Scholarlink

<p>The classification of rock mass quality is essential for geotechnical and engineering applications. Commonly used classification methods include the Rock Mass Rating (RMR), the Q system, the Geological Strength Index (GSI), and the Basic Quality (BQ) system. Among these, the BQ system has been widely adopted as the standard for engineering classification of rock masses in China. However, its application and the correlation between rock mass elastic modulus (E<sub>m</sub>) and rock mass P-wave velocity (V<sub>pm</sub>) for the Himalayas rock mass remain unexplored. This study investigates the correlation between BQ and V<sub>pm</sub> for rock masses along Himalayas. Existing empirical correlations of E<sub>m</sub> with RMR, Q, and GSI were modified by incorporating V<sub>pm</sub>, and their suitability was assessed statistically. The results indicate that while the correlation between V<sub>pm</sub> and E<sub>m</sub> using GSI-based input data lacks consistency, certain equations based on RMR and Q demonstrate a good agreement after modification. The results reveal that correlations using RMR<sub>89</sub> and RMR<sub>14</sub> yielded lower prediction errors compared to those using GSI. Specifically, the MAE ranged from 7.5% to 18.3% for RMR-based models, while GSI-based correlations exhibited MAE values between 12.8% and 24.6%. The coefficient of determination (R<sup>2</sup>) for most RMR-based equations exceeded 0.95, indicating strong predictive capability. The results contribute to a better understanding of rock mass behavior in the Himalayas and provide improved predictive models for estimating rock mass elastic modulus based on P-wave velocity.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Estimation of the BQ system and rock mass modulus based on the P-wave velocity of the rock mass: a case study from the Himalayas tunneling

  • 期刊论文

  • 发表日期：

    2025年8月14日

查看全文
  • Naeem Abbas,
  • Li Kegang,
  • Lei Wang

摘要

The classification of rock mass quality is essential for geotechnical and engineering applications. Commonly used classification methods include the Rock Mass Rating (RMR), the Q system, the Geological Strength Index (GSI), and the Basic Quality (BQ) system. Among these, the BQ system has been widely adopted as the standard for engineering classification of rock masses in China. However, its application and the correlation between rock mass elastic modulus (Em) and rock mass P-wave velocity (Vpm) for the Himalayas rock mass remain unexplored. This study investigates the correlation between BQ and Vpm for rock masses along Himalayas. Existing empirical correlations of Em with RMR, Q, and GSI were modified by incorporating Vpm, and their suitability was assessed statistically. The results indicate that while the correlation between Vpm and Em using GSI-based input data lacks consistency, certain equations based on RMR and Q demonstrate a good agreement after modification. The results reveal that correlations using RMR89 and RMR14 yielded lower prediction errors compared to those using GSI. Specifically, the MAE ranged from 7.5% to 18.3% for RMR-based models, while GSI-based correlations exhibited MAE values between 12.8% and 24.6%. The coefficient of determination (R2) for most RMR-based equations exceeded 0.95, indicating strong predictive capability. The results contribute to a better understanding of rock mass behavior in the Himalayas and provide improved predictive models for estimating rock mass elastic modulus based on P-wave velocity.