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

作　　者：石茂林 邓梦楠 张丽 孙清超[4] SHI Maolin;DENG Mengnan;ZHANG Li;SUN Qingchao(School of Agricultural Engineering,Jiangsu University,Zhenjiang 212013,China;School of Mechanical Engineering,Jiangsu University,Zhenjiang 212013,China;School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China;School of Mechanical Engineering,Dalian University of Technology,Dalian 116024,China)

机构地区：[1]江苏大学农业工程学院,江苏镇江212013 [2]江苏大学机械工程学院,江苏镇江212013 [3]江苏大学电气信息工程学院,江苏镇江212013 [4]大连理工大学机械学院,辽宁大连116024

出　　处：《长沙理工大学学报(自然科学版)》2025年第1期49-61,共13页Journal of Changsha University of Science & Technology:Natural Science

基　　金：国家重点研发计划项目(2022YFC3802304);博士后基金面上项目(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);江苏大学高级人才启动基金资助项目(20JDG068)。

摘　　要：【目的】针对土压平衡盾构实测数据样本分布不均导致土压预测模型精度不高的问题,引入机理模型数据,构建数据与机理融合的盾构土压预测模型。【方法】首先,基于岩土力学建立盾构土压的机理模型,利用多种多保真度代理模型,将实测数据与机理模型数据进行融合,构建土压预测模型。然后,通过对比分析确定最优的盾构土压预测模型,实现实测数据与机理模型的优势互补。最后,提出了盾构土压多目标协同优化策略,实现了盾构多点土压的协同优化。【结果】盾构土压预测结果表明,相比于仅基于实测数据的预测模型,机理模型数据的引入能够大幅提升预测精度,预测结果的最优决定系数由0.941提升至0.977;盾构多点土压优化试验结果表明,优化后土压的整体均方根误差显著降低,降幅约为14.47%。【结论】机理模型数据的引入能够提高盾构土压预测模型的精度。不同点位土压的变化幅度在经过协同优化后大幅缩小,为盾构土压的预测与优化提供了新方法。[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 multiobjective 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 

分 类 号：U455.43[建筑科学—桥梁与隧道工程] TP181[交通运输工程—道路与铁道工程] TH122[自动化与计算机技术—控制理论与控制工程]