基于三维激光扫描仪的岩石破裂面粗糙度研究
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摘要
为更深层地认识岩石的破裂机制。通过压、剪试验测取2组24个圆柱形岩样的破坏载荷,采用高精度三维激光扫描仪扫描岩样破裂面,得到了顶板砂岩在压、剪破坏后,破裂面的起伏粗糙特征分布规律,并采用统计分析方法得到破裂面粗糙曲线曲率半径,从而揭示了砂岩受剪切破坏后粗糙曲线曲率半径分别与粗糙度系数JRC、破坏载荷的相关关系。结果表明:单轴抗压试验中,离加载中心越远,JRC越小;抗剪试验中,粗糙度曲线的曲率半径统计值分别与JRC和抗剪强度呈线性正相关。
For a deeper understanding of the mechanism of rock failure, the failure loads of two groups of 24 cylindrical rock samples were measured by pressure and shear tests. Using a high precision 3D laser scanner to scan the fracture surface of the rock sample, the characteristics of fracture surface roughness distribution are respectively obtained after the compression failure and shear failure. The radius of curvature of cross section curve is obtained using statistical analysis. It reveals the correlation relationship between the curvature radius and roughness coefficient JRC, and the failure load of sandstone, respectively. The results show that the farther away from the load center, the smaller the JRC in uniaxial compression test. The curvature radius of the roughness curve has a linear positive correlation with JRC and the shear strength in the shear test.
For a deeper understanding of the mechanism of rock failure, the failure loads of two groups of 24 cylindrical rock samples were measured by pressure and shear tests. Using a high precision 3D laser scanner to scan the fracture surface of the rock sample, the characteristics of fracture surface roughness distribution are respectively obtained after the compression failure and shear failure. The radius of curvature of cross section curve is obtained using statistical analysis. It reveals the correlation relationship between the curvature radius and roughness coefficient JRC, and the failure load of sandstone, respectively. The results show that the farther away from the load center, the smaller the JRC in uniaxial compression test. The curvature radius of the roughness curve has a linear positive correlation with JRC and the shear strength in the shear test.
引文
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[9]郭保华.岩石裂隙面粗糙度参数关系分析[J].采矿与安全工程学报,2011,28(2):241-246.
[10]王卫星,杨记明.一种基于图像处理的岩石裂隙粗糙度几何信息算法[J].重庆邮电大学学报(自然科学版),2010,22(4):454-457.
[11] TSE R, CRUDEN D M.Estimating joint roughness coefficients[J]. International Journal of Rock Mechanics and Mining Sciences&Geomechanics Abstracts,1979, 16:303-307.
[12]吴月秀,刘泉声,刘小燕.岩体节理粗糙度系数与统计参数的相关关系研究[J].岩石力学与工程学报,2011(S1):2593-2598.
[13]徐永祥,陈磊,朱日宏,等.微小球面曲率半径的测量研究[J].仪器仪表学报,2006,27(9):1159-1162.
[14] ODLING N E.Natural Fracture Profile.Fractal Dimension and Joint Roughness Coefficients[J]. Rock Mech,1994, 27(3):135-153.
[2] BYERLEE J. Friction of rocks[J]. Pure Applied Geophsics, 1978, 116(4/5):615-626.
[3]谢和平,Willian G Pariseau,王建锋,等.节理粗糙度系数的分形估算[J].宝石和宝石学杂志,1992(1):85-90.
[4]黄达,谭清,黄润秋.高应力卸荷条件下大理岩破裂面细微观形态特征及其与卸荷岩体强度的相关性研究[J].岩土力学,2012(S2):7-15.
[5]雷鹏.硬性接触型岩体结构面剪切特性及边坡稳定性分析[D].重庆:重庆大学,2014.
[6]李海波,冯海鹏,刘博.不同剪切速率下岩石节理的强度特性研究[J].岩石力学与工程学报,2006,25(12):2435-2440.
[7]周玉新,周志芳,王锦国,等.采场岩体边坡渗流的裂隙控渗特征[J].金属矿山,2005(4):53-55.
[8]陈亚军,王家臣,常来山,等.节理岩体边坡渐进破坏的试验研究[J].金属矿山,2005(8):11-13.
[9]郭保华.岩石裂隙面粗糙度参数关系分析[J].采矿与安全工程学报,2011,28(2):241-246.
[10]王卫星,杨记明.一种基于图像处理的岩石裂隙粗糙度几何信息算法[J].重庆邮电大学学报(自然科学版),2010,22(4):454-457.
[11] TSE R, CRUDEN D M.Estimating joint roughness coefficients[J]. International Journal of Rock Mechanics and Mining Sciences&Geomechanics Abstracts,1979, 16:303-307.
[12]吴月秀,刘泉声,刘小燕.岩体节理粗糙度系数与统计参数的相关关系研究[J].岩石力学与工程学报,2011(S1):2593-2598.
[13]徐永祥,陈磊,朱日宏,等.微小球面曲率半径的测量研究[J].仪器仪表学报,2006,27(9):1159-1162.
[14] ODLING N E.Natural Fracture Profile.Fractal Dimension and Joint Roughness Coefficients[J]. Rock Mech,1994, 27(3):135-153.