Investigation on the Indeterminate Information of Rock Joint Roughness through a Neutrosophic Number Approach

作     者：Changshuo Wang Liangqing Wang Shigui Du Jun Ye Rui Yong 

作者机构：Institute of Rock MechanicsNingbo UniversityNingbo315211China Faculty of EngineeringChina University of GeosciencesWuhan430074China Department of Civil EngineeringShaoxing UniversityShaoxing312000China 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2021年第129卷第11期

页      面：973-991页

核心收录：

学科分类：081401[工学-岩土工程] 08[工学] 0814[工学-土木工程] 0701[理学-数学] 

基　　金：This work is supported by Key Program of National Natural Science Foundation of China(No.41931295) General Program of National Natural Science Foundation of China(No.41877258) 

主　　题：Rock joint roughness coefficient uncertainty indeterminate information neutrosophic number spectral analysis 

摘      要：To better estimate the rock joint shear strength,accurately determining the rock joint roughness coefficient(JRC)is the first step faced by researchers and ***,there are incomplete,imprecise,and indeterminate problems during the process of calculating the *** paper proposed to investigate the indeterminate information of rock joint roughness through a neutrosophic number approach and,based on this information,reported a method to capture the incomplete,uncertain,and imprecise information of the JRC in uncertain *** uncertainties in the JRC determination were investigated by the regression correlations based on commonly used statistical parameters,which demonstrated the drawbacks of traditional JRC regression correlations in handling the indeterminate information of the ***,the commonly used statistical parameters cannot reflect the roughness contribution differences of the asperities with various scales,which induces additional indeterminate information.A method based on the neutrosophic number(NN)and spectral analysis was proposed to capture the indeterminate information of the *** proposed method was then applied to determine the JRC values for sandstone joint samples collected from a rock *** comparison between the JRC results obtained by the proposed method and experimental results validated the effectiveness of the ***,comparisons made between the spectral analysis and common statistical parameters based on the NN also demonstrated the advantage of spectral ***,the NN and spectral analysis combined can effectively handle the indeterminate information in the rock joint roughness.