Fuzzy C-means clustering analysis based on quantum particle swarm optimization algorithm for the grouping of rock discontinuity sets

Song, Shengyuan; Wang, Qing; Chen, Jianping; Li, Yanyan; Zhang, Wen; Ruan, Yunkai

doi:10.1007/s12205-016-1223-9

Cited by 25 publications

(4 citation statements)

References 19 publications

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“…Based on the fracture orientation data, an improved fuzzy C-means (FCM) method introduced by Song et al [23] and is utilized to identify the fracture sets. Rock masses are characterized by three discontinuity sets, as shown in Figure 5.…”

Section: Analysis Of Fracture Orientationmentioning

confidence: 99%

Identification of the Potential Critical Slip Surface for Fractured Rock Slope Using the Floyd Algorithm

et al. 2022

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A rock slope can be characterized by tens of persistent discontinuities. A slope can be massive. The slip surface of the slope is usually easier to expand along with the discontinuities because the shear strength of the discontinuities is substantially lower than that of the rock blocks. Based on this idea, this paper takes a jointed rock slope in Hengqin Island, Zhuhai as an example, and establishes a three-dimensional (3D) model of the studied slope by digital close-range photogrammetry to rapidly interpret 222 fracture parameters. Meanwhile, a new Floyd algorithm for finding the shortest path is developed to realize the critical slip surface identification of the studied slope. Within the 3D fracture network model created using the Monte Carlo method, a sequence of cross-sections is placed. These cross-sections containing fractures are used to search for the shortest paths between the designated shear entrances and exits. For anyone combination of entry point and exit point, the shortest paths corresponding to different cross-sections are different and cluttered. For the sake of safety and convenience, these shortest paths are simplified as a circular arc that is regarded as a potential slip surface. The fracture frequency is used to determine the probability of sliding along a prospective critical slip surface. The potential slip surface through the entrance point (0, 80) and exit point (120, 0) is identified as the final critical slip surface of the slope due to the maximum fracture frequency.

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Section: Analysis Of Fracture Orientationmentioning

confidence: 99%

Identification of the Potential Critical Slip Surface for Fractured Rock Slope Using the Floyd Algorithm

et al. 2022

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“…In this article, the FOA and a genetic algorithm were applied to search the parameters of the influence angle β and enlarged Advances in Civil Engineering radius Δa, which affect the ground uplift. In addition, we compared the complexity, program running times, and prediction precision of the two algorithms to obtain a better theoretical method of uplift prediction due to HPJG [30][31][32][33][34][35].…”

Section: The Comparison Of the Optimization Algorithms For β And δAmentioning

confidence: 99%

Firefly Optimization Algorithm for the Prediction of Uplift due to High‐Pressure Jet Grouting

Dai

Zhang³

2020

Advances in Civil Engineering

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A project that needs to be uplifted by high-pressure jet grouting (HPJG) is exposed to particular geological and engineering circumstances; meanwhile, HPJG has intense subjectivity, short of the theoretical base, to ascertain the influence angle β and enlarged radius Δ a , which are the main parameters that affect the uplift effect. Therefore, we proposed a new method based on the firefly optimization algorithm to search for the optimal solution for the target function. Stochastic medium theory (SMT) was used in this article, in which the effect of single-pile HPJG was simulated as the superposition effect of the foam slurry at the same distance, to construct a stochastic medium prediction model of the effect of uplift due to multi-HPJG. In accordance with the range of the prediction results of single-pile HPJG and combined with in situ monitoring data to define the target function, the optimal parameters are substituted into the prediction model to predict the subsequent uplift effect due to HPJG. As a result of the global optimization capacity and by comparison with the genetic algorithm, the FOA has a greater advantage in terms of effectiveness and precision. Finally, it is proven that the prediction result meets the requirement of the prediction in advance by statistical data.

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“…To ascertain the dominant orientation of the joints within each section of each adit, the joint sets within each section are identified according to an improved FCM method proposed by Song et al [34]. e dominant joint sets of each section in each adit are shown in Figure 6.…”

Section: Data Acquisition and Analysismentioning

confidence: 99%

Engineering Classification of Jointed Rock Mass Based on Connectional Expectation: A Case Study for Songta Dam Site, China

Song

Chen

et al. 2020

Advances in Civil Engineering

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Engineering classification of complex jointed rock mass is influenced and controlled by many factors with random, nonlinear, and unascertained characteristics, which is an extremely complicated problem. This paper introduces a comprehensive method to classify the rock mass with complex joints. Firstly, evaluation indexes are described by the interval number theory. Secondly, the weight values of the evaluation indexes are determined by the analytic hierarchy process (AHP). Thirdly, the connectional expectation between interval numbers is analyzed and the classification grade of jointed rock mass quality is identified by the set pair analysis theory. The new method can not only describe the dynamic evolution trend of various influencing factors, but also simplify the analysis process of the relationship between interval numbers. The Songta dam abutment rock mass is selected as a study case to verify the rationality of the new method. The classification results of rock mass quality obtained by the new method are in accordance with the actual situation and are consistent with the results provided by the RMR classification.

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Fuzzy C-means clustering analysis based on quantum particle swarm optimization algorithm for the grouping of rock discontinuity sets

Cited by 25 publications

References 19 publications

Identification of the Potential Critical Slip Surface for Fractured Rock Slope Using the Floyd Algorithm

Identification of the Potential Critical Slip Surface for Fractured Rock Slope Using the Floyd Algorithm

Firefly Optimization Algorithm for the Prediction of Uplift due to High‐Pressure Jet Grouting

Engineering Classification of Jointed Rock Mass Based on Connectional Expectation: A Case Study for Songta Dam Site, China

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