长沙理工大学学报（自然科学版）2025，Vol.22Issue(1)：49-61,13.DOI:10.19951/j.cnki.1672-9331.20240814001
数据与机理融合的盾构土压预测与协同优化
Earth pressure prediction and collaborative optimization of shield machine based on integration of data and mechanism
摘要
Abstract
[Purposes]In order to solve the problem that the measured sample data of earth pressure balance of shield machines are unevenly distributed,resulting in low accuracy of the earth pressure prediction model,mechanism model data were introduced to construct an earth pressure prediction model of shield machines based on the integration of data and mechanism.[Methods]The mechanism model of the earth pressure of shield machines was established based on geotechnical mechanics.The earth pressure prediction model was established by integrating the mechanism model data and the measured data using several multi-fidelity surrogate models.Then,the complementary advantages of the measured data and the mechanism model data were fused by comparing the optimal earth pressure prediction model of shield machines.Finally,a multi-objective collaborative optimization strategy for the earth pressure of shield machines was proposed,which realized the collaborative optimization of the earth pressure of shield machines in different directions.[Findings]The prediction results of the earth pressure of shield machines show that compared with the prediction model based only on measured data,the introduction of the mechanism model data greatly improves the prediction accuracy,and the optimal coefficient of determination of prediction results is increased from 0.941 to 0.977.The optimization test results of the earth pressure of shield machines in different directions show that the overall root mean square error of the optimized earth pressure is significantly reduced,with a decrease of about 14.47%.[Conclusions]Introducing mechanism model data can improve the accuracy of the earth pressure prediction model of shield machines.The variation range of earth pressure in different directions has been greatly reduced after collaborative optimization,which provides new methods for earth pressure prediction and collaborative optimization of shield machines.关键词
盾构/土压/预测/实测数据/机理模型/协同优化Key words
shield machine/earth pressure/prediction/measured data/mechanism model/collaborative optimization分类
交通运输引用本文复制引用
石茂林,邓梦楠,张丽,孙清超..数据与机理融合的盾构土压预测与协同优化[J].长沙理工大学学报（自然科学版）,2025,22(1):49-61,13.基金项目
国家重点研发计划项目(2022YFC3802304) （2022YFC3802304）
博士后基金面上项目(2022M711388) （2022M711388）
特殊服役环境的智能装备制造国际科技合作基地开放基金资助项目(ISTC2022KF03) （ISTC2022KF03）
江苏大学高级人才启动基金资助项目(20JDG068) Project(2022YFC3802304)supported by the National Key R&D Program of China （20JDG068）
Project(2022M711388)supported by China Postdoctoral Science Foundation （2022M711388）
Project(ISTC2022KF03)supported by the Open Fund Project of China International Science and Technology Cooperation Base on Intelligent Equipment Manufacturing in Special Service Environment （ISTC2022KF03）
Project(20JDG068)supported by Senior Talent Start-up Fund of Jiangsu University （20JDG068）
