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首页> 外文期刊>Computers and Geotechnics >Hybrid Monte Carlo simulation and ANFIS-subtractive clustering method for reliability analysis of the excavation damaged zone in underground spaces
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Hybrid Monte Carlo simulation and ANFIS-subtractive clustering method for reliability analysis of the excavation damaged zone in underground spaces

机译：混合蒙特卡罗模拟与ANFIS减法聚类法相结合的地下空间开挖损伤带可靠性分析

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Excavation of an underground construction by drilling and blasting creates a zone of damaged rock around underground spaces. This zone affects the behavior of mass rock surrounding the underground spaces, which reduces the stability and increase probability of failure of the structure. In this paper a methodology was examined for computing the creation probability of damaged zone by hybriding Monte Carlo simulation (MCS) and Adaptive neuro-fuzzy inference system-subtractive clustering method (ANFIS-SCM). Also, estimating of the extension of damaged zone was addressed. A case study in a test gallery of the Gotvand dam, Iran was carried out and creation probabilities of 0.12 for highly damaged zone (HDZ) and 0.32 for EDZ were achieved. Based upon the experts' views, these values mean that almost the level of damage to the rock mass is low. Also, an extension of approximately 0.5-1 m for excavation damaged zone was obtained.
机译：通过钻孔和爆破开挖地下建筑会在地下空间周围形成一块损坏的岩石区域。该区域影响地下空间周围的块状岩石的行为，从而降低了稳定性并增加了结构破坏的可能性。本文研究了一种通过混合蒙特卡罗模拟（MCS）和自适应神经模糊推理系统-减法聚类方法（ANFIS-SCM）来计算损坏区域创建概率的方法。另外，还讨论了估计损坏区域的扩展。在伊朗Gotvand大坝的测试画廊进行了案例研究，高破坏区（HDZ）的创建概率为0.12，EDZ的创建概率为0.32。根据专家的观点，这些值意味着对岩体的破坏程度几乎很小。另外，对于挖掘损坏区域，获得了大约0.5-1 m的延伸。

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