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论文:2023,Vol:41,Issue(6):1114-1124 |
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引用本文： |
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石浩, 张后全, 吴疆宇, 宋雷, 李明, 荣传新, 陆鹏举. 考虑微元强度韦伯分布与裂纹长度幂律排布的砂岩强度预测模型[J]. 西北工业大学学报 |
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SHI Hao, ZHANG Houquan, WU Jiangyu, SONG Lei, LI Ming, RONG Chuanxin, LU Pengju. Prediction model for sandstone strength based on Weibull distribution of micro-element strength and power-law distribution of crack length[J]. Journal of Northwestern Polytechnical University |
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| 考虑微元强度韦伯分布与裂纹长度幂律排布的砂岩强度预测模型 |
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| 石浩1,2,3,4,5, 张后全2,3, 吴疆宇2,3, 宋雷2,3, 李明2,3, 荣传新1,4, 陆鹏举6 |
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1. 安徽理工大学 矿山建设工程安徽省高校重点实验, 安徽 淮南 232001;
2. 中国矿业大学 深部岩土力学与地下工程国家重点实验室, 江苏 徐州 221116;
3. 中国矿业大学 力学与土木工程学院, 江苏 徐州 221116;
4. 安徽理工大学 土木建筑学院, 安徽 淮南 232001;
5. 山东科技大学 省部共建矿山岩层智能控制与绿色开采国家重点实验室培育基地, 山东 青岛 266590;
6. 中煤矿山建设集团有限责任公司, 安徽 合肥 230000 |
| 摘要: |
| 构建统筹考虑岩石内部宏细微观缺陷影响的强度预测模型对于保障智慧矿山的建设以及井下人员设备的安全都具有重要意义。综合考虑岩石微元强度的韦伯分布与裂纹长度的幂律排布规律,采用数值模拟与理论推导方法分别建立损伤岩石试件的离散元计算模型与强度预测模型,并利用数值计算结果对理论模型的合理性进行验证。结果表明:①通过编程同时实现了PFC2D计算模型中微元强度的韦伯分布与裂纹长度的幂律排布,分析了岩石中的宏、细微观损伤与相应分布参数间的定量对应关系。②数值建立了400个同时考虑宏、细微观损伤的砂岩试件并对其进行了模拟加载,实现了对微元强度、预制裂纹信息及岩石强度间关系的统计分析。根据模拟结果构建了砂岩试件单轴抗压强度四维空间散点,得到了多损伤参量影响下的试件抗压强度流动规律。③联合Mori-Tanaka方法及岩石损伤概率分布理论,推导建立了12参数的岩石强度预测模型。该模型能够同时描述细微观微元强度与宏观裂纹信息对岩石强度的影响,并且理论模型计算结果与数值模拟结果高度吻合,相关系数达0.991。 |
| 关键词:
微元损伤统计
韦伯分布
预制裂纹长度
幂律排布
岩石强度预测模型
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| Prediction model for sandstone strength based on Weibull distribution of micro-element strength and power-law distribution of crack length |
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| SHI Hao1,2,3,4,5, ZHANG Houquan2,3, WU Jiangyu2,3, SONG Lei2,3, LI Ming2,3, RONG Chuanxin1,4, LU Pengju6 |
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1. Anhui Key Laboratory of Mining Construction Engineering, Anhui University of Science and Technology, Huainan 232001, China;
2. State Key Laboratory for Geomechanics & Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China;
3. School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China;
4. School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, China;
5. State Key Laboratory of Strata Intelligent Control and Green Mining Co-founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China;
6. China Coal Mine Construction Group Corporation LTD, Hefei 230000, China |
| Abstract: |
| It is of the great significance to construct the strength prediction model that considers the influence of the macro and micro defects in the rock in an overall manner to ensure the construction of smart mines and the safety of underground personnel and equipment. Based on the Weibull distribution of rock micro-element strength and the power-law distribution of crack length and the discrete element calculation model, the prediction model for strength of damaged rock specimens were established by numerical simulation and theoretical derivation respectively. Then the rationality of the model was verified by the calculated results. The results show that: 1) The weibull distribution of the micro-element strength and the power-law distribution of the crack length in the PFC2D calculation model are realized by programming, and the quantitative corresponding relationship between the macro, micro and micro damage in the rock and the corresponding distribution parameters is analyzed. 2) 400 sandstone specimens with macro, micro and micro damage are numerically established and loaded to achieve statistical analysis of the relationship between micro element strength, pre-crack information and rock strength. According to the simulation results, the four-dimensional space scatter points of uniaxial compressive strength of sandstone specimens are constructed, and the flow law of compressive strength of sandstone specimens under the influence of multiple damage parameters is obtained. 3) Combined with Mori Tanaka method and rock damage probability distribution theory, a 12 parameter rock strength prediction model is established. The model can both describe the influence of the micro-element strength and macroscopic crack information on the rock strength, and the model calculation results are highly consistent with the simulated results, with the correlation coefficient up to 0.991. |
| Key words:
element damage statistics
Weibull distribution
prefabricated crack length
power-law distribution
rock strength prediction model
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| 收稿日期: 2023-01-05
修回日期:
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| DOI: 10.1051/jnwpu/20234161114 |
| 基金项目: 安徽省高等学校自然科学研究重点项目(2022AH050807)、矿山建设工程安徽省高校重点实验室开放课题(GXZDSYS2022107)、安徽理工大学校青年基金(QNZD2021-03)、安徽理工大学高层次引进人才科研启动基金(2021yjrc16)、国家自然科学基金面上项目(52274145,41974164,52074240,52174090)、中央高校基本科研业务费(2018ZDPY08)与安徽省大学生创新创业训练计划(202310361111)资助 |
| 通讯作者: 张后全(1979-),中国矿业大学副教授,主要从事岩石力学及锚杆支护研究。e-mail:zhanghouquan_cumt@163.com
Email：zhanghouquan_cumt@163.com |
| 作者简介: 石浩(1991-),安徽理工大学讲师,主要从事岩石力学及锚杆支护研究。
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| 石浩 在本刊中的所有文章 |
| 张后全 在本刊中的所有文章 |
| 吴疆宇 在本刊中的所有文章 |
| 宋雷 在本刊中的所有文章 |
| 李明 在本刊中的所有文章 |
| 荣传新 在本刊中的所有文章 |
| 陆鹏举 在本刊中的所有文章 |
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