Sample learning-based porous media modeling method

Abstract

The invention relates to a sample learning-based porous media modeling method. The method comprises the following operating steps of: (1) designing a unit model: taking a rotational ellipsoid as a pore shape, wherein a unit model structure is expressed as a 6-adjscent regular hexahedron structure; (2) selecting unit model characteristics: selecting unit direction vectors of seven long axes in the unit model as structure expression characteristic quantities; (3) collecting samples and establishing a sample library: collecting the samples by referencing a manual assessment result to establish the sample library; (4) learning design rules: aiming at the sample library in the step (3), taking a correlation model of the performance and the structure of a stochastic decision tree forest learning structure as a structure assessment tool; (5) filling a spatial mesh to generate a pore model: selecting structural parameters by utilizing the structure assessment tool in the step (4), filing ellipsoids in a three-dimensional spatial mesh to generate the pore model; and (6) generating a porous media model: constructing a solid model and performing Boolean difference operation on the solid model and the pore model in the step (5) to obtain the required porous media model. The experiments of establishing an artificial bone scaffold model prove that the control over the pore connectivity of a porous structure is realized by adopting the method; the established model can meet a specific objective; and moreover, the internal pores have high connectivity, so that the practical application of the model is facilitated.

Description

Technical field [0001] The invention involves a porosity -structured computer auxiliary design method, which specializes in a porous medium modeling method based on samples. Background technique [0002] The porous medium is a structural form that exists widely in nature, and its structure is two parts -solid matter and pores.According to its reasons, it can be divided into natural porous media and artificial porous media.The former includes naturally generated structures such as rocks, soil, animal bones, and plant rhizomes and leaves; the latter includes casting sand -shaped, ceramic, brick tiles, activated carbon, glass fiber, artificial osteogenesis and other artificial products.The porous medium mainly has the following excellent performance: a larger ratio of the surface area and the higher mechanical strength / quality ratio. At the same time, the complex and interconnected pores are conducive to the transportation and storage of fluid media.And these excellent properties ma...

AI Technical Summary

Problems solved by technology

However, since the formation of the natural porous structure is affected by the external environment, a specific sample can only reflect a specific local structure and cannot reflect the predetermined design goal, and the limitation of the sample size limits the practicability of this method.

More importantly, various computer-aided design methods lack effective design rules, and the evaluation of the designed model can only rely on subsequent simulation analysis and physical experiments.

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