Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Research on rockburst proneness evaluation method of deep underground engineering based on multi-parameter criterion
The study of rockburst criterion is the key to predict the occurrence of rockburst. Based on the energy principle, a new multi-parameter rockburst criterion (RPC) were established. The accuracy and applicability of some typical rockburst engineering examples in China were verified by using some classical rockburst criteria and the newly proposed RPC. The research results show that: RPC comprehensively considers the various stress states of the surrounding rock mass unit, and reflects the integrity factors, mechanical factors, brittleness factors and energy storage factors in the process of rockburst inoculation. Three rockburst classification thresholds (2, 11 and 110) for four grades of none, weak, moderate and severe rockburst were proposed. The prediction and evaluation of rockburst by RPC is basically consistent with the actual situation of rockburst, which can better reflect the overall trend of rockburst failure in deep tunnels.
Research on rockburst proneness evaluation method of deep underground engineering based on multi-parameter criterion
The study of rockburst criterion is the key to predict the occurrence of rockburst. Based on the energy principle, a new multi-parameter rockburst criterion (RPC) were established. The accuracy and applicability of some typical rockburst engineering examples in China were verified by using some classical rockburst criteria and the newly proposed RPC. The research results show that: RPC comprehensively considers the various stress states of the surrounding rock mass unit, and reflects the integrity factors, mechanical factors, brittleness factors and energy storage factors in the process of rockburst inoculation. Three rockburst classification thresholds (2, 11 and 110) for four grades of none, weak, moderate and severe rockburst were proposed. The prediction and evaluation of rockburst by RPC is basically consistent with the actual situation of rockburst, which can better reflect the overall trend of rockburst failure in deep tunnels.
Research on rockburst proneness evaluation method of deep underground engineering based on multi-parameter criterion
Feiyue Sun (Autor:in) / Wenlong Wu (Autor:in) / Zhijia Wang (Autor:in) / Zhihai Liu (Autor:in) / Zhuang Shao (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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