组合冷却后高温花岗岩物理力学及劈裂面粗糙度试验研究

doi:10.13722/j.cnki.jrme.2010.1032

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摘要注流采热过程中干热岩(hot dry rock，HDR)浸水冷却降温与干燥自然降温区域间会形成新裂隙通道，裂隙的粗糙度直接对流体渗流传热过程产生影响。因此，以松辽盆地北部大庆地区花岗岩为研究对象，对组合冷却(单一岩体部分自然冷却，部分浸水冷却)不同初始温度(100 ℃～600 ℃)与不同冷却比例(完全自然冷却、1/4浸水冷却、1/2浸水冷却、3/4浸水冷却、完全浸水冷却)试件进行巴西劈裂试验，利用自行研制的粗糙度轮廓测试仪对劈裂面粗糙度进行测量，研究上述条件下花岗岩物理力学特性(表观温度、浸水面上移高度、外观形态、抗拉强度)与劈裂面粗糙度特性(高差参数：高差峰值谷值分布、高度均方差；纹理参数：粗糙度系数、粗糙角)变化规律，并考量高差参数与纹理参数间关系，同时建立抗拉强度与粗糙度特性间拟合曲线。研究表明：(1) 初始温度越高，岩体表观温度降幅越大，浸水冷却一侧降温速率高于自然冷却。(2) 浸水冷却过程中，浸水高度会产生上移，温度越高，上升程度越明显，出现了初始温度500 ℃，600 ℃表观温度低于400 ℃试件的异常现象。(3) 温度升高，高差峰值分布区域逐渐向浸水区域扩展；初始温度600 ℃、浸水冷却高度比为3/4，抗拉强度损失最大(84.88%，14.84%)，裂隙高差参数、纹理参数达到最值。(4) 温度不同，试件抗拉强度与粗糙度特征间拟合系数较高；浸水比例不同，拟合系数虽有不同程度下降，但仍保持一定相关性，利用抗拉强度去判断岩体劈裂面粗糙度具备较高可行性。上述研究有望为HDR热破裂时裂隙扩展规律的判定提供一定参考。

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	崔翰博
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关键词 ：岩石力学, 组合冷却, 热破裂, 浸水冷却比例, 劈裂面粗糙度

Abstract：During injection heat mining，new crack passages are developed between water cooling parts and natural cooling parts of hot dry rock(HDR)，and crack roughness has direct effects on seepage heat transfer of fluids. In this study，taking the granite in Daqing area of northern Songliao basin as the research object，Combined cooling of different initial temperatures(100 ℃–600 ℃) and different cooling ratios(0% immersion cooling，25% immersion cooling，50% immersion cooling，75% immersion cooling and 100% immersion cooling) were performed on the specimens(partly placed in water and partly kept in air)，and Brazilian split tests on the heat-treated specimens were performed. The cleavage surface roughness of the samples was measured by the customized roughness profiler to clarify the variations of physical and mechanical properties(apparent temperature，upshift of immersion surface，morphology and tensile strength) and cleavage surface roughness features(height difference parameters：distributions of peak and trough of height difference and mean square error of height；texture parameters：roughness coefficient and rough angle) of granite under the specific conditions. Meanwhile，the correlation of height difference parameters and texture parameters was investigated and the tensile strength-roughness fitting curve was developed. The results demonstrate that the reduction of the apparent temperature of the rock is proportional to the initial temperature and the reduction rate of the immersion cooling part exceeds that of the natural cooling part. During immersion water cooling，the immersion surface shifts upward and the upshift is proportional to the temperature. In extreme cases，the apparent temperature may be below 400 ℃ when the initial temperature is 500 ℃–600 ℃. The distribution of the height difference peak appears to the water cooling part as the temperature increases. With an initial temperature of 600 ℃ and an immersion cooling height ratio of 3/4，the tensile strength loss is maximized(84.88%，14.84%) and crack height difference parameters and texture parameters reach their extremes. The fitting coefficients of the tensile strength and roughness features at different temperatures are relatively high. However，the fitting coefficients at different water cooling ratios are relatively low but still remain in a reasonable range. Therefore，the determination of the rock cleavage surface roughness based on the tensile strength is highly feasible. This study provides references to the understanding of crack propagations in HDR in case of thermal cracking.

Key words： rock mechanics combined cooling thermal cracking immersion water cooling ratios cleavage surface roughness

引用本文:

崔翰博，唐巨鹏，姜昕彤. 组合冷却后高温花岗岩物理力学及劈裂面粗糙度试验研究[J]. 岩石力学与工程学报, 2021, 40(7): 1444-1459.
CUI Hanbo，TANG Jupeng，JIANG Xintong. Experimental study on mechanical performances and cleavage surface roughness of high-temperature granite after combined cooling#br#. , 2021, 40(7): 1444-1459.

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http://rockmech.whrsm.ac.cn/CN/10.13722/j.cnki.jrme.2010.1032 或 http://rockmech.whrsm.ac.cn/CN/Y2021/V40/I7/1444

[20]	TANG Z C，ZHANG Y B. Temperature-dependent peak shear-strength criterion for granite fractures[J]. Engineering Geology，2020，269：105552.
[41]	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.(GUO Baohua. Relationship among sevral roughness parameters of rock fracture surfaces[J]. Journal of Mining and Safety Engineering，2011，28(2)：241-246.(in Chinese))
[1]	BARTON N，BANDIS S，BAKHTAR K. Strength，deformation and conductivity coupling of rock joints[J]. International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstracts，1985，22(3)：121-140.
[3]	STIMPSON B. A rapid field method for recording joint roughness profiles[J]. International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstracts，1982，19(6)：345-346.
[5]	AYDAN Ö，SHIMIZU Y，KAWAMOTO T. The anisotropy of surface morphology characteristics of rock discontinuities[J]. Rock Mechanics and Rock Engineering，1996，29(1)：47-59.
[6]	DEVELI K，BABADAGLI T，COMLEKCI C. A new computer-controlled surface-scanning device for measurement of fracture surface roughness[J]. Computers and Geosciences，2001，27(3)：265-277.
[8]	KIM D H，GRATCHEV I，BALASUBRAMANIAM A. Determination of joint roughness coefficient(JRC) for slope stability analysis：a case study from the Gold，Coast area，Australia[J]. Landslides，2013，10(5)：657-664.
[10]	FRANKLIN J A，MAERZ N H，BENNETT C P. Rock mass characterization using photo analysis[J]. International Journal of Mining and Geological Engineering，1988，6(2)：97-112.
[17]	李正伟. 干热岩裂隙渗流-传热试验及储层模拟评价研究[博士学位论文][D]. 长春：吉林大学，2016.(LI Zhengwei. Research on hot dry rock fracture seepage heat transfer experiment and reservoir modeling evaluation[Ph. D. Thesis][D]. Changchun：Jilin University，2016.(in Chinese))
[28]	陈凯. 三维激光扫描仪及其测量误差影响因素分析[J]. 资源信息与工程，2017，32(5)：153-154.(CHEN Kai. 3D laser scanner and its measurement error influence factor analysis[J]. Resource Information and Engineering，2017，32(5)：153-154.(in Chinese))
[2]	WEISSBACH G. A new method for the determination of the roughness of rock joints in the laboratory[J]. International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstracts，1978，15(3)：131-133.
[4]	杜时贵. 简易纵剖面仪及其在岩体结构面粗糙度系数研究中的应用[J]. 地质科技情报，1992，11(3)：91-95.(DU Shigui. Simple profile instrument and its application on studying joint roughness coefficient of rock[J]. Geological Science and Technology Information，1992，11(3)：91-95.(in Chinese))
[13]	NEUVILLE A，TOUSSAINT R，SCHMITTBUHL J. Hydrothermal coupling in a self-affine rough fracture[J]. Physical Review. E，Statistical，Nonlinear，and Soft Matter Physics，2010，82(3 Pt 2)：036317.
[15]	NEUVILLE A，TOUSSAINT R，SCHMITTBUHL J. Hydraulic transmissivity and heat exchange efficiency of open fractures：a model based on low pass filtered apertures[J]. Geophysical Journal International，2011，186：1 064-1 072.
[19]	张志镇，高峰，高亚楠，等. 高温影响下花岗岩孔径分布的分形结构及模型[J]. 岩石力学与工程学报，2016，35(12)：2 426-2 438. (ZHANG Zhizhen，GAO Feng，GAO Yanan，et al. Fractal structure and model of pore size distribution of granite under high temperatures[J]. Chinese Journal of Rock Mechanics and Engineering，2016，35(12)：2 426-2 438.(in Chinese))
[21]	ZHAO C Z，DONG Z H，HU R，et al. Study on the effect of high temperature quenching on the surface roughness of yellow sandstone[J]. Journal of Highway and Transportation Research and Development，2019，13(4)：72-76.
[24]	TANG H M，GE Y F，WANG L Q，et al. Study on estimation method of rock mass discontinuity shear strength based on three-dimensional laser scanning and image technique[J]. Journal of Earth Science，2012，23(6)：908-913.
[26]	夏桂锁，牛志盛，刘芳，等. 地面三维激光扫描仪误差分析及标定[J]. 传感技术学报，2020，33(11)：1 620-1 626.(XIA Guisuo，NIU Zhisheng，LIU Fang，et al. Error analysis and calibration of terrestrial 3D laser scanner[J]. Chinese Journal of Sensors and Actuators，2020，33(11)：1 620-1 626.(in Chinese))
[30]	鲍新华，张宇，李野，等. 松辽盆地增强型地热系统开发选区评价[J]. 吉林大学学报：地球科学版，2017，47(2)：564-572.(BAO Xinhua，ZHANG Yu，LI Ye，et al. Evaluation of development selection for enhanced geothermal system in Songliao Basin[J]. Journal of Jilin University：Earth Science，2017，47(2)：564-572.(in Chinese))
[32]	朱焕来. 松辽盆地北部沉积盆地型地热资源研究[博士学位论文][D]. 大庆：东北石油大学，2011.(ZHU Huanlai. Research on the Sedimentary Geothermal Resources in North Songliao Basin[Ph. D. Thesis][D]. Daqing：Northeast Petroleum University，2011.(in Chinese))
[35]	杜时贵，樊良本. 岩体结构面粗糙度系数的统计估测[J]. 地球物理学报，1999，(4)：3-5.(DU Shigui，FAN Liangben. The statistical estimation of rock joint roughness coefficient[J]. Chinese Journal of Geophysics，1999，(4)：3-5.(in Chinese))
[7]	尹红梅，张宜虎，孔祥辉. 结构面剪切强度参数三维分形估算[J]. 水文地质工程地质，2011，38(4)：58-62.(YIN Hongmei，ZHANG Yihu，KONG Xianghui. Estimation of joint shear strength based on fractal method[J]. Hydrogeology and Engineering Geology，2011，38(4)：58-62.(in Chinese))
[12]	CRANDALL D，AHMADI G，SMITH D H. Computational modeling of fluid flow through a fracture in permeable rock[J]. Transport Porous Med，2010，84(2)：493-510.
[14]	NEUVILLE A，TOUSSAINT R，SCHMITTBUHL J. Fracture roughness and thermal exchange：A case study at Soultz- sous-Forêts[J]. Comptes Rendus Geoscience，2010，342：616-625.
[16]	葛云峰，唐辉明，黄磊，等. 岩体结构面三维粗糙度系数表征新方法[J]. 岩石力学与工程学报，2012，31(12)：2 508-2 517.(GE Yunfeng，TANG Huiming，HUANG Lei，et al. A new representation method for three-dimensional joint roughness coefficient of rock mass discontinuities[J]. Chinese Journal of Rock Mechanics and Engineering，2012，31(12)：2 508-2 517.(in Chinese))
[18]	DIAZ M，KIM K Y，YEOM S. Surface roughness characterization of open and closed rock joints in deep cores using X-ray computed tomography[J]. International Journal of Rock Mechanics and Mining Sciences，2017，98：10-19.
[23]	张文泉，袁久党，王忠昶，等. 采动裂隙岩体压剪渗透规律试验研究[J]. 岩土力学，2017，38(9)：2 473-2 479.(ZHANG Wenquan，YUAN Jiudang，WANG Zhongchang，et al. An experimental study on compressive shear seepage laws of mining-induced fractured rock mass[J]. Rock and Soil Mechanics，2017，38(9)：2 473-2 479.(in Chinese))
[25]	班力壬，戚承志，李晓照，等. 考虑真实接触微凸体的岩石节理三维粗糙度指标[J]. 煤炭学报，2020，45(12)：4 052-4 061.(BAN Liren，QI Chengzhi，LI Xiaozhao，et al. A 3D quantified surface description for rock joint based on the real contact asperities[J]. Journal of China Coal Society，2020，45(12)：4 052-4 061.(in Chinese))
[27]	郑嘉. 激光散射法表面粗糙度测量仪[硕士学位论文][D]. 北京：华北电力大学，2008.(ZHENG Jia. Surface roughness measurer using laser scattering[M. S. Thesis][D]. Beijing：North China Electric Power University，2008.(in Chinese))
[29]	伍小雄. 松辽盆地北部干热岩地热资源研究[博士学位论文][D]. 大庆：东北石油大学，2014.(WU Xiaoxiong. Research of geothermal resources on hot dry rock in north Songliao Basin[Ph. D. Thesis][D]. Daqing：Northeast Petroleum University，2014.(in Chinese))
[34]	中华人民共和国行业标准编写组. DZ/T 0276—2015 岩石物理力学性质试验规程[S]. 北京：中国标准出版社，2015.(The Professional Standards Compilation Group of People¢s Republic of China. DZ/T 0276—2015 Regulation for testing the physical and mechanical properties of rock[S]. Beijing：Standards Press of China，2015.(in Chinese))
[36]	ZENG L B，QI J F，WANG Y X. Origin type of tectonic fractures and geological conditions in low-permeability reservoirs[J]. Acta Petrolei Sinica，2007，28(4)：52-56.
[38]	林炜轩，王江涌. 高度分布函数与自相关函数对表面粗糙度参数的影响[J]. 表面技术，2017，46(1)：241-249.(LIN Weixuan，WANG Jiangyong. Effects of autocorrelation function and height distribution function on the 3D surface roughness parameters[J]. Surface Technology，2017，46(1)：241-249.(in Chinese))
[40]	吴禄祥. 岩石结构面粗糙度精细化表征与定量评价[硕士学位论文][D]. 杭州：浙江大学，2020.(WU Luxiang. High-precision characterization and quantitative evaluation of rock joint roughness[M. S. Thesis][D]. Hangzhou：Zhejiang University，2020.(in Chinese))
[9]	XIA C C，TANG Z C，XIAO W M，et al. New peak shear strength criterion of rock joints based on quantified surface description[J]. Rock Mechanics and Rock Engineering，2014，47(2)：387-400.
[11]	HAKAMI E，LARSSON E. Aperture measurement and flow experiments on a single natural fracture[J]. International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstract，1996，33(4)：395-404.
[22]	LIU W，CHEN Y F，HU R，et al. A two-step homogenization-based permeability model for deformable fractured rocks with consideration of coupled damage and friction effects[J]. International Journal of Rock Mechanics and Mining Sciences，2016，89：212-226.
[31]	国家统计局. 中华人民共和国2019年国民经济和社会发展统计公报[N]. 中国信息报，2020-03-02.(National Bureau of Statistics. Statistical communiqué of the People¢s Republic of China on national economic and social development in 2019[N]. China Information News，2020-03-02.(in Chinese))
[33]	杜金虎. 松辽盆地中央古隆起带(北部)天然气成藏条件分析及勘探前景[J]. 中国石油勘探，2017，22(5)：1-14.(DU Jinhu. Analysis of natural gas accumulation conditions and exploration perspective in the Central Paleo-Uplift Belt(North)，Songliao Basin[J]. Analysis of Natural Gas Accumulation Conditions，2017，22(5)：1-14.(in Chinese))
[37]	崔翰博，唐巨鹏，姜昕彤. 自然冷却和遇水冷却后高温花岗岩力-声特性试验研究[J]. 固体力学学报，2019，40(6)：571-582.(CUI Hanbo，TANG Jupeng，JIANG Xintong. Experimental study on mechanical and acoustic characteristics of high-temperature granite after natural cooling and water cooling[J]. Chinese Journal of Solid Mechanics，2019，40(6)：571-582.(in Chinese))
[39]	惠玉祥，王悦昶，刘莹. 各向异性自相关长度对三维计算机模拟表面参数的影响[J]. 表面技术，2018，47(6)：246-251.(HUI Yuxiang，WANG Yuechang，LIU Ying. Effects of anisotropic autocorrelation length on parameters of 3D computer simulation surface[J]. Surface Technology，2018，47(6)：246-251.(in Chinese))
[42]	谢和平，PARISEAU W G. 岩石节理粗糙系数(JRC)的分形估计[J]. 中国科学：B辑，1994，(5)：524-530.(XIE Heping，PARISEAU W G. Fractal estimation of rock joint roughness coefficient(JRC)[J]. Science in China：Series B，1994，(5)：524-530.(in Chinese))
[44]	TSE R. CRUDEN D M. Estimating joint roughness coefficients[J]. International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstracts. 1979，16：303-307.
[46]	梁正召，张永彬，唐世斌，等. 岩体尺寸效应及其特征参数计算[J]. 岩石力学与工程学报，2013，32(6)：1 157-1 166.(LIANG Zhengzhao，ZHANG Yongbin，TANG Shibin，et al. Size effect of rock messes and associated representative element properties[J]. Chinese Journal of Rock Mechanics and Engineering，2013，32(6)：1 157- 1 166.(in Chinese))
[43]	HANEBERG W C. Directional roughness profiles from three- dimensional photogrammetric or laser point clouds[C]// EBERHARDT E，STEAD D，MORRISON T，ed. Proceedings of the 1st Canada-U. S. Rock Mechanics Symposium. London：Taylor Francis Ltd.，2007：101-106.
[45]	CUI H B，TANG J P，JIANG X T. Effects of different conditions of water cooling at high temperature on the tensile strength and split surface roughness characteristics of hot dry rock[J]. Advances in Civil Engineering，2020，2020：8868140.