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Optimal design of structural parameters for shield cutterhead based on fuzzy mathematics and multi-objective genetic algorithm

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Abstract

In order to improve the strength and stiffness of shield cutterhead, the method of fuzzy mathematics theory in combination with the finite element analysis is adopted. An optimal design model of structural parameters for shield cutterhead is formulated, based on the complex engineering technical requirements. In the model, as the objective function of the model is a composite function of the strength and stiffness, the response surface method is applied to formulate the approximate function of objective function in order to reduce the solution scale of optimal problem. A multi-objective genetic algorithm is used to solve the cutterhead structure design problem and the change rule of the stress-strain with various structural parameters as well as their optimal values were researched under specific geological conditions. The results show that compared with original cutterhead structure scheme, the obtained optimal scheme of the cutterhead structure can greatly improve the strength and stiffness of the cutterhead, which can be seen from the reduction of its maximum equivalent stress by 21.2%, that of its maximum deformation by 0.75%, and that of its mass by 1.04%.

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References

  1. HUO Jun-zhou, SHI Yan-jun, TENG Hong-fei, CHAI Rong-feng, ZHANG Li-hua. Cutter layout design of full-face rock tunnel boring machine (TBM) [J]. Journal of Mechanical Engineering, 2008, 19(15): 1832–1836. (in Chinese)

    Google Scholar 

  2. GERTSCH R, GERTSCH L, ROSTAMI J. Disc cutting tests in Colorado Red Granite: Implications for TBM performance prediction [J]. International Journal of Rock Mechanics & Mining Science, 2007, 44(2): 238–246.

    Article  Google Scholar 

  3. JUNG H S, CHOI J M, CHUN B S, PARK J S, LEE Y J. Causes of reduction in shield TBM performance-A case study in Seoul [J]. Tunneling and Underground Space Technology, 2011, 26(3): 453–461.

    Article  Google Scholar 

  4. AIELLO G, DINECHIN D G, FOREST L, GABRIEL F, PUMA A L, RAMPAL G, RIGAL E, SALAVY J F, SIMON H. HCLL TBM design status and development [J]. Fusion Engineering and Design, 2011, 86(10): 2129–2134.

    Article  Google Scholar 

  5. ACAROGLU O, OZDEMIR L, ASBURY B. A fuzzy logic model to predict specific energy requirement for TBM performance prediction [J]. Tunneling and Underground Space Technology, 2008, 23(5): 600–608.

    Article  Google Scholar 

  6. ZHANG Zhao-huang, QIAO Yong-li. Research on the layout of TBM disc cutter [J]. Engineering Mechanics, 2011, 28(5): 172–177. (in Chinese)

    Google Scholar 

  7. SHI Hu, YANG Hua-yong, GONG Guo-fang, WANG Lin-tao. Determination of the cutterhead torque for EPB shield tunneling machine [J]. Automation in Construction, 2011, 20(8): 1087–1095.

    Article  Google Scholar 

  8. XIA Yi-min, OU YANG Tao, ZHANG Xin-ming, LUO De-zhi. Mechanical model of breaking rock and force characteristic of disc cutter [J]. Journal of Central South University, 2012, 19(7): 1846–1852.

    Article  Google Scholar 

  9. WANG Hong-xin. Type selection of the head aperture ratio of EPB shield cutterheads and adaptability to stratum characteristics [J]. China Civil Engineering Journal, 2010, 43(3): 88–92. (in Chinese)

    Google Scholar 

  10. CHENG Jun, GONG Ya-dong, CHEN Tao, CHEN Xiao-gang. ADAMS-based optimal design of tunnel boring machine’s cutter head [J]. Journal of Northeastern University: Natural Science, 2010, 31(6): 882–885. (in Chinese)

    Google Scholar 

  11. HUO Jun-zhou, SUN Wei, CHEN Jing, SU Peng-cheng, DENG Li-ying. Optimal disc cutters plane layout design of the full-face rock tunnel boring machine (TBM) based on a multi-objective genetic algorithm [J]. Journal of Mechanical Science and Technology, 2010, 24(2): 521–528.

    Article  Google Scholar 

  12. ROSTAMI J. Hard rock TBM cutterhead modeling for design and performance prediction [J]. Geomechanics and Tunnelling, 2008, 1(1): 18–28.

    Article  Google Scholar 

  13. WANG Xu, ZHANG Hai-dong, BIAN Ye, LI Tian-ming. On the geological adaptability of shield cutterhead designs [J]. Modern Tunnelling Technology, 2013, 50(3): 108–114.

    Google Scholar 

  14. LIU Zhi-jie, SHI Yan-jun, TENG Hong-fei. Case-based reasoning approach for cutterhead principal parameter design of full face rock tunnel boring machine [J]. Journal of Mechanical Engineering, 2010, 46(3): 158–164. (in Chinese)

    Article  Google Scholar 

  15. GARG H, RANI M, SHARMA S P, VISHWAKARMA Y. Intuitionistic fuzzy optimization technique for solving multi-objective reliability optimization problems in interval environment [J]. Expert Systems with Applications, 2014, 41(7): 3157–3167.

    Article  Google Scholar 

  16. YU Shou-yi, KUANG Su-qiong. Fuzzy adaptive genetic algorithm based on auto-regulating fuzzy rules [J]. Journal of Central South University of Technology, 2010, 17(1): 123–128.

    Article  Google Scholar 

  17. CHAKRABORTTY S, PAL M, NAYAK P K. Intuitionistic fuzzy optimization technique for Pareto optimal solution of manufacturing inventory models with shortages [J]. European Journal of Operational Research, 2013, 228(2): 381–387.

    Article  MathSciNet  Google Scholar 

  18. DEMPE S, RUZIYEVA A. On the calculation of a membership function for the solution of a fuzzy linear optimization problem [J]. Fuzzy Sets and Systems, 2012, 188(1): 58–67.

    Article  MATH  MathSciNet  Google Scholar 

  19. LI Li-jun, YIN Ze-yong, QIAO Wei-yang. Performance optimal design of aircraft engine based on multi-objective genetic algorithms [J]. Journal of Aerospace Power, 2006, 21(1): 13–18.

    Google Scholar 

  20. HUANG Kan, LIU Bao-chen, PENG Jian-guo, FENG De-shan, DING Guo-hua, WANG Yue-fei. Intelligent back analysis of tunnel surrounding rock displacement based on genetic algorithm and neural network [J]. Journal of Central South University (Science and Technology), 2011, 42(1): 213–219. (in Chinese)

    Google Scholar 

  21. JANG S M, CHO H W, CHOI S K. Design and analysis of a high speed brushless DC motor for centrifugal compressor [J]. IEEE Transactions on Magnetics, 2007, 43(6): 2573–2575.

    Article  Google Scholar 

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Correspondence to Yi-min Xia  (夏毅敏).

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Foundation item: Project(51074180) supported by the National Natural Science Foundation of China; Project(2012AA041801) supported by the National High Technology Research and Development Program of China; Project(2007CB714002) supported by the National Basic Research Program of China; Project(2013GK3003) supported by the Technology Support Plan of Hunan Province, China; Project(2010FJ1002) supported by Hunan Science and Technology Major Program, China

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Xia, Ym., Tang, L., Ji, Zy. et al. Optimal design of structural parameters for shield cutterhead based on fuzzy mathematics and multi-objective genetic algorithm. J. Cent. South Univ. 22, 937–945 (2015). https://doi.org/10.1007/s11771-015-2604-9

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  • DOI: https://doi.org/10.1007/s11771-015-2604-9

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