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@PHDTHESIS{Randaxhe:538917,
author = {Randaxhe, René},
othercontributors = {Martens, Per Nicolai and Preuße, Axel},
title = {{E}in {B}eitrag zur {E}ntwicklung und {B}ewertung von
{A}bbauverfahren zur {E}rhöhung der {E}xtraktionsrate im
deutschen {K}alibergbau},
address = {Aachen},
reportid = {RWTH-CONV-207619},
pages = {VIII, 179 S. : Ill., graph. Darst.},
year = {2015},
note = {Zsfassung in dt. und engl. Sprache; Aachen, Techn.
Hochsch., Diss., 2015},
abstract = {German potash mining as an important part of the German
mining industry has an over 150-years old tradition.
However, extraction at increasing depths of the potash seams
in combination with the Room $\&$ Pillar mining method lead
to lower extraction rates in underground mining due to rock
mechanical restrictions resulting in increas-ing pillar
sizes. Against this background the thesis makes a
contribution to efforts to increase the extraction rate in
German underground potash mining.Based on the mining method
presently applied in flat potash seams, the author shows
innovative approaches for suitable mining methods for
increased extraction rates. For this purpose computer-based
models were developed, the results are demonstrated and
finally evaluated regarding optimization of extraction
rates. Im-portant mining factors such as mineral extraction
method, rock mechanics and back-fill operations influencing
requirements of the mining method are characterized.The
computer-based models include the following mining methods:
Room $\&$ Pillar Mining, Room $\&$ Pillar Mining with
Backfill Operations, Room $\&$ Pillar Mining with Pillar
Recovery and Backfill Operations, Stope $\&$ Pillar Mining
with Backfill Operations as well as Stope $\&$ Pillar Mining
with Pillar Recovery and Backfill Operations. With the input
of individual parameters in the computer-based models a
modification of the underground mining method is
possible.The computer-based models provide a functional tool
for a technical and economic evaluation of the developed
mining methods for flat potash deposits. Consequently the
evaluation of the selected mining method for flat deposits
can be determined in advance. Moreover the computer-based
models provide a technical and economic optimization of the
developed mining method.},
cin = {511110 / 511110 / 510000},
ddc = {624},
cid = {$I:(DE-82)511110_20151029$ / $I:(DE-82)511110_20140620$ /
$I:(DE-82)510000_20140620$},
typ = {PUB:(DE-HGF)11},
url = {https://publications.rwth-aachen.de/record/538917},
}