%0 Journal Article
%T Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics
%J Journal of Soft Computing in Civil Engineering
%I Pouyan Press
%Z 2588-2872
%A Jiang, Wenzhong
%A Ye, Jun
%A Cui, Wenhua
%D 2018
%\ 10/01/2018
%V 2
%N 4
%P 62-71
%! Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics
%K Joint roughness coefficient (JRC)
%K Neutrosophic interval probability
%K Neutrosophic interval statistical number
%K Neutrosophic statistics
%K Scale effect
%K Anisotropy
%R 10.22115/scce.2018.143079.1086
%X In rock mechanics, mechanical properties of rock masses in nature imply complexity and diversity. The shear strength of rock mass is a key factor for affecting the stability of the rock mass. Then, the joint roughness coefficient (JRC) of rock indicates an important parameter in the shear strength and stability analysis of rock mass. Since the nature of the rock mass is indeterminate and incomplete to some extent, we cannot always express rock JRC by a certain/exact number. Therefore, this paper introduces neutrosophic interval statistical numbers (NISNs) based on the concepts of neutrosophic numbers and neutrosophic interval probability to express JRC data of the rock mass in the indeterminate setting. Then we present the calculational method of the neutrosophic average value and standard deviation of NISNs based on neutrosophic statistics. Next, by an actual case, the neutrosophic average value and standard deviation of the rock JRC NISNs are used to analyze the scale effect and anisotropy of the rock body corresponding to different sample lengths and measuring directions. Lastly, the analysis method of the scale effect and anisotropy for JRC NISNs shows its effectiveness and rationality in the actual case study.
%U https://www.jsoftcivil.com/article_81314_5f8a68c82cd53adddca5332b93f48762.pdf