A fuzzy model for optimum percentage of pond ash in concrete

Abstract

Pond ash is byproduct of thermal power station which is generated due to deposition of felled fly ash and bottom ash in large ponds. This paper discusses the development of Fuzzy Multiple Criteria Decision Making (FMCDM) model for estimation of Optimum Percentage of Pond Ash in Concrete (OPPAC). An every year huge amount of ash remains unutilized and dumped in ash ponds. Its leads to different types of pollutions like air pollution, water pollution and land pollution. One of the effective ways to utilize this waste is to replace cement partially with pond ash and to achieve sustainability in concrete construction. Here, a fuzzy model is developed to use appropriate percentage of pond ash in concrete. The fuzzy technique used in present study, estimates the optimum percentage of pond ash in concrete, taking into consideration the concrete performance parameters i.e. Workability, compressive strength, physical properties, chemical properties and setting time and not only compressive strength.