CN-122021142-A - Lattice structure mechanical property analysis method, device, equipment and storage medium

CN122021142ACN 122021142 ACN122021142 ACN 122021142ACN-122021142-A

Abstract

Determining an initial geometric model, dividing grids of the initial geometric model, and filling each grid obtained by dividing with the shape of a lattice cell to obtain a lattice filling structure; determining each target prediction unit in the lattice filling structure, extracting the geometric information of each target prediction unit to obtain target geometric information, wherein the single target prediction unit is not larger than the single grid, respectively predicting the elastic modulus of each target prediction unit based on each target geometric information by utilizing a prediction agent model obtained through training to obtain target elastic modulus, and predicting the integral mechanical property of the lattice filling structure based on each target elastic modulus to obtain mechanical property data. Therefore, the method can be suitable for mechanical property analysis of the non-periodic lattice structure, and can effectively improve the mechanical property analysis precision.

Inventors

DUAN CHENGYU
YE BIN
WANG PANDING
ZHAO ZEANG
LEI HONGSHUAI

Assignees

北京理工大学

Dates

Publication Date: 20260512
Application Date: 20260119

Claims (10)

1. The lattice structure mechanical property analysis method is characterized by comprising the following steps: Determining an initial geometric model, carrying out grid division on the initial geometric model, and carrying out lattice cell shape-following filling on each grid obtained by division to obtain a lattice filling structure; Determining each target prediction unit in the lattice filling structure, and respectively extracting geometric information of each target prediction unit to obtain target geometric information, wherein the single target prediction unit is not larger than the single grid; Respectively predicting the elastic modulus of each target prediction unit based on each target geometric information by using the prediction agent model obtained through training to obtain a target elastic modulus; And predicting the integral mechanical property of the lattice filling structure based on each target elastic modulus to obtain mechanical property data.
2. The lattice structure mechanical property analysis method according to claim 1, wherein the elastic modulus is generalized homogenized elastic modulus, and the prediction agent model predicts the elastic modulus corresponding to the geometric information based on the following formula: Wherein, the The elastic modulus predicted by the prediction agent model by adopting a generalized homogenization method is represented, Representing the actual elastic modulus of the target prediction unit containing the lattice filling structure distribution information, J representing the geometric information on which the prediction proxy model predicts the corresponding elastic modulus, Representing a preset equivalent tensor of the data, Representing the disturbance characteristic displacement tensor, Representing the volume of the target prediction unit after the geometric transformation, Representing the satellite coordinates of the target prediction unit after geometric transformation, Representing the space of the target prediction unit before geometric transformation, and extracting the geometric information is the geometric transformation process.
3. The method of claim 2, wherein training to obtain the predictive proxy model comprises: Determining a geometric transformation range, wherein the geometric transformation range is a range of geometric information on which the prediction agent model can realize a prediction function; And obtaining a plurality of groups of geometric information conforming to the geometric transformation range and corresponding elastic modulus as training samples, and training based on the training samples to obtain the prediction agent model.
4. A method of analyzing mechanical properties of a lattice structure according to claim 3, wherein determining the range of geometric transformations comprises: And determining the maximum range of each target geometric information as the geometric transformation range.
5. The method of claim 4, wherein determining each target prediction unit in the lattice filling structure comprises: and determining each integration point region contained in the lattice filling structure based on each grid obtained by division, and determining each integration point region as a target prediction unit, wherein a single integration point region contains a single integration point and a neighborhood of the single integration point.
6. The method for analyzing mechanical properties of lattice structures according to claim 5, wherein extracting geometric information of each target prediction unit to obtain target geometric information comprises: and extracting the jacobian matrix of each target prediction unit based on the iso-parametric transformation to obtain the target geometric information.
7. The method for analyzing mechanical properties of a lattice structure according to any one of claims 1 to 6, wherein predicting mechanical properties of the lattice filling structure as a whole based on each target elastic modulus to obtain mechanical property data comprises: Predicting macroscopic true displacement of each target prediction unit based on each target elastic modulus based on the following formula: Wherein, the The elastic modulus obtained by the prediction agent model through prediction by adopting a generalized homogenization method is represented, and K represents the area of the lattice filling structure Is used for the target prediction unit of (1), For the index of the target prediction unit, The total number of target prediction units, Is the first The calculated weights of the gaussian integrals of the individual target prediction units, Is the first The coordinates of the individual target prediction units, In order to be a strain tensor, Respectively, the first of the preset local period assumptions is satisfied Macroscopic true displacement and macroscopic false displacement of the individual target prediction units; And determining the integral mechanical property of the lattice filling structure based on the macroscopic real displacement of each target prediction unit to obtain mechanical property data.
8. A lattice structure mechanical property analysis device, characterized by comprising: the filling module is used for determining an initial geometric model, dividing grids of the initial geometric model, and filling lattice cells along with the shapes of the grids obtained by dividing to obtain a lattice filling structure; the extraction module is used for determining each target prediction unit in the lattice filling structure and respectively extracting the geometric information of each target prediction unit to obtain target geometric information, wherein the single target prediction unit is not larger than the single grid; The first prediction module is used for predicting the elastic modulus of each target prediction unit based on each target geometric information by using the prediction agent model obtained through training to obtain a target elastic modulus; And the second prediction module is used for predicting the mechanical property of the whole lattice filling structure based on each target elastic modulus to obtain mechanical property data.
9. A computer device, comprising: A memory and a processor, the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, thereby executing the lattice structure mechanical property analysis method according to any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the lattice structure mechanical property analysis method according to any one of claims 1 to 7.

Description

Lattice structure mechanical property analysis method, device, equipment and storage medium Technical Field The present invention relates to the technical field of structural mechanical property analysis, and in particular, to a method, an apparatus, a device, and a storage medium for analyzing mechanical properties of a lattice structure. Background With the continuous iterative development of high-end equipment in the fields of aerospace navigation and the like, complex-shape components represented by aero-engine blades, fan blades and the like are widely applied, and structural performance and functional requirements of ultra-light weight, high bearing capacity and the like are frequently met, so that the lattice structure is applied to filling engineering structures with complex geometric shapes due to the excellent characteristics of light weight, high specific strength and the like. In order to better guide the mechanical analysis and the optimization design of the complex engineering structure in practical application, the mechanical property of the lattice structure is usually required to be predicted, but the mechanical property analysis is a leading edge and is difficult to solve for the aperiodic lattice structure which is essentially represented by the lattice filling piece with the complex geometric shape. The current mechanical property prediction scheme is usually realized based on the assumption of a single connected domain, but complex engineering structures such as turbine blade cooling holes, building truss hollowed-out structures and the like are basically multi-connected domains (including holes or nested areas), and the existing mechanical property prediction scheme cannot be applied. Therefore, the prior art has the problem that the mechanical properties of the aperiodic lattice structure are difficult to effectively analyze. Disclosure of Invention The invention aims to provide a method, a device, equipment and a storage medium for analyzing mechanical properties of a lattice structure, which can simultaneously improve the accuracy and the applicability of the mechanical property analysis of the lattice structure. In order to achieve the above object, the present invention provides the following technical solutions: A lattice structure mechanical property analysis method comprises the following steps: Determining an initial geometric model, carrying out grid division on the initial geometric model, and carrying out lattice cell shape-following filling on each grid obtained by division to obtain a lattice filling structure; Determining each target prediction unit in the lattice filling structure, and respectively extracting geometric information of each target prediction unit to obtain target geometric information, wherein the single target prediction unit is not larger than the single grid; Respectively predicting the elastic modulus of each target prediction unit based on each target geometric information by using the prediction agent model obtained through training to obtain a target elastic modulus; And predicting the integral mechanical property of the lattice filling structure based on each target elastic modulus to obtain mechanical property data. Preferably, the elastic modulus is generalized homogenized elastic modulus, and the prediction agent model is used for realizing the prediction of the elastic modulus corresponding to the geometric information based on the following formula: Wherein, the The elastic modulus predicted by the prediction agent model by adopting a generalized homogenization method is represented,Representing the actual elastic modulus of the target prediction unit containing the lattice filling structure distribution information, J representing the geometric information on which the prediction proxy model predicts the corresponding elastic modulus,Representing a preset equivalent tensor of the data,Representing the disturbance characteristic displacement tensor,Representing the volume of the target prediction unit after the geometric transformation,Representing the satellite coordinates of the target prediction unit after geometric transformation,Representing the space of the target prediction unit before geometric transformation, and extracting the geometric information is the geometric transformation process. Preferably, training to obtain the predictive proxy model includes: Determining a geometric transformation range, wherein the geometric transformation range is a range of geometric information on which the prediction agent model can realize a prediction function; And obtaining a plurality of groups of geometric information conforming to the geometric transformation range and corresponding elastic modulus as training samples, and training based on the training samples to obtain the prediction agent model. Preferably, determining the geometric transformation range includes: And determining the maximum range of each target geometric information as th