Evaluation model of surrounding rock stability based on fuzzy rock engineering systems (RES)-connection cloud

Gao, Yuxu; Gao, Feng; Zhou, Keping

doi:10.1007/s10064-020-01744-8

Cited by 16 publications

(4 citation statements)

References 29 publications

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“…Firstly, each impact factor of the evaluation object is rated according to the enterprise scoring method or inductive method 13 , 14 and . Where a ij denotes the observed value of indicator a i at the j-th evaluation level e j (j = 1, 2, …, p), Normalising the resulting observations to obtain u ij = a ij /100 denotes the uncorroborated measure of influence factor a i 15 , 16 , count u ij = {a i1 , a i2 , …, a ip } (i = 1, 2, …, n), u ij is then the uncorroborated measurement matrix as shown in Eq.…”

Section: Introductionmentioning

confidence: 99%

Creep level qualitative evaluating of crushed rock based on uncertainty measurement theory and hierarchical analysis

Wu,

Mou,

Yang

2024

Sci Rep

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A large number of tectonically mixed rock belts and complex tectonic zones are distributed in the southwestern part of China. In these areas, high geostress and tectonic stresses have caused some underground rock layers to be crushed and broken, eventually forming crushed rock zones. Which may undergo creep deformation under long-term loads. The manuscript is based on a typical crushed rock in the southwestern China. Firstly, the factors affecting creep deformation were analysed, and the response law of each influencing factor to rock creep is demonstrated. Then, the theory of uncorroborated measures and hierarchical analysis were used to systematically correlate the factors influencing creep. Thereby, a creep level qualitative evaluating model of crushed rock is established. Finally, this model was used to qualitatively evaluate the creep level of the crushed rock in the study area. It is concluded that the creep level qualitative evaluating of this crushed rock is rated as Class II, which is characterised by a low creep level and small creep deformations (0–10 mm). The research results can provide a reference for the creep analysis of crushed rock and provide a basis for the safe construction of engineering slopes.

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Section: Introductionmentioning

confidence: 99%

Creep level qualitative evaluating of crushed rock based on uncertainty measurement theory and hierarchical analysis

Wu,

Mou,

Yang

2024

Sci Rep

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“…Thereafter, various other evaluation methods have also been proposed based on different engineering practices. For example, the classical single-index grading methods, such as the Protodyakonov coefficient f grading method, the tensile strength R t gradin g method, the compressive strength R c grading method 4 , Deer's RQD grading method 5 , and the elastic wave velocity Vp method 6 . In addition, there are grading methods with juxtaposition of indicators such as Chinese engineering rock grading standard (BQ method) 7 .…”

Section: Introductionmentioning

confidence: 99%

Rock mass classification prediction model using heuristic algorithms and support vector machines: a case study of Chambishi copper mine

Zhou

et al. 2022

Sci Rep

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The rock mass is one of the key parameters in engineering design. Accurate rock mass classification is also essential to ensure operational safety. Over the past decades, various models have been proposed to evaluate and predict rock mass. Among these models, artificial intelligence (AI) based models are becoming more popular due to their outstanding prediction results and generalization ability for multiinfluential factors. In order to develop an easy-to-use rock mass classification model, support vector machine (SVM) techniques are adopted as the basic prediction tools, and three types of optimization algorithms, i.e., particle swarm optimization (PSO), genetic algorithm (GA) and grey wolf optimization (GWO), are implemented to improve the prediction classification and optimize the hyper-parameters. A database was assembled, consisting of 80 sets of real engineering data, involving four influencing factors. The three combined models are compared in accuracy, precision, recall, F1 value and computational time. The results reveal that among three models, the GWO-SVC-based model shows the best classification performance by training. The accuracy of training and testing sets of GWO-SVC are 90.6250% (58/64) and 93.7500% (15/16), respectively. For Grades I, II, III, IV and V, the precision value is 1, 0.93, 0.90, 0.92, 0.83, the recall value is 1, 1, 0.93, 0.73, 0.83, and the F1 value is 1, 0.96, 0.92, 0.81, 0.83, respectively. Sensitivity analysis is performed to understand the influence of input parameters on rock mass classification. It shows that the sensitive factor in rock mass quality is the RQD. Finally, the GWO-SVC is employed to assess the quality of rocks from the southeastern ore body of the Chambishi copper mine. Overall, the current study demonstrates the potential of using artificial intelligence methods in rock mass assessment, rendering far better results than the previous reports.

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“…Thus, the stability of surrounding rock in underground excavation space must be solved urgently. At this point, the surrounding rock stability evaluation has become a heated issue in academic and engineering circles, and the surrounding rock stability analysis of underground engineering is an important method for comprehensive stability evaluation, as well as an important basis for safety design and construction [1][2][3][4]. Furthermore, the failure approach index theory has been adopted by scholars to analyze the stability of surrounding rock.…”

Section: Introductionmentioning

confidence: 99%

Evaluation method of surrounding rock stability: Failure approach index theory of strain limit analysis for engineering applications

Xiong

Yuan

et al. 2022

PLoS ONE

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In general, the ultimate parameter selection method of the failure approach index theory among the three-dimensional problems in geotechnical engineering is unclear in theory, and the symbol convention of the failure approach index in engineering calculation is contrary to the stipulation of the numerical simulation software. Hence, the values of the ultimate plastic shear strain are difficult to determine. To solve this problem, the criterion of positive tension and negative compression and the sequence of the principal stress σ1 ≤ σ2 ≤ σ3 are defined in this paper, and the expression of Mohr–Coulomb yield approach index id deduced. Under the condition of the principal strain sequence ε1 ≤ ε2 ≤ ε3, the formula of the ultimate shear strain is derived using the method of the ultimate strain analysis so as to obtain the simple expression and calculation method of the ultimate plastic shear strain, which has provided the calculation parameters for the three-dimensional ultimate plastic shear strain in the Mohr–Coulomb strain softening model and improved the failure approach index theory. In the light of the aforementioned theory, the ultimate strains of cubic concrete specimens are analyzed, and the obtained ultimate strain values are found consistent with previous research findings, which verifies the correctness and reliability of the ultimate strain analysis method. In addition, it is applied to the quantitative elastic–plastic failure analysis of the section coal pillar in Hengjin coal industry for determining its reasonable retainment width. Consequently, the research results can be embraced as the theoretical basis for the stability analysis of geotechnical materials and exhibits engineering application potential.

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Evaluation model of surrounding rock stability based on fuzzy rock engineering systems (RES)-connection cloud

Cited by 16 publications

References 29 publications

Creep level qualitative evaluating of crushed rock based on uncertainty measurement theory and hierarchical analysis

Creep level qualitative evaluating of crushed rock based on uncertainty measurement theory and hierarchical analysis

Rock mass classification prediction model using heuristic algorithms and support vector machines: a case study of Chambishi copper mine

Evaluation method of surrounding rock stability: Failure approach index theory of strain limit analysis for engineering applications

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