A new approach for application of rock mass classification on rock slope stability assessment

Liu, Ya Ching; Chen, Chao Shi

doi:10.1016/j.enggeo.2006.09.017

Cited by 131 publications

(49 citation statements)

References 4 publications

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“…The relative importance of two elements is obtained from division rate of C i on rate of C j based on the questionnaire. This yields an n 9 n matrix A as follows (Hoseinie et al 2009): Establishing the major comparison matrix These steps should be followed to establish a major pairwise comparison matrix using the fuzzy Delphi method (Liu and Chen 2007): (a) Computation of triangular fuzzy numbers (TFNs); ã ij . In this work, the TFNs (as shown in Fig.…”

Section: Establishment Of Comparison Matrixesmentioning

confidence: 99%

Assessment of the metals contamination and their grading by SAW method: a case study in Sarcheshmeh copper complex, Kerman, Iran

et al. 2015

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Studying the distribution of metals in the soil of mineral regions is one of the most important environmental issues. These metals are transferred to the cycle of nature by geogenic and anthropogenic resources, causing serious short-and long-term effects, and posing serious risks for the survival of living organisms. Various mining activities, smelting and beneficiation processes are important anthropogenic factors in the presence of metals in soil, which play a far more effective role in soil pollution than natural factors. Sarcheshmeh copper mine in Kerman is one of the largest copper sulfide mines in the world, for which evaluation and grading of metals contamination has paramount importance due to the high volume of mining. In this study, in order to determine the metal content in the surface soil from the Sarcheshmeh copper complex soils area, 120 surface soil samples were taken from a depth of 30 cm, and analyzed for the metals Pb, Ni, Se, Mo and Zn using the ICP-MS method. Then, the contamination coefficient, enrichment factor and geoaccumulation index of these metals were calculated. Based on expert views on the relative importance of each of the indicators and their final weight, risk assessment and grading by the simple additive weighting (SAW) method was performed. According to the results, the highest risk of pollution was obtained for nickel and the lowest was for selenium.

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Section: Establishment Of Comparison Matrixesmentioning

confidence: 99%

Assessment of the metals contamination and their grading by SAW method: a case study in Sarcheshmeh copper complex, Kerman, Iran

et al. 2015

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show abstract

“…For establishing a major pair-wise comparison matrix in the fuzzy Delphi method and calculation of the relative fuzzy weights of the decision elements, three steps should be carried out as follows (Liu and Chen 2007): (a) Computation of triangular fuzzy numbers (TFNs); ij a . In this work, the TFNs (as shown in Fig.…”

Section: Establishment Of Major Pair-wise Comparison Matrixmentioning

confidence: 99%

“…The fuzzy Delphi method (FDM) is a methodology in which subjective data of experts are transformed into quasi-objective data using statistical analysis and fuzzy operations (Liu and Chen 2007). The main advantages of FDM are that it can reduce the number of surveys to save time and cost and it also includes the individual attributes of all experts (Liu andChen 2007, Kaufman 1988). Thus, it can effectively determine the weighting of each parameter.…”

Section: Introductionmentioning

confidence: 99%

“…AHP incorporates the evaluations of all decision makers into a final decision, without having to elicit their utility functions on subjective and objective criteria, by pairwise comparisons of the alternatives (Saaty 1980). It is known that group decision-making is a very important and powerful tool to accelerate the consensus of various opinions from experts who are experienced in practices (Liu and Chen 2007). The fuzzy Delphi method (FDM) is a methodology in which subjective data of experts are transformed into quasi-objective data using statistical analysis and fuzzy operations (Liu and Chen 2007).…”

Section: Introductionmentioning

confidence: 99%

“…It is known that group decision-making is a very important and powerful tool to accelerate the consensus of various opinions from experts who are experienced in practices (Liu and Chen 2007). The fuzzy Delphi method (FDM) is a methodology in which subjective data of experts are transformed into quasi-objective data using statistical analysis and fuzzy operations (Liu and Chen 2007). The main advantages of FDM are that it can reduce the number of surveys to save time and cost and it also includes the individual attributes of all experts (Liu andChen 2007, Kaufman 1988).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Fuzzy Classification System for Evaluating the Health Condition of Marine Concrete Structures

Champiri

Mousavizadegan

Moodi

2012

ACT

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This paper presents a new classification system called the Marine Structure Health index (MSHi). An evaluation model based on the fuzzy Delphi analytic hierarchy process (FDAHP) has been used for estimation of health in marine concrete structures. For this purpose, fifteen types of cracking in concrete, surface distresses, and miscellaneous distresses have initially been investigated and rated. In the MSHi system, a number from 0 to 100 is assigned to the health of a structure. Based on the MSHi classification, the health of a structure is classified into five modes from the view point of distress: very poor, poor, medium, good and very good.

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Rock mass classification in slope engineering with special emphasis on Slope mass rating: Current status and future projections

Siddique

2024

Geological Journal

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Rock mass classification (RMC) systems in the realm of rock slope engineering have gathered a lot of attention. The present review article delves into the major RMC systems, elucidating their fundamental principles, key parameters and practical applications. Among the various RMC systems for rock slope designing, Romana's Slope mass rating (SMR) was found to be the most comprehensive; therefore, the focus of the discussion centres around the SMR method. The article provides a crisp overview of the major advancements, evolution and potential challenges of SMR. The radical concept of wedge failure in SMR and the use of continuous functions are discussed in detail. A thorough discussion is provided on the efforts made by different researchers, encompassing the inclusion of novel factors such as slope height, heterogeneity in rock mass or lithology, weighted consideration of existing discontinuities, fuzzy sets and overburden thickness. Various automated calculation techniques and empirical correlations of SMR with other classification systems and rock engineering parameters are also outlined. Moreover, a critical examination of the variations among major extensions of SMR and their geotechnical relevance have also been discussed. Based on a meticulous assessment of the susceptibility to toppling failure in SMR, two sub‐factors to include block shape and interlayer slip between discontinuities have been suggested. These sub‐factors were validated by Goodman's tests for toppling failure. The scope of future projections or possible aspects for revisiting and refinement of the SMR method are suggested to enhance the applicability of the method under a diverse initial set of geotechnical conditions.

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A new approach for application of rock mass classification on rock slope stability assessment

Cited by 131 publications

References 4 publications

Assessment of the metals contamination and their grading by SAW method: a case study in Sarcheshmeh copper complex, Kerman, Iran

Assessment of the metals contamination and their grading by SAW method: a case study in Sarcheshmeh copper complex, Kerman, Iran

A Fuzzy Classification System for Evaluating the Health Condition of Marine Concrete Structures

Rock mass classification in slope engineering with special emphasis on Slope mass rating: Current status and future projections

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