Number of the records: 1
Assessment of models to predict surface subsidence in the Czech part of the Upper Silesian Coal Basin - Case study
- 1.
SYSNO ASEP 0535483 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Assessment of models to predict surface subsidence in the Czech part of the Upper Silesian Coal Basin - Case study Author(s) Jiránková, Eva (UGN-S) ORCID, SAI
Waclawik, Petr (UGN-S) RID
Němčík, J. (AU)Number of authors 3 Source Title Acta geodynamica et geomaterialia. - : Ústav struktury a mechaniky hornin AV ČR, v. v. i. - ISSN 1214-9705
Roč. 17, č. 4 (2020), s. 469-484Number of pages 16 s. Publication form Online - E Language eng - English Country CZ - Czech Republic Keywords longwall mining ; surface subsidence ; great depth ; finite element method ; Knothe method Subject RIV DH - Mining, incl. Coal Mining OECD category Mining and mineral processing Method of publishing Open access Institutional support UGN-S - RVO:68145535 UT WOS 000599963900006 EID SCOPUS 85097808128 DOI 10.13168/AGG.2020.0034 Annotation This case study presents the verification of two surface subsidence prediction models for longwallmining at depths greater than 400 m. The surface subsidence points were surveyed and comparedfor both models. The first model uses empirical calculations to predict the surface subsidence. This method is reliable for predicting surface subsidence at shallower depths. At present, however, coalmining has progressed to great depths. The second model is the 2-dimensional finite elementmethod to predict surface subsidence. In contrast to the first method, this method is based on the regional parameters and uses the rock mass properties to evaluate surface subsidence for multi-seams at any depth. Results show that the finite element method gives a better approximation ofthe measured surface subsidence than the Knothe method. The maximum surface subsidence,which was determined by the FEM method, was used to adjust the extraction coefficient in theKnothe's method. The predicted value differs from the measured value by 8 %. The slope ofthe predicted subsidence trough was within the range of 2‒8 % from the surveyed subsidence. This case study proposes a procedure for using both models to successfully predict the surface subsidence. Workplace Institute of Geonics Contact Lucie Gurková, lucie.gurkova@ugn.cas.cz, Tel.: 596 979 354 Year of Publishing 2021 Electronic address https://www.irsm.cas.cz/materialy/acta_content/2020_doi/Jirankova_AGG_2020_0034.pdf
Number of the records: 1