Optimization and evaluation of fly ash composite properties for geotechnical application

Abstract

India will generate about 283,470 MW of electricity by 2022. Seventy percent of the proposed energy demand is fulfilled by fossil fuel, out of which 54 % of demand is contributed by coal as reported by Krishna (2001). The coal production would be 850 Mt per year to fulfil the demand. Opencast mining plays a major role in meeting the demand of coal for thermal power generation leading to the use of large-capacity haul trucks. Carrying capacity of trucks/dumpers used in opencast mines has grown from 30 to 250 t in recent years. These ultra-capacity trucks/dumpers need well-designed haul roads. At present, design of new haul roads is based on past experience and empirical methods. The sub-grade, sub-base and/or base of haul road typically uses the overburden (O/B) materials which could be replaced by composite material at a particular layer for better performance. There are more than 165 opencast coal mines and many are near to thermal power stations. Present-generation fly ash (FA) from coal-based thermal power plants in India is 135 Mt/year and it is expected to increase to 300–400 Mt/year by 2016–2017 as reported by Cimento (2004). The usage percentage of fly ash is about 60 % leaving the rest as plant waste occupying a huge land area and creating environmental problems. The investigation has characterised fly ash (FA), mine overburden material (O/B) and lime (L). Geotechnical properties of untreated fly ash, mine overburden, fly ash–mine overburden mixes and lime-treated fly ash–mine overburden mixes were investigated using response surface methodology (RSM). Design-Expert software was used to establish the design matrix and to analyse the experimental data. The relationships between the percentage parameters (%FA + %O/B + %L) and experimentally obtained three responses (California bearing ratio (CBR), unconfined compressive strength (UCS) and BTS) were established. RSM was performed to optimize the interactions of input parameter which showed the best conditions for preparation of composite material. According to the obtained results, the model was developed and further analysis was conducted. The experimental values agreed with the predicted ones, thus indicating suitability of the model employed and the success of RSM in optimizing the composite material. Lime percentage, curing period was observed to have strong influences on the strength parameters of the developed FCMs. The best composite material obtained with highest CBR and UCS values.