Extending dynamic models of mining subsidence

The movement and deformation processes of the overburden strata and ground surface, induced by underground mining, are affected by mining method, spatial relationships, geotechnical conditions of the rock strata and time. The authors reviewed and extended an existing classical prediction model of th...

Full description

Bibliographic Details
Main Authors: Xu-gang, Lian, Jarosz, Andrew, Saavedra, Jose, Hua-yang, D.
Format: Journal Article
Published: China University Press 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/4980
_version_ 1848744667260125184
author Xu-gang, Lian
Jarosz, Andrew
Saavedra, Jose
Hua-yang, D.
author_facet Xu-gang, Lian
Jarosz, Andrew
Saavedra, Jose
Hua-yang, D.
author_sort Xu-gang, Lian
building Curtin Institutional Repository
collection Online Access
description The movement and deformation processes of the overburden strata and ground surface, induced by underground mining, are affected by mining method, spatial relationships, geotechnical conditions of the rock strata and time. The authors reviewed and extended an existing classical prediction model of the dynamic subsidence, and proposed potential new research avenues offered by Cellular Automata (CA) models. The Knothe's influence function model and the significance of subcritical mining geometry were analyzed. The prediction results were verified against the subsidence field survey data to assess their quality and acceptability.
first_indexed 2025-11-14T06:05:06Z
format Journal Article
id curtin-20.500.11937-4980
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:05:06Z
publishDate 2011
publisher China University Press
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-49802017-09-13T16:07:45Z Extending dynamic models of mining subsidence Xu-gang, Lian Jarosz, Andrew Saavedra, Jose Hua-yang, D. subsidence prediction Dynamic subsidence cellular automata The movement and deformation processes of the overburden strata and ground surface, induced by underground mining, are affected by mining method, spatial relationships, geotechnical conditions of the rock strata and time. The authors reviewed and extended an existing classical prediction model of the dynamic subsidence, and proposed potential new research avenues offered by Cellular Automata (CA) models. The Knothe's influence function model and the significance of subcritical mining geometry were analyzed. The prediction results were verified against the subsidence field survey data to assess their quality and acceptability. 2011 Journal Article http://hdl.handle.net/20.500.11937/4980 10.1016/S1003-6326(12)61637-9 China University Press restricted
spellingShingle subsidence prediction
Dynamic subsidence
cellular automata
Xu-gang, Lian
Jarosz, Andrew
Saavedra, Jose
Hua-yang, D.
Extending dynamic models of mining subsidence
title Extending dynamic models of mining subsidence
title_full Extending dynamic models of mining subsidence
title_fullStr Extending dynamic models of mining subsidence
title_full_unstemmed Extending dynamic models of mining subsidence
title_short Extending dynamic models of mining subsidence
title_sort extending dynamic models of mining subsidence
topic subsidence prediction
Dynamic subsidence
cellular automata
url http://hdl.handle.net/20.500.11937/4980