Finite element analysis method for spatial variability structure of geotechnical parameters in sequential Gaussian simulation

Abstract

The invention discloses a finite element analysis method for a spatial variability structure of geotechnical parameters in sequential Gaussian simulation. On the basis of the spatial variability structure of the parameters, a conditional random field is simulated, and the method has the obvious advantage of simulating the directional anisotropic parametric random field and is simple; according toan adopted parametric random field simulation method, with limited space observation data as known hard data, random field simulation is conducted according to second-order statistical characteristicsof the parameters under the condition, the assignment accuracy of the random field is improved, and the randomness of the random field is limited to a certain extent; the random field data generatedaccording to orthogonal grids is determined according to the shape contour of a specific calculation model, and unit data outside the contour is removed, so that the random field data of the calculation model is imported into finite element software for deterministic analysis and can be applied to repeated deterministic analysis of specific engineering landslide calculation examples, and characteristic parameters of sufficient calculation results are counted and used for evaluating the stability of a specific landslide instance.

Description

technical field [0001] The invention relates to the technical field of rock and soil exploration, in particular to a finite element analysis method for sequential Gaussian simulation of the spatial variation structure of rock and soil parameters. Background technique [0002] Due to the influence of factors such as material composition, depositional conditions, geological tectonic movement, and internal and external dynamic geological effects, most engineering rock and soil bodies are heterogeneous bodies, and their physical and mechanical parameters have strong spatial variability. This kind of spatial variability has the dual characteristics of randomness and structurality, that is, the spatial variation of parameters is structural, which means that although there are differences between parameters, they also have certain correlations; the structurality of parameter spatial variation is the parameter The connotation of the spatial variation structure includes the type of s...

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Problems solved by technology

[0003] However, the inventors found that the first type of method ignores the structural nature of the spatial variation of the parameters, resulting in relatively random parameter assignment of the unit body. Although the calculation of the primary reliability algorithm is simple, the nonlinearity of the structure-function function near the checking point High, or when the distribution of random variables deviates far from the normal distribution, the result of the first-order reliability analysis method differs too much from the exact solution, (at the same time, the first-order reliability algorithm implicitly assumes that the ...

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