Mining Roadway Support Technology Based on Rheological Analysis in Malin Coalmine

Bai, Qishu; Xia, Yuanyou; Xin-xi, Liu; Yang, Zihan

doi:10.1016/j.egypro.2012.01.180

Cited by 3 publications

(2 citation statements)

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“…It consists of the Kelvin model and the Maxwell model (Figure 1). The Burgers model of rock failure can be expressed as follows [44][45][46]:…”

Section: Burgers Modelmentioning

confidence: 99%

“…Its advantage is that the appropriate combination of idealize utilized to capture the complex rheological properties of the act mechanical concept and the physical meaning are also simple model is generally adopted to capture the mechanical and defor rock [43]. It consists of the Kelvin model and the Maxwell model model of rock failure can be expressed as follows [44][45][46]:…”

Section: Burgers Modelmentioning

confidence: 99%

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Data-Driven Rock Strength Parameter Identification Using Artificial Bee Colony Algorithm

2022

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Rock strength parameters are essential to understanding the rock failure mechanism and safely constructing rock excavation. It is a challenging problem for determining the rock failure criterion and its parameters due to the complexity of rock media. This study adopts an artificial bee colony (ABC) algorithm to determine the Hoek-Brown failure criterion, widely used in rock engineering practice, based on experimental data. The ABC-based approach is presented in detail and applied to a collection of experimental data collected from the literature. The ABC-based approach successfully determines the Hoek-Brown failure criterion, and the determined failure envelope is in excellent agreement with the measured curve. The maximum relative error obtained by ABC is only 2.15% and is far less than the 12.24% obtained by the traditional method. Then, the developed approach is applied to the Goupitan Hydropower Station, China, and determines the rheological parameters of soft rock based on the Burgers model. The deformation of an experiment located in the Goupitan Hydropower Station is evaluated based on obtained parameters by the developed approach. The predicted deformation matches the monitored displacement in the field. The obtained parameters of the failure criterion characterize the mechanical behavior of rock mass well. Thus, the method used provides a reliable and robust approach to determining the mechanical parameters of the failure criterion.

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“…It consists of the Kelvin model and the Maxwell model (Figure 1). The Burgers model of rock failure can be expressed as follows [44][45][46]:…”

Section: Burgers Modelmentioning

confidence: 99%

Section: Burgers Modelmentioning

confidence: 99%