scholarly journals Intelligent decision method for main control parameters of tunnel boring machine based on multi-objective optimization of excavation efficiency and cost

2021 ◽  
Vol 116 ◽  
pp. 104054
Author(s):  
Bin Liu ◽  
Yaxu Wang ◽  
Guangzu Zhao ◽  
Bin Yang ◽  
Ruirui Wang ◽  
...  
Keyword(s):  
Tunnel Boring Machine ◽  
Control Parameters ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Tunnel Boring ◽  
Decision Method ◽  
Intelligent Decision

scholarly journals The multi-objective optimization of tunneling boring machine control based on geological conditions identification

2020 ◽  
Vol 1 (1) ◽  
pp. 87-105
Author(s):  
Hongyuan Wang ◽  
Jingcheng Wang
Keyword(s):  
Objective Function ◽  
Nearest Neighbor ◽  
Tunnel Boring Machine ◽  
Geological Condition ◽  
Content Type ◽  
Multi Objective ◽  
Tunnel Boring ◽  
Geological Conditions ◽  
Optimization Control ◽  
Accuracy Of Prediction

PurposeThe purpose of this paper aims to design an optimization control for tunnel boring machine (TBM) based on geological identification. For unknown geological condition, the authors need to identify them before further optimization. For fully considering multiple crucial performance of TBM, the authors establish an optimization problem for TBM so that it can be adapted to varying geology. That is, TBM can operate optimally under corresponding geology, which is called geology-adaptability.Design/methodology/approachThis paper adopted k-nearest neighbor (KNN) algorithm with modification to identify geological conditions. The modification includes adjustment of weights in voting procedure and similarity distance measurement, which at suitable for engineering and enhance accuracy of prediction. The authors also design several key performances of TBM during operation, and built a multi-objective function. Further, the multi-objective function has been transformed into a single objective function by weighted-combination. The reformulated optimization was solved by genetic algorithm in the end.FindingsThis paper provides a support for decision-making in TBM control. Through proposed optimization control, the advance speed of TBM has been enhanced dramatically in each geological condition, compared with the results before optimizing. Meanwhile, other performances are acceptable and the method is verified by in situ data.Originality/valueThis paper fulfills an optimization control of TBM considering several key performances during excavating. The optimization is conducted under different geological conditions so that TBM has geological-adaptability.

scholarly journals Development of Maintenance plan decision method for Existing bridge groups by Multi-objective Optimization

2004 ◽  
Vol 7 ◽  
pp. 1149-1158 ◽  
Author(s):  
Masaaki KONNO ◽  
Ayaho MIYAMOTO ◽  
Hideaki NAKAMURA ◽  
Jun-ichi ISHIDA
Keyword(s):  
Multi Objective Optimization ◽  
Multi Objective ◽  
Decision Method ◽  
Maintenance Plan

A Nonlinear Multi-Objective Optimal Design for Cutter Head of TBM

2011 ◽  
Vol 80-81 ◽  
pp. 1046-1050
Author(s):  
Jun Cheng ◽  
Ya Dong Gong ◽  
Hai Feng Zhao ◽  
Yue Ming Liu ◽  
Jian Yu Yang
Keyword(s):  
Tunnel Boring Machine ◽  
Optimized Design ◽  
Intelligent Algorithm ◽  
Multi Objective ◽  
Tunnel Boring ◽  
Cutter Wear ◽  
Complex Constraints ◽  
Set Up ◽  
Cutter Head ◽  
Novel Model

This paper presents a novel model of lay out of cutter head of TBM(tunnel boring machine). Rock-broken mechanism during the operation of the cutter head is analyzed to study the layout of cutters. A model of the cutters under the action of forces during TBM’s working has therefore been developed, thus proposing a scheme to improve the rock breakability of TBM’s cutter head on which the cutters are lay out. Then, a nonlinear multi-objective mathematical model with complex constraints is developed, with an optimization program provided via an intelligent algorithm for the layout design of cutters on the cutter head of a TBM. The cutter head of an EPB6.28 TBM, an optimized design is given to set up a prototype with digitized cutter head, to which a simulation is done for the verification of equilibrium of forces. Comparing analytically the cutter wear and equilibrium of forces between a previous and a newly designed cutter heads, the results shows digitally that the new one is more practicable than the previous one.

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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