摘要
隧道掘进机(TBM)前期投入巨大,合理划分TBM可掘性分级并给出施工参数建议值对预测施工工期、控制成本等有重要意义。以深圳地铁6号线6101标段大浪站石岩站区间羊台山隧道TBM施工项目为背景,首先以贯入度指数FPI为掘进性能评价指标,通过Spearman相关性分析FPI作为评价指标的合理性;在此基础上以FPI为输入参数分别建立掘进贯入度、刀盘推力和掘进速度预测公式,并基于羊台山隧道右线掘进数据进行可靠性验证;基于k-均值聚类方法,以FPI为聚类指标,划分出可掘性等级,并根据掘进参数预测公式,给出了对应可掘性等级的掘进参数建议值。结果表明:(1)FPI能够在一定程度合理反映TBM施工中的岩机关系,可作为掘进性能评价指标;(2)建立的TBM掘进参数预测公式,相关性系数R2分别为0.75、0.98和0.97,相关性良好,能够准确为TBM掘进提供预测参数;(3)根据建立的TBM可掘性分级方法将围岩划分为5级,确定了不同等级下掘进参数值。
Due to the huge investment of tunnel boring machine(TBM)in the early stage,it is of great significance to reasonably classify the excavability of TBM surrounding rock and give the suggested values of construction parameters for predicting the construction period and controlling the cost.The TBM construction project of Yangtaishan hard granite tunnel in the section 6101 of Shenzhen Metro Line 6 between Dalang station and Shiyan Station is taken as the research background.Firstly,the tunneling penetration index(FPI)is taken as the tunneling performance evaluation index,and Spearman correlation was used to analyze the rationality of FPI as an evaluation index.On this basis,FPI is used as the input parameter to establish the penetration degree prediction model,cutter head thrust prediction model and driving speed prediction model,and the reliability of the models is verified based on the right line driving data of Yangtaishan tunnel.Based on the K-means clustering method and FPI clustering index,the excavation grade of surrounding rock was divided.According to the prediction formula of tunneling parameters given in this paper,the recommended values of tunneling parameters corresponding to the excavation grade were given.The results show that:(1)FPI can reasonably reflect rock-mechanism system in TBM construction to a certain extent,and can be used as an evaluation index of tunneling performance.(2)The prediction formula of TBM tunneling parameters established in this paper has a good correlation coefficient R2 of 0.75,0.98 and 0.97,which can accurately provide prediction parameters for TBM tunneling.(3)The classification model of TBM surrounding rock excavability established in this paper divides surrounding rock into five grades,and the tunneling parameter values under different levels are determined.
作者
张玉伟
赵祎睿
宋战平
何十美
Zhang Yuwei;Zhao Yirui;Song Zhanping;He Shimei(School of Civil Engineering,Xian University of Architecture and Technology,Xi'an 710055,P.R.China;Shaanxi Key Laboratory of Geotechnical and Underground Space Engineering,Xian University of Architecture and Technology,Xi'an 710055,P.R.China;The 5th Engineering CO.LTD.of China Railway Construction Bridge Engineering Bureau Group,Chengdu 610500,P.R.China)
出处
《地下空间与工程学报》
CSCD
北大核心
2024年第3期949-958,共10页
Chinese Journal of Underground Space and Engineering
基金
国家自然科学基金(52178393,52308374)
陕西省自然科学基础研究计划(2023-JC-YB-297)
陕西省科技创新团队项目(2020TD-005)。
关键词
隧道掘进机(TBM)
围岩参数
掘进性能预测
可掘性分级
tunnel boring machine(TBM)
rock mass parameters
tunnelling performance predict
classification of boreability
