Multi-scale topological optimization design method based on Mobile-U-Net

A technology of topology optimization and design method, applied in design optimization/simulation, instrument, biological neural network model, etc., can solve the problems affecting the evolution of macroscopic structure, time-consuming calculation, large amount of calculation, etc., to avoid multiple iterative operations, The effect of shortening calculation time and simplifying the amount of calculation

Pending Publication Date: 2021-09-03
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

However, in the traditional multi-scale structural topology optimization design method, the optimization process of the macro-micro topological configuration interacts, and in each iteration step of the multi-scale parallel design, the sensitivity information of the macro-structure guides the configuration of the micro-structure The direction

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  • Multi-scale topological optimization design method based on Mobile-U-Net
  • Multi-scale topological optimization design method based on Mobile-U-Net
  • Multi-scale topological optimization design method based on Mobile-U-Net

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[0042] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0043] like figure 1 As shown, a multi-scale structure topology optimization design method of a parallel Mobile-U-Net convolutional neural network model of the present invention includes the following steps:

[0044] Step 1, select the encoder-decoder type U-Net network used for semantic segmentation tasks in the field of deep learning as the main network architecture, and delete the encoder networ...

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Abstract

The invention belongs to the technical field related to multi-scale topological optimization, and discloses a multi-scale topological optimization design method based on Mobile-U-Net. The method comprises the following steps: S1, gridding a multi-scale topological structure to obtain a plurality of grids and the stress state of each grid, and calculating the corresponding initial displacement by using the stress state of each grid; S2, constructing a parallel Mobile-U-Net convolutional neural network prediction model, constructing a plurality of information input channels, and taking the optimized configuration as output; and S3, obtaining a macroscopic data sample set and a microscopic data sample set, training to obtain a macroscopic prediction model and a microscopic prediction model, and respectively predicting the configuration of the to-be-optimized multi-scale topological structure by using the macroscopic prediction model and the microscopic prediction model so as to obtain an optimized macroscopic configuration and an optimized microscopic configuration. The macro-micro topological configuration corresponding to the initial structure setting information can be output in real time without any finite element iteration step.

Description

technical field [0001] The invention belongs to the related technical field of multi-scale topology optimization, and more specifically relates to a design method for multi-scale topology optimization based on Mobile-U-Net. Background technique [0002] The porous structure is a structure composed of porous unit cells periodically arranged, with high porosity, it not only shows a specific macrostructure organization shape, but also its internal shape shows a dense periodic microstructure organization arrangement . The internal shape of the porous structure can absorb a large amount of energy when resisting impact loads, and is favored by engineering designers because of its high physical properties such as specific stiffness and specific strength, and has been widely used in modern biomedicine , Manned space vehicles and other fields. [0003] As an efficient optimization method, the structure topology optimization design method can complete the simultaneous optimization d...

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Application Information

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IPC IPC(8): G06F30/23G06N3/04G06F119/14
CPCG06F30/23G06F2119/14G06N3/045
Inventor 肖蜜崔芙铭高亮
Owner HUAZHONG UNIV OF SCI & TECH
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