A Flow Field Reconstruction Method Based on Graph Convolution
A flow field and convolution technology, applied in the direction of instrumentation, design optimization/simulation, calculation, etc., can solve problems such as complex geometric shapes of research watersheds, difficult to deal with grid matrix, etc., to improve reconstruction efficiency, get rid of dependence, and facilitate personnel The effect of the operation
Active Publication Date: 2021-12-28
XI AN JIAOTONG UNIV
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However, in actual operation, most of the research watersheds have complex geometric shapes, and usually need to use unstructured grids for segmentation, which is difficult to process as a grid matrix
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[0051] The present invention will be described in further detail below in combination with the embodiments according to the content of the invention. The following is an application of the present invention, but it is not limited thereto, the implementers can modify the parameters according to the specific situation, the implementation process is as follows figure 1 shown.
[0052] Such as figure 1 As shown, a flow field reconstruction method based on graph convolution provided by the present invention includes the following steps:
[0053] The first step is to establish the research model and divide the grid. Establish the calculation model of the research object, divide the grid according to the numerical or experimental requirements, and record the grid information. For each calculation model, a set of grid information can be obtained. Each set of grid information includes the location information L of each grid node m,l and meshing method A m,m . Among them, m=1,2,3...
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The invention discloses a flow field reconstruction method based on graph convolution. The method converts the basic information of the fluid domain into graph structure data by meshing the research fluid domain, and uses graph convolution to extract the basic information and research The mapping relationship between flow fields (such as temperature, pressure, velocity, and vorticity, etc.) completes the task of obtaining various flow fields from basic information. The advantage of this method is that, on the one hand, the method quickly reconstructs the internal flow field, improves the reconstruction efficiency, reduces the economic cost, and facilitates personnel operation; on the other hand, the method processes the grid data into the form of graph structure data, Get rid of the dependence of flow field reconstruction on grid data, and break through the application scenarios of flow field reconstruction, can realize flow field reconstruction in structured grid and unstructured grid at the same time, and is not affected by the geometric shape of the research object limitations, it has great advantages over other refactoring methods.
Description
technical field [0001] The invention belongs to the technical field of flow heat exchange, and in particular relates to a flow field reconstruction method based on graph convolution. Background technique [0002] In traditional experiments and industrial testing, a series of measuring equipment is usually used for basic data testing. Contact measurement tools represented by thermocouples, pressure strain gauges, etc. can only obtain single-point information through one device. To obtain global information, a large number of measurement devices need to be distributed on the surface of the measurement object, and the internal information of the fluid domain cannot be measured. Non-contact measurement tools represented by infrared radiation and optical measurement can complete the task of obtaining area information with one device, but the measured area information is also limited to the surface. In order to solve this problem, a large number of new measurement techniques have...
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IPC IPC(8): G06F30/20G06F113/08
Inventor 谢永慧李云珠刘天源张荻
Owner XI AN JIAOTONG UNIV