Method and device for obtaining reliability parameter of slope based on parallel Monte Carlo method

A Monte Carlo method and parameter acquisition technology, applied in the field of data processing, can solve problems such as the inability to take advantage of multi-core, multi-thread advantages, waste of hardware platforms, etc.
CN107220401AActive Publication Date: 2017-09-29CHINA UNIV OF GEOSCIENCES (WUHAN)
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
CHINA UNIV OF GEOSCIENCES (WUHAN)
Publication Date
2017-09-29

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Abstract

The embodiment of the invention provides a method and device for obtaining a reliability parameter of a slope based on the parallel Monte Carlo method, and belongs to the field of data processing. The method includes the steps that according to the mean value and standard deviation corresponding to m uncertainty parameters, and k training sample vectors are generated through the orthogonal design method; according to the k training sample vectors and one or more certainty parameters, slope safe factors corresponding to the k training sample vectors are obtained through the slope stability analysis method; the k training sample vectors are used as independent variables, the slope safe factors corresponding to the k training sample vectors are used as dependent variables, a mapping relationship is constituted, and an expression of the mapping relationship is obtained through the support vector machine algorithm; N to-be-tested sample vectors whose distribution complies with the joint probability is randomly generated according to the parallel Monte Carlo method, and according to the expression of the mapping relationship, the slope reliability parameter is obtained through calculation. The method effectively improves the calculation efficiency and saves the time cost of slope reliability analysis.
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Description

technical field

[0001] The invention relates to the field of data processing, in particular to a method and device for acquiring slope reliability parameters based on a parallel Monte Carlo method. Background technique

[0002] Slope stability is a common problem in industrial and agricultural production and geological disaster research. Human beings have experienced two leaps in the study of slope stability, namely: the leap from qualitative judgment to quantitative analysis, and the leap from deterministic theory to uncertainty theory. The reliability analysis method based on the Monte Carlo simulation method occupies a very important position because of its good versatility and high precision. It is often used as a benchmark for the correctness of other slope reliability evaluation methods. However, the conventional Monte Carlo simulation method also has obvious defects, that is, the calculation efficiency is insufficient.

[0003] Traditionally, the Monte Carlo method ...

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