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Estimation Research of Rock Deformation Parameters of Badong Group in Three Gorges Reservoir Area with Fractal Box-Dimension

机译:分形盒维的三峡库区巴东组岩石变形参数估算研究

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The deformation module of rock man is one of the important indexes for evaluating the mechanical properties of rock mass, and plays an important role on engineering construction. However, it is difficult to select accurate value of deformation module due to the nonhomogenelty and complexity of rock mass. The objective of this paper is to study the relationship among the fractal dimension, the damage variable and the deformation parameters of rock mass, and apply fractal box-dimension method to evaluate the deformation parameters of two groups of rock mass of Badong Group in Three Gorges Reservoir area. Based on the mechanic tests data and the study of related evaluation methods, the artificial neural network method with high prediction accuracy was used to check the calculation result The results indicate that this method is a new and effective approach to evaluate the mechanic parameters of rock mass, and can be used widely in geotechnical engineering.
机译:岩体变形模块是评价岩体力学性能的重要指标之一,在工程建设中具有重要作用。然而,由于岩体的非均质性和复杂性,很难选择准确的变形模数值。本文的目的是研究分形维数,损伤变量与岩体变形参数之间的关系,并采用分形盒维方法对三峡市巴东组两组岩体的变形参数进行评价。库区。在力学试验数据和相关评价方法研究的基础上,采用预测精度较高的人工神经网络方法对计算结果进行了验证。结果表明,该方法是评价岩体力学参数的一种有效的新方法。 ,可广泛用于岩土工程中。

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