CLC number:
On-line Access: 2025-05-30
Received: 2024-08-19
Revision Accepted: 2024-09-23
Crosschecked: 2025-05-30
Cited: 0
Clicked: 588
Hanyu CHEN, Peng GUO, Guangyao LI, Lifeng FAN. Grid-growth method for the reconstruction of 3D rock joints with arbitrary joint roughness and persistence[J]. Journal of Zhejiang University Science A, 2025, 26(5): 393-406.
@article{title="Grid-growth method for the reconstruction of 3D rock joints with arbitrary joint roughness and persistence",
author="Hanyu CHEN, Peng GUO, Guangyao LI, Lifeng FAN",
journal="Journal of Zhejiang University Science A",
volume="26",
number="5",
pages="393-406",
year="2025",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2400407"
}
%0 Journal Article
%T Grid-growth method for the reconstruction of 3D rock joints with arbitrary joint roughness and persistence
%A Hanyu CHEN
%A Peng GUO
%A Guangyao LI
%A Lifeng FAN
%J Journal of Zhejiang University SCIENCE A
%V 26
%N 5
%P 393-406
%@ 1673-565X
%D 2025
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2400407
TY - JOUR
T1 - Grid-growth method for the reconstruction of 3D rock joints with arbitrary joint roughness and persistence
A1 - Hanyu CHEN
A1 - Peng GUO
A1 - Guangyao LI
A1 - Lifeng FAN
J0 - Journal of Zhejiang University Science A
VL - 26
IS - 5
SP - 393
EP - 406
%@ 1673-565X
Y1 - 2025
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2400407
Abstract: We present a grid-growth method to reconstruct 3D rock joints with arbitrary joint roughness and persistence. In the first step of this workflow, the joint model is divided into uniform grids. Then by adjusting the positions of the grids, the joint morphology can be modified to construct models with desired joint roughness and persistence. Accordingly, numerous joint models with different joint roughness and persistence were built. The effects of relevant parameters (such as the number, height, slope of asperities, and the number, area of rock bridges) on the joint roughness coefficient (JRC) and joint persistence were investigated. Finally, an artificially split joint was reconstructed using the method, and the method’s accuracy was evaluated by comparing the JRC of the models with that of the artificially split joint. The results showed that the proposed method can effectively control the JRC of joint models by adjusting the number, height, and slope of asperities. The method can also modify the joint persistence of joint models by adjusting the number and area of rock bridges. Additionally, the JRC of models obtained by our method agrees with that of the artificially split surface. Overall, the method demonstrated high accuracy for 3D rock joint reconstruction.
[1]AskariM, AhmadiM, 2007. Failure process after peak strength of artificial joints by fractal dimension. Geotechnical and Geological Engineering, 25(6):631-637.
[2]BaeDS, KimKS, KohYK, et al., 2011. Characterization of joint roughness in granite by applying the scan circle technique to images from a borehole televiewer. Rock Mechanics and Rock Engineering, 44(4):497-504.
[3]BahaaddiniM, HaganP, MitraR, et al., 2016. Numerical study of the mechanical behavior of nonpersistent jointed rock masses. International Journal of Geomechanics, 16(1):04015035.
[4]BartonN, ChoubeyV, 1977. The shear strength of rock joints in theory and practice. Rock Mechanics, 10(1-2):1-54.
[5]CaoRH, YaoRB, LinH, et al., 2022. Shear behaviour of 3D nonpersistent jointed rock-like specimens: experiment and numerical simulation. Computers and Geotechnics, 148:104858.
[6]CattaniaC, SegallP, 2021. Precursory slow slip and foreshocks on rough faults. Journal of Geophysical Research: Solid Earth, 126(4):e2020JB020430.
[7]EinsteinHH, VenezianoD, BaecherGB, et al., 1983. The effect of discontinuity persistence on rock slope stability. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 20(5):227-236.
[8]FanLF, QiuB, GaoJW, et al., 2023. A real-time visual investigation on microscopic progressive fatigue deterioration of granite under cyclic loading. Rock Mechanics and Rock Engineering, 56:5133-5147.
[9]FanLF, YangQH, DuXL, 2024. Spalling characteristics of high-temperature treated granitic rock at different strain rates. Journal of Rock Mechanics and Geotechnical Engineering, 16(4):1280-1288.
[10]GaoYN, WongLNY, 2015. A modified correlation between roughness parameter Z2 and the JRC. Rock Mechanics and Rock Engineering, 48(1):387-396.
[11]GhazvinianA, SarfaraziV, SchubertW, et al., 2012. A study of the failure mechanism of planar non-persistent open joints using PFC2D. Rock Mechanics and Rock Engineering, 45(5):677-693.
[12]GuanD, WuJH, JingL, 2015. A statistical method for predicting sound absorbing property of porous metal materials by using quartet structure generation set. Journal of Alloys and Compounds, 626:29-34.
[13]HuangD, TangW, LiXQ, 2023. Numerical modeling and damage evolution research on the effect of joint geometrical parameters in nonpersistent jointed rock masses. Bulletin of Engineering Geology and the Environment, 82(4):137.
[14]HuangJY, XuSL, HuSS, 2014. Numerical investigations of the dynamic shear behavior of rough rock joints. Rock Mechanics and Rock Engineering, 47(5):1727-1743.
[15]JiangQ, FengXT, GongYH, et al., 2016. Reverse modelling of natural rock joints using 3D scanning and 3D printing. Computers and Geotechnics, 73:210-220.
[16]Jimenez-RodriguezR, SitarN, 2006. Inference of discontinuity trace length distributions using statistical graphical models. International Journal of Rock Mechanics and Mining Sciences, 43(6):877-893.
[17]KimBH, CaiM, KaiserPK, et al., 2007. Estimation of block sizes for rock masses with non-persistent joints. Rock Mechanics and Rock Engineering, 40(2):169-192.
[18]LangYX, LiangZZ, DongZ, 2024. Three-dimensional finite element simulation and reconstruction of jointed rock models using CT scanning and photogrammetry. Journal of Rock Mechanics and Geotechnical Engineering, 16(4):1348-1361.
[19]LêHK, HuangWC, LiaoMC, et al., 2018. Spatial characteristics of rock joint profile roughness and mechanical behavior of a randomly generated rock joint. Engineering Geology, 245:97-105.
[20]LeiQH, LathamJP, TsangCF, 2017. The use of discrete fracture networks for modelling coupled geomechanical and hydrological behaviour of fractured rocks. Computers and Geotechnics, 85:151-176.
[21]LiuQS, TianYC, LiuDF, et al., 2017. Updates to JRC-JCS model for estimating the peak shear strength of rock joints based on quantified surface description. Engineering Geology, 228:282-300.
[22]LiuRC, JiangYJ, LiB, et al., 2015. A fractal model for characterizing fluid flow in fractured rock masses based on randomly distributed rock fracture networks. Computers and Geotechnics, 65:45-55.
[23]LiuSL, WangCS, DuSG, et al., 2022. 3D morphology reconstruction of rock joints from 2D profile measurement by a profilograph. Measurement, 203:112008.
[24]LiuXG, ZhuWC, LiuYX, et al., 2022. Reconstruction of rough rock joints: 2D profiles and 3D surfaces. International Journal of Rock Mechanics and Mining Sciences, 156:105113.
[25]LiuZQ, ZhengLL, ZuoYJ, et al., 2024. Investigation of three-dimensional model reconstruction and fractal characteristics of crack propagation in jointed sandstone. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 10(1):75.
[26]NieZH, WangX, HuangDL, et al., 2019. Fourier-shape-based reconstruction of rock joint profile with realistic unevenness and waviness features. Journal of Central South University, 26(11):3103-3113.
[27]OlssonO, FalkL, ForslundO, et al.,1992. Borehole radar applied to the characterization of hydraulically conductive fracture zones in crystalline rock. Geophysical Prospecting, 40(2):109-142.
[28]PrudencioM, van Sint JanM, 2007. Strength and failure modes of rock mass models with non-persistent joints. International Journal of Rock Mechanics and Mining Sciences, 44(6):890-902.
[29]QiuB, FanLF, DuXL, 2025. Microstructure deterioration of sandstone under freeze-thaw cycles using CT technology: the effects of different water immersion conditions. Journal of Rock Mechanics and Geotechnical Engineering, 17(3):1599-1611.
[30]ShangJ, WestLJ, HencherSR, et al., 2018. Geological discontinuity persistence: implications and quantification. Engineering Geology, 241:41-54.
[31]SongJJ, 2006. Estimation of areal frequency and mean trace length of discontinuities observed in non-planar surfaces. Rock Mechanics and Rock Engineering, 39(2):131-146.
[32]SturzeneggerM, SteadD, 2009. Quantifying discontinuity orientation and persistence on high mountain rock slopes and large landslides using terrestrial remote sensing techniques. Natural Hazards and Earth System Sciences, 9(2):267-287.
[33]TronickeJ, KnollMD, 2005. Vertical radar profiling: influence of survey geometry on first-arrival traveltimes and amplitudes. Journal of Applied Geophysics, 57(3):179-191.
[34]TseR, CrudenDM, 1979. Estimating joint roughness coefficients. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 16(5):303-307.
[35]WangMR, WangJK, PanN, et al., 2007. Mesoscopic predictions of the effective thermal conductivity for microscale random porous media. Physical Review E, 75(3):036702.
[36]WangQF, LiCW, ZhaoYC, et al., 2020. Study of gas emission law at the heading face in a coal-mine tunnel based on the Lattice Boltzmann method. Energy Science & Engineering, 8(5):1705-1715.
[37]WangXG, JiaZX, ChenZY, et al., 2016. Determination of discontinuity persistent ratio by Monte-Carlo simulation and dynamic programming. Engineering Geology, 203:83-98.
[38]WasanthaPLP, RanjithPG, XuT, et al., 2014. A new parameter to describe the persistency of non-persistent joints. Engineering Geology, 181:71-77.
[39]WillenbergH, LoewS, EberhardtE, et al., 2008. Internal structure and deformation of an unstable crystalline rock mass above Randa (Switzerland): part I–internal structure from integrated geological and geophysical investigations. Engineering Geology, 101(1-2):1-14.
[40]WuQ, KulatilakePHSW, TangHM, 2011. Comparison of rock discontinuity mean trace length and density estimation methods using discontinuity data from an outcrop in Wenchuan area, China. Computers and Geotechnics, 38(2):258-268.
[41]XueDJ, LiuYT, ZhouHW, et al., 2020. Fractal characterization on anisotropy and fractal reconstruction of rough surface of granite under orthogonal shear. Rock Mechanics and Rock Engineering, 53(3):1225-1242.
[42]YangQH, FanLF, DuXL, 2025. Split short Hopkinson pressure bar (SSHPB) for the dynamic compression of sandstone under different strain rates. Journal of Rock Mechanics and Geotechnical Engineering, in press.
[43]YongR, YeJ, LiB, et al., 2018. Determining the maximum sampling interval in rock joint roughness measurements using Fourier series. International Journal of Rock Mechanics and Mining Sciences, 101:78-88.
[44]ZhangXB, JiangQH, ChenN, et al., 2016. Laboratory investigation on shear behavior of rock joints and a new peak shear strength criterion. Rock Mechanics and Rock Engineering, 49(9):3495-3512.
[45]ZhaoLH, HuangDL, ChenJY, et al., 2020. A practical photogrammetric workflow in the field for the construction of a 3D rock joint surface database. Engineering Geology, 279:105878.
[46]ZhouHW, XieH, 2003. Direct estimation of the fractal dimensions of a fracture surface of rock. Surface Review and Letters, 10(5):751-762.
Open peer comments: Debate/Discuss/Question/Opinion
<1>