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.

Active Publication Date: 2017-09-29
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

The conventional Monte Carlo method is a typical serial method, which cannot take advantage of the m

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

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Embodiment Construction

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0030] It should be noted that like nume...

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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.

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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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23
Inventor 刘晓唐辉明黄磊马俊伟龚松林邹宗兴张抒王飞
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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