Multi-objective optimization control for shield cutter wear and cutting performance using LightGBM and enhanced NSGA-II

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-01-13 DOI:10.1016/j.autcon.2024.105957

Ziwei Yin, Jianwei Jiao, Ping Xie, Hanbin Luo, Linchun Wei

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引用次数: 0

Abstract

Varying results in cutter wear and cutting performance can be observed based on different selections of shield operational parameters, particularly in hard rock or soil with a high quartz content. Improperly selecting operational parameters may result in excessive wear and reduced cutting performance, leading to longer project duration and increased costs. Furthermore, it is still challenging to balance cutter wear and cutting performance. To address these issues, a multi-objective optimization (MOO) framework based on the Light Gradient Boosting Machine (LightGBM) algorithm and the enhanced non-dominated sorting genetic-II (NSGA-II) algorithm is proposed to predict and optimize the cutter wear and cutting performance. To validate this framework, a shield tunneling project in China is presented. The results show that the efficiency and accuracy of predicting and optimizing the two objectives have been improved compared with other common methods. This MOO framework is valuable for operators to formulate rational operational control strategies.

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基于LightGBM和增强型NSGA-II的盾构刀磨损和切削性能多目标优化控制

根据盾构操作参数的不同选择，可以观察到刀具磨损和切削性能的不同结果，特别是在石英含量高的硬岩石或土壤中。如果作业参数选择不当，可能会造成磨损过大，降低切削性能，延长工程工期，增加成本。此外，平衡刀具磨损和切削性能仍然具有挑战性。针对这些问题，提出了基于光梯度增强机（Light Gradient Boosting Machine, LightGBM）算法和增强型非支配排序遗传- ii （non- dominance sorting genetic-II, NSGA-II）算法的多目标优化（MOO）框架，对刀具磨损和切削性能进行预测和优化。为了验证这一框架，介绍了中国盾构隧道工程。结果表明，与其他常用方法相比，预测和优化这两个目标的效率和精度都有所提高。该MOO框架可为作业者制定合理的作业控制策略提供参考。

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

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.