Surface subsidence prediction for the WUTONG mine using a 3-D finite difference method

Nengxiong Xu, Pinnaduwa H.S.W. Kulatilake, Hong Tian, Xiong Wu, Yinhua Nan, Tian Wei

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

WUTONG coal mine is adjacent to an auxiliary dam of the Yuecheng Reservoir. In this paper, mining-induced surface subsidence prediction is conducted by means of the finite difference method (FDM) to judge whether the extraction of the coal seam will have a negative impact on the dam. First, the initial values of the rock mass mechanical parameters are estimated using the available literature that relates intact rock and discontinuity properties to rock mass parameters. Then, based on available surface subsidence monitoring data on WUTONG's mined areas, the main mechanical parameters of coal and rock masses are determined by a back analysis procedure that combines an experimental design technique with numerical simulations. Finally, the surface subsidence results in the mining area are numerically predicted for four different mining scenarios (S1 through S4). Scenario S3 emerged as the best choice of these four scenarios. The predictions are: (1) the maximum surface subsidence within the mining area is 2.14. m, with the maximum settlement point located in the mid-west area of the coalfield, and (2) the nearest distance from the boundary of the surface movement area to the edge of the dam foundation is 35. m. Therefore, mining the coal seam will not cause damage to the dam.

Original languageEnglish (US)
Pages (from-to)134-145
Number of pages12
JournalComputers and Geotechnics
Volume48
DOIs
StatePublished - Mar 2013

Keywords

  • Back analysis
  • Mining
  • Numerical modeling
  • Subsidence prediction

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Surface subsidence prediction for the WUTONG mine using a 3-D finite difference method'. Together they form a unique fingerprint.

Cite this