Identification of theoretical parameters used to forecast impact of underground mining on one coal seam performed on the basis of a geodetic survey

Kruczkowski, M.

doi:10.1088/1755-1315/261/1/012022

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…The HJ method is simple and relatively fast-converging, which, in combination with no need to calculate the gradient of the objective function, makes it attractive if the objective function has no analytical form and is obtained based on the empirical data. The practical applications of the HJ method include different fields of widely understood engineering [ 46 , 47 , 48 , 49 , 50 ]. The method is not very popular in geodesy and measurement data processing.…”

Section: Methodsmentioning

confidence: 99%

Application of Optimization Algorithms for Identification of Reference Points in a Monitoring Network

Odziemczyk

2021

Sensors

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Geodetic measurements are commonly used in displacement analysis to determine the absolute values of displacements of points of interest. In order to properly determine the displacement values, it is necessary to correctly identify a subgroup of mutually stable points constituting a reference system. The complexity of this task depends on the spatial size of the network, the timespan of measurements and geological conditions affecting the type of changes in the location of points. As a consequence of the abovementioned factors, the task of stable identification in a longer timespan for a subgroup of points may produce equivocal results. In particular, it is likely that alternative subgroups of reference points meeting the mutual stability criteria will be selected, sometimes without common reference points. The proposed method of reference system identification utilises optimisation algorithms. Two such algorithms were tested, i.e., simulated annealing (SA) and Hooke-Jeeves (HJ) method. Two numerical examples were used to test the proposed method. Although in the first example both methods delivered a positive result, the second example showed the superiority of the SA method over the HJ. The proposed method can be considered a tool supporting the person analysing and making calculations in reaching the ultimate decision on reference points.

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Section: Methodsmentioning

confidence: 99%

Application of Optimization Algorithms for Identification of Reference Points in a Monitoring Network

Odziemczyk

2021

Sensors

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“…The purpose of this article was to provide an example of the identification of the influence forecasting theory parameters on the basis of the changing asymptotic state of deformation due to the extraction in subsequent coal seams conducted over a long period of time. Issues related to the identification of parameters of Knothe's model were previously discussed in the literature of the subject (Kowalski 1984, Strzałkowski 1989, Tyrała 1993, Zych 2000, Białek and Mielimąka 2001, 2006, Ścigała 2006, Chudek M. et al 2007, Kowalski 2015, Mielimąka 2019, Kruczkowski 2019.…”

Section: Introductionmentioning

confidence: 99%

Identification of theoretical parameters used to forecast underground mining impacts to implement long-terms forecasts of underground mining impacts – case study

Kruczkowski¹

2020

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The paper is a case study of ground surface subsidence induced by a long-term mining of hard coal. Knothe prediction model is commonly used in Poland as a technique for prediction of the subsidence-related deformation of ground surface. The presented issue is related to assumptions about the value of the theory parameters in long-term forecasts on the impact of mining on the surface, which are included in the mine development plan. Incorrectly selected values can significantly influence the quality of deformation forecasts. The calculations presented in the article were made for the area where the exploitation of six coal seams lasted more than thirty years. At the same time, deformations of the surface were observed by means of geodetic measurements. Based on the subsidence curves of the observation line points over time, three periods of rock movement decrease were determined. The range of mining operations was determined for the periods of decreased rock movements. The parameters of Knothe’s model were identified on the basis of geodetic measurements for extracted coal seams. Parametric calculations were made for the increasing range of mining operations and for the ranges of operation between subsequent decreases in the movements of the rock mass. Identification of the parameters of the theory thus made it possible to trace changes in the parameter values for different mining ranges. Significant changes were noted for the parameter describing the dispersion of influence (tanβ), while changes in the coefficient of roof control are not significant and their value becomes stable after some time. As the extent of the mining exploitation was increasing, its influence on both parameters (tangent of angle of major influence – tanβ and coefficient of roof control ‘a’) were evaluated. The changes of tanβ values were found to be significant whereas the changes of the ‘a’ coefficient value are negligible and its value seems to be constant after the initial stage of mining.

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Identification of theoretical parameters used to forecast impact of underground mining on one coal seam performed on the basis of a geodetic survey

Cited by 2 publications

References 1 publication

Application of Optimization Algorithms for Identification of Reference Points in a Monitoring Network

Application of Optimization Algorithms for Identification of Reference Points in a Monitoring Network

Identification of theoretical parameters used to forecast underground mining impacts to implement long-terms forecasts of underground mining impacts – case study

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