Energy saving analysis of segment positioning in shield tunneling machine considering assembling path optimization

Hu Shi , Guo-fang Gong , Hua-yong Yang , Xue-song Mei

Journal of Central South University ›› 2014, Vol. 21 ›› Issue (12) : 4526 -4536.

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Journal of Central South University ›› 2014, Vol. 21 ›› Issue (12) : 4526 -4536. DOI: 10.1007/s11771-014-2457-7
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Energy saving analysis of segment positioning in shield tunneling machine considering assembling path optimization

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Abstract

A motion parameter optimization method based on the objective of minimizing the total energy consumption in segment positioning was proposed for segment erector of shield tunneling machine. The segment positioning process was decomposed into rotation, lifting and sliding actions in deriving the energy calculation model of segment erection. The work of gravity was taken into account in the mathematical modeling of energy consumed by each actuator. In order to investigate the relationship between the work done by the actuator and the path moved along by the segment, the upward and downward directions as well as the operating quadrant of the segment erector were defined. Piecewise nonlinear function of energy was presented, of which the result is determined by closely coupled components as working parameters and some intermediate variables. Finally, the effectiveness of the optimization method was proved by conducting a case study with a segment erector for the tunnel with a diameter of 3 m and drawing comparisons between different assembling paths. The results show that the energy required by assembling a ring of segments along the optimized moving path can be reduced up to 5%. The method proposed in this work definitely provides an effective energy saving solution for shield tunneling machine.

Keywords

energy saving / segment erector / work of gravity / path optimization / shield tunneling machine

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Hu Shi, Guo-fang Gong, Hua-yong Yang, Xue-song Mei. Energy saving analysis of segment positioning in shield tunneling machine considering assembling path optimization. Journal of Central South University, 2014, 21(12): 4526-4536 DOI:10.1007/s11771-014-2457-7

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