Volume 30 Issue 3
Jun.  2024
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HOU S S,HE X,MENG X S,et al.,2024. Mesostructure and strength characteristics of granite under freeze-thaw cycles based on CT scanning[J]. Journal of Geomechanics,30(3):462−472 doi: 10.12090/j.issn.1006-6616.2022126
Citation: HOU S S,HE X,MENG X S,et al.,2024. Mesostructure and strength characteristics of granite under freeze-thaw cycles based on CT scanning[J]. Journal of Geomechanics,30(3):462−472 doi: 10.12090/j.issn.1006-6616.2022126

Mesostructure and strength characteristics of granite under freeze-thaw cycles based on CT scanning

doi: 10.12090/j.issn.1006-6616.2022126
Funds:  This research is financially supported by the National Key Research and Development Program of China (Grant No. 2021YFC3000505 and 2021YFB2301304) and the Geological Survey Project of the China Geological Survey (Grant No.DD20221748).
More Information
  • Received: 2022-11-04
  • Revised: 2023-10-11
  • Accepted: 2023-10-16
  • Available Online: 2023-11-07
  • Published: 2024-06-28
  •   Objective  With the rapid increase in construction projects in the western regions in recent years, the impact of seasonal freeze-thaw cycles in the high-altitude areas of western China has become more pronounced. Conducting research on the microscopic characteristics and strength degradation properties of rocks under freeze-thaw cycles is crucial for guiding engineering construction in these cold, high-altitude regions.   Methods  To study the influence of freeze-thaw cycles on rock structure and mechanical properties, we collected diorite samples from a tunnel in the Kangding area and examined the effects of freeze-thaw cycles on their microstructure and mechanical characteristics. Firstly, thin rock sections were observed under a polarizing microscope to obtain mineral compositions and microstructures. Then, CT scanning technology was used to scan the granite samples after freeze-thaw cycles, and the scanned layers were binarized using threshold segmentation. The scanning images of different layers were binarized using threshold segmentation, and high-resolution 3D data and images of the internal and external structures of the samples were obtained by stacking the binary image layers. Fractal theory was applied to calculate the box-counting dimension of the images and quantitatively assess their complexity. This analysis allowed us to examine the evolution and distribution characteristics of the internal structure of granite under freeze-thaw cycles.  Results  Under a polarizing microscope, the rock exhibits a block-like structure with a patchy, coarse-grained, and unequal-grained granite texture, with locally visible metasomatic worm structures. The main phenocryst minerals are alkaline feldspar. Other minerals range in size from 0.25 to 4.0 mm and primarily include quartz, plagioclase, and alkaline feldspar. Secondary minerals include biotite and epidote, while accessory minerals comprise apatite, zircon, and pyrite. Microscopically, the rock is identified as porphyritic, coarse-grained, and unequal-grained biotite diorite granite. Freeze-thaw cycles were applied to the granite samples in the laboratory to study the strength evolution and explore the relationship between structural evolution and strength. The results indicate that the freeze-thaw cycle effect leads to an overall increase in the internal porosity of the granite's microstructure, though the rock's permeability changes minimally, with an increase of only 0.003×10−3 μm2. The internal pore development is uneven, primarily due to the emergence of new micropores, causing changes in the overall structure of the sample. After freeze-thaw cycles, the complexity of the internal structure of the rock decreases, but the overall integrity remains good, with the fractal dimension staying at a high level. Fractal analysis shows that 20 freeze-thaw cycles do not cause significant changes in the structural complexity of granite. However, the overall mechanical properties of the sample decline, viscosity increases, and long-term strength shows significant attenuation, raising the strain threshold for entering the creep test stage.   Conclusion  When evaluating the safety of rocks with dense primary structures, considering only their structure may lead to deviations from the actual situation. It is essential to combine necessary strength indicators for a comprehensive evaluation. After undergoing freeze-thaw cycles, rocks tend to exhibit more significant deformation while maintaining lower strength. Therefore, appropriate treatments are required for construction in high-altitude areas. [ Significance ] This study provides a reference for applying fractal theory to the evolution of rock microstructure and the relationship between rock microstructure and strength evolution. It also offers valuable guidance for engineering construction in high-altitude and cold regions.

     

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  • [1]
    CAI P C, QUE Y, LI X, 2021. Numerical simulation of water-gas two-phase displacement process in unsaturated granite residual soil[J]. Hydrogeology & Engineering Geology, 48(6): 54-63. (in Chinese with English abstract
    [2]
    DAI J, ZHANG M, YANG F, et al , 2022. Study on the mechanical properties of microwave irradiation granite[J]. Research & Application of Building Materials(2): 1-6. (in Chinese with English abstract
    [3]
    FAN S L, 2020. Evolution of fractal and mechanical properties of cyclic dry-wet alered granite based on SEM[J]. Journal of Yangtze River Scientific Research Institute, 37(3): 102-107. (in Chinese with English abstract
    [4]
    HAI W G, 2021. Primary study on stress field characteristics and genetic mechanism of Xianshuihe tectonic belt in western Sichuan[D]. Beijing: China University of Geosciences (Beijing). (in Chinese with English abstract
    [5]
    HAO K Y, LI Y W, ZHANG N, et al, 2020. Application of fractal dimension in SEM image of activated sludge under MATLAB environment[J]. Environmental Science & Technology, 43(7): 22-27. (in Chinese with English abstract
    [6]
    HAO Z Y, 2022. Study on mechanical properties of fractured rock considering mesoscopic structure[J]. Anhui Architecture, 29(4): 135-136. (in Chinese)
    [7]
    INNOCENTE J C, PARASKEVOPOULOU C, DIEDERICHS M S, 2021. Estimating the long-term strength and time-to-failure of brittle rocks from laboratory testing[J]. International Journal of Rock Mechanics and Mining Sciences, 147: 104900. doi: 10.1016/j.ijrmms.2021.104900
    [8]
    JIA H L, XIANG W, SHEN Y J, et al, 2017. Discussion of the key issues within calculation of the fatigue damage of rocks subjected to freeze-thaw cycles[J]. Chinese Journal of Rock Mechanics and Engineering, 36(2): 335-346. (in Chinese with English abstract
    [9]
    LI D J, JIA X N, MIAO J L, et al, 2010. Analysis of fractal characteristics of fragment from rockburst test of granite[J]. Chinese Journal of Rock Mechanics and Engineering, 29(S1): 3280-3289. (in Chinese with English abstract
    [10]
    LI H Q, WANG F Q, 1992. Fractal theory and its development[J]. Studies in Dialectics of Nature(11): 20-23. (in Chinese)
    [11]
    LI M M, ZOU C S, 2022. Research on threshold image segmentation method based on improved genetic algorithm[J]. Software Engineering, 25(1): 37-40. (in Chinese with English abstract
    [12]
    LIU H M, WANG X J, DU Z J, et al, 2020. Study on pore structure characteristics of tight sandstone in Block 4 of the central Junggar Basin[J]. Journal of Geomechanics, 26(1): 96-105. (in Chinese with English abstract
    [13]
    LIU H T, QIN J K, ZHOU B, et al, 2022. Effects of curing pressure on the long-term strength retrogression of oil well cement cured under 200°C[J]. Energies, 15(16): 6071. doi: 10.3390/en15166071
    [14]
    LIU T S, FANG J D, ZHAO Y D, 2022. Comparative research on image segmentation based target detection method[J]. Computer Era(1): 14-18. (in Chinese with English abstract
    [15]
    MIAO C Y, YANG L, XU Y Z, et al, 2021. Experimental study on strength softening behaviors and micro-mechanisms of sandstone based on nuclear magnetic resonance[J]. Chinese Journal of Rock Mechanics and Engineering, 40(11): 2189-2198. (in Chinese with English abstract
    [16]
    QI L R, WANG J D, ZHANG D F, et al, 2021. A study of granite damage in the macro and microscopic scales under freezing-thawing cycles[J]. Hydrogeology & Engineering Geology, 48(5): 65-73. (in Chinese with English abstract
    [17]
    QIAO L J H, HE K H, 2021. Research on coal gangue recognition based on fractal dimension and microscopic pore structure[J]. China Mining Magazine, 30(9): 120-125. (in Chinese with English abstract
    [18]
    QIN Z M, LEI R D, 2023. Characterization of mesoscopic deterioration of sandstone exposed to freeze-thaw cycles[J]. Mining Research and Development, 43(8): 132-138. (in Chinese with English abstract
    [19]
    SHAN L Q, LIU C Q, LIU Y C, et al, 2022. Rock CT image super-resolution using residual dual-channel attention generative adversarial network[J]. Energies, 15(14): 5115. doi: 10.3390/en15145115
    [20]
    TANG Z Q, JI F, XU H H, et al, 2022. Creep characteristics and nonlinear creep damage model of Yanshanian granite in southern Henan[J]. Science Technology and Engineering, 22(16): 6421-6429. (in Chinese with English abstract
    [21]
    TIAN W, HAN N, 2017. Preliminary research on mechanical properties of 3D printed rock structures[J]. Geotechnical Testing Journal, 40(3): 483-493. doi: 10.1520/GTJ20160177
    [22]
    TIAN Y D, 2019. Triaxial compression strength and fracture development of shale with different initial porosity[J]. Mineral Engineering Research, 34(4): 40-43. (in Chinese with English abstract
    [23]
    WANG H Q, 2021. Analysis of image segmentation algorithm based on MATLAB[J]. New Technology & New Products of China(19): 1-3. (in Chinese)
    [24]
    XIA Y X, CAI J C, PERFECT E, et al, 2019. Fractal dimension, lacunarity and succolarity analyses on CT images of reservoir rocks for permeability prediction[J]. Journal of Hydrology, 579: 124198. doi: 10.1016/j.jhydrol.2019.124198
    [25]
    XIE T, LI Y G, 2013. Rock surface fractal dimension analysis based on digital camera measurement technology[J]. Engineering Journal of Wuhan University, 46(3): 345-348, 370. (in Chinese with English abstract
    [26]
    YAN K, GU T F, WANG J D, et al, 2018. A study of the micro-configuration of loess based on micro-CT images[J]. Hydrogeology & Engineering Geology, 45(3): 71-77. (in Chinese with English abstract
    [27]
    YANG H R, 2022. Study on damage mechanism of glutenite microstructure under freeze-thaw cycles[J]. Geotechnical Investigation & Surveying, 50(7): 22-29. (in Chinese with English abstract
    [28]
    YU H W, AN L, LI Y H, et al, 2021. Effect of microwave radiation on pore structure and tensile strength of metagranulite[J]. Journal of Northeastern University (Natural Science), 42(10): 1451-1458. (in Chinese with English abstract
    [29]
    ZHANG C, YU J, BAI Y, et al, 2023. Statistical damage constitutive model of rock brittle-ductile transition based on strength theory[J]. Chinese Journal of Rock Mechanics and Engineering, 42(2): 307-316. (in Chinese with English abstract
    [30]
    ZHANG G M, 2023. Research on the stratigraphic characteristics of archean ductile shear zone in Wutai Mountain area[J]. Railway Investigation and Surveying, 49(1): 47-52. (in Chinese with English abstract
    [31]
    ZHANG H M, WANG Y F, 2022. Multi-scale analysis of damage evolution of freezing-thawing red sandstones[J]. Rock and Soil Mechanics, 43(8): 2103-2114. (in Chinese with English abstract
    [32]
    ZHANG H M, YUAN C, MU N N, et al, 2022. CT image processing and mesoscopic characteristics analysis of freeze-thaw rock[J]. Journal of Xi'an University of Science and Technology, 42(2): 219-226. (in Chinese with English abstract
    [33]
    ZHANG Y, XIONG L X, 2008. Rock rheological mechanics: present state of research and its direction of development[J]. Journal of Geomechanics, 14(3): 274-285. (in Chinese with English abstract
    [34]
    ZHANG Y B, XU Y D, LIU X X, et al, 2021. Quantitative characterization and mesoscopic study of propagation and evolution of three-dimensional rock fractures based on CT[J]. Rock and Soil Mechanics, 42(10): 2659-2671. (in Chinese with English abstract
    [35]
    ZHANG Z H, WEI W, ZHANG J, et al, 2022. Determining method of multiscale fractal dimension of red bed sandstone pores based on CT scanning[J]. Bulletin of Geological Science and Technology, 41(3): 254-263. (in Chinese with English abstract
    [36]
    ZHAO N, ZHANG Y B, WANG L G, 2023. Experimental study on multi-scale creep rupture evolution of sandstone[J]. Chinese Journal of Applied Mechanics, 40(1): 87-95. (in Chinese with English abstract
    [37]
    ZHU C X, XU J M, ZHONG C J, 2021. Distributions of various compositions in granite specimen using fully convolutional network[J]. The Chinese Journal of Geological Hazard and Control, 32(1): 127-134. (in Chinese with English abstract
    [38]
    蔡沛辰,阙云,李显,2021. 非饱和花岗岩残积土水-气两相驱替过程数值模拟[J]. 水文地质工程地质,48(6):54-63.
    [39]
    戴俊,张敏,杨凡,等,2022. 微波照射花岗岩力学性能试验研究[J]. 建材技术与应用(2):1-6.
    [40]
    樊水龙,2020. 基于SEM的干湿循环蚀变花岗岩分形特征与力学特性演化规律[J]. 长江科学院院报,37(3):102-107. doi: 10.11988/ckyyb.20190037
    [41]
    郝凯越,李远威,张宁,等,2020. MATLAB环境下分形维数在活性污泥SEM图像中的应用[J]. 环境科学与技术,43(7):22-27.
    [42]
    郝志远,2022. 考虑细观结构的裂隙岩石力学性质研究[J]. 安徽建筑,29(4):135-136.
    [43]
    李德建,贾雪娜,苗金丽,等,2010. 花岗岩岩爆试验碎屑分形特征分析[J]. 岩石力学与工程学报,29(S1):3280-3289.
    [44]
    李后强,汪富泉,1992. 分形理论及其发展历程[J]. 自然辩证法研究(11):20-23.
    [45]
    李茂民,邹臣嵩,2022. 基于改进遗传算法的阈值图像分割方法[J]. 软件工程,25(1):37-40.
    [46]
    刘惠民,王学军,杜振京,等,2020. 准中4区块致密砂岩孔隙结构特征研究[J]. 地质力学学报,26(1):96-105.
    [47]
    刘天舒,房建东,赵于东,2022. 基于图像分割的目标检测方法对比研究[J]. 计算机时代(1):14-18.
    [48]
    缪澄宇,杨柳,许永震,等,2021. 基于核磁共振监测的砂岩强度软化实验及微观机制研究[J]. 岩石力学与工程学报,40(11):2189-2198.
    [49]
    戚利荣,王家鼎,张登飞,等,2021. 冻融循环作用下花岗岩损伤的宏微观尺度研究[J]. 水文地质工程地质,48(5):65-73.
    [50]
    乔力江汉,何克焓,2021. 基于分形维数及细观孔隙结构特征的煤矸石识别研究[J]. 中国矿业,30(9):120-125. doi: 10.12075/j.issn.1004-4051.2021.09.018
    [51]
    唐志强,吉锋,许汉华,等,2022. 豫南燕山期花岗岩蠕变特性及非线性蠕变损伤模型[J]. 科学技术与工程,22(16):6421-6429.
    [52]
    田彦德,2019. 不同初始孔隙度页岩的三轴压缩强度及裂隙发育规律[J]. 矿业工程研究,34(4):40-43.
    [53]
    王慧琴,2021. 基于MATLAB的图像分割算法分析[J]. 中国新技术新产品(19):1-3.
    [54]
    谢韬,李亚阁,2013. 基于数字摄影测量技术的岩石表面分形维研究[J]. 武汉大学学报(工学版),46(3):345-348,370.
    [55]
    延恺,谷天峰,王家鼎,等,2018. 基于显微CT图像的黄土微结构研究[J]. 水文地质工程地质,45(3):71-77.
    [56]
    杨鸿锐,2022. 冻融循环作用下砂砾岩微观结构损伤机制研究[J]. 工程勘察,50(7):22-29. doi: 10.3969/j.issn.1000-1433.2022.7.gckc202207004
    [57]
    于洪雯,安龙,李元辉,等,2021. 微波辐射对变粒岩孔隙结构及抗拉强度的影响[J]. 东北大学学报(自然科学版),42(10):1451-1458.
    [58]
    张超,俞缙,白允,等,2023. 基于强度理论的岩石脆延转化统计损伤本构模型[J]. 岩石力学与工程学报,42(2):307-316.
    [59]
    张光明,2023. 五台山地区太古界韧性剪切带地层特征研究[J]. 铁道勘察,49(1):47-52.
    [60]
    张慧梅,王云飞,2022. 冻融红砂岩损伤演化多尺度分析[J]. 岩土力学,43(8):2103-2114.
    [61]
    张慧梅,袁超,慕娜娜,等,2022. 冻融岩石CT图像处理及细观特征分析[J]. 西安科技大学学报,42(2):219-226.
    [62]
    张艳博,徐跃东,刘祥鑫,等,2021. 基于CT的岩石三维裂隙定量表征及扩展演化细观研究[J]. 岩土力学,42(10):2659-2671.
    [63]
    张尧,熊良宵,2008. 岩石流变力学的研究现状及其发展方向[J]. 地质力学学报,14(3):274-285.
    [64]
    张子涵,魏文,张杰,等,2022. 基于CT扫描红层砂岩孔隙多标度分形维数的确定方法[J]. 地质科技通报,41(3):254-263.
    [65]
    赵娜,张怡斌,王来贵,2023. 砂岩蠕变破裂多尺度演化试验研究[J]. 应用力学学报,40(1):87-95.
    [66]
    朱楚雄,徐金明,钟传江,2021. 基于全卷积神经网络的花岗岩中不同组分分布特征分析[J]. 中国地质灾害与防治学报,32(1):127-134.
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