array(1) { ["lab"]=> string(4) "1106" } Computational Mechanics | 研究 | 中国科学院 | LabXing

Computational Mechanics

简介 计算固体力学(侧重接触、断裂等问题)以及颗粒材料

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Image-based simulations using voxel-based meshes

We capture the geometries of sand grains via Micro-CT scanning images. Instead of using conformal meshes, we discretize the grains using cubic elements that compose surrogate domains. We concern two main problems, i.e. imposing boundary conditions and frictional contacts. The shift domain method is implemented to apply Dirichlet boundary conditions under the framework of an updated Lagrangian algorithm to simulate the damage of the grain. We also develop an unbiased Nitsche’s algorithm for frictional contacts using an implicit material point method enhanced by level sets. With these techniques, we can:

1. generate databases (constitutive laws considering real shapes) for machine learning;

2. introduce realistic mechanical behaviors of assemblies of grains to the multi-scale modeling.

Some applications are as follows.

(1) Soil fabric (clay structures in microscopic scales) 

Clay behavior considering soil structures        

                   Flocculated structure                                                          Dispersed structure

(2)  Isotropic compression of an assembly of four grains reconstructed from scanning images

        

(3) Macroscopic behaviors of granular assemblies considering stress-fields of individual grains (please click the figure, it is an animation)

    

            The framework of force chains                                    Macroscopic constitutive laws

(4) Brazilian test for an elastic disc (also click the figure)

(5) Shift domain method to apply boundary conditions

   Scanning image          Level set                        Surrogate domain                    Damage field

创建: Jun 23, 2020 | 21:31