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基于围岩参数的TBM掘进性能预测及应用研究

宗大超 赵祎睿 赵永金

人民长江2024,Vol.55Issue(8):161-165,173,6.
人民长江2024,Vol.55Issue(8):161-165,173,6.DOI:10.16232/j.cnki.1001-4179.2024.08.021

基于围岩参数的TBM掘进性能预测及应用研究

Prediction model of TBM tunneling performance based on surrounding rock parameters and application

宗大超 1赵祎睿 2赵永金1

作者信息

  • 1. 中铁建大桥工程局集团第三工程有限公司,天津 300308
  • 2. 西安建筑科技大学土木工程学院,陕西 西安 710055
  • 折叠

摘要

Abstract

Traditional prediction model of TBM tunneling focuses on using a single factor to predict the TBM tunneling perform-ance,and the predicted results are often quite different from the actual construction.In this paper,based on a tunnel project in Xinjiang,we proposed a TBM tunneling prediction model which can consider many factors and conform to the actual engineering.Firstly,the penetration index FPI was taken as an evaluation index of TBM's excavability,and the correlation between the in-situ measured rock mass integrity index Kv,uniaxial compressive strength UCS and FPI was analyzed.Based on the correlation analy-sis,a multiple regression model was established with Kv and UCS as input parameters and FPI as dependent variable.Then,a fit-ting relation between FPI and cutter speed RPM and driving speed measured on site was established,by which the cutter speed and driving speed in actual construction projects can be predicted.Finally,on the basis of FPI prediction model,K-means cluste-ring method was used to classify the TBM's tunneling grade,and reasonable tunneling parameters were estimated according to the tunneling grade.The results show that the TBM tunneling model established in this paper can well reflect the real state of TBM construction,and can provide a reference for project schedule prediction and cost control in the TBM construction process with similar formation conditions.

关键词

TBM/贯入度指数/可掘性分级/多元回归

Key words

TBM/penetration index/excavability classification/multiple regression

分类

建筑与水利

引用本文复制引用

宗大超,赵祎睿,赵永金..基于围岩参数的TBM掘进性能预测及应用研究[J].人民长江,2024,55(8):161-165,173,6.

基金项目

陕西省创新能力支撑计划-创新团队项目(2020TD-005) (2020TD-005)

人民长江

OA北大核心CSTPCD

1001-4179

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