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Numerical Modeling of the Relationship Between Mechanical Properties of Granite and Microparameters of the Flat-Joint Model Considering Particle Size Distribution

机译:考虑粒度分布的平坦式模型机械性能与微散仪的关系的数值模拟

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Deep geothermal energy is typically stored in granite reservoirs, and natural granite is highly heterogeneous because it is composed of different sizes and shapes of mineral grains. The mechanical properties of granite are significantly affected by its heterogeneity, and this may affect the fracture initiation pressure and fracture propagation direction during deep geothermal hydraulic fracturing. An extremely important aspect in examining rock heterogeneity corresponds to the relationship between its macromechanical properties and spatial arrangement of its mineral grains. In this study, a flat-joint model (FJM) in a three-dimensional particle flow code is used to examine the effect of heterogeneity [which is associated with the particle size distribution (PSD)] on the macromechanical properties of granite. Macromechanical properties of numerical models are calibrated via laboratory uniaxial compression tests and Brazilian tension tests. The results indicate that the microparameters of the FJM significantly influence rock mechanical properties, and the relationship between the microparameters and macromechanical parameters is affected by PSD.
机译:深层地热能量通常储存在花岗岩储存器中,天然花岗岩具有高度异质,因为它由矿物颗粒的不同尺寸和形状组成。花岗岩的机械性能受其异质性的显着影响,这可能影响深层地热液压压裂期间的断裂引发压力和断裂传播方向。在检查岩石异质性方面的一个非常重要的方面对应于其矿物质粒的大致力学性能与空间布置之间的关系。在该研究中,三维颗粒流量代码中的平面联合模型(FJM)用于检查金花岗岩大致力学性质的异质性[其与粒度分布(PSD)相关的效果。通过实验室单轴压缩试验和巴西张力试验校准数值模型的大致力学性质。结果表明,FJM的微肺计显着影响了岩石力学性能,并且微丙比仪和大弹性参数之间的关系受到PSD的影响。

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