Subsidence Analysis for Old Abandoned Board and Pillar Coal Mines Using ANSYS and Monte Carlo Simulation.
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| Title: | Subsidence Analysis for Old Abandoned Board and Pillar Coal Mines Using ANSYS and Monte Carlo Simulation. |
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| Authors: | Avchar, Akhil1 anuptripathi@nitk.edu.in, Pal, Samir Kumar2 pal.samir09@gmail.com, Tripathi, Anup Kumar1, Kumar, Gyandeep2 gyandeep.iitkgp@gmail.com |
| Source: | Journal of Mining Science. Jun2024, Vol. 60 Issue 3, p387-396. 10p. |
| Subjects: | Coal mining, ANSYS (Computer system), South Eastern Coalfields Ltd., Monte Carlo method, Finite element method |
| Abstract: | This research paper will cover the possible causes which can lead to subsidence above old abandoned board and pillar coal mines at a shallow depth. The research includes the calculation and analysis of the factor of safety for pillars using ANSYS and Monte Carlo Simulations for ascertaining subsidence. An old abandoned coal mine of South Eastern Coalfields Ltd. (SECL, a subsidiary of Coal India Limited) was considered for the study of coal pillar fatigue and eventual crushing of pillars over a long duration of time, simulation analysis of stress and strength of coal pillars over a long period, change in behavior of factor of safety as the dimension of the pillars changes. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Mining Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 180332174 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Subsidence Analysis for Old Abandoned Board and Pillar Coal Mines Using ANSYS and Monte Carlo Simulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Avchar%2C+Akhil%22">Avchar, Akhil</searchLink><relatesTo>1</relatesTo><i> anuptripathi@nitk.edu.in</i><br /><searchLink fieldCode="AR" term="%22Pal%2C+Samir+Kumar%22">Pal, Samir Kumar</searchLink><relatesTo>2</relatesTo><i> pal.samir09@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Tripathi%2C+Anup+Kumar%22">Tripathi, Anup Kumar</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Gyandeep%22">Kumar, Gyandeep</searchLink><relatesTo>2</relatesTo><i> gyandeep.iitkgp@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Mining+Science%22">Journal of Mining Science</searchLink>. Jun2024, Vol. 60 Issue 3, p387-396. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Coal+mining%22">Coal mining</searchLink><br /><searchLink fieldCode="DE" term="%22ANSYS+%28Computer+system%29%22">ANSYS (Computer system)</searchLink><br /><searchLink fieldCode="DE" term="%22South+Eastern+Coalfields+Ltd%2E%22">South Eastern Coalfields Ltd.</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This research paper will cover the possible causes which can lead to subsidence above old abandoned board and pillar coal mines at a shallow depth. The research includes the calculation and analysis of the factor of safety for pillars using ANSYS and Monte Carlo Simulations for ascertaining subsidence. An old abandoned coal mine of South Eastern Coalfields Ltd. (SECL, a subsidiary of Coal India Limited) was considered for the study of coal pillar fatigue and eventual crushing of pillars over a long duration of time, simulation analysis of stress and strength of coal pillars over a long period, change in behavior of factor of safety as the dimension of the pillars changes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Mining Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1134/S1062739124030049 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 387 Subjects: – SubjectFull: Coal mining Type: general – SubjectFull: ANSYS (Computer system) Type: general – SubjectFull: South Eastern Coalfields Ltd. Type: general – SubjectFull: Monte Carlo method Type: general – SubjectFull: Finite element method Type: general Titles: – TitleFull: Subsidence Analysis for Old Abandoned Board and Pillar Coal Mines Using ANSYS and Monte Carlo Simulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Avchar, Akhil – PersonEntity: Name: NameFull: Pal, Samir Kumar – PersonEntity: Name: NameFull: Tripathi, Anup Kumar – PersonEntity: Name: NameFull: Kumar, Gyandeep IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10627391 Numbering: – Type: volume Value: 60 – Type: issue Value: 3 Titles: – TitleFull: Journal of Mining Science Type: main |
| ResultId | 1 |