矿物组分分布对花岗岩力学性质影响的PFC模拟分析
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摘要
岩石矿物组分及微构造的非均质性是岩石力学参数离散性的根源,是引起岩石力学性质各向异性的本质所在。因岩石力学试验是破坏性试验,岩石力学性质的各向异性室内测定是困难的。为了研究岩石力学性质的各向异性特征,鉴于同一岩样,在不同加载方向上,其组分分布特征不同的事实,借助颗粒离散元数值模拟软件PFC(Particle Flow Code)试验可重复性的优势,在保证矿物组分含量相同的情况下,通过改变矿物分布实现各向异性的力学试验。试验结果表明6组模型的单轴抗压强度值有较大的差别,最大相差20.4 MPa,充分说明在加载方向上矿物组分分布不同,模型的单轴抗压强度值及其破坏形式亦不同,该方法为研究岩石力学性质的各向异性特征提供一条新途径。
The heterogeneity of rock mineral composition and microstructure is the root of the discreteness of rock mechanics parameters, and it is the essence of the anisotropy of rock mechanics. Because rock mechanics tests are destructive tests, anisotropic chamber measurements of rock mechanics properties are difficult. In order to study the anisotropic characteristics of rock mechanics, in view of the fact that the same rock sample has different composition distribution characteristics in different loading directions, the advantage of repeatability of PFC numerical simulation is used to ensure the same mineral component content. An anisotropic mechanical test is achieved by changing the mineral distribution. The test results show that the uniaxial compressive strength values of the six groups have a large difference, and the maximum difference is 20.4 MPa. It fully demonstrates that the mineral component distribution is different in the loading direction, and the uniaxial compressive strength value and its failure form of the model are different. This method provides a new way to study the anisotropic characteristics of rock mechanics.
The heterogeneity of rock mineral composition and microstructure is the root of the discreteness of rock mechanics parameters, and it is the essence of the anisotropy of rock mechanics. Because rock mechanics tests are destructive tests, anisotropic chamber measurements of rock mechanics properties are difficult. In order to study the anisotropic characteristics of rock mechanics, in view of the fact that the same rock sample has different composition distribution characteristics in different loading directions, the advantage of repeatability of PFC numerical simulation is used to ensure the same mineral component content. An anisotropic mechanical test is achieved by changing the mineral distribution. The test results show that the uniaxial compressive strength values of the six groups have a large difference, and the maximum difference is 20.4 MPa. It fully demonstrates that the mineral component distribution is different in the loading direction, and the uniaxial compressive strength value and its failure form of the model are different. This method provides a new way to study the anisotropic characteristics of rock mechanics.
引文
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[2]林志红,项伟,张云明.湘西红砂岩基本物理指标和微结构参数对其强度影响的试验研究[J].岩石力学与工程学报,2010,29(1):124-133.LIN Zhihong,XIANG Wei,ZHANG Yunming.Experimental study on the influence of basic physical indexes and microstructure parameters of Xiangxi red sandstone on its strength[J].Chinese Journal of Rock Mechanics and Engineering,2010,29(1):124-133.
[3]陈颙,黄庭芳,刘恩儒.岩石物理学[M].合肥:中国科学技术大学出版社,2009:6-8.
[4]尤明庆.围压对岩石试样强度的影响及离散性[J].岩石力学与工程学报,2014,33(5):929-937.YOU Mingqing.The influence of confining pressure on the strength of rock samples and its dispersion[J].Chinese Journal of Rock Mechanics and Engineering,2014,33(5):929-937
[5]PIKRYL R.Some microstructural aspects of strength variation in rocks[J].International Journal of Rock Mechanics and Mining Sciences,2001,38(5):671-682.
[6]蔡美峰,何满潮,刘东燕.岩石力学与工程[M].北京:科学出版社,2002:85-91.
[7]王家兴.石英云母片岩各向异性特征及其对围岩稳定性影响的研究[D].成都:成都理工大学,2014.WANG Jiaxing.Anisotropy of quartz mica schist and its influence on stability of surrounding rock[D].Chengdu:Chengdu University of Technology,2014.
[8]闫小兵.地壳岩石各向异性的实验研究[D].北京:中国地震局地质研究所,2008.YAN Xiaobing.Experimental study on anisotropy of crustal rocks[D].Beijing:Institute of Geology,China Earthquake Administration,2008.
[9]傅迷.湖南省白云仙矿田头天门云英岩型钨矿矿床地球化学研究[D].北京:中国地质大学(北京),2014.FU Mi.Geochemical study of Tiantou Yunyingyan type tungsten deposit in Baitouxian Mine,Hunan Province[D].Beijing:China University of Geosciences(Beijing),2014.
[10]POTYONDY D O.A bonded-disk model for rock:relating microproperties and macroproperties[C].Proceedings of the Third International Conference.Virginia,2002:330-345.
[11]李进昭.考虑细观组分实际分布的花岗岩变形破坏过程颗粒流模拟[C].中国地质学会工程地质专业委员会.2015年全国工程地质学术年会论文集.2015:6.
[12]徐金明,黄大勇,朱洪昌.基于细观组分实际分布的花岗岩宏细观参数关系[J].岩石力学与工程学报,2016,35(增刊1):2635-2643.XU Jinming,HUANG Dayong,ZHU Hongchang.The relationship between macroscopic and microscopic parameters of granite based on the actual distribution of mesoscopic components[J].Chinese Journal of Rock Mechanics and Engineering,2016,35(supply1):2635-2643.
[13]刘畅,陈晓雪,张文,等.PFC数值模拟中平行粘结细观参数标定过程研究[J].价值工程,2017,36(26):204-207.LIU Chang,CHEN Xiaoxue,ZHANG Wen,et al.Study on the calibration process of parallel bonded mesoscopic parameters in PFCnumerical simulation[J].Value Engineering,2017,36(26):204-207.
[14]刘洪磊,王培涛,杨天鸿,等.基于离散元方法的花岗岩单轴压缩破裂过程的声发射特性[J].煤炭学报,2015,40(8):1790-1795.LIU Honglei,WANG Peitao,YANG Tianhong,et al.Acoustic emission characteristics of granite uniaxial compression fracture process based on discrete element method[J].Journal of China Coal Society,2015,40(8):1790-1795.
[15]张学朋,王刚,蒋宇静,等.基于颗粒离散元模型的花岗岩压缩试验模拟研究[J].岩土力学,2014,35(增刊1):99-105.ZHANG Xuepeng,WANG Gang,JIANG Yujing,et al.Study on simulation of granite compression test based on particle discrete element model[J].Rock and Soil Mechanics,2014,35(supply1):99-105.