Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity

M. Bartlewska-Urban; T. Strzelecki

doi:10.2478/sgem-2018-0013

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Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity

Studia Geotechnica et Mechanica

Volume 40 (2018): Issue 2 (October 2018)

By: M. Bartlewska-Urban and T. Strzelecki

Open Access

|Aug 2018

Figures & Tables

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

Table 1

Parameter estimation results.

Exp. no	k [10^-11m/s]	Exp. no	k [10^-11m/s]
1	70.52	11	62.43
2	63.06	12	75.83
3	61.44	13	61.23
4	66.63	14	61.12
5	62.43	15	65.01
6	71.05	16	60.39
7	60.70	17	61.85
8	65.01	18	62.43
9	66.58	19	62.43
10	61.85	20	72.94

References

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DOI: https://doi.org/10.2478/sgem-2018-0013 | Journal eISSN: 2083-831X (formerly 0137-124X) | Journal ISSN: 0137-6365

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Language: English

Page range: 140 - 146

Submitted on: Oct 21, 2017

Accepted on: May 28, 2018

Published on: Aug 4, 2018

Published by: Wroclaw University of Science and Technology

In partnership with: Paradigm Publishing Services

Keywords:

genetic algorithms,

hydraulic conductivity,

Biot consolidation model

Related subjects:

Physics,

Mechanics and fluid dynamics

© 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.

Volume 40 (2018): Issue 2 (October 2018)

Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity

Figures & Tables

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Table 1

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