Issue |
E3S Web Conf.
Volume 53, 2018
2018 3rd International Conference on Advances in Energy and Environment Research (ICAEER 2018)
|
|
---|---|---|
Article Number | 03043 | |
Number of page(s) | 6 | |
Section | Environment Engineering, Environmental Safety and Detection | |
DOI | https://doi.org/10.1051/e3sconf/20185303043 | |
Published online | 14 September 2018 |
Experimental Study on the Failure Characteristics of Strata With Different Filling Rates in Long-wall Filling Mining
1
Mine Safety Technology Branch of China Coal Research Institute, Beijing 100013, China;
2
State Key Laboratory of Coal Mining and Clean Utilization (China Coal Research Institute), Beijing 100013, China
In order to study the mechanical characteristics including deformation, displacement and stress distribution of surrounding rock during the process of filling mining with different filling rate, according to the geological and mining conditions of the 12307 working face in some coal mine, the analyses of simulation were synthetically applied. The results show that the deformation and failure of overburden rock is closely related to the filling rate, when the filling rate is low, the fractures are extensive, longitudinal and transverse fractures are staggered, the vertical displacement of rock strata is differentiated obviously,while filling rate is high, the fractures appeared only in low strata, the rock strata displacement main occurs near the immediate roof, the strata displacement curves in the stable subsidence area are almost together, the rock presents the overall bending deformation, from the roof to the surface layers are whole movement characteristics. There is a power function between the influence distance and the filling rate, the concentrated stress decreases linearly with the increase of filling rate.The filling rate is an important factor to control the strata movement and surface deformation, the results of the study are of great significance to guide practice in filling mining.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.