Abstract
ABSTRACT The effectiveness of the incorporation of data envelopment analysis (DEA) and Al-Refaie and Al-Tahat (AA) model to solve the intrinsic multiple response problem in Taguchi optimisation method was assessed in this study. Charnes, Cooper and Rhodes model, which is a variant of the DEA method, was employed in the optimisation of additives for expansive soil treatment. The additives, which were sawdust ash (SDA), quarry dust (QD) and Portland cement (CM), were assigned various levels in the designed Taguchi mixed level L18 (6^1 × 3^2) orthogonal array experiment. SDA was assigned six levels while CM and QD were assigned three levels each. Multiple responses, which included the unconfined compressive strength, California bearing ratio and differential free swell, were determined with the designed experiment and later optimised concurrently with the DEA and AA model. Optimum combination of the additives (20% SDA + 20%QD + 5% CM) obtained with the models and validated by performing confirmatory tests on the soil admixed with it proved that DEA and AA model can be integrated in Taguchi method to optimise multiple responses simultaneously. Finally, scanning electron microscope of the expansive soil treated with the optimum combination of additives revealed the formation of cementation compound in the mixture.
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