长江科学院院报 ›› 2023, Vol. 40 ›› Issue (6): 126-132.DOI: 10.11988/ckyyb.20220059

• 岩土工程 • 上一篇    下一篇

基于围岩分类HC评分的双护盾TBM施工速度预测模型

杨继华1, 闫长斌2   

  1. 1.黄河勘测规划设计研究院有限公司,郑州 450003;
    2.郑州大学 土木工程学院,郑州 450001
  • 收稿日期:2022-01-18 修回日期:2022-07-12 出版日期:2023-06-01 发布日期:2023-06-21
  • 作者简介:杨继华(1980- ),男,河南潢川县人,正高级工程师,博士,主要从事隧洞与地下工程勘察、设计及研究工作。E-mail:yangjihua68@sohu.com
  • 基金资助:
    国家自然科学基金项目(41972270);黄河勘测规划设计研究院有限公司自主研究开发项目(2020-ky04,2022-ky03)

A Prediction Model for Advance Rate of Double Shield Tunnel Boring Machine Based on HC Value of Surrounding Rock Classification

YANG Ji-hua1, YAN Chang-bin2   

  1. 1. Yellow River Engineering Consulting Co.,Ltd.,Zhengzhou 450003, China;
    2. School of Civil Engineering, Zhengzhou University,Zhengzhou 450001, China
  • Received:2022-01-18 Revised:2022-07-12 Online:2023-06-01 Published:2023-06-21

摘要: 针对双护盾TBM施工速度预测问题,以兰州市水源地建设工程输水隧洞双护盾TBM施工为背景,采用现场实测数据统计分析的方法,基于《水利水电工程地质勘察规范》(GB 50487—2008)的围岩分类HC评分值,研究了TBM净掘进速度、TBM利用率与围岩分类HC评分值的相关性,进而建立了双护盾TBM施工速度预测模型。结果表明:①TBM净掘进速度与HC值呈二次函数关系,相关性系数为0.84,随着HC值的降低,TBM净掘进速度呈现增加的趋势;②TBM利用率与围岩HC值呈二次函数关系,相关性系数为0.82,TBM利用率随着HC值的增加有先增大后减少的趋势;③围岩的HC值为41~46时,TBM的施工速度达到最高,日进尺可达到45 m以上,当HC值<41时,TBM施工速度随着HC值的降低而降低,当HC值>46时,TBM施工速度随着HC值的增加而降低;④预测施工速度与实际施工速度吻合较好,平均误差为5.2%,最大误差<10%,说明预测模型可靠,可用于双护盾TBM施工速度预测。

关键词: 双护盾TBM, 围岩分类HC评分, 利用率, 净掘进速度, 施工速度, 预测模型

Abstract: In the light of the HC evaluation system in the Code for Geologic Investigation of Water Resources and Hydropower Engineering, a model of predicting the advance rate of double shield Tunnel Boring Machine (TBM) is established based on analysing the correlations between the net penetration rate and utilization rate of TBM and the HC score through statistical analysis of field measured data. The double shield TBM construction of water conveyance tunnel of Lanzhou water source project is taken as a case study. Results reveal 1) a quadratic function relationship between net penetration rate and HC score with the correlation coefficient reaching 0.84. With the decrease of HC score, the net penetration rate shows an increasing trend. 2) There is also a quadratic function relationship between TBM utilization rate and HC score, with the correlation coefficient being 0.82. With the increase of HC score, the utilization rate increases first and then decreases. 3) When HC score ranges between 41 and 46, the advance rate of TBM peaks with the daily tunneling distance reaching 45 m. When HC score is smaller than 41, advance rate decreases along with the decline of HC score. When HC score is greater than 46, advance rate reduces with the increase of HC score. 4) The predicted advance rate is in good agreement with the actual construction speed, with an average error of 5.2% and a maximum error less than 10%, indicating that the prediction model is reliable and can be used to predict the advance rate of double shield TBM.

Key words: double shield TBM, HC score of surrounding rock classification, utilization rate, net penetration rate, advance rate, prediction model

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