New criterion for rock joints based on three-dimensional roughness parameters

Tang, Zhicheng; Liu, Quansheng; Huang, Jihui

doi:10.1007/s11771-014-2473-7

Cited by 22 publications

(8 citation statements)

References 19 publications

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“…Various parameters, including empirical, statistical, and fractal, have been proposed to quantify the surface roughness of rock joints. Numerous experimental tests demonstrated that partial contact between the lower and upper joint surface was located in the steepest zones facing the Mathematical Problems in Engineering shear direction during the shearing [35][36][37]. Grasselli et al [38] established a relationship between total potential contact area ratio A θ * and the corresponding apparent dip angle θ * , as shown in the following equation:…”

Section: Establishment Of a Peak Shear Strengthmentioning

confidence: 99%

Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine

Xia

Huang

Qian

et al. 2019

Mathematical Problems in Engineering

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This study mainly establishes a novel intelligent assessment model for peak shear strength of rock joints based on the relevance vector machine (RVM). RVM is a state-of-the-art soft computing technique that has been rarely utilized in joint shear strength assessment. To establish the hybrid intelligent model, three-dimensional scanning tests and direct shear tests on 36 granite joint specimens were conducted. The peak shear strength ratio (τp/σn) is perceived as an explanation of four types of influencing factors, including joint surface roughness, strength of rock material, basic friction angle, and normal stress. In particular, the compressive strength and tensile strength of rock material are first considered together. A total of 36 experimental data were used in this study to train the RVM model to predict the peak shear strength of rock joints. The performance of the RVM model was assessed using the direct shear test data of rock joints collected from previous researches. Four different kinds of kernel functions were adopted to obtain the optimal model. Results show that the proposed model is significantly efficient in predicting the peak shear strength of rock joints. The proposed model is also a promising tool for peak shear strength of rock joints and provides a new research approach to research the mechanical properties of rock joints.

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Section: Establishment Of a Peak Shear Strengthmentioning

confidence: 99%

Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine

Xia

Huang

Qian

et al. 2019

Mathematical Problems in Engineering

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“…Therefore, the roughness underestimation of unevenness can be improved. Although this method requires a merging process because of image overlapping with "multi-viewing", it produces a high resolution image quickly and conveniently (Reich et al 2000;Lee & Ahn 2004).…”

Section: Use Of a 3d Scannermentioning

confidence: 99%

“…8. 8With the further use of the laser scanner technology, new criteria were developed (Tang 2014). The proposed shear strength criterion (T14) is capable of predicting the shear strength of rough joints.…”

Section: ( 7 )mentioning

confidence: 99%

“…However, the anisotropy of rock joint was not considered in this criterion. Further research developed the modified peak shear strength criteria which could reflect the effect of dilatancy (Tang et al, 2014(Tang et al, , 2015. The relationship between peak dilatancy angle and three-dimensional morphology characteristics was taken into consideration in these criteria.…”

Section: Introductionmentioning

confidence: 99%

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Quantifid joint surface description and joint shear strength of small rock samples

Karmen¹,

Andraž²

2018

Geologija

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Geotechnical structures in rock masses such as tunnels, underground caverns, dam foundations and rock slopes often have problems with a jointed rock mass. The shear behaviour of a jointed rock mass depends on the mechanical behaviour of the discontinuities in that particular rock mass. If we want to understand the mechanical behaviour of a jointed rock mass, it is necessary to study the deformation and strength of a single joint. One of the primary objectives of this work is to improve the understanding of the frictional behaviour of rough rock joints under shear loads with regard to the roughness of the joint surface. The main problem is how to measure and quantify the roughness of the surface joint and connect the morphological parameters into a shear strength criterion. Until now, several criteria have been developed; however, all of them used large rock samples (20×10×10 cm). It is often not possible to get large samples, especially when the rock is under a few meters thick layer of soil. In this case, samples of rock can only be acquired with investigation borehole drilling, which means that the samples of rock are small and of different shapes. The paper presents the modified criterion that is suitable for calculating the peak shear stress of small samples. Izvleček Geotehnični objekti v hribini, kot so predori, podzemni prostori, pregrade in strme brežine, pogosto povzročajo težave zaradi različne razpokanosti hribinskega masiva. Strižno obnašanje celotnega hribinskega masiva je odvisno od razpok in njihovih strižnih lastnosti. Če želimo razumeti mehansko obnašanje hribinskega masiva, je potrebno preiskati strižne trdnostne karakteristike vsakega sistema razpok. Namen predstavljene raziskave je, da se preuči obnašanje razpok pod strižnimi obremenitvami v odvisnosti od hrapavosti površine razpok. Največji problem se pokaže pri meritvah hrapavosti razpok in povezave morfoloških parametrov površine razpoke s strižnimi karakteristikami same razpoke. Do sedaj je bilo predstavljenih že več kriterijev, vendar so bili vsi razviti na osnovi testiranja velikih vzorcev kamnine (20×10×10 cm). V večini primerov pa je velikih vzorcev kamnine nemogoče dobiti, predvsem takrat, ko je kamnina globoko pod več metrov debelo plastjo zemljine. V tem primeru se vzorce hribine lahko pridobi samo z raziskovalnim vrtanjem. Tako dobljeni vzorci pa so malih dimenzij in različnih oblik. V članku je predstavljen modificiran kriterij, ki je uporaben za izračun vrhunske strižne trdnosti v primeru, da imamo za raziskave dostopne samo vzorce manjših dimenzij.

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“…Therefore, the estimation of shear strength empirically by using existing shear strength criteria has got obvious advantages. In the past few decades, many researchers proposed empirical shear strength criteria of joints considering their physical and geometrical characteristics [3,[26][27][28][29][30][31][32]. It should be noted that fruitful results have been achieved by different researchers from around the world on a regular basis which certainly have got significant academic importance.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Shear Strength of Rock Joints and Its Influence on Key Blocks

Wang

Xiu

2019

Geofluids

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Shear strength deterioration of rock joints and its induced instability of key blocks subjected to dynamic disturbance constitute the mechanism of many geological disasters such as rockburst, landslide, and rockfall. In this study, the influence of dynamic disturbance on rock joints was quantified in the form of stress, of which model was established by quasistatic method. The dynamic shear strength of rock joints was analyzed theoretically following the Coulomb-Navier criterion and further investigated experimentally by split Hopkinson pressure bar (SHPB) tests with impact velocities of 4.850 m/s, 8.722 m/s, 12.784 m/s, and 16.935 m/s. The effect of engineering disturbance on shear strength of rock joints was measured, and a degradation coefficient was used to describe it quantitatively. Considering the degradation of dynamic shear strength of rock joints and its influence on block stability, the method for determining key blocks under dynamic disturbance was given. Implementing this method into the program of Geotechnical Structure and Model Analysis-3D (GeoSMA-3D) developed by the authors’ team, the visualization of key blocks was achieved. From theoretical analysis and experimental investigation, it was figured out that the shear strength of rock joints is degraded under dynamic disturbance. The degradation of friction angle becomes more sensitive than that of cohesion. Additionally, numerical results show that the number of key blocks was increased with the increasing impact velocities.

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New criterion for rock joints based on three-dimensional roughness parameters

Cited by 22 publications

References 19 publications

Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine

Novel Intelligent Approach for Peak Shear Strength Assessment of Rock Joints on the Basis of the Relevance Vector Machine

Quantifid joint surface description and joint shear strength of small rock samples

Dynamic Shear Strength of Rock Joints and Its Influence on Key Blocks

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