Application Study on the Dynamic Prediction Model for Determining the Mining Subsidence
The movement and deformation of the overlying strata and surface induced by underground mining are processes involving temporal and spatial changes, which, in turn, cause damage to buildings. Estimating the dynamic ground movement and deformation is important to ascertain the damage degree of buil...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Eastern Macedonia and Thrace Institute of Technology
2016-04-01
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Series: | Journal of Engineering Science and Technology Review |
Subjects: | |
Online Access: | http://www.jestr.org/downloads/Volume9Issue2/fulltext13922016.pdf |
Summary: | The movement and deformation of the overlying strata and surface induced by underground mining are processes
involving temporal and spatial changes, which, in turn, cause damage to buildings. Estimating the dynamic ground
movement and deformation is important to ascertain the damage degree of buildings. To predict the dynamic ground
subsidence caused by underground coal mining and protect ground buildings from dynamic damage, a dynamic
prediction model was established to calculate ground deformation. A derivation of the dynamic subsidence prediction
model based on Knothe’s dynamic subsidence hypothesis and Litwiniszyn's stochastic medium theory was proposed
under the conditions of constant advancing speed mining and post-mining. The composition and significance of the
dynamic model were analyzed and provided a basis for calculating the dynamics and programming implementation.
Through case studies, the dynamic prediction model was verified and the expected results were obtained during mining
and post-mining. Results showed the dynamic prediction model is fit for the normal geological condition of mining but is
limited for the special geological condition, that is, thick loose layer and thick bedrock. The study can meet the demand
of protecting ground buildings from deformation caused by underground mining. The proposed model solves the time
issue in mining subsidence prediction. |
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ISSN: | 1791-2377 1791-2377 |