Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic

2013 ◽  
Vol 73 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Ebrahim Ghasemi ◽  
Saffet Yagiz ◽  
Mohammad Ataei
Keyword(s):  
Fuzzy Logic ◽  
Hard Rock ◽  
Penetration Rate ◽  
Tunnel Boring Machine ◽  
Tunnel Boring ◽  
Rock Tunnel

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.

An Adaptive Robust Control for Hard Rock Tunnel Boring Machine Cutterhead Driving System

2015 ◽  
Author(s):  
Chengjun Shao ◽  
Jianfeng Liao ◽  
Xiuliang Li ◽  
Hongye Su
Keyword(s):  
Robust Control ◽  
Dynamic Model ◽  
External Force ◽  
Hard Rock ◽  
Tunnel Boring Machine ◽  
Adaptive Robust Control ◽  
Driving System ◽  
Tunnel Boring ◽  
Rock Tunnel ◽  
Hard Rock Tbm

The cutterhead driving system of tunnel boring machine is one of the key components for rock cutting and excavation. In this paper, a generalized nonlinear time-varying dynamic model is established for the hard rock TBM cutterhead driving system. Parametric uncertainties and nonlinearities and unknown disturbances exist in the dynamic model. An adaptive robust control strategy is proposed to compensate the uncertainties and nonlinearities to achieve precise cutterhead rotation speed control. In order to simulate the comprehensive performances of adaptive robust control controller, three different kinds of external force disturbances are added in this model. Compared to the traditional PID, ARC can effectively handle the different kinds of external force disturbances with sufficient small tracking errors.

Multi-Objective Inversion Design of Cutting Head by Hard Rock Boring Machine Based on Fuzzy Theory and Genetic Algorithms

2011 ◽  
Vol 199-200 ◽  
pp. 1331-1334 ◽  
Author(s):  
Qiang Zhang ◽  
Qiu Shuang Song ◽  
Shou Ju Li ◽  
Ying Tian
Keyword(s):  
Tool Wear ◽  
Hard Rock ◽  
Design Method ◽  
Fuzzy Theory ◽  
Tunnel Boring Machine ◽  
Multi Objective ◽  
Tunnel Boring ◽  
Cutting Head ◽  
Lower Tool ◽  
Rock Tunnel

Along with the shearer's developed in the mining process, especially the rock tunnel boring roadway driving has become a major factor restricting the efficiency of coal, development of a suitable rock tunnel boring machine is very important, this paper use of rock excavation and after the release of stress concentration broken rock rolling theory, inverse problem approach using indirect parameters of the cutting head of, on the cutting head of the energy efficiency and the lowest maximum, minimum tool wear characteristics of multi-objective, were normalized, transformed into single objective problem, a genetic algorithm. The results showed that: the inversion of multi-objective design method is feasible to design a new type of driving hard rock cutting efficiency of institutions to provide 9%, compared with 20% reduction in energy consumption, lower tool wear 55.2% for the rock tunnel excavation needs.

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