Rock burst risk assessment in deep-buried underground caverns: a novel analysis method

Liu, Zhiqiang; Xue, Yiguo; Li, Shucai; Qiu, Daohong; Zhang, Lewen; Zhao, Ying; Zhou, Binghua

doi:10.1007/s12517-020-05328-4

Cited by 16 publications

(6 citation statements)

References 32 publications

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“…It was set as c = 0.1 in this paper. For an index whose interval number is a unilateral set, if [-∞, C L ] or [ C R , +∞], Ex was as a boundary value C L or C R , En was set as En- 1, and a half normal cloud model was used for expression [ 19 ].…”

Section: Evaluation Methodsmentioning

confidence: 99%

“…The cloud model, proposed by Li et al [26] and based on probability statistics and fuzzy mathematics, is a model for converting between qualitative concepts and quantitative values. It describes the randomness and fuzziness of fuzzy concepts and overcomes the deficiencies of traditional evaluation methods in dealing with randomness and fuzziness, which has been extensively used in the fields of multi-criteria group decision making, risk evaluation, and so forth [19,27]. Assuming that U is a universe of discourse expressed by an exact numerical magnitude and that C is a qualitative concept within U, then, for element x within any universe of discourse, there is a random number u(x)2[0,1] with stabilization bias, which is referred to as the membership of x relative to C. In this case, the distribution of x within U is called a cloud, and each x value is referred to as a cloud droplet, or a quantitative description of qualitative concepts.…”

Section: Cloud Modelmentioning

confidence: 99%

“…On the other hand, the fuzzy evaluation method lacks a model for the conversion between qualitative and quantitative relationships, not to mention that the concept of fuzziness is no longer fuzzy when a membership function is used to describe the fuzzy sets [ 18 ]. Therefore, a cloud model which can transform between qualitative concept and quantitative value by combining the fuzziness and randomness is more appropriate to evaluate the development feasibility of landslide dams [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

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Cloud model-based evaluation of landslide dam development feasibility

Luo

et al. 2021

PLoS ONE

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As natural backwater structures, landslide dams both threaten downstream human settlement or infrastructure and contain abundant hydro-energy and tourism resources, so research on their development feasibility is of great significance for permanently remedying them and effectively turning disasters into benefits. Through an analysis of the factors influencing landslide dam development and utilization, an index system (consisting of target, rule, and index layers) for evaluating development feasibility was constructed in this paper. Considering uncertainty and randomness in development feasibility evaluation, a cloud model-improved evaluation method was proposed to determine membership and score clouds based on the uncertainty reasoning of cloud model, and a cloud model-improved analytic hierarchy process (AHP-Cloud Model) was introduced to obtain weights. Final evaluation results were obtained using a hierarchical weighted summary. The improved method was applied to evaluate the Hongshiyan and Tangjiashan landslide dams and the results were compared with the maximum membership principle results. The results showed that the cloud model depicted the fuzziness and uncertainty in the evaluation process. The improved method proposed in this paper overcame the loss of fuzziness in the maximum membership principle evaluation results, and was capable of more directly presenting evaluation results. The development feasibility of the Hongshiyan landslide dam was relatively high, while that of the Tangjiashan landslide dam was relatively low. As suggested by these results, the evaluation model proposed in this paper has great significance for preparing a long-term management scheme for landslide dams.

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Section: Evaluation Methodsmentioning

confidence: 99%

Section: Cloud Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cloud model-based evaluation of landslide dam development feasibility

Luo

et al. 2021

PLoS ONE

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“…e cloud model can realize a good conversion between qualitative concepts and quantitative values by mutual transformation of cloud numerical characteristic values and cloud drops through cloud generator [14,15]. In the field of underground engineering, the cloud model has been successfully applied in the risk assessment of rock burst in deep-buried underground caverns, the structural damage evaluation for subway shield tunnel, and to evaluate the risk of tunnel water inrush [16][17][18][19].…”

Section: Cloud Model Eorymentioning

confidence: 99%

Risk Assessment of Shield Tunnel Construction in Karst Strata Based on Fuzzy Analytic Hierarchy Process and Cloud Model

Meng

et al. 2021

Shock and Vibration

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Karst is an unfavorable geology that is very undesirable in tunnel construction. It is extremely risky due to the complexity and fuzziness of shield excavation in karst strata. To reduce the construction risk of shield tunneling in karst strata, a risk assessment method based on cloud model and fuzzy analytic hierarchy process (FAHP) is proposed. A risk assessment index system is established, including four first-level indices of karst geological conditions, hydrogeological conditions, tunnel design, and shield construction, as well as seventeen second-level indices. Fuzzy analytic hierarchy process is used to determine the evaluation indices weights. The numerical characteristics of each index and the risk cloud diagram are obtained via the backward cloud generator and forward cloud generator, respectively. The certainty degrees of the assessment indices corresponding to each risk level are calculated, and the final risk level is determined based on the comparison of the risk cloud diagram and the principle of maximum certainty. The proposed model is applied to the risk analysis and calculation of shield tunnel engineering, and the risk assessment results indicate that the comprehensive risk level of shield tunnel construction in karst strata is level II, which is consistent with the actual project. It demonstrates that the proposed method can provide a reference for the risk assessment of shield tunnels construction in karst strata.

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“…Du et al [7] employed three-dimensional in situ stress measurements in order to investigate rock burst. Zhu et al [8], Heasley and Tulu [9], and Li et al [10] each proposed distinct analysis methods for the evaluation of rock burst.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Dynamic Mechanical Properties of Large-Diameter Mortar and Concrete Subjected to Cyclic Impact

Sun

Yang

Zhu

et al. 2020

Shock and Vibration

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Rock bursts are typically accompanied by multiple shocks. In order to explore the dynamic characteristics of filling materials in rock burst roadways, we employ the split Hopkinson pressure bar (SHPB) test to analyze the dynamic mechanical response of mortar and concrete under cyclical impact. The SHPB test results of the large-size specimen indicate the improvement in the waveform shape and the reduction in the wave dispersion via the application of the rubber sheet as the pulse shaper. Under cyclic impact, the peak stress and energy utilization ratio of mortar and concrete specimens were reduced, demonstrating obvious fatigue characteristics. The mortar peak stress and energy utilization ratio were observed to be sensitive to the impact times, while those of concrete were sensitive to impact pressure. The damage evolution of mortar and concrete exhibited very similar trends under the cyclic impact load, whereby the impact pressure had minimal effect on the damage evolution.

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Rock burst risk assessment in deep-buried underground caverns: a novel analysis method

Cited by 16 publications

References 32 publications

Cloud model-based evaluation of landslide dam development feasibility

Cloud model-based evaluation of landslide dam development feasibility

Risk Assessment of Shield Tunnel Construction in Karst Strata Based on Fuzzy Analytic Hierarchy Process and Cloud Model

Experimental Study on the Dynamic Mechanical Properties of Large-Diameter Mortar and Concrete Subjected to Cyclic Impact

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