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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

Figures & Tables

Figure 1

Inverse calibration operation diagram.
Inverse calibration operation diagram.

Figure 2

Genetic Algorithm operation diagram.
Genetic Algorithm operation diagram.

Figure 3

Genetic operators.
Genetic operators.

Figure 4

Components of the measuring station and connection of devices (description in text).
Components of the measuring station and connection of devices (description in text).

Figure 5

Oedometer test results.
Oedometer test results.

Figure 6

Cassagrande estimation of Cv.
Cassagrande estimation of Cv.

Figure 7

Taylor estimation of Cv.
Taylor estimation of Cv.

Figure 8

Scheme of operation of GA with FlexPDE.
Scheme of operation of GA with FlexPDE.

Parameter estimation results_

Exp. nok [10-11m/s]Exp. nok [10-11m/s]
170.521162.43
263.061275.83
361.441361.23
466.631461.12
562.431565.01
671.051660.39
760.701761.85
865.011862.43
966.581962.43
1061.852072.94
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
|
Accepted on: May 28, 2018
|
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.