Soft Computing-Based Cutter Layout Design of Rock Tunnel Boring Machine

2009 ◽  
Author(s):  
Zhijie Liu ◽  
Hongfei Teng
Keyword(s):  
Soft Computing ◽  
Tunnel Boring Machine ◽  
Layout Design ◽  
Tunnel Boring ◽  
Rock Tunnel

Cutters Plane Layout Design of the Full-Face Rock Tunnel Boring Machine (TBM) Based on Multi-Spiral Layout Pattern

2011 ◽  
Vol 308-310 ◽  
pp. 1288-1291
Author(s):  
Jun Zhou Huo ◽  
Hai Feng Zhao ◽  
Xu Zhang ◽  
Wei Sun ◽  
Yu Zhao
Keyword(s):  
Mathematical Model ◽  
Tunnel Boring Machine ◽  
Layout Design ◽  
Structure Design ◽  
Tunnel Boring ◽  
Technical Requirements ◽  
Pros And Cons ◽  
Full Face ◽  
Rock Tunnel ◽  
Cutter Head

The multi-spiral layout pattern has been widely adopted in practice during the layout design of the 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 cutters plane layout design based on a multi-spiral layout pattern. And then a genetic algorithm is employed to solve a cutters’ multi-spiral layout problem. An instance of the cutters’ plane layout design was solved by the proposed methods using a multi-spiral layout pattern. Experimental results showed the effectiveness of the method of combining the mathematical model with the algorithms, and the pros and cons of the multi-spiral layout pattern.

scholarly journals A New System to Evaluate Comprehensive Performance of Hard-Rock Tunnel Boring Machine Cutterheads

2019 ◽  
Vol 32 (1) ◽  
Author(s):  
Ye Zhu ◽  
Wei Sun ◽  
Junzhou Huo ◽  
Zhichao Meng
Keyword(s):  
Stability Index ◽  
Tunnel Boring Machine ◽  
Efficiency Index ◽  
Structure Design ◽  
Cutting Efficiency ◽  
Evaluation Indexes ◽  
Average Value ◽  
Tunnel Boring ◽  
Rock Tunnel ◽  
Thrust And Torque

AbstractThe accurate performance evaluation of a cutterhead is essential to improving cutterhead structure design and predicting project cost. Through extensive research, this paper evaluates the performance of a tunnel boring machine (TBM) cutterhead for cutting ability and slagging ability. This paper propose cutting efficiency, stability, and continuity of slagging as the evaluation indexes of comprehensive cutterhead performance. On the basis of research of true TBM engineering applications, this paper proposes a calculation method for each index. A slagging efficiency index with a ratio of the maximum difference between the slagging amount and average slagging is established. And a slagging stability index with a ratio of the maximum slagging fluctuation and average slagging is presented. Meanwhile, a cutting efficiency index by the weighed average value of multistage rock fragmentation of a cutter’s specific energy is established. The Robbins and China Railway Construction Corporation (CRCC) cutterheads are evaluated. The results show that under the same thrust and torque, the slagging stability of the CRCC scheme is worse, but the slagging continuity of the CRCC scheme is better. The cutting ability index shows that the CRCC cutterhead is more efficient.

scholarly journals Multidisciplinary design optimization of hard rock tunnel boring machine using collaborative optimization

2018 ◽  
Vol 10 (1) ◽  
pp. 168781401875472 ◽  
Author(s):  
Wei Sun ◽  
Xiaobang Wang ◽  
Maolin Shi ◽  
Zhuqing Wang ◽  
Xueguan Song
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Hard Rock ◽  
Tunnel Boring Machine ◽  
Collaborative Optimization ◽  
Optimization Process ◽  
Multidisciplinary Design ◽  
Tunnel Boring ◽  
Geological Conditions ◽  
Rock Tunnel

A multidisciplinary design optimization model is developed in this article to optimize the performance of the hard rock tunnel boring machine using the collaborative optimization architecture. Tunnel boring machine is a complex engineering equipment with many subsystems coupled. In the established multidisciplinary design optimization process of this article, four subsystems are taken into account, which belong to different sub-disciplines/subsytems: the cutterhead system, the thrust system, the cutterhead driving system, and the economic model. The technology models of tunnel boring machine’s subsystems are build and the optimization objective of the multidisciplinary design optimization is to minimize the construction period from the system level of the hard rock tunnel boring machine. To further analyze the established multidisciplinary design optimization, the correlation between the design variables and the tunnel boring machine’s performance is also explored. Results indicate that the multidisciplinary design optimization process has significantly improved the performance of the tunnel boring machine. Based on the optimization results, another two excavating processes under different geological conditions are also optimized complementally using the collaborative optimization architecture, and the corresponding optimum performance of the hard rock tunnel boring machine, such as the cost and energy consumption, is compared and analysed. Results demonstrate that the proposed multidisciplinary design optimization method for tunnel boring machine is reliable and flexible while dealing with different geological conditions in practical engineering.

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