Disc cutters plane layout design of the full-face rock tunnel boring machine (TBM) based on different layout patterns

The quality of plane layout design of the disc cutters for the full-face rock tunnel boring machine (TBM) directly affects the balance of force distribution on the cutter head during the excavating. Various layout patterns have been adopted in practice during the layout design of the disc cutters. Considering the engineering technical requirements and the corresponding structure design requirements of the cutter head, this study formulates a nonlinear multi-objective mathematical model with multiple constraints for the disc cutters plane layout design, and analyses the characteristics of a multi-spiral layout pattern, a dynamic star layout pattern and a stochastic layout pattern. And then a genetic algorithm is employed to solve a disc cutters' multi-spiral layout problem, and a cooperative co-evolutionary genetic algorithm (CCGA) is utilized to solve a disc cutters' star or stochastic layout problems. The emphasis was put on the study of superiority of three different layout patterns. Finally, an instance of the disc cutters' plane layout design was solved by the proposed methods using three different kinds of layout patterns. Experimental results showed the effectiveness of the method of combining the mathematical model with the algorithms, and the pros and cons of the three layout patterns.

[1]  Thomas Jansen,et al.  The Cooperative Coevolutionary (11) EA , 2004, Evolutionary Computation.

[2]  W. Daniel Hillis,et al.  Co-evolving parasites improve simulated evolution as an optimization procedure , 1990 .

[3]  R. A. Snowdon,et al.  A study of disc cutting in selected British rocks , 1982 .

[4]  M. G. Bhatt,et al.  An alternative multiple attribute decision making methodology for solving optimal facility layout design selection problems , 2011, Comput. Ind. Eng..

[5]  Kenneth A. De Jong,et al.  A Cooperative Coevolutionary Approach to Function Optimization , 1994, PPSN.

[6]  F D Wang,et al.  MECHANICAL TUNNEL BORING PREDICTION AND MACHINE DESIGN , 1979 .

[7]  Qiuming Gong,et al.  Numerical simulation of rock fragmentation process induced by two TBM cutters and cutter spacing optimization , 2006 .

[8]  Saffet Yagiz,et al.  Application of Tunnel Boring Machines in Underground Mine Development , 2001 .

[9]  Mustahsan Mir,et al.  A hybrid optimization approach for layout design of unequal-area facilities , 2001 .

[10]  Volker Claus,et al.  Evolutionary Algorithms and their Application , 1996 .

[11]  Richard E. Gertsch,et al.  Rock toughness and disc cutting , 2000 .

[12]  Andries Petrus Engelbrecht,et al.  A Cooperative approach to particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[13]  Krishna K. Krishnan,et al.  Design of robust layout for Dynamic Plant Layout Problems , 2011, Comput. Ind. Eng..

[14]  Hong-fei Teng,et al.  Human-computer cooperative layout design method and its application , 2008, Comput. Ind. Eng..

[15]  J. Rostami,et al.  Disc cutting tests in Colorado Red Granite: Implications for TBM performance prediction , 2007 .

[16]  Wang Mengshu STUDY REVIEW ON THE INTERACTION BETWEEN DISK CUTTER AND ROCK , 2005 .

[17]  M. Adel El-Baz,et al.  A genetic algorithm for facility layout problems of different manufacturing environments , 2004, Comput. Ind. Eng..

[18]  Jian Zhao,et al.  Numerical modelling of the effects of joint spacing on rock fragmentation by TBM cutters , 2005 .

[19]  Ali Taghavi,et al.  A heuristic procedure for the integrated facility layout design and flow assignment problem , 2011, Comput. Ind. Eng..