Derbin, YG, Walker, J, Wanatowski, D orcid.org/0000-0002-5809-0374 et al. (1 more author) (2019) Numerical Simulation of Surface Subsidence After the Collapse of a Mine. In: Sustainable Civil Infrastructures. The GeoChina 2018 International Conference, 23-25 Jul 2018, HangZhou, China. Springer International Publishing , pp. 80-97. ISBN 9783319956442
Abstract
Surface subsidence is a concern for many underground mining activities. If not predicted, this phenomenon can cause severe infrastructure damage. In this paper, a computer model is used to predict surface subsidence after the controlled collapse of a coal mine at Naburn in North Yorkshire, England. Scarcity of data on the characteristics of deep underground distressed and caved zones around coal mining excavations makes the numerical prediction of mining-induced subsidence very difficult. The authors derive appropriate input parameters for the numerical model using available borehole data with all necessary justifications provided. Simulations are performed using the commercial software FLAC3D. Different constitutive models, such as Mohr-Coulomb, modified Hoek-Brown, strain-softening, double-yield, and modified Cam-clay are used to obtain surface subsidence profiles, which are compared against measurements taken at the site. Special attention is given to numerically simulating processes involved in the underground movements. It is shown that none of the models listed above can reasonably predict the surface subsidence profile.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer International Publishing AG, part of Springer Nature 2019. This is an author produced version of an article published in Sustainable Civil Infrastructures. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Coal mining; Numerical modelling; Surface subsidence; Caved zone; Distressed zone |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > SWJTU Joint School (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Mar 2021 15:39 |
Last Modified: | 24 Mar 2021 16:11 |
Status: | Published |
Publisher: | Springer International Publishing |
Identification Number: | 10.1007/978-3-319-95645-9_9 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:172336 |