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贾义鹏, 吕庆, 尚岳全, 支墨墨, 杜丽丽. 基于证据理论的岩爆预测[J]. 岩土工程学报, 2014, 36(6): 1079-1086. DOI: 10.11779/CJGE201406013
引用本文: 贾义鹏, 吕庆, 尚岳全, 支墨墨, 杜丽丽. 基于证据理论的岩爆预测[J]. 岩土工程学报, 2014, 36(6): 1079-1086. DOI: 10.11779/CJGE201406013
JIA Yi-peng, LÜ Qing, SHANG Yue-quan, ZHI Mo-mo, DU Li-li. Rockburst prediction based on evidence theory[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(6): 1079-1086. DOI: 10.11779/CJGE201406013
Citation: JIA Yi-peng, LÜ Qing, SHANG Yue-quan, ZHI Mo-mo, DU Li-li. Rockburst prediction based on evidence theory[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(6): 1079-1086. DOI: 10.11779/CJGE201406013

基于证据理论的岩爆预测

Rockburst prediction based on evidence theory

  • 摘要: 岩爆是高地应力地区岩石开挖中的一种动力破坏现象,其机理复杂、影响因素众多,单一的评价指标无法准确描述岩爆发生的可能性。基于信息融合思想,提出一种能够综合考虑多指标共同作用的岩爆预测方法。该方法以证据理论为基础,以岩爆等级为识别框架,根据岩爆发生所需条件,选取最大切向应力与岩石单轴抗压强度比值、岩石单轴抗压强度与抗拉强度比值、岩石弹性能量指数为证据体,采用粗糙集理论客观确定了各证据体的确定信度,建立了基于证据理论的岩爆烈度预测模型。12组工程实例的预测结果表明该模型具有较好的预测精度。将该模型应用于苍岭隧道和锦屏二级水电站探硐岩爆预测,预测结果与实际情况完全吻合,说明该模型具有较好的实用性。

     

    Abstract: Rockburst is a dynamic breakage phenomenon existing in rock excavation in high in-situ stress zone, and its mechanism is complicated and the occurrence is influenced by many factors. It is almost impossible to make the prediction of its intensity through any single evaluating factor. Based on the idea of information fusion, a methodology is proposed for predicting the rockburst using the evidence theory, which can reflect the comprehensive influences of different factors. Three indices related to the occurrence condition of rockburst are taken into account as evidences in the proposed method, including the ratio of the maximum tangential stresses on cavern boundaries to the uniaxial compressive strength of rock, the ratio of the uniaxial compressive strength to the uniaxial tensile strength of rock and the elastic energy index of rock. The basic probability assignment functions are objectively constructed using the rough set theory. The predicted results of 12 practical cases show that the evidence theory method has relatively high accuracy. Finally, the model is applied to Cangling tunnel and the exploratory tunnel of Jinping II Hydropower Station. The results agree well with the field situations, which again illustrates the practicability of the proposed method.

     

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