The proposed research aims at improving the understanding of dynamic failures and massive collapses in Western US coal mines with the objective of improving ground fall safety. The outcome of this research will be a significant complement to the ongoing wide-ranged research and training efforts conducted by industry and government agencies. The method of investigation will be back-analyses of large coal mine ground failures using advanced numerical modeling software. The studies will begin with a comprehensive review of the available numerical modeling software and also with an examination of significant ground failures in coal mines. The numerical modeling programs considered for the study include distinct element, particle flow code, finite difference, finite element, and boundary element based codes. The recently introduced advanced features of the distinct element models, such as Synthetic Rock Mass, Bonded Particle Model, and Random Field Modeling Technique will be evaluated for their application to dynamic failure studies in coal mines. The modeling work will include simulations of well-studied simple structures, such as laboratory test specimens, coal pillars, and mine entries. Once validated, the modeling techniques will be transferred to mining units such as room and pillar panels, retreat mining sections, and head and tailgate entries for more comprehensive studies of massive collapses and dynamic failures. With further validation and calibration from the mining units, the modeling work will move onto detailed back-analyses of massive roof collapses and dynamic failures cases. Finally, a simulated model of an active longwall mine will be developed and mined to follow the real mining advances and calibrated using the information obtained from the actual mining conditions. The findings from the case histories and their numerical modeling will be evaluated and recommendations and guidelines will be developed for numerical modeling procedures leading to safer mine design.

Public Health Relevance

The proposed research will develop an improved understanding of dynamic failures and massive collapses that occur in the western US coal mines with the objective of improving ground fall safety. The method of investigation will be the back-analyses of large coal mine ground failures using advanced numerical modeling software. With the knowledge gained, modeling guidelines and procedures will be developed for the design of safer mine layouts.

Agency
National Institute of Health (NIH)
Institute
National Institute for Occupational Safety and Health (NIOSH)
Type
Research Project (R01)
Project #
5R01OH009764-02
Application #
7934593
Study Section
Special Emphasis Panel (ZOH1-GGB (51))
Program Officer
Frederick, Linda J
Project Start
2009-09-01
Project End
2012-08-31
Budget Start
2010-09-01
Budget End
2011-08-31
Support Year
2
Fiscal Year
2010
Total Cost
$287,161
Indirect Cost
Name
Colorado School of Mines
Department
Engineering (All Types)
Type
Schools of Arts and Sciences
DUNS #
010628170
City
Golden
State
CO
Country
United States
Zip Code
80401