Assessment of models to predict surface subsidence in the Czech part of the Upper Silesian Coal Basin - Case study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68145535%3A_____%2F20%3A00535483" target="_blank" >RIV/68145535:_____/20:00535483 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.irsm.cas.cz/materialy/acta_content/2020_doi/Jirankova_AGG_2020_0034.pdf" target="_blank" >https://www.irsm.cas.cz/materialy/acta_content/2020_doi/Jirankova_AGG_2020_0034.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13168/AGG.2020.0034" target="_blank" >10.13168/AGG.2020.0034</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Assessment of models to predict surface subsidence in the Czech part of the Upper Silesian Coal Basin - Case study

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Assessment of models to predict surface subsidence in the Czech part of the Upper Silesian Coal Basin - Case study

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20703 - Mining and mineral processing

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta geodynamica et geomaterialia

ISSN

1214-9705

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

16

Strana od-do

469-484

Kód UT WoS článku

000599963900006

EID výsledku v databázi Scopus

2-s2.0-85097808128