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研究与探索

基于掘进参数的隧道围岩稳定性判识方法研究

  • 杨延栋
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  • (1. 盾构及掘进技术国家重点实验室, 河南 郑州 450001;  2. 中铁隧道局集团有限公司, 广东 广州 511458)
杨延栋(1988—),男,陕西宝鸡人,2014年毕业于西南交通大学,机械设计及理论专业,硕士,高级工程师,现从事隧道掘进机装备与掘进技术研究及应用工作。E-mail: yay_sky@163.com。

网络出版日期: 2023-04-17

Stability Identification Methods for Tunnel Surrounding Rock Based on Tunneling Parameters

  • YANG Yandong
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  • (1. State Key Laboratory of Shield Machine and Boring Technology, Zhengzhou 450001, Henan, China; 2. China Railway Tunnel Group Co., Ltd., Guangzhou 511458, Guangdong, China)

Online published: 2023-04-17

摘要

为解决隧道开挖面围岩状态难以预知、超前处置不及时导致全断面隧道掘进机被卡被困的问题,通过引松供水、引汉济渭等不同隧道工程装备掘进参数与隧道围岩参数统计分析,建立贯入指数、贯通指数与隧道围岩总评分的回归关系。统计结果表明: 隧道掘进机贯入指数与隧道围岩总评分呈指数函数关系,贯通指数与隧道围岩总评分呈对数函数关系。在此基础上,提出基于贯入指数和贯通指数的隧道围岩稳定性判识方法,并根据滇中引水隧道工程现场围岩揭露情况对该方法的围岩类别判识结果进行验证。验证结果显示围岩判识类别与实际围岩类别基本一致,表明了该判识方法的有效性和准确性。

本文引用格式

杨延栋 . 基于掘进参数的隧道围岩稳定性判识方法研究[J]. 隧道建设, 2023 , 43(3) : 423 -428 . DOI: 10.3973/j.issn.2096-4498.2023.03.007

Abstract

To avoid the jamming phenomenon encountered by fullface tunnel boring machines caused by the difficulty in predicting the surrounding rock states on the tunnel face and untimely advance support, statistical analysis is conducted on the tunneling and surrounding rock parameters of the Songhua river and the Hanjiang riverWeihe river water diversion projects. A regression relationship between the field penetration index, specific energy index of the tunnel boring machine, and total score of the tunnel′s surrounding rock is established. The results show the following: The field penetration index has an exponential relationship to the total score of the tunnel′s surrounding rock, while the specific energy index has a logarithmic relationship to the total score of the surrounding rock. A stability identification method for a tunnel′s surrounding rock based on field penetration and specific energy indices is proposed, and the identification results of the surrounding rock′s classification using this method are validated according to the field′s surrounding rock conditions. Verification results show that the classification of the surrounding rock is consistent with the actual situation, indicating the effectiveness and accuracy of the recommended identification method.

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