为了进一步开展节理面细观形貌特征对其宏观剪切特性影响的数值模拟研究,提出既可以定量地对实地采集节理试样的形貌特征进行正向分析,又能够根据预定的形貌特征范围随机地进行节理试样逆向重构的傅里叶形貌分析法.分别采用传统粗糙度分析法与傅里叶分析法对50224个实测的节理样本进行形貌分析,得到傅里叶参数计算的经验公式;确定采用离散傅立叶变换法进行不同粗糙度节理试样逆向重构时的傅里叶参数取值范围;研究成果能为快速随机重构符合一定粗糙度特性的节理轮廓,建立一个完全数字化的虚拟试验系统提供重要基础.%In order to further study the numerical effect of the mesoscopic features on the macroscopic shear characteristics of the joint surface, this paper presents a Fourier-based morphology analysis method that can both quantitatively analyze the morphological characteristics of the joint samples and construct rock joint profile morphology in purpose. First, traditional roughness analysis and Fourier analysis were used to analyze 50224 measured joint profiles, and the empirical formula of Fourier parameters was obtained. Second, the range of Fourier parameters was determined for reverse reconstruction of different roughness joints. The research results provide an important basis for the rapid random reconstruction of joint profiles that conform to certain roughness characteristics and the establishment of a fully digital virtual test system.
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