Axial modal identification method for a structure

An identification method and axial mode technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficult identification of axial mode results

Active Publication Date: 2019-06-21
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0005] In order to overcome the problem that the axial modal results are mixed in multi-order modes and difficult to identify in the simulation modal analysis process of large and complex part structures, the present invention provides an axial modal identification method for complex models

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  • Axial modal identification method for a structure
  • Axial modal identification method for a structure
  • Axial modal identification method for a structure

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[0037] In order to better illustrate the purpose and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and examples of implementation.

[0038] The present invention describes an axial modal recognition method for structures, a method for axial modal recognition for structures, and its main process in an embodiment is as follows figure 1 As shown, it specifically includes the following steps:

[0039] Step 1: Import the 3D model of the structure to be analyzed into the Hypermesh software for model pre-processing, and pre-clean the detailed features such as bolt holes and process chamfers on the model. Then mesh division, grouping and adjustment for at least part of the structure to improve the grid quality, specifically to divide and group different characteristic parts of the structure model, and establish 3D grids or 2D pull-outs for each group according to its complexity. The g...

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Abstract

The invention provides an axial mode recognition method for a structure. The axial modal identification method comprises the following steps: firstly, establishing a finite element model of a structure; setting constraint conditions and carrying out modal analysis; then reading effective quality data of each order of mode from a generated result file, defining and calculating an axial quality ratio function (EMP) of each order of mode, performing preliminary screening, then reading corresponding node displacement data, defining and calculating an axial motion node proportion (ANP) of the corresponding mode, and finally classifying and identifying the structure modes. According to the analysis and recognition method, a high-degree-of-freedom complex finite element model composed of hundredsof thousands of units can be processed, modal results can be accurately classified and recognized in dozens of or even hundreds of orders of modes, and the method is beneficial for improving the simulation efficiency, shortening the simulation period and improving the guiding effect of simulation analysis on actual production.

Description

technical field [0001] The invention belongs to the field of finite element vibration simulation, and in particular relates to an axial mode recognition method for structures. Background technique [0002] With the complexity of the modern mechanical working environment, various mechanical equipment and products such as automobile parts, spacecraft parts, vibration equipment parts, etc. usually need to work in a periodically excited vibration environment. In order to analyze the vibration environment of these parts Most of the response conditions under the following conditions require modal analysis. The results of each fundamental frequency and its mode shape generated by modal analysis can intuitively indicate the inherent vibration characteristics of the mechanical structure, so as to find structural problems, avoid or utilize structural resonance frequencies in subsequent work. With the development and improvement of finite element analysis technology, the analysis meth...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCY02T90/00
Inventor 杜环宇李鸿光刘营孟光
Owner SHANGHAI JIAO TONG UNIV
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