This review paper attempt to offer a state-of-the-art review on the mix design approaches of
geopolymer concrete (GPC). No mix design standards have been published yet for GPC …

This study applies multiple regression analysis and an artificial neural network in estimating
the compressive strength of concrete that contains various amounts of blast furnace slag and …

Optimization of mix proportions of silica aggregates for use in polymer concrete was
attempted using statistical techniques. High purity silica aggregates of six different standard …

Backpropagation neural networks were used to predict the strength and slump of ready
mixed concrete and high strength concrete, in which chemical admixtures and/or mineral …

The complexity of specifications and the number of materials options available today for
concrete production mean that the traditional procedure of making trial mixes is now …

Using neural networks and optimization technologies, it is possible to apply analytical
methods to search for the optimum mixture of concrete composition, a mixture with the …

A step‐by‐step statistical approach is proposed to obtain optimum proportioning of concrete
mixtures using the data obtained through a statistically planned experimental program. The …

This paper presents the results of a statistical analysis aimed to optimize a concrete mix
design for hot climates. A full factorial experiment with 3× 4× 4× 3 treatment combinations …

Removal of simazine from aqueous solution by Fenton's reagent oxidation was investigated.
Box–Behnken statistical experiment design and the response surface methods were used to …

Advanced oxidation of diuron in aqueous solution by Fenton's reagent using FeSO4 as
source of Fe (II) was investigated in the absence of light. Effects of operating parameters …