Coal Mining Risk of Arthritis,Including Auto-Immune Rheumatologic Disease Exploratory Research Projects Regarding Mining-Related Health Problems (AFC618) University of California, San Francisco (Grant AFC618-04)
Further Characterizing Respirable Coal Mine Particulates: Submicron Particles, Metals and Diesel Exhaust 3rd Solicitation for Research Grants (AFC316) Virginia Tech (Grant Number AFC316-17)
A Practical, Mechanics-Based Approach to Pillar Design West Virginia University (Grant number AFC719-15)
PoroSense: An Intrinsically Safe, Distributed Fiber-optic Gas Sensing Platform for Underground Mines Virginia Tech (Grant number AFC719-29)
Investigation of Improved Communication from Portable Refuge Alternatives to Facilitate Mine Escape and Rescue Rebuilding Their Future Foundation (Grant number AFC719-57)
Control of Hazardous Gas Emissions to Longwall Face and Bleeder System: Laboratory Experiments, Modeling and Field Monitoring Penn State University (Grant number AFC719-27)
Asthma-and COPD-Associated Inflammasome Activation Induced by Rock Dust University of the Pacific (Grant number AFC719-12)
Evaluating a Virtual ‘Community of Practice’ in Pneumoconiosis Mortality Hotspots in the United States University of New Mexico (Grant number AFC719-14)
Analysis of Coal Mine Seal Integrity from Explosively Driven Projectiles Missouri University of Science & Technology (Grant number AFC719-31)
Evaluation of Silicosis, Asthma and COPD among Sand and Gravel and Stone Surface Miners Michigan State University (Grant Number AFC719-35)
Assessing Noise Exposures, Hearing, and Risk of Injuries Among Miners University of Michigan (Grant Number AFC719-20)
Fundamental Investigation into Pillar Design and Global Stability by Integrating Pillar Load and Opening Convergence Response University of Kentucky (Grant Number AFC719-49)
Identifying and Assessing Risks Factors Associated with Musculoskeletal Disorders within Stone and Sand and Gravel Mining Operations Indiana University (Grant Number AFC719-34)
Numerical Modeling of Overburden and Pillar Mechanics for Determination of Global Ground Stability in Underground Coal Mines Colorado School of Mines (Grant Number AFC719-67)
Digital Photogrammetry Software Comparison for Rock Mass Characterization 52nd US Rock Mechanics/Geomechanics Symposium, 17-20 June 2018 Becker, R.E., Galayda, L.J., MacLaughlin, M.M.
Geotechnical Characterization of Underground Mine Excavations from UAV-Captured Photogrammetric & Thermal Imagery 52nd US Rock Mechanics/Geomechanics Symposium, 17-20 June 2018 Turner, R.M., Bhagwat, N.P., Galayda, L.J., Knoll, C.S., Russell, E.A., MacLaughlin, M.M.
UAV-based Geotechnical Modeling and Mapping of an Inaccessible Underground Site 52nd US Rock Mechanics/Geomechanics Symposium, 17-20 June 2018 Russell, E.A., MacLaughlin, M.M., Turner, R.M.
Evaluation of commercially available seat suspensions to reduce whole body vibration exposures in mining heavy equipment vehicle operators Published in Applied Ergonomics, 2018 Kim H. K., Marin L.S., Dennerlein J.T.
University of Maryland computational explosion modeling finds that rock debris in coal mines can be conducive to detonation explosions View Final Report
Virginia Tech researchers find that rail and roof mesh can significantly extend transmission range of Magnetic Communication Systems (MCS). View Final Report
Virginia Tech researchers find high fractions of non-coal particles in respirable dust samples. View Final Report
Northeastern University researchers find that heavy surface mine equipment operators are likely to exceed ISO daily vibration limits when operating equipment for a full (8-hr shift). View Final Report
Longwall shearer scrubber reduces dust concentrations in face walkway by 74 pct and with 56 pct less dust leaving the longwall face. View Final Report
Colorado School of Mines constructs test facility and studies flame propagation through rock rubble to investigate explosive behavior in longwall gobs. View Final Report
University of California Berkeley study finds that failure to consider the healthy worker survivor bias can lead to highly misleading conclusions when analyzing the health impacts of hazardous exposures. View Final Report
