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

Liu, Zongxian; Song, Wenshuai; Cui, Bo; Wang, Xiaoling; Yu, Han‐Qing

doi:10.3390/en12193674

Cited by 9 publications

(2 citation statements)

References 67 publications

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“…Subsequent monitoring of the project validated the accuracy of the model. Liu et al [23] evaluated the curtain grouting effect at a water station by establishing an objective and reasonable fuzzy evaluation method that combines interval intuitive fuzzy sets, prospect theory, and improved D number theory to further increase the diversity range of the evaluation indicators and take full account of the incompleteness of the decision information generated by experts, proving the consistency and superiority of the model. The fuzzy analytic hierarchy process was employed by Zhu et al [24] to quantify the pre-grouting effects on the Tongluo Mountain tunnel using indicators such as integrity, continuity, and solidity.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Effects of Pre-Grouting in Combination with Group Holes on the Risk of Water Inrush through Coal Seam Floors

Tian,

Gao,

Yue

et al. 2024

Water

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Coal mine pre-grouting is an important means to reduce the risk of coal seam floor water inrush, and the scientific evaluation of its effects is an important basis for the formulation of water control countermeasures and the realization of safe mining. This paper takes the Guhanshan Mine 15,051 working face grouting project as the research object and selects the grouting volume, the length of the meter grouting, the dry material value in tons of water, the complexity of faults, and the threat of water inrush at the working face as the index factors with which to evaluate the effectiveness of the grouting. The geological structure is quantified by fractal theory. The subjective, objective, and comprehensive weights of the index factors are determined by the analytic hierarchy process, the CRITIC method, and the combination weighting method. The grouting effect on the working face is quantitatively identified by the fuzzy variable set comprehensive evaluation model, and zoning is carried out. The research shows that the areas with optimal, good, qualified, and poor grouting effect at the 15,051 working face account for 4.66%, 74.34%, 21.00%, and 0% of the working face area, respectively, and the proportion at the level of qualified or above accounts for 100%. The safety results at the 15,051 working face prove that the selected evaluation index factors are representative, the established model is reliable, and the evaluation results are in line with actual conditions.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the Effects of Pre-Grouting in Combination with Group Holes on the Risk of Water Inrush through Coal Seam Floors

Tian,

Gao,

Yue

et al. 2024

Water

View full text Add to dashboard Cite

show abstract

“…Liu et al proposed a fuzzy evaluation method that integrates the interval-valued intuitionistic fuzzy sets, prospect theory, and improved D number [31]. Qiao et al integrated intuitionistic fuzzy set theory and a Bayesian network into a new human factor analysis framework.…”

Section: Introductionmentioning

confidence: 99%

A Study of Foam Bitumen Preparation for Effective Recycling of Pavement Layers

2022

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Foamed asphalt recycling technology can effectively recover waste asphalt pavement materials and achieve the sustainable utilization of resources. This technology’s core equipment is asphalt foaming equipment. Since the asphalt foaming device’s fault data are uncertain, this work proposes a method for evaluating the device’s reliability, combining triangular intuitionistic fuzzy numbers, trapezoidal intuitionistic fuzzy numbers, and expert knowledge. Using the proposed evaluation method, the failure probability of the asphalt foaming device and the importance of the bottom event were calculated. The obtained model results were found to be consistent with the actual collected data, verifying the reliability and validity of the model. Furthermore, the asphalt viscosity is one of the key factors affecting the asphalt foaming recycling technology. In this work, the influence of different viscosities on the asphalt foaming mechanism was investigated using a theoretical analysis. Then, a computational fluid dynamics (CFD) analysis method was employed to simulate the different viscosity asphalt foaming processes, aiming to identify the most suitable one for the production of high-quality foam asphalt in the foaming asphalt viscosity range. Finally, experiments were carried out to verify the results of the analysis. The results show that the asphalt foaming device’s failure probability was around 7.512 × 10−2, and the best foaming asphalt viscosity was in the range of 0.3~0.5 Pa·s.

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An improved catastrophe progression method based on HMSLGWO–AHP for grouting quality assessment

Zhu,

Yang,

et al. 2024

Engineering Reports

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Assessing the quality of grouting is a crucial step in the control of grouting construction. The evaluation methods of existing studies are complex, and the evaluation process often suffers from the subjective influence of indicator weightings, detracting from the objectivity of the results. To address these concerns, a streamlined and efficacious comprehensive assessment model is introduced. The model incorporates the catastrophe progression method, which obviates the need for index weight determination. Subsequently, the analytic hierarchy process (AHP) method improved by the hierarchical multi‐strategy learning gray wolf optimization (HMSLGWO) algorithm is employed to determine the relative significance of indices, in which, the HMSLGWO algorithm, augmented by Gaussian mixture model clustering and multi‐strategy learning, optimizes the consistency of the AHP judgment matrix. This enhancement mitigates the complexity and subjective interference associated with manual adjustments while preserving result accuracy. Additionally, modifications to the result representation of the original catastrophe progression method enhance the clarity of assessment expressions. Finally, a case study of an actual grouting initiative, alongside comparative analyses, substantiates the model's efficacy and applicability.

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

Cited by 9 publications

References 67 publications

Evaluation of the Effects of Pre-Grouting in Combination with Group Holes on the Risk of Water Inrush through Coal Seam Floors

Evaluation of the Effects of Pre-Grouting in Combination with Group Holes on the Risk of Water Inrush through Coal Seam Floors

A Study of Foam Bitumen Preparation for Effective Recycling of Pavement Layers

An improved catastrophe progression method based on HMSLGWO–AHP for grouting quality assessment

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