Attention-enhanced generative design of disc cutter layout for shield TBM considering multi-working conditions

IF 7.4 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Tunnelling and Underground Space Technology Pub Date : 2025-10-15 DOI:10.1016/j.tust.2025.107166

Zhuang Xia , Jiaqi Wang , Yongsheng Li , Limao Zhang

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引用次数: 0

Abstract

The widespread application of Tunnel Boring Machines (TBMs) in composite strata and variable geological conditions poses significant challenges to the generalizability and robustness of cutter layout design. This paper introduces a robust generative design method for cutter layouts considering multi-working conditions, aiming to enhance excavation efficiency and safety in diverse geological settings. An attention-enhanced meta-model is trained using the dataset constructed via parametric dynamic analysis and subsequent post-processing. A multi-objective optimization (MOO) method, guided by a multi-condition evaluation, generates a Pareto optimal set, from which the optimal solution is selected using multi-attribute decision-making (MADM). A case study involving a TBM excavating through representative ground conditions validated the method’s feasibility, demonstrating 14.34 %, 33.71 %, and 2.63 % improvements across different working conditions while maintaining safety standards. This study contributes a generative design method integrating a graph attention meta-model and multi-condition evaluation strategy, and an efficient generative system based on a co-simulation platform.

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考虑多工况的盾构掘进机盘刀布置注意增强生成设计

隧道掘进机在复合地层和多变地质条件下的广泛应用，对刀具布置设计的通用性和鲁棒性提出了重大挑战。本文介绍了一种考虑多种工况的刀具布局鲁棒生成设计方法，旨在提高不同地质条件下的开挖效率和安全性。使用参数动态分析和后续后处理构建的数据集训练注意力增强元模型。多目标优化方法以多条件评价为指导，生成Pareto最优集，并利用多属性决策（MADM）从中选择最优解。一个涉及TBM在代表性地面条件下挖掘的案例研究验证了该方法的可行性，在保持安全标准的情况下，不同工作条件下的改进率分别为14.34%、33.71%和2.63%。本研究提出了一种结合图注意力元模型和多条件评价策略的生成设计方法，以及一种基于协同仿真平台的高效生成系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Tunnelling and Underground Space Technology 工程技术-工程：土木

CiteScore

11.90

自引率

18.80%

发文量

454

审稿时长

10.8 months

期刊介绍： Tunnelling and Underground Space Technology is an international journal which publishes authoritative articles encompassing the development of innovative uses of underground space and the results of high quality research into improved, more cost-effective techniques for the planning, geo-investigation, design, construction, operation and maintenance of underground and earth-sheltered structures. The journal provides an effective vehicle for the improved worldwide exchange of information on developments in underground technology - and the experience gained from its use - and is strongly committed to publishing papers on the interdisciplinary aspects of creating, planning, and regulating underground space.