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A Test Of Predictive Numerical Models To Simulate Entry Design Changes Using Field Measurements From A Longwall Mining Gateroad
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Riefenberg, Jennifer (1993). A Test Of Predictive Numerical Models To Simulate Entry Design Changes Using Field Measurements From A Longwall Mining Gateroad. Proceedings of 12th International Conference on Ground Control in Mining
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Riefenberg, Jennifer (1993). A Test Of Predictive Numerical Models To Simulate Entry Design Changes Using Field Measurements From A Longwall Mining Gateroad. Proceedings of 12th International Conference on Ground Control in Mining
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Reference Manager (RIS)
SpreadSheed (CSV)
Organization: International Conference on Ground Control in Mining
Pages: 8
Publication Date:
Jan 1, 1993
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Abstract
Abstract
| Research efforts by the U.S. Bureau of Mines include running a series of displacement-discontinuity, boundary-element models to simulate the gateroad design at an underground coal mine in northwestern Colorado. The initial mine design is a yield-abutment chain pillar arrangement in a three-entry, longwall gateroad system. Pressure effects from mining the first and second panel were recorded using borehole pressure cells (BPCs). These field data were then compared directly to the model output. Observed yielding in the field was approximated by reducing material property values and/or removing pillar elements in the model. Model results using this calibration technique mirrored the field measurements consistently. Using the calibrated model parameters, a suite of models was run simulating an experimental entry design: exchanging the yield and abutment pillar locations. These model results reflect a 20¬to 33-percent reduction in core stresses in the yield pillar during mining of the second panel. Improved pillar and entry conditions are suggested by these predictive results. The design modifications were then implemented at the mine along a 150-m (500-ft) test section. Field observations and measurements from the experimental design test site compared favorably with trends of the model predictions. |
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