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PFC2D平节理模型细观参数标定方法
Calibration Method of Meso-Parameters of PFC2D Flat-Joint Model
投稿时间:2020-07-22  修订日期:2020-08-26
DOI:
中文关键词:  岩石  PFC2D  平节理模型  正交试验设计  细观参数标定
英文关键词:Rock  PFC2D  Flat-joint model (FJM)  Orthogonal experimental design  Meso-parameter calibration
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位邮编
张宝玉 太原理工大学 030024
张昌锁* 太原理工大学 030024
王晨龙 太原理工大学 
郝保钦 太原理工大学 
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中文摘要:
      细观参数的快速准确确定对PFC正确模拟岩石力学性质非常重要。目前平节理模型细观参数的标定研究均未考虑对泊松比和压拉比有很大影响的黏结比例?b、对影响岩石强度及裂纹产生难易程度的黏结强度变异系数Rsd这两个细观参数,且未考虑作为判断围岩损伤范围重要指标的宏观参数起裂强度σci。因此研究的参数中新增?b、Rsd、σci,采用正交数值试验方法研究了平节理模型8个细观参数与岩石6个宏观参数之间的相关性。确定了各宏观参数与主要细观参数之间的拟合关系,并分析了宏细观参数间的趋势关系。在此基础上提出了平节理模型细观参数标定流程,并根据片麻花岗岩室内物理试验的宏观力学参数确定了对应的细观参数,用标定得到的细观参数进行数值试验,模拟结果显示与物理试验结果基本吻合,说明标定流程可行。
英文摘要:
      The rapid and accurate calibration of meso-parameters is of utmost importance for the correct simulation of rock mechanical properties in PFC. Thus far, the calibration methods for flat-joint model (FJM) meso-parameters have not considered the bonding ratio, ?b, which significantly influences both Poisson’s ratio and compression-tension ratio, and the coefficient of variation of bonding strength, Rsd, which significantly influences rock strength and difficulty of crack formation. Crack initiation strength, σci, is a macro-parameter that is not often considered; however, it is an important index to judge the damage range of surrounding rock. Therefore, ?b, Rsd, and σci were included in parameter calibration study. Orthogonal numerical tests were conducted to study the correlation between the eight meso-parameters of the FJM and the six macro-parameters of the rock. The fitted relationships between each of the macro-parameters and main meso-parameters were determined; furthermore, analysis of the trend relationships between the macro- and meso-parameters was conducted. Based on the above, a FJM meso-parameters calibration method was proposed, and the calibration method was used to calibrate the meso-parameters of the gneiss granite, whose macro-parameters have already been experimentally determined. The calibrated numerical model was used to perform a series of numerical experiments, and the calibration method is verified to be feasible because the results of the numerical experiments are close to that of the physical experiments.
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