Computation of influence functions for automatic mining subsidence prediction
This paper presents a computer tool that automatically predicts mining subsidence using the generalized n - k - g influence function detailed in (González Nicieza et al. Int J Rock Mech Min Sci 42(3):372–387, 2005 ). This function depends on two physical concepts: the first is gravity, which charact...
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Published in | Computational geosciences Vol. 14; no. 1; pp. 83 - 103 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
2010
Springer Nature B.V |
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Abstract | This paper presents a computer tool that automatically predicts mining subsidence using the generalized
n
-
k
-
g
influence function detailed in (González Nicieza et al. Int J Rock Mech Min Sci 42(3):372–387,
2005
). This function depends on two physical concepts: the first is gravity, which characterizes the forces acting on the ground, and the second, the convergence of the roof and floor of the mine workings due to the stress state of the ground. The developed tool also allows other influence functions to be used to predict subsidence, namely the spatial influence function (Ramírez Oyanguren et al.
2000
) and the normal-type classical (Knothe, Arch Gór Hut 1,
1952
) and modified (González Nicieza et al. Bull Eng Geol Environ 66(3):319–329,
2007
) time functions. Moreover, the inputting and periodic updating of data from subsidence monitoring surveys is controlled by one of the tool’s modules using a method that minimizes errors resulting from time discontinuities in landmarks measurements. In addition, when actual landmarks measurements exist, the developed tool allows calibration of the subsidence parameters, minimizing the errors between actual measurements and those obtained by prediction. The tool includes a viewer, developed using OpenGL, which enables the results of the calculations carried out to be viewed, allowing the point of view to be varied. It also includes the option of viewing and saving the results of the calculations carried out over the original topographic plane defined in the AutoCAD DXF data file format. The efficacy of the tool is demonstrated via its application to a real case of mining work carried out in a village in the Principality of Asturias, Spain. |
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AbstractList | This paper presents a computer tool that automatically predicts mining subsidence using the generalized n-k-g influence function detailed in (Gonzalez Nicieza et al. Int J Rock Mech Min Sci 42(3):372-387, 2005). This function depends on two physical concepts: the first is gravity, which characterizes the forces acting on the ground, and the second, the convergence of the roof and floor of the mine workings due to the stress state of the ground. The developed tool also allows other influence functions to be used to predict subsidence, namely the spatial influence function (Ramirez Oyanguren et al. 2000) and the normal-type classical (Knothe, Arch Gor Hut 1, 1952) and modified (Gonzalez Nicieza et al. Bull Eng Geol Environ 66(3):319-329, 2007) time functions. Moreover, the inputting and periodic updating of data from subsidence monitoring surveys is controlled by one of the tool's modules using a method that minimizes errors resulting from time discontinuities in landmarks measurements. In addition, when actual landmarks measurements exist, the developed tool allows calibration of the subsidence parameters, minimizing the errors between actual measurements and those obtained by prediction. The tool includes a viewer, developed using OpenGL, which enables the results of the calculations carried out to be viewed, allowing the point of view to be varied. It also includes the option of viewing and saving the results of the calculations carried out over the original topographic plane defined in the AutoCAD DXF data file format. The efficacy of the tool is demonstrated via its application to a real case of mining work carried out in a village in the Principality of Asturias, Spain. This paper presents a computer tool that automatically predicts mining subsidence using the generalized n-k-g influence function detailed in (González Nicieza et al. Int J Rock Mech Min Sci 42(3):372-387, 2005). This function depends on two physical concepts: the first is gravity, which characterizes the forces acting on the ground, and the second, the convergence of the roof and floor of the mine workings due to the stress state of the ground. The developed tool also allows other influence functions to be used to predict subsidence, namely the spatial influence function (Ramírez Oyanguren et al. 2000) and the normal-type classical (Knothe, Arch Gór Hut 1, 1952) and modified (González Nicieza et al. Bull Eng Geol Environ 66(3):319-329, 2007) time functions. Moreover, the inputting and periodic updating of data from subsidence monitoring surveys is controlled by one of the tool's modules using a method that minimizes errors resulting from time discontinuities in landmarks measurements. In addition, when actual landmarks measurements exist, the developed tool allows calibration of the subsidence parameters, minimizing the errors between actual measurements and those obtained by prediction. The tool includes a viewer, developed using OpenGL, which enables the results of the calculations carried out to be viewed, allowing the point of view to be varied. It also includes the option of viewing and saving the results of the calculations carried out over the original topographic plane defined in the AutoCAD DXF data file format. The efficacy of the tool is demonstrated via its application to a real case of mining work carried out in a village in the Principality of Asturias, Spain. [PUBLICATION ABSTRACT] This paper presents a computer tool that automatically predicts mining subsidence using the generalized n - k - g influence function detailed in (González Nicieza et al. Int J Rock Mech Min Sci 42(3):372–387, 2005 ). This function depends on two physical concepts: the first is gravity, which characterizes the forces acting on the ground, and the second, the convergence of the roof and floor of the mine workings due to the stress state of the ground. The developed tool also allows other influence functions to be used to predict subsidence, namely the spatial influence function (Ramírez Oyanguren et al. 2000 ) and the normal-type classical (Knothe, Arch Gór Hut 1, 1952 ) and modified (González Nicieza et al. Bull Eng Geol Environ 66(3):319–329, 2007 ) time functions. Moreover, the inputting and periodic updating of data from subsidence monitoring surveys is controlled by one of the tool’s modules using a method that minimizes errors resulting from time discontinuities in landmarks measurements. In addition, when actual landmarks measurements exist, the developed tool allows calibration of the subsidence parameters, minimizing the errors between actual measurements and those obtained by prediction. The tool includes a viewer, developed using OpenGL, which enables the results of the calculations carried out to be viewed, allowing the point of view to be varied. It also includes the option of viewing and saving the results of the calculations carried out over the original topographic plane defined in the AutoCAD DXF data file format. The efficacy of the tool is demonstrated via its application to a real case of mining work carried out in a village in the Principality of Asturias, Spain. |
Author | Álvarez-Vigil, A. E. Díaz-Fernández, M. E. Álvarez-Fernández, M. I. |
Author_xml | – sequence: 1 givenname: M. E. surname: Díaz-Fernández fullname: Díaz-Fernández, M. E. organization: Department of Computing, Polytechnic School of Engineering, University of Oviedo – sequence: 2 givenname: M. I. surname: Álvarez-Fernández fullname: Álvarez-Fernández, M. I. email: inma@git.uniovi.es organization: Department of Mining Engineering, Mining Engineering School, University of Oviedo – sequence: 3 givenname: A. E. surname: Álvarez-Vigil fullname: Álvarez-Vigil, A. E. organization: Department of Mathematics, Mining Engineering School, University of Oviedo |
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Cites_doi | 10.1016/S1365-1609(97)00004-1 10.1007/s11771-007-0081-5 10.1007/s12303-008-0028-3 10.1016/j.ijrmms.2004.12.003 10.1007/s10064-007-0085-2 10.1016/0148-9062(92)92632-M 10.1016/0148-9062(93)91724-W 10.1016/j.enggeo.2004.06.008 10.1016/S1365-1609(01)00061-2 10.1023/A:1016650120053 10.1016/j.enggeo.2005.02.004 10.1016/S1365-1609(00)00023-X |
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References | Cui, Wang, Liu (CR22) 2001; 38 Deng, Bian (CR4) 2007; 14 Yao, Reddish, Whittaker (CR11) 1993; 30 CR2 González Nicieza, Álvarez Fernández, Menéndez Díaz, Álvarez Vigil (CR24) 2007; 66 Ramírez Oyanguren, Rambaud Perez (CR14) 2000 CR6 Jarosz, Karmis, Sroka (CR21) 1990; 8 Rodriguez Díez, Toraño Alvarez (CR9) 2000; 18 CR17 Sheorey, Loui, Singh, Singh (CR19) 2000; 37 CR16 CR15 CR12 Álvarez Fernández, González Nicieza, Menéndez Díaz, Álvarez Vigil (CR23) 2005; 80 CR10 Lin, Whittaker, Reddish (CR18) 1992; 29 CR20 González Nicieza, Álvarez Fernández, Menéndez Díaz, Álvarez Vigil (CR13) 2005; 42 Li, Wang, Liu, Ma (CR3) 2004; 76 (CR7) 1975 Baek, Kim, Park, Jung, Kim, Kim (CR5) 2008; 12 Holla (CR1) 1997; 34 Ou, Zhu (CR8) 1984 XL Yao (9134_CR11) 1993; 30 X Li (9134_CR3) 2004; 76 C González Nicieza (9134_CR24) 2007; 66 9134_CR6 J Baek (9134_CR5) 2008; 12 MI Álvarez Fernández (9134_CR23) 2005; 80 P Ramírez Oyanguren (9134_CR14) 2000 C González Nicieza (9134_CR13) 2005; 42 R Rodriguez Díez (9134_CR9) 2000; 18 9134_CR16 Z Ou (9134_CR8) 1984 9134_CR17 S Lin (9134_CR18) 1992; 29 L Holla (9134_CR1) 1997; 34 9134_CR15 PR Sheorey (9134_CR19) 2000; 37 National Coal Board (9134_CR7) 1975 A Jarosz (9134_CR21) 1990; 8 9134_CR2 9134_CR20 J Deng (9134_CR4) 2007; 14 9134_CR12 X Cui (9134_CR22) 2001; 38 9134_CR10 |
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Eng. doi: 10.1023/A:1016650120053 contributor: fullname: R Rodriguez Díez – volume: 76 start-page: 93 issue: 1–2 year: 2004 ident: 9134_CR3 publication-title: Engineering Geology doi: 10.1016/j.enggeo.2004.06.008 contributor: fullname: X Li – volume-title: Improving the Pearson function method for the calculation of surface movement after mining a steep seam year: 1984 ident: 9134_CR8 contributor: fullname: Z Ou – volume: 8 start-page: 261 issue: 3 year: 1990 ident: 9134_CR21 publication-title: Geotech. Geolog. Eng. contributor: fullname: A Jarosz |
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SubjectTerms | Computers Convergence Data mining Earth and Environmental Science Earth Sciences Geotechnical Engineering & Applied Earth Sciences Hydrogeology Mathematical Modeling and Industrial Mathematics Monitoring systems Original Paper Soil Science & Conservation Subsidence |
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Title | Computation of influence functions for automatic mining subsidence prediction |
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