基于变权集对-多维联系正态云模型的TBM地质适应性评价预测

doi:10.3973/j.issn.2096-4498.2023.04.011

中国科学引文数据库（CSCD）来源期刊
中文核心期刊中文科技核心期刊
Scopus RCCSE中国核心学术期刊
美国EBSCO数据库俄罗斯《文摘杂志》
《日本科学技术振兴机构数据库（中国）》

隧道建设（中英文） ›› 2023, Vol. 43 ›› Issue (4): 645-657.DOI: 10.3973/j.issn.2096-4498.2023.04.011

基于变权集对-多维联系正态云模型的TBM地质适应性评价预测

张建明1, 2，侍克斌1, 2， *，巴合特别克·达拉依汗3，善鸿泽1，石仁义1，符涛1，卢志鹏1

（1. 新疆农业大学水利与土木工程学院，新疆乌鲁木齐 830052； 2. 新疆水利工程安全与水灾害防治重点实验室，新疆乌鲁木齐 830052; 3. 新疆额尔齐斯河投资开发（集团）有限公司，新疆乌鲁木齐 830000）

出版日期:2023-04-20 发布日期:2023-05-23
作者简介:张建明（1999—），男，〖JP2〗新疆哈密人，新疆农业大学土木水利专业在读硕士，研究方向为超特长隧洞施工规划及技术。E-mail：zjmchnxj@163.com。*通信作者：侍克斌， E-mail：xndsg@sina.com。

Evaluation and Prediction of TBM′s Geological Adaptability Based on VariableWeight Set PairMultidimensional Linked Normal Cloud Model

ZHANG Jianming1, 2, SHI Kebin1, 2, *, DALAYIHAN Bahetebieke3, SHAN Hongze1, SHI Renyi1, FU Tao1, LU Zhipeng1

(1.College of Hydraulic and Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,Xinjiang,China;2.Xinjiang Key Laboratory of Water Conservancy Engineering Safety and Water Disaster Prevention, Urumqi 830052,Xinjiang,China;3.Xinjiang Erqis River Investment and Development (Group) Co., Ltd., Urumqi 830000,Xinjiang,China)

Online:2023-04-20 Published:2023-05-23

摘要/Abstract

摘要： 为解决TBM地质适应性评估中存在的模糊性及多因素之间相互影响的复杂性难题，在多维云模型的基础上，提出一种基于集对分析与多维云模型相耦合的多维联系正向正态云模型评价方法。通过统计研究分析国内12条隧洞106组TBM地质适应性数据的特征规律，选取设备参数、地质条件、不良地质问题在内的10个典型指标建立评价指标体系。将各评价指标作为多维联系正向正态云模型的一维变量，依据同异反原理与云理论，获取适合的3个云数字特征值，生成各适应性等级下的云滴；继而根据TBM地质适应能力隶属于各适应性等级的综合确定度，采用最大确定度原则判定TBM地质适应性等级，由此综合反映出评价多因素间的确定性与不确定性关系。此外，在IFAHP、改进ICRITIC及改进博弈论组合赋权确定综合常权重的基础上，利用基于因素空间思想的变权理论确定指标总层次排序权重，实现评价过程中指标的主动介入性。经应用于实际表明：变权多维联系正向正态云模型应用于TBM地质适应性倾向评价是可行的，评价准确率达90%，相较于常规多维云模型及其他计算方法，其吻合度更高、计算更简洁。

关键词: TBM地质适应性, TBM适应性倾向, 多维联系云模型, 变权, 集对分析, 评价预测方法, 云模型

Abstract: To solve the problems of ambiguity and multifactor interaction in the geological adaptability assessment of a tunnel boring machine(TBM), a multidimensional relationship forward normal cloud model evaluation method based on set pair analysis coupled with the multidimensional cloud model is proposesd. The characteristics of 12 TBMbased geological adaptability cases in 106 sections of tunnels in China are analyzed. In addition, 10 typical indicators, including equipment parameters, geological conditions, and adverse geological problems, are selected to establish an evaluation index system. Each evaluation index is used as a onedimensional variable of a multidimensional relational forward normal cloud model. According to the principle of isotropy and cloud theory, three appropriate cloud digital feature values are obtained to generate cloud droplets at each adaptive level. Then, according to the comprehensive certainty of the TBM geological adaptability for each adaptive level, the principle of maximum certainty is used to 〖HJ1.6mm〗determine the geological adaptability grade of a TBM. This comprehensively reflects the relationship between certainty and uncertainty between multiple factors in the evaluation. In addition, based on the comprehensive constant weight determined by the IFAHP, improved ICRC, and improved game theory combinatorial empowerment, the variable weight theory based on the factor space idea is used to determine the total level ranking weight of the indicator. Furthermore, the active intervention of indicators in the evaluation process is realized. The results show that the variableweight multidimensional contact normal forward cloud model is feasible for evaluating the geological adaptability tendency of TBMs, and the evaluation accuracy is 90%. Compared with conventional multidimensional cloud models and other calculation methods, the degree of agreement is higher and the calculation is more concise.

Key words: TBM geological adaptability, TBM adaptive tendency, multidimensional contact cloud model, variable weight, set pair analysis, evaluate forecasting method, cloud model

张建明, 侍克斌, 巴合特别克•达拉依汗, 善鸿泽, 石仁义, 符涛, 卢志鹏. 基于变权集对-多维联系正态云模型的TBM地质适应性评价预测[J]. 隧道建设, 2023, 43(4): 645-657.

ZHANG Jianming, SHI Kebin, DALAYIHAN Bahetebieke, SHAN Hongze, SHI Renyi, FU Tao, LU Zhipeng. Evaluation and Prediction of TBM′s Geological Adaptability Based on VariableWeight Set PairMultidimensional Linked Normal Cloud Model[J]. Tunnel Construction, 2023, 43(4): 645-657.

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基于变权集对-多维联系正态云模型的TBM地质适应性评价预测

Evaluation and Prediction of TBM′s Geological Adaptability Based on VariableWeight Set PairMultidimensional Linked Normal Cloud Model

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