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Optimization for Blasting Scheme of Crown-Sill Pillar Based on CW-GT and GC-WTOPSIS


Affiliations
1 School of Nuclear Resources Engineering, University of South China, Hengyang, Hunan 421001, China
 

Blasting scheme for crown-sill pillar of a lead–zinc mine was optimized by a new combination optimization model on the basis of CW-GT and GC-WTOPSIS. Nine main evaluation indices influencing blasting were chosen from economy, technology and safety aspects to establish the synthetic evaluation index system of four blasting schemes. Then the synthetic superiority degrees of the four schemes were determined with the basic theory of CW-GT and GC-WTOPSIS. Scheme- III (burn cut, inclined hole and side collapse with an angle of 80°) had the highest superiority degree and hence was confirmed as the best. The result was consistent with AHP-TOPSIS, BP neural network and catastrophe progressing model. The practice showed that the selected blasting scheme achieved the desired blasting effect, and the new method was suitable for optimization of blasting scheme, which provided a new way for scientific and reliable optimization of similar programmes.

Keywords

Blasting Scheme, Combination Weight Based on Game Theory, CW-GT, GC-WTOPSIS.
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  • Shi, X. Z., Liu, B., Zhao, J. P., Ruan, X. Q. and Chen, H. B., Mining blasting scheme optimization of crown-sill pillar based on AHP-TOPSIS evaluation model. J. Min. Saf. Eng., 2015, 32(2), 343–348 (in Chinese).

  • Xu, Z., Xu, M. G., Wang, P., Chen, S. M., Luo, K. and Yu, H., Application of model based on osculating value method in optimization of blasting scheme. Ind. Miner. Process., 2014, 3, 27–29+34 (in Chinese).

  • Wang, C. H. and Zhou, Y. H., Study of the application of AHP in blasting scheme optimization., 2011 International Conference on Multimedia Technology, Hangzhou, China, IEEE, 2011, pp. 1738–1741.

  • Zhang, S. X., Chen, Q. F. and Xu, M. B., Application of fuzzy hierarchy analysis method in optimization of blasting program. Blasting, 2004, 21(4), 83–85. (in Chinese).

  • Shan, R. L., Huang, B. L. and Li, G. J., Comprehensive evaluation model based on gray correlative analysis and its application to selecting blasting scheme. Rock. Soil. Mech. (Supplement Issue 1), 2009, 30, 206–210 (in Chinese).

  • Fang, C., Comprehensive evaluation of smooth blast result based on swallow tail catastrophe theory. Blasting, 2010, 27(4), 40–42+47. (in Chinese)

  • Wang, M. W., Wu, D. G. and Zhang, W. W., Application of RAGA based fuzzy analytic hierarchy process to optimization of blasting plans. Exp. Shock. Waves., 2008, 28(3), 225–228 (in Chinese).

  • Liu, X. S., Hu, X. and Wang, T. L., Rapid assessment of flood loss based on neural network ensemble. Trans. Non-ferrous Met. Soc. China., 2014, 8, 2636–2641.

  • Shi, X. Z., Zhou, J., Dong, K. C. and Hu, H. Y., Fuzzy Matter element model based on Coefficients of Entropy in Scheme optimization of Rock Blasting in Urban Area. Blasting, 2009, 26(4), 29–33 (in Chinese)

  • Gong, Y. C., Zhang, Y. X., Ding, F., Hao, J., Wang, H. and Zhang, D. S., Projection pursuit model for assessment of groundwater quality based on firefly algorithm. J. China Univ. Min. Technol., 2015, 44(3), 566–572 (in Chinese).

  • Liu, A. H., Dong, L. and Dong, L. J., Optimization model of unascertained measurement for underground mining method selection and its application. J. Cent. South. Univ. Technol., 2010, 17(4), 744–749.

  • Liu, G. S., Qi, C. M., Nie, C. L. and Hu, J., Set Pair analysis of slope stability evaluation based on combination weighting game theory. J. Yangtze. River. Sci. Res. Ins., 2014, 31(6), 83–88 (in Chinese).

  • Shang, J. L., Hu, J. H., Mo, R. S., Luo, X. W. and Zhou, K. P., Predication model of game theory-matter-element extension for blastability classification and its application. J. Min. Saf. Eng., 2013, 31(1), 86–92 (in Chinese).

  • Zou, Q., Zhou, J. Z., Zhou, C., Song, L. X. and Guo, J., Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP. Stoch. Environ. Res. Risk. Assess., 2013, 27(2), 525–546.

  • Kaya, T. and Kahraman, C., Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul. Energy, 2010, 35(6), 2517–2527.

  • Lu, H., Yi, G. D., Tan, J. R. and Liu, Z. Y., Collision avoidance decision-making model of multi-agents in virtual driving environment with analysis hierarchy process. Chin. J. Mech. Eng.-En, 2008, 21(1), 47–52.

  • Liu, H., Wang, W. P. and Zhang, Q. S., Multi-objective location-routing problem of reverse logistics based on GRA with entropy weight. Grey Syst: Theory. Appl., 2012, 2(2), 249–258.

  • Dong, Q. J., Ai, X. S., Cao, G. J., Zhang, Y. M. and Wang, X. J., Study on risk assessment of water security of drought periods based on entropy weight methods. Kybernetes., 2010, 39(6), 864–870.

  • Hambali, A., Sapuan, S. M., Ismail, N. and Nukman, Y., Material selection of polymeric composite automotive bumper beam using analytical hierarchy process. J. Cent. South. Univ. Technol., 2010, 17, 244–256.

  • Wang, T., Chen, J. S. and Wang, T., Entropy weight-set pair analysis (SPA) for dam leakage detection. Chin. J. Geot. Eng., 2014, 36(11), 2135–2143 (in Chinese).

  • Xue, J. G., Zhou, J., Shi, X. Z., Wang, H. Y. and Hu, H. Y., Assessment of classification for rock mass blastability based on entropy coefficient of attribute recognition model. J. Cent. South. Univ: Sci. Technol., 2010, 41(1), 251–256 (in Chinese).

  • Zou, Z. H., Yun, Y. and Sun, J. N., Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. J. Environ. Sci., 2006, 18(5), 1020–1023.

  • Gu, H. and Song, B. F., Study on effectiveness evaluation of weapon systems based on grey relational analysis and TOPSIS. J. Syst. Eng. Electron., 2009, 20(1), 106–111.

  • Zhang, Q. L., Cheng, J., Wang, X. M., Zeng, J. L. and Song, G. C., Mining method optimization based on GRA and weighted TOPSIS method. Sci. Technol. Rev., 2013, 31(31), 38–42 (in Chinese).

  • Chen, M. F. and Tzeng, G. H., Combining grey relation and TOPSIS concepts for selecting an expatriate host country. Math. Comput. Model., 2004, 40(13), 1473–1490.


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  • Optimization for Blasting Scheme of Crown-Sill Pillar Based on CW-GT and GC-WTOPSIS

Abstract Views: 241  |  PDF Views: 75

Authors

Qiucai Zhang
School of Nuclear Resources Engineering, University of South China, Hengyang, Hunan 421001, China
Lei Zuo
School of Nuclear Resources Engineering, University of South China, Hengyang, Hunan 421001, China
Qing Yu
School of Nuclear Resources Engineering, University of South China, Hengyang, Hunan 421001, China
Yulong Liu
School of Nuclear Resources Engineering, University of South China, Hengyang, Hunan 421001, China
Yushan Yang
School of Nuclear Resources Engineering, University of South China, Hengyang, Hunan 421001, China
Dexing Ding
School of Nuclear Resources Engineering, University of South China, Hengyang, Hunan 421001, China

Abstract


Blasting scheme for crown-sill pillar of a lead–zinc mine was optimized by a new combination optimization model on the basis of CW-GT and GC-WTOPSIS. Nine main evaluation indices influencing blasting were chosen from economy, technology and safety aspects to establish the synthetic evaluation index system of four blasting schemes. Then the synthetic superiority degrees of the four schemes were determined with the basic theory of CW-GT and GC-WTOPSIS. Scheme- III (burn cut, inclined hole and side collapse with an angle of 80°) had the highest superiority degree and hence was confirmed as the best. The result was consistent with AHP-TOPSIS, BP neural network and catastrophe progressing model. The practice showed that the selected blasting scheme achieved the desired blasting effect, and the new method was suitable for optimization of blasting scheme, which provided a new way for scientific and reliable optimization of similar programmes.

Keywords


Blasting Scheme, Combination Weight Based on Game Theory, CW-GT, GC-WTOPSIS.

References





DOI: https://doi.org/10.18520/cs%2Fv115%2Fi1%2F122-128