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Texture synthesis: A novel method for generating digital models with heterogeneous diversity of rock materials and its CGM verification
Computers and Geotechnics ( IF 5.3 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.compgeo.2020.103895
Huaiguang Xiao , Lei He , Xing Li , Qianbing Zhang , Wengui Li

Abstract The interaction of meso-structures determines the macro-mechanical properties of rock material. Therefore, reliable description of heterogeneous diversity in rock is of great significance for studying its mechanical response and fracturing process. Based on the Markov random field theory, the texture synthesis method is optimized in terms of input exemplar and its best matching neighborhood size by using the mean shift clustering algorithm and the color histogram statistics. The optimized method can generate many parallel images of rock materials which have the function of feature replication and the characteristics of diverse heterogeneity. The reliability of the heterogeneous diversity models generated by the texture synthesis method is verified from three fundamental levels, including the CIELab color space, the geometric parameters of particles, and the numerical mechanical properties (CGM). The stress–strain curves and damage evolution processes of synthetic digital models under uniaxial compression have a strong characterization ability. Therefore, this new digital modeling method that represents the structural details and heterogeneous diversity of rock material can be utilized for evaluating the composition similarity and heterogeneous geometric features, and provide abundant materials for subsequent numerical mechanical analysis. This method provides a new idea for studying the meso-mechanical properties and failure mechanism of rock materials.

中文翻译:

纹理合成:一种新的岩石材料异质多样性数字模型生成方法及其 CGM 验证

摘要 细观结构的相互作用决定了岩石材料的宏观力学性质。因此,可靠地描述岩石中的非均质多样性对于研究其力学响应和压裂过程具有重要意义。基于马尔可夫随机场理论,利用均值漂移聚类算法和颜色直方图统计,在输入样本及其最佳匹配邻域大小方面对纹理合成方法进行了优化。优化后的方法可以生成具有特征复制功能和多样异质性特征的岩石材料的多幅平行图像。从三个基本层面验证了纹理合成方法生成的异构多样性模型的可靠性,包括 CIELab 色彩空间、粒子的几何参数和数值力学性能 (CGM)。单轴压缩下合成数字模型的应力-应变曲线和损伤演化过程具有很强的表征能力。因此,这种代表岩石材料结构细节和非均质多样性的新型数字建模方法可用于评估成分相似性和非均质几何特征,为后续的数值力学分析提供丰富的材料。该方法为研究岩石材料的细观力学特性和破坏机制提供了新的思路。单轴压缩下合成数字模型的应力-应变曲线和损伤演化过程具有很强的表征能力。因此,这种代表岩石材料结构细节和非均质多样性的新型数字建模方法可用于评估成分相似性和非均质几何特征,为后续的数值力学分析提供丰富的材料。该方法为研究岩石材料的细观力学特性和破坏机制提供了新的思路。单轴压缩下合成数字模型的应力-应变曲线和损伤演化过程具有很强的表征能力。因此,这种代表岩石材料结构细节和非均质多样性的新型数字建模方法可用于评估成分相似性和非均质几何特征,为后续的数值力学分析提供丰富的材料。该方法为研究岩石材料的细观力学特性和破坏机制提供了新的思路。并为后续的数值力学分析提供丰富的资料。该方法为研究岩石材料的细观力学特性和破坏机制提供了新的思路。并为后续的数值力学分析提供丰富的资料。该方法为研究岩石材料的细观力学特性和破坏机制提供了新的思路。
更新日期:2021-02-01
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