Mining terrain curvatures approximation using the polynomials and a subsidence trough profile fragmentation

Author:

Orwat J

Abstract

Abstract In an article a method of average course obtaining of measured mining terrain curvatures has been presented. Terrain curvatures values are very important for building objects located on mining areas and which have a considerable length or/and a great cubature. Curvatures observed graph has an irregular course and that’s why there is a need of their average course determination in order to obtain the most probable value. Measured curvatures approximation by use of the polynomial various orders has been done. Additionally, a whole profile of subsidence trough into the parts has been divided. Subsidence trough fragmentation allowed for a better fit of the curvatures average values to the observed values. A right polynomial order and a trough segments proper number taking into account value of variability coefficient of curvatures random dispersion have been chosen. Geodesic surveys, based on which a graph of measured curvatures has been obtained, in the Upper Silesian Coal Basin (Poland) have been done. There was conducted a mining exploitation of hard coal deposits by use of the longwall system with a roof rocks cave-in.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference17 articles.

1. Influence of Subsidence Fluctuation on the Determination of Mining Area Curvatures;Kowalski;Arch. Min. Sci.,2015

2. Approximation of Average Course of Measured Curvatures of Mining Area with Reference to Their Forecast Values by Bialek’s Formulas;Orwat;AIP Conf. Proc.,2017

3. Approximation of Average Course of Measured Curvatures of Mining Area with Reference to Their Forecast Values by Knothe’s Formulas;Mielimąka;AIP Conf. Proc.,2017

4. Approximation of Average Course of Measured Subsidences of Mining Area by Smooth Splines;Orwat;AIP Conf. Proc.,2017

5. Average Course Approximation of Measured Subsidence and Inclinations of Mining Area by Smooth Splines;Orwat;Journal of Sustainable Mining,2017

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