2011
DOI: 10.5897/sre10.311
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Probabilistic stability analysis of Naien water transporting tunnel and selection of support system using TOPSIS approach

Abstract: Tunnel stability analysis is a geotechnical engineering problem characterized by many sources of uncertainty. In such cases, rock and soil characteristics could not be defined by deterministic values and probabilistic technique would be as a suitable alternative. Naien water transporting tunnel is a circular tunnel with 6 m in diameter which is being excavated in such conditions and it is almost impossible to analyze the tunnel stability deterministically. To use probabilistic analysis, the best fitted distrib… Show more

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Cited by 2 publications
(2 citation statements)
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“…Numerous researchers have observed and investigated the support design system in underground conditions as a multi-criteria decision-making concept. Rafiee et al [11] applied the traditional Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to select the most efficient support system in a Naien water transporting tunnel. They created an initial decision-making matrix considering four alternatives (models of support systems) with respect to five criteria such as the probability of failure, safety factor, cost, applicability factor and displacement.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Numerous researchers have observed and investigated the support design system in underground conditions as a multi-criteria decision-making concept. Rafiee et al [11] applied the traditional Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to select the most efficient support system in a Naien water transporting tunnel. They created an initial decision-making matrix considering four alternatives (models of support systems) with respect to five criteria such as the probability of failure, safety factor, cost, applicability factor and displacement.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The weighted normalized decision-making matrix is presented in Table 4. Using Equation (11), each element of the optimal alternative is determined. The results are shown in Table 5.…”
Section: C1-installation Costsmentioning
confidence: 99%