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Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity Cover

Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity

Open Access
|Aug 2018

Abstract

In the study described here model calibration was performed employing the inverse analysis using genetic algorithms (GA). The objective of analysis is to determine value of the coefficient of hydraulic conductivity, k. The commonly used method for the determination of coefficient of hydraulic conductivity based on Terzaghi consolidation leads to an underestimation of the value of k as the Terzaghi model does not take into account the deformation of soil skeleton. Here, an alternative methodology based on genetic algorithms is presented for the determination of the basic parameters of Biot consolidation model. It has been demonstrated that genetic algorithms are a highly effective tool enabling automatic calibration based on simple rules. The values of the coefficient of hydraulic conductivity obtained with GA are of at least one order smaller than values obtained with the Terzaghi model.

DOI: https://doi.org/10.2478/sgem-2018-0013 | Journal eISSN: 2083-831X | Journal ISSN: 0137-6365
Language: English
Page range: 140 - 146
Submitted on: Oct 21, 2017
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Accepted on: May 28, 2018
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Published on: Aug 4, 2018
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 M. Bartlewska-Urban, T. Strzelecki, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.