Evaluation of Grouting for Hydraulic Barriers in Rock

Roman, William M.; Hockenberry, Adam N.; Berezniak, John N.; Wilson, David B.; Knight, Michael A.

doi:10.2113/gseegeosci.19.4.363

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…(a) Establishing the Evaluation Set of the Target. For an evaluation target of a project, all of its possible results can be incorporated in a set I (see (9)), and each element in set I can be specified in a range ( Table 2).…”

Section: Fuzzymentioning

confidence: 99%

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Evaluation of Ground Surface Pregrouting in a Mountain Tunnel Based on FAHP

Zhu

Sun

et al. 2019

Mathematical Problems in Engineering

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The quality of ground surface pregrouting (GSPG) is commonly qualitatively evaluated using single factor; however, the quality evaluation involves numerous facets, and a quantitative evaluation is rare. The aim of this study was to quantitatively evaluate the quality of a GSPG based on three aspects. The fuzzy analytic hierarchy process (FAHP) was adopted to obtain the final score and quality classification of the GSPG. Based on three aspects, namely, integrity, continuity, and sturdiness, a series of field tests was also conducted, qualitatively evaluating the quality of the GSPG preliminary, to obtain the required test data and verify the FAHP results. The results of the FAHP showed that the quality of the GSPG was 86.42, which could be classified as “Good”, whereas the field tests exhibited that the GSPG was effective, thereby verifying that the FAHP was reliable. In addition, the proposed method provided a detailed comprehension of the quality evaluation of GSPG and a frame of reference for analogous engineering.

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Section: Fuzzymentioning

confidence: 99%

“…Typically, the quality is evaluated indirectly using various tests. At present, the water pressure test is a common method [9][10][11][12]. Other field tests such as ultrasonic tests have been commonly applied to the quality evaluation of grouting [13].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Ground Surface Pregrouting in a Mountain Tunnel Based on FAHP

Zhu

Sun

et al. 2019

Mathematical Problems in Engineering

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“…Example 1. Suppose that (8, 0.8) is a D number, and integrate the representation according to Equation (12). The integration result is identical to {(0, 0.2), (8,0.8)}.…”

Section: Improved D Numbersmentioning

confidence: 99%

A Comprehensive Evaluation Model for Curtain Grouting Efficiency Assessment Based on Prospect Theory and Interval-Valued Intuitionistic Fuzzy Sets Extended by Improved D Numbers

et al. 2019

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Grouting-efficiency evaluation is a key element in grouting-construction control. However, most existing grouting-efficiency evaluation models do not consider the hesitation and bounded rationality of experts and have difficulty in handling the problem of incomplete decision-making information generated by experts. Furthermore, the diversity of the evaluation indicators used can be further improved. This study conducts a comprehensive evaluation model to address these problems. An objective and reasonable fuzzy evaluation method is demonstrated through the integration of interval-valued intuitionistic fuzzy sets, prospect theory, and improved D numbers. The secondary permeability index is introduced to establish a more scientific evaluation indicator system. The proposed model is implemented in evaluating the curtain-grouting efficiency of a hydropower station, and its consistency, representativeness, and superiority are validated and analyzed.

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Prediction of curtain grouting efficiency based on ANFIS

Zhong

Ren

et al. 2017

Bull Eng Geol Environ

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Evaluation of Grouting for Hydraulic Barriers in Rock

Cited by 8 publications

References 5 publications

Evaluation of Ground Surface Pregrouting in a Mountain Tunnel Based on FAHP

Evaluation of Ground Surface Pregrouting in a Mountain Tunnel Based on FAHP

A Comprehensive Evaluation Model for Curtain Grouting Efficiency Assessment Based on Prospect Theory and Interval-Valued Intuitionistic Fuzzy Sets Extended by Improved D Numbers

Prediction of curtain grouting efficiency based on ANFIS

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