@ARTICLE{Chen_Shunman_Multi-Objective_2018,
 author={Chen, Shunman and Wu, Aixiang and Wang, Yiming and Chen, Xun},
 volume={vol. 63},
 number={No 2},
 journal={Archives of Mining Sciences},
 howpublished={online},
 year={2018},
 publisher={Committee of Mining PAS},
 abstract={In order to optimize the stope structure parameters in broken rock conditions, a novel method for the optimization of stope structure parameters is described. The method is based on the field investigation, laboratory tests and numerical simulation. The grey relational analysis (GRA) is applied to the optimization of the stope structure parameters in broken rock conditions with multiple performance characteristics. The influencing factors include stope height, pillar diameter, pillar spacing and pillar array pitch, the performance characteristics include maximum tensile strength, maximum compressive strength and ore recovery rate. The setting of influencing factors is accomplished using the four factors four levels Taguchi experiment design method, and 16 experiments are done by numerical simulation. Analysis of the grey relational grade indicates the first effect value of 0.219 is the pillar array pitch. In addition, the optimal stope structure parameters are as follows: the height of the stope is 3.5 m, the pillar diameter is 3.5 m, the pillar spacing is 3 m and the pillar array pitch is 5 m. In-situ measurement shows that all of the pillars can basically remain stable, ore recovery rate can be ensured to be more than 82%. This study indicates that the GRA method can efficiently applied to the optimization of stope structure parameters.},
 type={Artykuły / Articles},
 title={Multi-Objective Optimization of Stope Structure Parameters in Broken Rock Conditions Using Grey Relational Analysis},
 URL={http://www.czasopisma.pan.pl/Content/106726/PDF/Archiwum-63-2-02-Chen.pdf},
 doi={10.24425/122447},
 keywords={Grey Relational Analysis, stope structure parameters, in broken rock conditions, numerical simulation, taguchi experiment design},
}