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工程设计学报
工程设计学报  2022, Vol. 29 Issue (1): 1-9    DOI: 10.3785/j.issn.1006-754X.2022.00.014
设计理论与方法     
盾构螺旋输送机适应性设计智能决策
王碧海1, 张健1, 陈永亮2, 彭庆金3, 顾佩华2
1.汕头大学 工学院， 广东 汕头 515063
2.天津大学 机械工程学院， 天津 300072
3.曼尼托巴大学 机械工程系， 曼尼托巴 温尼伯 R3T 2N2
Intelligent decision for adaptive design of shield screw conveyor
WANG Bi-hai1, ZHANG Jian1, CHEN Yong-liang2, PENG Qing-jin3, GU Pei-hua2
1.College of Engineering， Shantou University， Shantou 515063， China
2.School of Mechanical Engineering， Tianjin University， Tianjin 300072， China
3.Department of Mechanical Engineering， University of Manitoba， Winnipeg R3T 2N2， Canada
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摘要： 螺旋输送机作为土压平衡式盾构的重要功能部件之一，常常需要进行设计调整以满足新的工程需求。但是，设计调整容易导致产品指标发生过量变动，进而对产品的可靠性、安全性和可维护性等产生负面影响。为最大化重用已有的、经过工程验证的设计方案，降低设计调整的负面影响，提出了一种盾构螺旋输送机适应性设计智能决策方法。首先，收集盾构螺旋输送机的产品指标和设计参数以构建产品数据集，并通过依赖性分析和相关性分析分别建立其产品指标与设计参数间的依赖性矩阵和相关性矩阵；然后，基于产品指标与设计参数之间的相关性进行层次聚类，得到不同的产品元素集群，进而标定设计调整过程中产品指标变动的影响范围；接着，结合依赖性矩阵和层次聚类结果，识别不同集群中各产品指标所对应的关键设计参数；最后，利用神经网络构建产品指标-设计参数回归预测模型，并通过搜寻得到对新的产品指标需求具有较好适应性的设计参数调整方案。通过对盾构螺旋输送机产品指标的需求值与预测值进行对比分析后发现，其平均绝对百分比误差（mean absolute percentage error，MAPE）为3.964 7%，且达成度为96.04%，基本满足设计要求。结果表明，所提出的方法能够准确标定盾构螺旋输送机产品指标变动的潜在影响范围，可有效识别产品指标所依赖的关键设计参数，并实现关键设计参数的智能求解，其不仅可为盾构螺旋输送机的适应性设计提供决策支持，还可为满足个性化、差异化需求的产品适应性设计提供技术借鉴。
Abstract: As one of the important functional components of earth-pressure balance shield, the screw conveyor often needs to be adjusted in design to meet new engineering requirements. However, the design adjustment is easy to lead to excessive changes in product indicators, which will have a negative impact on the reliability, safety and maintainability of products. In order to maximize the reuse of the existing design scheme verified by engineering and reduce the negative impact of design adjustments, an intelligent decision method for the adaptive design of shield screw conveyor was proposed. Firstly, the product indicators and design parameters of the shield screw conveyor were collected to construct the product data set, and the dependency matrix and the correlation matrix between product indicators and design parameters were established through the dependency analysis and correlation analysis, respectively; then, based on the correlation between product indicators and design parameters, the hierarchical clustering was carried out to obtain different product element clusters, and the influence scope of product indicator changes in the process of design adjustment was calibrated; and then, the key design parameters corresponding to each product indicator in the different clusters were identified by combining the dependency matrix and hierarchical clustering results; finally, the neural network was used to construct the regression prediction model of product indicator-design parameter, and the design parameter adjustment schemes with relatively good adaptability to new product indicator requirements were obtained through search. Through the comparative analysis of the demand value and predicted value of the product indicator of shield screw conveyor, it was found that its mean absolute percentage error (MAPE) was 3.964 7%, and the achievement degree was 96.04%, which basically met design requirements. The results show that the proposed method can accurately calibrate the potential influence range of the product indicator change of shield screw conveyor, effectively identify the key design parameters on which the product indicator depends, and realize the intelligent solution of key design parameters. It can not only provide decision support for the adaptive design of shield screw conveyors, but also provide technical reference for the product adaptive design to meet personalized and differentiated requirements.
收稿日期: 2021-06-03 出版日期: 2022-02-28
CLC:  TH 122  
基金资助: 国家重点研发计划资助项目（2018YFB1701700）
通讯作者: 张 健（1982—），男，湖北武汉人，教授，博士，从事设计理论与方法研究，E-mail：jianzhang@stu.edu.cn     E-mail: jianzhang@stu.edu.cn
作者简介: 王碧海（1996—），男，广东汕头人，硕士生，从事可适应设计研究，E-mail：19bhwang@stu.edu.cn，https：//orcid.org/0000-0003-2808-750X；
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引用本文:

王碧海, 张健, 陈永亮, 彭庆金, 顾佩华. 盾构螺旋输送机适应性设计智能决策[J]. 工程设计学报, 2022, 29(1): 1-9.

WANG Bi-hai, ZHANG Jian, CHEN Yong-liang, PENG Qing-jin, GU Pei-hua. Intelligent decision for adaptive design of shield screw conveyor[J]. Chinese Journal of Engineering Design, 2022, 29(1): 1-9.

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https://www.zjujournals.com/gcsjxb/CN/10.3785/j.issn.1006-754X.2022.00.014    或    https://www.zjujournals.com/gcsjxb/CN/Y2022/V29/I1/1

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