Cutter layout method for circular cutterhead of shield tunneling machine
By constructing a CSM model and the Grey Wolf optimization algorithm, combined with a tabu search strategy, the tool layout of the tunnel boring machine cutterhead is solved automatically, which solves the problems of low design efficiency and easy getting trapped in local optima in the existing technology, and realizes efficient and accurate tool layout design.
CN122087986APending Publication Date: 2026-05-26MACAU UNIV OF SCI & TECH +2
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Patent Information
- Application Number
- CN202610189888.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-10
- Publication Date
- 2026-05-26
AI Technical Summary
Technical Problem
The current design of the cutterhead layout of tunnel boring machines relies on manual experience, resulting in low solution efficiency, easy getting trapped in local optima, and difficulty in balancing mechanical equilibrium and multiple engineering constraints.
Method used
By employing a mechanical objective function based on the CSM model and multiple constraints, combined with the Grey Wolf optimization algorithm and tabu search strategy, the tool layout is automatically solved through continuous encoding and global iterative optimization.
Benefits of technology
This improved the mechanical balance of the cutterhead, increased design efficiency, reduced trial and error costs in manufacturing and construction, and ensured the accuracy and robustness of the tool layout.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to the technical field of shield tunneling machine design, and discloses a cutter layout method for a circular cutter head of a shield tunneling machine, and the method comprises the steps: constructing a cutter layout mathematical model combined with cutting force data of a CSM model, and determining optimization targets and constraint conditions of minimum eccentric force and eccentric torque; mapping the discrete arrangement into a continuous vector initialization grey wolf population by adopting a continuous coding strategy, and calculating a fitness value; executing global iteration of a grey wolf optimization algorithm, and guiding population updating by using social levels; embedding a tabu search strategy in global iteration, and executing local neighborhood search on an optimal individual to generate and preferentially replace an optimal solution; and finally, outputting a tool layout scheme and carrying out feasibility verification. According to the method, through cooperation of the grey wolf algorithm and the tabu search, the problem that the cutter layout is prone to falling into local optimum is effectively solved, the mechanical balance and the solving efficiency of cutter head design are improved, and the design and production cost is reduced.
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