Assessment of models to predict surface subsidence in the Czech part of the upper Silesian coal basin - case study

Title:

Assessment of models to predict surface subsidence in the Czech part of the upper Silesian coal basin - case study

Creator:

Jiránková, Eva, Waclawik, Petr, and Nemcik, Jan

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:d7efaf9d-f383-410a-b74d-0219e5ba36c7
uuid:d7efaf9d-f383-410a-b74d-0219e5ba36c7
doi:10.13168/AGG.2020.0034

Subject:

longwall mining, surface subsidence, great depth, finite element method, and Knothe method

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This case study presents the verification of two surface subsidence prediction models for longwall mining at depths greater than 400 m. The surface subsidence points were surveyed and compared for 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, coal mining has progressed to great depths. The second model is the 2-dimensional finite element method 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 of the 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 the Knothe's method. The predicted value differs from the measured value by 8 %. The slope of the 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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

469-484

Source:

Acta geodynamica et geomaterialia : | 2020 Volume:17 | Number:4 (200)

Harvested from:

CDK

Metadata only:

false