岩石节理粗糙度系数的分形特征

岩石节理粗糙度系数JRC是估算节理抗剪强度和变形指标最重要的参数。通过对简易纵剖面仪获取的节理表面轮廓曲线的分形研究,讨论了节理表面轮廓曲线的自相似性和JRC的自相似性,并根据实测统计资料的分析,指出了分形理论研究JRC的适用条件和有效的使用方法。由实测统计资料的JRC尺寸效应自相似性分析,认为JRC尺寸效应具分形结构。本文介绍了一种确定JRC尺寸效应分维数D的方法,由此确定的分维数D具有明确的物理意义。     

岩体节理面的力学效应研究

简易纵剖面仪和Ｒｙ—ＪＲＣ尺为定量统计研究岩体节理的表面形态和粗糙度系数提供了有效的量测工具．本文根据简易纵剖面仪在某一节理面上野外现场绘制的１０２３条不同方向、不同取样长度的节理表面轮廓曲线的实测统计资料,系统、定量地分析了节理表面形态的各质异性、各向异性和非均一性;运用ＪＲＣ—ＪＣＳ模型讨论了岩体节理力学参数的各质异性效应、各向异性效应、非均一性效应、评定长度效应、几何形状效应和法向应力效应等问题．在此基础上,提出了按岩性定向统计研究节理表面形态、估测节理粗造度系数和估算岩体节理力学参数的科学思路．文末对正确运用ＪＲＣ—ＪＣＳ模型估算岩体节理力学参数的有关注意事项作了简要说明．     

节理粗糙度曲线的分维特征

基于野外实测节理粗糙度曲线，建立了分维数Ｄｆ与节理粗糙度系数间的关系式。此外，文章对Ｂａｒｔｏｎ标准粗糙度谱线用分维值进行了分类，并探讨了粗糙度的本质含义。     

岩体结构面力学行为的尺寸效应研究

尺寸效应是岩体结构面力学行为的重要特征。本文列举了结构面力学行为中普遍存在的尺寸效应现象,并由实测统计资料的分析,论证了结构面力学行为的尺寸效应具有分形结构。通过结构面力学行为尺寸效应的机理研究,建立了结构面力学行为尺寸效应分维数和结构面粗糙度系数尺寸效应分维数之间的相关关系,从而简化了结构面力学行为尺寸效应规律的表述,为客观评价岩体结构面力学参数提供最为有效的手段。     

新疆塔里木北部地区压,扭,张破裂面分维数D值测算

本文精测了新疆塔里木北部地区压、张、扭三类不同性质断层断面的起伏高度和长度。利用谢和平及Ｐａｒｉｓｅａｎ（１９９４）的公式，测算了断面分维数Ｄ，又由Ｄ值测算了粗糙度ＪＲＣ值，发现压，张，扭三类断层的Ｄ和ＪＲＣ值有明显差别，所取得Ｄ值与美国的Ｓａｎ Ａｎｄｒｅｅｓ断层的Ｄ值具有一定的相似性。     

岩体节理表面几何特性描述

岩体节理表面几何特征对岩体变形、刚度、剪切强度和水渗导性有重要影响,一般用节理粗糙度系数（ＪＲＣ）、节理吻合系数（ＪＭＣ）来描述。本文用节理表面分维（ＪＳＦ）来描述节理表面形态的复杂性,为节理表面几何特征描述提供了一个新的方法。     

估算岩石断裂面粗糙度的一种分形模型

提出了一种更为简单的估算岩石断裂面粗糙度值的分形模型,可用来模拟岩石断裂面剖面线。断裂面愈粗糙,其分维值也愈大,并建立了分维值与ＪＲＣ值之间的经验方程。     

岩体结构面粗糙度系数研究进展

摘要：讲述了岩体结构面粗糙度系数ＪＲＣ的估测方法、轮廓曲线绘制手段以及ＪＲＣ应用研究的进展,分析了ＪＲＣ研究的几个前沿课题。     

岩体质量的分形表述

介绍了岩石质量评价的分形表述方法，研究表明，分维数Ｄ比ＲＱＤ更能客观地表现结构面呈不规则分布岩体的完整性特征，可直接用于工程岩体分类。     

岩体结构面粗糙度系数JRC的定向统计研究

本文回顾了岩体结构面粗糙度系数ＪＲＣ的研究成果，分析了各种ＪＲＣ研究方法的应用范围。在野外实际结构面形态的详细调查和深入研究的基础上，发展了Ｂａｒｔｏｎ直边法，并提出按岩性定向统计研究结构面粗糙度系数ＪＲＣ的科学思想。     

Determination of Joint Roughness Coefficients Using Roughness Parameters

This study used precisely digitized standard roughness profiles to determine roughness parameters such as statistical and 2D discontinuity roughness, and fractal dimensions. Our methods were based on the relationship between the joint roughness coefficient (JRC) values and roughness parameters calculated using power law equations. Statistical and 2D roughness parameters, and fractal dimensions correlated well with JRC values, and had correlation coefficients of over 0.96. However, all of these relationships have a 4th profile (JRC 6–8) that deviates by more than ±5 % from the JRC values given in the standard roughness profiles. This indicates that this profile is statistically different than the others. We suggest that fractal dimensions should be measured within the entire range of the divider, instead of merely measuring values within a suitable range. Normalized intercept values also correlated with the JRC values, similarly to the fractal dimension values discussed above. The root mean square first derivative values, roughness profile indexes, 2D roughness parameter, and fractal dimension values decreased as the sampling interval increased. However, the structure function values increased very rapidly with increasing sampling intervals. This indicates that the roughness parameters are not independent of the sampling interval, and that the different relationships between the JRC values and these roughness parameters are dependent on the sampling interval.     

Underestimation of roughness in rough rock joints

Numerous studies have been made to improve Barton's shear strength model for the quantification of rock joints. However, in these previous studies, the roughness and shear strength of the rock joint have been underestimated especially for relatively high undulated profiles (joint roughness coefficient (JRC) >14). The main factors of roughness underestimation in rough rock joints are investigated for the proper quantification of rock joint roughness. The aliasing effect and the roughness characteristics are analyzed by using artificial joint profiles and natural rock joint profiles. A 3D camera scanner is adopted to verify the main source of underestimation when using conventional measurement methods. Shear strength tests are carried out by using two types of shear apparatus to study the roughness mobilization characteristics, which may also affect the roughness underestimation. The results of joint roughness assessment, such as aliasing and undulation of waviness, show that the roughness can be underestimated in relatively rough joint profiles (JRC>14). At least two components of roughness parameters are needed to properly represent the joint roughness, for example, the amplitude and the inclination angle of joint asperity. Roughness mobilization is affected by both the normal stress and the asperity scale. Copyright © 2008 John Wiley & Sons, Ltd.     

Natural fracture profiles,fractal dimension and joint roughness coefficients

Summary Thirteen natural rock profiles (Barton and Choubey, 1977) are analyzed for their fractal properties. Most of the profiles were found to approximate fractal curves but some also showed features of specific wavelengths and amplitudes superimposed on fractal characteristics. The profiles showed fractal dimensions from 1.1 to 1.5 covering a range of selfsimilar and self-affine curves. The analysis results suggest a negative correlation between fractal dimension,D, and amplitude,A. Joint roughness coefficients (JRC) show a positive correlation with amplitude,A, and a negative correlation with fractal dimension,D. A numerical model of fracture closure is used to investigate the effects of different profile characteristics (D, A and sample size) on the nature of dilation and contact area, using the natural profiles and synthetic fractional Brownian motion profiles. Smooth profiles (low JRC, highD, lowA) display many small contact regions whereas rough fractures (high JRC, lowD, highA) display few large contact areas. The agreement with published experimental data supports the suggested correlations between JRC and the fractal parameters,A andD. It is suggested that observed scale effects in JRC and joint dilation can be explained by small differential strain discontinuities across fractures, which originate at the time of fracture formation.     

基于孔内影像的岩石节理粗糙度特征研究

目前对岩石结构表面粗糙度的研究往往只局限于地表,难以反映深部岩石节理粗糙度的特征。钻孔孔壁上节理轮廓线包含有三维信息的特点,本文开展了基于数字钻孔摄像技术的岩石节理粗糙度分形特征的研究,利用数字钻孔摄像系统获取地下深度岩石节理全景图,采用边缘检测技术从全景图中提取出节理轮廓线,对其进行空间变换和视距离变换得到地下岩石节理粗糙表面轮廓线的真实状况。与Barton提出的10条标准剖面曲线进行对比得到每条轮廓线的JRC值,并计算其分形维数,根据最小二乘法原理拟合出JRC与分形维数之间的关系为:(D)=JRC=-541.9x2+1362x-818.53。本文研究内容为描述地下深部天然节理的结构及其特征提供了基础,对更深入地研究地下深部岩石节理的表面空间状况有重要的意义。     

不同节理粗糙度类岩石材料三轴压缩力学特性试验研究

粗糙度是影响节理岩体强度与变形特性的重要因素之一。首先使用3D 打印机制作模具,并浇筑形成不同粗糙度（节理粗糙度系数JRC=2、7、12、17、22）的节理岩石试样。采用GCTS高温高压动静岩石三轴试验系统,对含有不同粗糙度节理岩石试样进行了三轴压缩试验,获得了不同粗糙度节理岩石试样的三轴应力–应变曲线,分析了JRC对岩石三轴强度和变形特性的影响规律,在三轴加载过程中采用声发射测试系统,分析了不同粗糙度节理岩石试样的声发射特性。运用数字三维视频显微系统观察节理面形态,讨论了不同围压下节理岩石试样峰值强度与JRC之间的关系。研究结果表明,节理面的存在直接导致节理岩石试样强度的大幅度降低,JRC对岩石破坏裂纹的形态、数量和空间分布特征亦有很大的影响,随着JRC值的增大,岩石节理面的抗剪强度增大,岩石试样的三轴抗压强度也会增大,岩石试样由脆性破坏转变为延性破坏。     

JRC修正直边法的数学表达

JRC是反映爬坡角力学效应的岩体结构面表面形态等效描述指标。本文在爬坡角力学效应机理研究基础上, 阐述了JRC直边法的物理意义；通过岩体结构面表面起伏幅度与金属表面粗糙度幅度对比分析, 肯定了直边法的合理性；考虑JRC的尺寸效应, 推导JRC修正直边法的数学表达式, 编译计算机常用程序。最后, 实例检验了JRC修正直边法数学表达式的合理性和可用性。