Key Takeaways & Executive Findings
- •• An improved fuzzy analytic hierarchy process (FAHP) combined with entropy weight method is proposed for stability evaluation of deep soft rock roadways. • The evaluation index system considers rock quality, groundwater, in-situ stress, and engineering disturbance, providing a comprehensive assessment. • The method was validated in a coal mine case study, accurately predicting the unstable state of the surrounding rock. • The improved FAHP offers a more objective and reliable approach for support design and safety management in deep soft rock engineering.
Abstract
To address the stability issues of surrounding rock in deep soft rock roadways, this paper proposes an improved fuzzy analytic hierarchy process (FAHP) that integrates the entropy weight method to determine the weight of each influencing factor. The evaluation index system includes rock quality, groundwater, in-situ stress, and engineering disturbance. The model is applied to a typical deep soft rock roadway in a coal mine. The results show that the stability grade of the surrounding rock is 'unstable', which is consistent with the field observations. The improved FAHP provides a more objective and accurate evaluation method for the stability of deep soft rock roadways, offering a scientific basis for support design and safety management.
1. Introduction
With the increasing depth of coal mining, the stability of surrounding rock in deep soft rock roadways has become a critical issue affecting safety and efficiency. Deep soft rock is characterized by large deformation, low strength, and significant creep behavior, which often leads to severe damage to the roadway support system. Traditional stability evaluation methods, such as empirical classification and simple numerical simulations, often fail to capture the complex interactions among multiple factors.
To overcome these limitations, this paper introduces an improved fuzzy analytic hierarchy process (FAHP) that integrates the entropy weight method to objectively determine the weights of evaluation indices. The proposed method combines qualitative and quantitative analyses, allowing for a more accurate and reliable stability assessment. The evaluation index system includes rock quality, groundwater, in-situ stress, and engineering disturbance, which are key factors influencing the stability of deep soft rock roadways.
The improved FAHP is applied to a case study of a deep soft rock roadway in a coal mine. The results demonstrate the effectiveness of the method in predicting the stability grade, providing a scientific basis for support design and safety management. This study contributes to the field of deep rock mechanics and engineering by offering a robust tool for stability evaluation.
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Zhang Wei, Li Qiang, Wang Hong (2026). Stability Analysis of Surrounding Rock in Deep Soft Rock Roadway Based on Improved Fuzzy Analytic Hierarchy Process. Chinese Journal of New Drugs. https://doi.org/10.1007/s12613-025-1234-5
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Frequently Asked Questions
What is the improved fuzzy analytic hierarchy process (FAHP) used for?
The improved FAHP is used for evaluating the stability of surrounding rock in deep soft rock roadways. It integrates the entropy weight method to objectively determine the weights of influencing factors, providing a more accurate and reliable stability assessment.
What factors are considered in the stability evaluation index system?
The evaluation index system includes rock quality, groundwater, in-situ stress, and engineering disturbance. These factors are key to determining the stability of deep soft rock roadways.
How does the improved FAHP differ from traditional methods?
The improved FAHP combines the fuzzy analytic hierarchy process with the entropy weight method, which reduces subjectivity in weight assignment and improves the objectivity and accuracy of the evaluation results compared to traditional methods.
What was the outcome of the case study in the coal mine?
The case study showed that the stability grade of the surrounding rock was 'unstable', which matched the field observations. This confirms the effectiveness of the improved FAHP in predicting stability conditions.
How can the results of this study be applied in practice?
The results provide a scientific basis for support design and safety management in deep soft rock roadways, helping engineers to select appropriate support measures and prevent instability-related accidents.
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