2020
DOI: 10.1155/2020/3581963
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Engineering Classification of Jointed Rock Mass Based on Connectional Expectation: A Case Study for Songta Dam Site, China

Abstract: 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… Show more

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Cited by 3 publications
(2 citation statements)
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References 16 publications
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“…Jalalifar et al (2011) combined fuzzy set theory and neural network to propose an adaptive neuro-fuzzy inference system for predicting rock mass grade using a weighted interval for index weight. Song et al (2020) proposed an engineering classi cation method for jointed rock masses based on connectional expectations. By representing evaluation indices utilizing interval number theory, the index weights were determined by the analytic hierarchy process (AHP).…”
Section: Introductionmentioning
confidence: 99%
“…Jalalifar et al (2011) combined fuzzy set theory and neural network to propose an adaptive neuro-fuzzy inference system for predicting rock mass grade using a weighted interval for index weight. Song et al (2020) proposed an engineering classi cation method for jointed rock masses based on connectional expectations. By representing evaluation indices utilizing interval number theory, the index weights were determined by the analytic hierarchy process (AHP).…”
Section: Introductionmentioning
confidence: 99%
“…Rock fractures have a controlling function in the stability of the rock slope with a planar failure surface [1,2]. e failure inside rock mass often occurs along the weak structural plane, and deformation and failure of rock projects are greatly affected by mechanical properties of the structural plane under the external loading [3][4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%