Gradient dot matrix sandwich structure optimization method driven by agent model

Abstract

The invention belongs to the related technical field of structure optimization, and discloses a gradient dot matrix sandwich structure optimization method driven by an agent model, which comprises thefollowing steps of: (a) constructing a prototype dot matrix and a sample dot matrix based on a level set function, calculating an elastic tensor of the sample dot matrix and using the elastic tensorto build the agent model to predict mechanical properties of the dot matrix unit; (b) optimizing the density of each slice layer by adopting a variable thickness method based on the agent model, and determining the thicknesses of an upper panel, a middle sandwich and a lower panel of the sandwich structure according to the optimized slice layer density distribution; (c) optimizing density distribution of the dot matrix units in the sandwich layer by adopting a free material optimization model based on the agent model; and (d) performing shape interpolation on the dot matrix units in the sandwich layer based on the relative density of the dot matrix units in the sandwich layer to obtain the specific configuration of the gradient dot matrix in the sandwich layer, thereby realizing a topological optimization process and improving the mechanical properties of the sandwich structure.

Description

technical field [0001] The invention belongs to the related technical field of structure optimization, and more specifically relates to a gradient lattice sandwich structure optimization method driven by a proxy model. Background technique [0002] Sandwich structures have many excellent properties, such as ultra-light weight, high specific bending stiffness / strength, efficient absorption of impact energy, excellent acoustic and thermal properties, and are widely used in aerospace, biomedical, architectural engineering and other related structural design fields. Multiscale topology optimization is an effective sandwich design method, which can efficiently utilize the materials of the sandwich structure, so that the sandwich structure has lower mass and better mechanical properties under a given load condition. The sandwich structure topology optimization design method with gradient lattice sandwich can fully explore the thickness distribution of the upper and lower panels of...

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Problems solved by technology

For example, document 2: "A.Catapano and M.Montemurro, A multi-scale approach for the optimal design of sandwich plates with honeycomb core, CompositeStructures, 118 (2014) 664-690." discloses a multi-scale optimal design of sandwich structures The strategy not only considers the meso-scale optimization of the sandwich structure sandwich unit configuration and face layer, but also considers the macro-scale optimization of the entire sandwich structure. Although this strategy uses the multi-scale topology optimization method to comprehensively optimize the sandwich structure, However, the computational cost of this optimization method is very high, which makes it difficult to apply this strategy to large-scale engineering problems.

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