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基于聚合代理模型的土压平衡盾构刀盘轻量化设计方法 被引量:3

Lightweight design method of earth pressure balance shield cutter head based on ensemble surrogate model
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摘要 针对现有盾构刀盘轻量化设计计算成本高、多依赖经验的不足,提出一种基于聚合代理模型的土压平衡盾构刀盘轻量化设计方法。通过熵权TOPSIS综合贡献度分析筛选出对刀盘质量、最大变形和最大应力影响显著的结构参数作为设计变量,采用加权径向基函数模型、Kriging模型和支持向量回归模型的聚合代理模型来拟合设计变量与最大变形和最大应力约束响应间的隐式关系。在上述基础上构建了土压平衡盾构刀盘轻量化设计模型,并以序列二次规划算法进行优化求解。有限元仿真实验结果表明,所提出的轻量化设计方法实现土压平衡盾构刀盘减重7.44%,且能满足刀盘应力和变形要求,轻量化效果良好。 Aiming at reducing the high computational costs and over-reliance on experience in the lightweight design for Earth Pressure Balance(EPB) shield cutter head, a lightweight design method based on ensemble surrogate model was proposed. Through the entropy weight TOPSIS analysis, three structural parameters that had significant impacts on the performance response of the shield cutter head(weight, maximum deformation and maximum stress) were selected as the design variables. Based on the radial basis function model, Kriging model and support vector regression model, the ensemble surrogate model was used to fit the implicit relationship between the design variables and performance responses. The lightweight design model of EPB shield cutter head was constructed and optimized by sequential quadratic programming algorithm. The finite element analysis results showed that the proposed method could reduce the weight by 7.44%, which met the requirements of stress and deformation and had a good lightweight effect.
作者 马军 尹春洋 李医中 曹阳 李晓科 韩新雨 范磊 MA Jun;YIN Chunyang;LI Yizhong;CAO Yang;LI Xiaoke;HAN Xinyu;FAN Lei(Henan Provincial Key Laboratory of Intelligent Manufacturing of Mechanical Equipment,Zhengzhou University of Light Industry,Zhengzhou 450002,China;China Railway Engineering Equipment Group Co.,Ltd.,Zhengzhou 450016,China)
出处 《计算机集成制造系统》 EI CSCD 北大核心 2023年第1期310-319,共10页 Computer Integrated Manufacturing Systems
基金 国家自然科学基金资助项目(51905492) 河南省高等学校青年骨干教师资助计划资助项目(2021GGJS090)。
关键词 土压平衡盾构机 刀盘 聚合代理模型 轻量化设计 熵权TOPSIS earth pressure balance shield cutter head ensemble surrogate model lightweight design entropy weight TOPSIS
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