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Determining geomechanical parameters and a deformation uncertainty analysis of the Longtan Hydropower Station slope, China

机译:确定地质力学参数及龙天水电站坡度的变形不确定性分析

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Accurately determining geomechanical parameters and rock mass deformation are key components of slope stability assessment as well as structural design and safe construction. Numerical models are therefore commonly applied to these issues as a component of back analysis, which provides a practical tool for determining geomechanical parameters in rock engineering. Although once quantified, rock mass deformation can also be calculated using an appropriate numerical model, the traditional approaches tend to be time-consuming and cannot be used to accurately determine deformation uncertainty in practical rock engineering. A relevance vector machine (RVM) was adopted in this study to build the complex mapping relationship between geomechanical parameters and slope deformation, while an artificial bee colony (ABC) was also utilized to search for optimal parameters based on the RVM model and displacement monitored in the field. On this basis, both deformation and associated uncertainty can be predicted using this model via the input of determined geomechanical parameters. The method advocated in this paper was then applied to a rock slope at the Longtan hydropower station, China; results demonstrate that the RVM model accurately describes the relationship between geomechanical parameters and displacement increments and can thus be used to predict both deformation and associated uncertainty.
机译:准确地确定地质力学参数和岩石质量变形是边坡稳定性评估的关键部件以及结构设计和安全结构。因此,通常将数值模型应用于这些问题作为后分析的组件,它提供了一种用于确定岩石工程中的地质力学参数的实用工具。虽然一旦量化,但也可以使用适当的数值模型计算岩体质量变形,但传统方法往往是耗时的,不能用于准确地确定实际岩石工程中的变形不确定性。本研究采用相关矢量机(RVM),以构建地质力学参数和斜率变形之间的复杂映射关系,而人造蜂菌落(ABC)也用于基于RVM模型和监控的位移来搜索最佳参数。场。在此基础上,可以通过确定的地质力学参数的输入来预测变形和相关的不确定性。然后将本文主张的方法应用于中国龙潭水电站的岩石坡;结果表明,RVM模型准确地描述了地质力学参数和位移增量之间的关系,因此可以用于预测变形和相关的不确定性。

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