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Swam Intelligent Based Inverse Model for Laboratory Double Reservoir Diffusion Experiments

Bharat, Venkata T and Sivapullaiah, PV and Allam, MM (2008) Swam Intelligent Based Inverse Model for Laboratory Double Reservoir Diffusion Experiments. In: The 12th International Conference of International Association for Computer Methods and Advances in Geomechanics (IACMAG), 1-6 October, 2008, Goa, India.

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Abstract

Theoretical approaches are of fundamental importance to predict the potential impact of waste disposal facilities on ground water contamination. Appropriate design parameters are, in general, estimated by fitting the theoretical models to a field monitoring or laboratory experimental data. Double-reservoir diffusion (Transient Through-Diffusion) experiments are generally conducted in the laboratory to estimate the mass transport parameters of the proposed barrier material. These design parameters are estimated by manual parameter adjusting techniques (also called eye-fitting) like Pollute. In this work an automated inverse model is developed to estimate the mass transport parameters from transient through-diffusion experimental data. The proposed inverse model uses particle swarm optimization (PSO) algorithm which is based on the social behaviour of animals for finding their food sources. Finite difference numerical solution of the transient through-diffusion mathematical model is integrated with the PSO algorithm to solve the inverse problem of parameter estimation.The working principle of the new solver is demonstrated by estimating mass transport parameters from the published transient through-diffusion experimental data. The estimated values are compared with the values obtained by existing procedure. The present technique is robust and efficient. The mass transport parameters are obtained with a very good precision in less time

Item Type: Conference Paper
Keywords: Contaminant transport;Diffusion;Swarm Intelligence;Inverse model
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 23 Sep 2011 09:01
Last Modified: 23 Sep 2011 09:01
URI: http://eprints.iisc.ernet.in/id/eprint/40749

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