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    基于钻孔声波的风化千枚岩岩体弹性模量分段快速估算方法

    Rapid segmented estimation of elastic modulus of weathered phyllite rock mass based on borehole acoustic testing

    • 摘要: 针对风化千枚岩岩体弹性模量获取周期长、代表性不足及难以连续反映孔深方向变化等问题,提出一种基于钻孔声波测试的岩体弹性模量分段快速估算方法。以西部高原地区风化千枚岩钻孔资料为基础,结合地质编录和声波响应特征进行工程分段,提取分段代表波速;依据RMR评分和Hoek-Brown准则估算岩体弹性模量,并建立代表波速与弹性模量的关系模型。结果表明,钻孔分段RMR评分值为23~51,对应Ⅲ~Ⅳ级岩体;代表波速为0.8734~4.6768 km/s,岩体弹性模量为0.2111~3.7895 GPa,二者整体呈正相关关系。线性模型和幂函数模型拟合效果较好,R2分别为0.9105和0.9089,指数函数模型拟合效果相对较弱。综合拟合精度、模型形式和工程解释性,幂函数模型可作为风化千枚岩岩体弹性模量快速估算的推荐模型。该方法可为风化型岩体力学参数快速获取、工程勘察评价及参数取值提供参考。

       

      Abstract: To address the problems of long testing periods, insufficient representativeness, and difficulty in continuously characterizing depth-dependent variations in the elastic modulus of weathered phyllite rock masses, a segmented rapid estimation method based on borehole acoustic testing is proposed. Based on borehole data of weathered phyllite in the western plateau region, engineering segments were determined by integrating geological logging and acoustic response characteristics, and representative P-wave velocities were extracted. The rock mass elastic modulus was estimated using RMR ratings and the Hoek-Brown criterion, and a relationship model between representative P-wave velocity and elastic modulus was established. The results show that the segmented RMR ratings range from 23 to 51, corresponding to Class III-IV rock masses. The representative P-wave velocity ranges from 0.8734 to 4.6768 km/s, and the rock mass elastic modulus ranges from 0.2111 to 3.7895 GPa, showing an overall positive correlation. Both the linear and power function models exhibit good fitting performance, with R2 values of 0.9105 and 0.9089, respectively, whereas the exponential function model performs relatively poorly. Considering fitting accuracy, model form, and engineering interpretability, the power function model is recommended for rapid estimation of the elastic modulus of weathered phyllite rock masses. The proposed method provides a reference for rapid acquisition of mechanical parameters, engineering geological evaluation, and parameter selection of weathered rock masses.

       

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