喷锚衬砌平整度多参数融合计算方法

张志全; 黄红亚; 吴梦军; 胡学兵; 曹鹏; 钟祖良; 李来阳

doi:10.3973/j.issn.2096-4498.2025.05.005

隧道建设 >

2025 , Vol. 45 >Issue 5: 906 - 915

DOI: https://doi.org/10.3973/j.issn.2096-4498.2025.05.005

研究与探索

喷锚衬砌平整度多参数融合计算方法

张志全 ,
黄红亚 ,
吴梦军 ,
胡学兵 ,
曹鹏 ,
钟祖良 ,
李来阳

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(1. 四川沿江宜金高速公路有限公司，四川成都 610041； 2. 招商局重庆交通科研设计院有限公司，重庆 400067； 3. 重庆大学土木工程学院，重庆 400045)

张志全(1975—)，男，重庆酉阳人，2005年毕业于重庆交通学院，土木工程专业，本科，高级工程师，主要从事交通工程建设管理工作。 E-mail: 392978567@qq.com。*通信作者：钟祖良， E-mail: haiou983@126.com。

网络出版日期: 2025-05-20

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Multiparameter Fusion Computational Method for Flatness Evaluation of Shotcrete Lining

ZHANG Zhiquan ,
HUANG Hongya ,
WU Mengjun ,
HU Xuebing ,
CAO Peng ,
ZHONG Zuliang ,
LI Laiyang

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(1. Sichuan Yanjiang Yijin Expressway Co., Ltd., Chengdu 610041, Sichuan, China; 2. China Merchants Chongqing Communications Technology Research & Design Institute Co., Ltd., Chongqing 400067, China; 3. School of Civil Engineering, Chongqing University, Chongqing 400045, China)

Online published: 2025-05-20

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摘要

针对喷锚衬砌初喷层表面平整度难以精细化表征的问题，提出一种基于多参数融合的喷锚衬砌平整度计算新方法。通过融合分形维数(D)与一阶导数均方根(Z₂)的幂函数参数，构建其与平整度系数（n_JRC）的定量函数关系（相关系数R²=0.998），并与其他经典文献中的结构面粗糙度系数（m_JRC）公式计算结果进行对比，验证该公式的有效性和准确性。利用隧道现场试验段的三维点云数据，提取隧道轮廓线并进行分割计算，成功获取隧道喷锚衬砌初喷层不同位置的平整度值，并将本文方法与传统计算方法的计算结果进行对比。结果表明： 1)通过融合分形维数与一阶导数均方根的幂函数参数计算平整度系数，能够更全面地表征隧道衬砌表面的微观粗糙特征与宏观几何特征； 2)通过计算相邻二维轮廓线的加权平均值，可有效捕捉传统计算方法难以识别的三维不规则表面特征，实现隧道全方位无死角的平整度检测； 3)该方法在检测灵敏度和三维不规则特征的捕捉能力上优于传统计算方法，能够更准确地反映隧道衬砌表面复杂的空间变异特性。

关键词： 隧道工程; 喷锚衬砌; 平整度; 多参数融合; 三维激光扫描

本文引用格式

张志全 , 黄红亚 , 吴梦军 , 胡学兵 , 曹鹏 , 钟祖良 , 李来阳 . 喷锚衬砌平整度多参数融合计算方法[J]. 隧道建设, 2025 , 45(5) : 906 -915 . DOI: 10.3973/j.issn.2096-4498.2025.05.005

Abstract

A novel method for calculating lining flatness based on multiparameter fusion is proposed to address challenges in the refined characterization of the surface flatness of the initial shotcrete layer of sprayed anchor linings. The proposed method integrates the fractal dimension （D） and the root mean square of the first derivative （Z₂） to establish a quantitative functional relationship with a flatness coefficient (n_JRC) (correlation coefficient R² = 99.8%). The validity and accuracy of the developed formula are verified through comparisons with results obtained using the joint roughness coefficient (m_JRC) formula from classical literature. The method is applied to three-dimensional (3D) point cloud data collected from an on-site tunnel test section, in which tunnel contour lines are extracted and segmented to calculate flatness values at different positions of the initial shotcrete layer. The proposed method is further compared with traditional approaches, and the key findings include the following: (1) The proposed method enables a more comprehensive characterization of the microscopic roughness and macroscopic geometric features of tunnel lining surfaces by integrating the power parameters of fractal dimension and the root mean square of the first derivative to calculate the flatness coefficient. (2) To achieve omnidirectional flatness detection without blind spots, the proposed method effectively captures 3D irregular surface features that are difficult for traditional methods to identify by computing the weighted average of adjacent two-dimensional contour lines. (3) The proposed method outperforms conventional methods in terms of detection sensitivity and 3D irregular feature capture, thereby more accurately reflecting the complex spatial variability characteristics of the tunnel lining surfaces.

Key words： tunnel engineering; shotcrete lining; flatness; multiparameter fusion; three-dimensional laser scanning

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