Engineering Classification of Jointed Rock Mass Based on Connectional Expectation: A Case Study for Songta Dam Site, China
Joint Authors
Song, Shengyuan
Cao, Chen
Xu, Qiang
Chen, Jianping
Zhang, Wen
Li, Yongchao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-20
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Engineering classification of complex jointed rock mass is influenced and controlled by many factors with random, nonlinear, and unascertained characteristics, which is an extremely complicated problem.
This paper introduces a comprehensive method to classify the rock mass with complex joints.
Firstly, evaluation indexes are described by the interval number theory.
Secondly, the weight values of the evaluation indexes are determined by the analytic hierarchy process (AHP).
Thirdly, the connectional expectation between interval numbers is analyzed and the classification grade of jointed rock mass quality is identified by the set pair analysis theory.
The new method can not only describe the dynamic evolution trend of various influencing factors, but also simplify the analysis process of the relationship between interval numbers.
The Songta dam abutment rock mass is selected as a study case to verify the rationality of the new method.
The classification results of rock mass quality obtained by the new method are in accordance with the actual situation and are consistent with the results provided by the RMR classification.
American Psychological Association (APA)
Song, Shengyuan& Xu, Qiang& Chen, Jianping& Zhang, Wen& Cao, Chen& Li, Yongchao. 2020. Engineering Classification of Jointed Rock Mass Based on Connectional Expectation: A Case Study for Songta Dam Site, China. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1121372
Modern Language Association (MLA)
Song, Shengyuan…[et al.]. Engineering Classification of Jointed Rock Mass Based on Connectional Expectation: A Case Study for Songta Dam Site, China. Advances in Civil Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1121372
American Medical Association (AMA)
Song, Shengyuan& Xu, Qiang& Chen, Jianping& Zhang, Wen& Cao, Chen& Li, Yongchao. Engineering Classification of Jointed Rock Mass Based on Connectional Expectation: A Case Study for Songta Dam Site, China. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1121372
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121372