish, requirement of no plastering for building work, lighter weight, and less porosity than ordinary building bricks, etc. Many workers have carried out research works on fly ash–lime compacts. A few of these works are mentioned below. Barbier 1 studied the possible uses of coal fly ash in the brick industry with respect to the availability and characteristics of the fly ash. Song et al. 2 studied the manufacture and properties of coal fly ash–clay bodies. Tsunematsu et al. 3 studied the hydro- thermal reactivity of fly ash with lime and gypsum with respect to the mineral composition. Kumar 4 conducted a perspective study of fly ash–lime–gypsum bricks and hollow blocks for low-cost housing development. Ma and Brown 5 also studied the hydrothermal reaction of fly ash with Ca(OH) 2 and CaSO 4 2H 2 O. Muntcan et al. 6 studied the autoclaved limestone materials with addition of fly ash. The physico-mechanical prop- erties of the resulting siliceous limestone with 10%–30% fly ash were found to be superior compared with the limestone obtained from lime and sand only. Wang et al. 7 studied the reaction mechanism of a fly ash–lime–water system. The reaction mech- anism of the fly ash–lime–water system was studied and a model of the reaction was established. Maitra et al. 8,10 and Basumajumdar et al. 9 carried out works on steam-cured fly ash– lime compacts and developed a pozzolanic index to characterize fly ash samples. They also determined the optimum temperature of heating for the fly ash–lime compacts to develop the optimum level of strength. In the present investigation, the reaction between fly ash and lime in compacted form was studied by measuring the free CaO remaining in the mixes after different periods of water curing. An artificial neural network (ANN) model was developed using input parameters like the pozzolanic nature of the fly ash, un- burnt carbon content, surface area, lime content, and the reac- tion time between fly ash and lime to predict the amount of unreacted lime that remained in the mixes after different periods of water curing. II. Experimental Procedure In the present investigation, 12 dry fly ash samples (A–L) from different power plants of India were collected. Collection of the ash samples, their particle size distribution, measurement of bulk density, and specific gravity were carried out following the procedures described in IS: 1528–1974. The bulk density of the ash samples varied between 700 and 900 kg/m 3 . The specific gravity of the ash samples varied between 2.00 and 2.5. The surface area of the ash samples was determined by Blain’s air permeability method, and the surface area of all the ash samples was more than 300 m 2 /kg. Particle size distributions of the sam- ples were measured by screen analysis, and the result is given in Equivalent Spherical Diameter (Micron) Cumulative Mass Percent Finer 0 20 40 60 80 FlyAsh-K Fly Ash-C Fly Ash-G Fly Ash-I Fig. 1. Particle size distribution of different fly ash samples. T. Uygunoglu—contributing editor w Author to whom correspondence should be addressed. e-mail: maitrasaikat@ rediffmail.com Manuscript No. 23073. Received April 11, 2007; approved June 21, 2007. J ournal J. Am. Ceram. Soc., 90 [11] 3712–3716 (2007) DOI: 10.1111/j.1551-2916.2007.01974.x r 2007 The American Ceramic Society 3712