基于可解释机器学习和多目标优化的盾构邻近下穿隧道施工既有隧道变形控制

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

Automation in Construction Pub Date : 2024-12-24 DOI:10.1016/j.autcon.2024.105943

Hongyu Chen, Jun Liu, Geoffrey Qiping Shen, Zongbao Feng

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引用次数: 0

摘要

为减少盾构相邻下穿隧道施工引起的既有隧道变形，提出了一种混合智能框架。建立了用于现有隧道变形预测的贝叶斯优化自然梯度助推（BO-NGBoost）模型，并利用Shapley加性解释（SHAP）方法分析了该模型的可解释性。采用基于分解的多目标进化算法（MOEA/D）对结构参数进行优化。以武汉地铁为例，验证了该方法的适用性和有效性。结果表明：(1)所建立的BO-NGBoost既有隧道变形预测模型具有较高的精度。(2)通过SHAP分析，识别各输入参数对既有隧道变形的重要程度，确定关键盾构优化参数。(3)采用所开发的BO-NGBoost-MOEA/D算法对关键参数进行优化，有效控制既有隧道变形。

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Control of existing tunnel deformation caused by shield adjacent undercrossing construction using interpretable machine learning and multiobjective optimization

A hybrid intelligent framework is proposed in this paper to reduce the existing tunnel deformation caused by shield adjacent undercrossing construction (SAUC). A Bayesian optimization natural gradient boosting (BO-NGBoost) model for existing tunnel deformation prediction is developed, and the Shapley additive explanations (SHAP) approach is used to analyze the interpretability of the prediction model. The multiobjective evolutionary algorithm based on decomposition (MOEA/D) is used to optimize the construction parameters. The applicability and validity of the proposed method are tested in a case study from the Wuhan Metro. The results indicate that (1) the established BO-NGBoost existing tunnel deformation prediction model shows high accuracy. (2) Through SHAP analysis, the importance of each input parameter to the existing tunnel deformation is identified, and the key shield optimization parameters are defined. (3) By using the developed BO-NGBoost-MOEA/D algorithm to optimize the key parameters, the existing tunnel deformation is effectively controlled.

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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.