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Numerical analysis of tailing dam with calibration based on genetic algorithm and geotechnical monitoring data Cover

Numerical analysis of tailing dam with calibration based on genetic algorithm and geotechnical monitoring data

By: Szczepan Grosel  
Open Access
|Nov 2020

Abstract

The article presents a method of calibration of material parameters of a numerical model based on a genetic algorithm, which allows to match the calculation results with measurements from the geotechnical monitoring network. This method can be used for the maintenance of objects managed by the observation method, which requires continuous monitoring and design alterations. The correctness of the calibration method has been verified on the basis of artificially generated data in order to eliminate inaccuracies related to approximations resulting from the numerical model generation. Using the example of the tailing dam model the quality of prediction of the selected measurement points was verified. Moreover, changes of factor of safety values, which is an important indicator for designing this type of construction, were analyzed. It was decided to exploit the case of dam of reservoir, which is under continuous construction, that is dam height is increasing constantly, because in this situation the use of the observation method is relevant.

DOI: https://doi.org/10.2478/sgem-2020-0008 | Journal eISSN: 2083-831X | Journal ISSN: 0137-6365
Language: English
Page range: 34 - 47
Submitted on: Jul 23, 2020
Accepted on: Sep 21, 2020
Published on: Nov 24, 2020
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Szczepan Grosel, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.