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Soft Computing in Civil Engineering
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Volume Volume 2 (2018)
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Jiang, W., Ye, J., Cui, W. (2018). Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics. Soft Computing in Civil Engineering, 2(4), 62-71. doi: 10.22115/scce.2018.143079.1086
Wenzhong Jiang; Jun Ye; Wenhua Cui. "Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics". Soft Computing in Civil Engineering, 2, 4, 2018, 62-71. doi: 10.22115/scce.2018.143079.1086
Jiang, W., Ye, J., Cui, W. (2018). 'Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics', Soft Computing in Civil Engineering, 2(4), pp. 62-71. doi: 10.22115/scce.2018.143079.1086
Jiang, W., Ye, J., Cui, W. Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics. Soft Computing in Civil Engineering, 2018; 2(4): 62-71. doi: 10.22115/scce.2018.143079.1086

Scale Effect and Anisotropic Analysis of Rock Joint Roughness Coefficient Neutrosophic Interval Statistical Numbers Based on Neutrosophic Statistics

Article 5, Volume 2, Issue 4 - Serial Number 6, Autumn 2018, Page 62-71  XML PDF (831.82 K)
Document Type: Regular Article
DOI: 10.22115/scce.2018.143079.1086
Authors
Wenzhong Jiang1; Jun Ye email orcid 2; Wenhua Cui3
1School of Civil Engineering, Shaoxing University, Shaoxing, Zhejiang 312000, China
2Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, Shaoxing, Zhejiang Province 312000, P.R. China
3Department of Electrical Engineering and Automation, Shaoxing University, Shaoxing, Zhejiang 312000, China
Receive Date: 03 August 2018,  Revise Date: 22 September 2018,  Accept Date: 26 September 2018 
Abstract
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 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.

Highlights
Keywords
Joint roughness coefficient (JRC); Neutrosophic interval probability; Neutrosophic interval statistical number; Neutrosophic statistics; Scale effect; Anisotropy
Main Subjects
Fuzzy Logic (FL) and Fuzzy Systems
Statistics
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