Statistical Models for Prediction of Swelling Pressure of a Stabilised Expansive Soil   Dr. Akshaya Kumar Sabat Associate Professor Department of Civil Engineering, ITER, SOA University, Bhubaneswar-751030, India e-mail: akshayasabat@yahoo.co.in
			ABSTRACT

Statistical models have been developed to predict the swelling pressure of an expansive soil stabilised with quarry dust and lime. One model has been developed by taking quarry dust (%),lime (%), activity, maximum dry density (kN/m³),optimum moisture content(%) and curing period (days) as inputs and swelling pressure (kN/m²) as output. Other models have been developed to predict the swelling pressure of stabilized expansive soil cured for 7 and 28 days from the swelling pressure of the stabilised expansive soil cured at 0 day and the swelling pressure of stabilised expansive soil cured for 28 days from the swelling pressure of the stabilised expansive soil cured for 7 days. The models developed are found to be very efficient in prediction of swelling pressure.

Keywords: Swelling pressure, quarry dust, lime, curing period, models.

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