CN112395785A - Method, apparatus and storage medium for imparting nonlinear material to CAE model - Google Patents
Method, apparatus and storage medium for imparting nonlinear material to CAE model Download PDFInfo
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Abstract
The invention discloses a method, a device, a computer device and a storage medium for endowing a CAE model with a nonlinear material. Wherein, the method comprises the following steps: determining a CAE model to be endowed with a nonlinear material; extracting all parts in the CAE model; traversing all parts, and extracting names of the currently traversed parts; determining a nonlinear material corresponding to the currently traversed part according to preset nonlinear material information and the name of the currently traversed part; and assigning the corresponding nonlinear material to the currently traversed parts until all parts are traversed. The method determines the nonlinear material corresponding to the part by matching the part name with the nonlinear material, so as to automatically assign the nonlinear material corresponding to the part. The automation and the batch of the CAE model endowing the nonlinear materials are realized, the working efficiency can be greatly improved, and the error probability can be reduced.
Description
Technical Field
The present invention relates to the field of computer application technologies, and in particular, to a method, an apparatus, a computer device, and a computer storage medium for assigning a nonlinear material to a CAE model.
Background
With the continuous development of the CAE (Computer Aided Engineering) technology in automobile research and development, the CAE technology has become one of the key means for automobile research and development at present, and the CAE analysis can accelerate the progress of optimizing the design and driving the problem improvement, thereby reducing the research and development cost and shortening the whole development period.
After the structural design of the automobile parts is completed, the rationality of the design needs to be evaluated by a CAE means, and the strength needs to be tested, wherein the structural strength is one of more critical performances, the strength analysis usually researches the stress condition of the parts and predicts the condition and the time of failure by the stress state or the strain value, the strain index is an important index for evaluating the strength when the stress state exceeds the yield strength of the material, the linear material parameters cannot meet the requirements, and the nonlinear material needs to be endowed.
In the related art, when finite element software is used for performing CAE analysis preprocessing on automobile parts, nonlinear material information needs to be given to the corresponding parts, wherein in the process, the nonlinear material information can only be given to the corresponding parts through manual step-by-step operation, which is time-consuming, labor-consuming and prone to error.
Therefore, how to improve the efficiency of the CAE model to endow the nonlinear material has become an urgent problem to be solved.
Disclosure of Invention
The present invention has been made to solve at least one of the technical problems of the related art to some extent.
Therefore, an object of the present invention is to provide a method for assigning a nonlinear material to a CAE model, which realizes automation and batch operation of assigning a nonlinear material to a CAE model, can greatly improve work efficiency, and can reduce error probability.
A second object of the invention is to propose a device for imparting a non-linear material to a CAE model.
A third object of the invention is to propose a computer device.
A fourth object of the invention is to propose a computer-readable storage medium.
To achieve the above object, a method for imparting a nonlinear material to a CAE model according to an embodiment of the first aspect of the present invention includes: determining a CAE model to be endowed with a nonlinear material; extracting all parts in the CAE model; traversing all the parts, and extracting the names of the currently traversed parts; determining a nonlinear material corresponding to the currently traversed part according to preset nonlinear material information and the name of the currently traversed part; assigning the corresponding nonlinear material to the currently traversed part until all parts are traversed.
According to the method for endowing the CAE model with the nonlinear material, the CAE model needing to be endowed with the nonlinear material is determined, then all parts in the CAE model are extracted, all the parts are traversed, the names of the currently traversed parts are extracted, then the nonlinear material corresponding to the currently traversed parts is determined according to the preset nonlinear material information and the names of the currently traversed parts, and finally the corresponding nonlinear material is endowed to the currently traversed parts until all the parts are traversed. The method determines the nonlinear material corresponding to the part by matching the part name with the nonlinear material, so as to automatically assign the nonlinear material corresponding to the part. The automation and the batch of the CAE model endowing the nonlinear materials are realized, the working efficiency can be greatly improved, and the error probability can be reduced.
In order to achieve the above object, an embodiment of the second aspect of the present invention provides an apparatus for imparting a nonlinear material to a CAE model, including: the CAE model determining module is used for determining a CAE model to be endowed with a nonlinear material; the part extraction module is used for extracting all parts in the CAE model; and the traversal processing module is used for traversing all the parts, extracting the names of the currently traversed parts, determining the nonlinear materials corresponding to the currently traversed parts according to preset nonlinear material information and the names of the currently traversed parts, and assigning the corresponding nonlinear materials to the currently traversed parts until all the parts are traversed.
According to the device for endowing the CAE model with the nonlinear material, the CAE model needing to be endowed with the nonlinear material can be determined, then all parts in the CAE model are extracted, all the parts are traversed, the names of the currently traversed parts are extracted, then the nonlinear material corresponding to the currently traversed parts is determined according to the preset nonlinear material information and the names of the currently traversed parts, and finally the corresponding nonlinear material is endowed to the currently traversed parts until all the parts are traversed. Therefore, the nonlinear material corresponding to the part is determined by matching the part name with the nonlinear material, so that the nonlinear material corresponding to the part is automatically given to the part. The automation and the batch of the CAE model endowing the nonlinear materials are realized, the working efficiency can be greatly improved, and the error probability can be reduced.
To achieve the above object, a computer device according to a third embodiment of the present invention includes: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method for imparting a nonlinear material to a CAE model according to the first aspect of the invention when executing the computer program.
To achieve the above object, a computer-readable storage medium is provided in an embodiment of a fourth aspect of the present invention, and the computer program is executed by a processor to implement the method for imparting a nonlinear material to a CAE model according to the first aspect of the present invention.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow diagram of a method for imparting a nonlinear material to a CAE model according to one embodiment of the invention.
FIG. 2 is a flow diagram of a method for imparting a nonlinear material to a CAE model according to a specific embodiment of the invention.
Fig. 3 is a flow chart of a method for imparting nonlinear material to a CAE model based on an Abaqus module according to an embodiment of the present invention.
FIG. 4 is a flow diagram of a method for imparting a nonlinear material to a CAE model according to another embodiment of the invention.
Fig. 5 is a flow diagram of a method for imparting nonlinear material to a CAE model under an LsDyna-based module according to an embodiment of the present invention.
FIG. 6 is a schematic diagram of an apparatus for imparting a nonlinear material to a CAE model, according to one embodiment of the invention.
FIG. 7 is a schematic diagram of a computer device according to one embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A method, an apparatus, a computer device, and a computer-readable storage medium for imparting a nonlinear material to a CAE model according to embodiments of the present invention are described below with reference to the accompanying drawings.
FIG. 1 is a flow diagram of a method for imparting a nonlinear material to a CAE model according to one embodiment of the invention. It should be noted that the method for imparting a nonlinear material to a CAE model according to the embodiment of the present invention may be applied to a finite element analysis preprocessing software, for example, a finite element analysis preprocessing software HyperMesh software.
As shown in fig. 1, the method for imparting a nonlinear material to a CAE model may include:
and S110, determining a CAE model to be endowed with the nonlinear material.
For example, when it is detected that the finite element pre-analysis processing software is opened and a CAE model is imported into the finite element pre-analysis processing software, the imported CAE model may be determined as a CAE model to be given to the nonlinear material.
And S120, extracting all parts in the CAE model.
Optionally, the CAE model has an extraction module, and all parts in the CAE model can be extracted by the extraction module of the CAE model, and marked, and then displayed.
S130, traversing all parts and extracting names of the currently traversed parts.
That is, when all parts in the CAE model are extracted, all the parts may be traversed, and then the names of the currently traversed parts may be extracted.
And S140, determining the nonlinear material corresponding to the currently traversed part according to the preset nonlinear material information and the name of the currently traversed part.
That is to say, the names of the currently traversed parts are matched with the preset nonlinear material information, so that the nonlinear materials corresponding to the currently traversed parts are determined.
It should be noted that the method for assigning a nonlinear material to a CAE model may be applied to a finite element analysis preprocessing software system, where the finite element analysis preprocessing software system may be under an Abaqus module or under an LsDyna module, and because the modules in which the finite element analysis preprocessing software system is located are different, the implementation manner of determining the nonlinear material corresponding to the currently traversed part is also different according to preset nonlinear material information and the name of the currently traversed part.
As an example, when the finite element analysis preprocessing software system is under the Abaqus module, the nonlinear material information includes a material brand list and a material database; the material grade list comprises a plurality of material grades, a plurality of nonlinear material files are stored in the material database, the file name of each nonlinear material file comprises the material grade, and the content of each nonlinear material file comprises material parameters.
In the embodiment of the invention, the target material grade corresponding to the currently traversed part can be determined according to the material grade list and the name of the currently traversed part, then the target material grade is searched in the material database according to the target material grade to find out the corresponding nonlinear material file, and then the material parameters in the corresponding nonlinear material file are read to generate the nonlinear material corresponding to the currently traversed part. Specific implementation can be seen in the description of the following embodiments.
Wherein, the material grade list is a character string composed of a plurality of material grades, and each material grade is separated by a blank space, such as 'DC 01 HC340 SPCD Q345'; the material database is used for storing a plurality of nonlinear material files in one folder, wherein the files are in inp format, such as DC01.inp, HC340.inp, SPCD. inp and Q345.inp, and the file contents include but are not limited to material names, densities, elastic moduli, Poisson ratios, stress-strain data and other material parameters.
As another example, when the pre-processing finite element analysis software system is under the LsDyna module, the nonlinear material information is a nonlinear material K file; the nonlinear material K file comprises a plurality of nonlinear materials, each nonlinear material has a corresponding material name, and the material name comprises a material brand and a material thickness.
In the embodiment of the present invention, the thickness of the currently traversed part may be extracted, and then the nonlinear material corresponding to the currently traversed part is determined from the plurality of nonlinear materials according to the material names of the plurality of nonlinear materials, the name of the currently traversed part, and the thickness of the currently traversed part in the nonlinear material K file. Specific implementation can be seen in the description of the following embodiments.
And S150, assigning the corresponding nonlinear material to the currently traversed parts until all the parts are traversed.
For example, after the corresponding nonlinear material is assigned to the currently traversed part, the part which is successfully matched can be hidden, then all parts in the CAE model are matched one by one, if the current CAE model has displayed parts, the popup window prompts the user that the currently displayed part is not assigned with the nonlinear material, and if the current CAE model has no displayed parts, the popup window prompts the user that the assignment of the nonlinear material is completed.
In order to facilitate the finite element software to perform CAE analysis pre-processing on the automobile structural part, the names of all parts in the CAE model need to be named in a standardized way so as to be convenient for management. It should be noted that, in an embodiment of the present invention, before determining a CAE model to which a nonlinear material needs to be given, names of components in the CAE model are normalized and named in advance, so as to obtain corresponding names subjected to normalized naming; wherein the name named by standardization comprises a material grade and a thickness.
For example, a part information data table may be prepared in advance, wherein the part information configuration data may include a vehicle type, an ID, a version number, a material brand, and thickness information of the part. The method comprises the steps of extracting all parts in a target CAE model, obtaining the vehicle type, ID, version number, material brand and thickness information of all parts in part information configuration data, connecting the vehicle type, ID, version number, material brand and thickness information in series to form a new character string, searching the parts of the ID in the CAE model one by one, updating the part name to be the new character string if the parts are searched, hiding the parts, prompting a user that a currently displayed part is a part with an unrefreshed name if the part of the ID in the CAE model is searched, and prompting the user that the normalized naming is finished if the part of the ID is displayed at present, so as to finish the normalized naming of the names of all parts in the target CAE model.
According to the method for endowing the CAE model with the nonlinear material, the CAE model needing to be endowed with the nonlinear material is determined, then all parts in the CAE model are extracted, all the parts are traversed, the names of the currently traversed parts are extracted, then the nonlinear material corresponding to the currently traversed parts is determined according to the preset nonlinear material information and the names of the currently traversed parts, and finally the corresponding nonlinear material is endowed to the currently traversed parts until all the parts are traversed. The method determines the nonlinear material corresponding to the part by matching the part name with the nonlinear material, so as to automatically assign the nonlinear material corresponding to the part. The automation and the batch of the CAE model endowing the nonlinear materials are realized, the working efficiency can be greatly improved, and the error probability can be reduced.
Fig. 2 is a flowchart of a method for imparting a nonlinear material to a CAE model according to an embodiment of the present invention, where it is to be noted that the method is applied to a pre-finite element analysis software system, and the pre-finite element analysis software system is under an Abaqus module, as shown in fig. 2, the method for imparting a nonlinear material to a CAE model may include:
and S210, determining preset nonlinear material information.
The nonlinear material information comprises a material grade list and a material database, wherein the material grade list comprises a plurality of material grades, a plurality of nonlinear material files are stored in the material database, the file name of each nonlinear material file comprises the material grade, and the content of each nonlinear material file comprises material parameters.
S220, determining a CAE model to be endowed with the nonlinear material.
For example, when it is detected that the finite element pre-analysis processing software is opened and a CAE model is imported into the finite element pre-analysis processing software, the imported CAE model may be determined as a CAE model to be given to the nonlinear material.
And S230, extracting all parts in the CAE model.
Optionally, the CAE model has an extraction module, and all parts in the CAE model can be extracted by the extraction module of the CAE model and labeled.
S240, traversing all parts and extracting names of the currently traversed parts.
That is, when all parts in the CAE model are extracted, all the parts may be traversed, and then the names of the currently traversed parts may be extracted.
And S250, determining the target material grade corresponding to the currently traversed part according to the material grade list and the name of the currently traversed part.
As an example, the material grade list may be traversed to find a material grade included in the name of the currently traversed part from the plurality of material grades, and the found material grade may be determined as the target material grade corresponding to the currently traversed part.
The material grade list is a character string composed of a plurality of material grades, and each material grade is separated by a blank space, such as 'DC 01 HC340 SPCD Q345'.
That is, the name of the component may be matched with the material grade list to determine the target material grade corresponding to the current component.
And S260, searching in the material database according to the target material grade to find out a corresponding nonlinear material file.
The material database stores a plurality of nonlinear material files in one folder, the files are in inp format, such as dc01.inp, hc340.inp, spcd. inp, and q345.inp, wherein the file contents include but are not limited to material names, densities, elastic moduli, poisson's ratio, stress-strain data and other material parameters.
And S270, reading the material parameters in the corresponding nonlinear material file to generate the nonlinear material corresponding to the currently traversed part.
And S280, assigning the corresponding nonlinear material to the currently traversed parts until all the parts are traversed.
For example, after the corresponding nonlinear material is assigned to the currently traversed part, the part which is successfully matched can be hidden, then all parts in the CAE model are matched one by one, if the current CAE model has displayed parts, the popup window prompts the user that the currently displayed part is not assigned with the nonlinear material, and if the current CAE model has no displayed parts, the popup window prompts the user that the assignment of the nonlinear material is completed.
To facilitate understanding of the invention by those skilled in the art, the invention will be further described with reference to fig. 3. As an example, the classification method of the embodiment of the invention can be based on a Tcl/Tk language and a finite element analysis preprocessing software, and the finite element analysis preprocessing software system is under an Abaqus module. Specifically, as shown in fig. 3, the specific implementation steps of the method for imparting a nonlinear material to a CAE model based on the Abaqus module can be as follows:
1) determining a preset material grade list and a material database, wherein the material grade list comprises a plurality of material grades, and the material database comprises a plurality of nonlinear material files;
2) when the finite element analysis preprocessing software is detected to be opened and the CAE model is imported into the finite element analysis preprocessing software, the imported CAE model can be determined as the CAE model needing to be endowed with the nonlinear material;
3) displaying and marking all parts in the current CAE model, and recording the number of the parts L1;
4) measuring the number of the material marks in the material mark list, and recording the number L2;
5) measuring the number of nonlinear material files in the material database, and recording the number L3;
6) when the cyclic variable i is 1, extracting the name of the first part in the current CAE model;
7) when the cyclic variable j is 1, extracting a first material brand in the material brand list, comparing the first material brand with the name of the first part, if the part name does not contain the material brand, turning to the next step, otherwise, turning to the step 10;
8) when the cyclic variable j is 2, extracting a second material brand in the material brand list, comparing the second material brand with the name of the first part, if the part name does not contain the material brand, turning to the next step, otherwise, turning to the step 10;
9) and so on, when the cyclic variable j is L2, extracting the last material name in the material brand list, comparing the last material name with the name of the first part, if the part name does not contain the material brand, turning to the 14 th step, otherwise, turning to the 10 th step;
10) when the cyclic variable k is 1, extracting the file name of the first nonlinear material file in the material database, comparing the file name with the successfully matched material name, if the file name does not contain the material brand, turning to the next step, otherwise, turning to the step 13;
11) when the cyclic variable k is 2, extracting the file name of a second nonlinear material file in the material database, comparing the file name with the successfully matched material brand, if the file name does not contain the material brand, turning to the next step, otherwise, turning to the step 13;
12) and by analogy, when the cyclic variable k is L3, extracting the file name of the last nonlinear material file in the material database, comparing the file name with the successfully matched material brand, if the file name does not contain the material brand, turning to the 14 th step, otherwise, turning to the 13 th step;
13) reading the successfully matched nonlinear material file, generating a corresponding nonlinear material, assigning the nonlinear material to the first part and hiding the part;
14) when the cyclic variable i is 2, extracting the name of a second part in the current model;
15) when the cyclic variable j is 1, extracting a first material brand in the material brand list, comparing the first material brand with the name of the second part, if the part name does not contain the material brand, turning to the next step, otherwise, turning to the step 18;
16) when the cyclic variable j is 2, extracting a second material brand in the material brand list, comparing the second material brand with the name of the first part, if the part name does not contain the material brand, turning to the next step, otherwise, turning to the step 18;
17) and so on, when the cyclic variable j is L2, extracting the last material brand in the material brand list, comparing the last material brand with the name of the second part, if the part name does not contain the material brand, turning to the step 22, otherwise, turning to the step 18;
18) when the cyclic variable k is 1, extracting the file name of the first nonlinear material file in the material database, comparing the file name with the successfully matched material brand, if the file name does not contain the material brand, turning to the next step, otherwise, turning to the step 21;
19) when the cyclic variable k is 2, extracting the file name of a second nonlinear material file in the material database, comparing the file name with the successfully matched material brand, if the file name does not contain the material brand, turning to the next step, otherwise, turning to the step 21;
20) and by analogy, when the cyclic variable k is L3, extracting the material brand of the last nonlinear material file in the material database, comparing the material brand with the successfully matched material brand, if the file name does not contain the material brand, turning to the 22 nd step, otherwise, turning to the 21 st step;
21) reading the successfully matched nonlinear material file, generating a corresponding nonlinear material, assigning the nonlinear material to the second part and hiding the part;
22) when the loop variable i is equal to L1, extracting the name of the last part in the current model;
23) when the cyclic variable j is 1, extracting the first material brand in the material brand list, comparing the first material brand with the name of the last part, if the part name does not contain the material brand, turning to the next step, otherwise, turning to the step 26;
24) when the cyclic variable j is 2, extracting a second material brand in the material brand list, comparing the second material brand with the name of the first part, if the part name does not contain the material brand, turning to the next step, otherwise, turning to the step 26;
25) and so on, when the cyclic variable j is L2, extracting the last material brand in the material brand list, comparing the last material brand with the name of the last part, if the part name does not contain the material brand, turning to the step 30, otherwise, turning to the step 26;
26) when the cyclic variable k is 1, extracting the file name of the first nonlinear material file in the material database, comparing the file name with the successfully matched material brand, if the file name does not contain the material brand, turning to the next step, otherwise, turning to the step 29;
27) when the cyclic variable k is 2, extracting the file name of a second nonlinear material file in the material database, comparing the file name with the successfully matched material brand, if the file name does not contain the material brand, turning to the next step, otherwise, turning to the step 29;
28) and by analogy, when the cyclic variable k is L3, extracting the file name of the last nonlinear material file in the material database, comparing the file name with the successfully matched material brand, if the file name does not contain the material brand, turning to the step 30, and otherwise, turning to the step 29;
29) reading the successfully matched nonlinear material file, generating a corresponding nonlinear material, assigning the nonlinear material to the last part and hiding the part;
30) if the current model has displayed parts, the popup prompts the user that the currently displayed parts are not endowed with nonlinear materials; if no part is displayed in the current model, the popup prompts the user that the non-linear material assignment is completed.
According to the method for endowing the CAE model with the nonlinear material, which is provided by the embodiment of the invention, nonlinear material information can be provided firstly, wherein the nonlinear material information comprises a material grade list and a material database, then the CAE model needing endowing the nonlinear material is determined, then all parts in the CAE model are extracted, all the parts are traversed, the names of the currently traversed parts are extracted, then the target material grade corresponding to the currently traversed parts is determined according to the material grade list and the names of the currently traversed parts, then the corresponding nonlinear material files are searched in the material database according to the target material grade, the corresponding nonlinear material files are found, the material parameters in the corresponding nonlinear material files are read, so as to generate the nonlinear material corresponding to the currently traversed parts, and finally the corresponding nonlinear material is endowed to the currently traversed parts, until all parts have been traversed. The method realizes the batch and automation of the nonlinear material endowing of the finite element analysis preprocessing software under the Abaqus module, greatly improves the working efficiency, for example, endows the nonlinear material to each part of a white automobile body from 4 hours to 4 minutes, reduces the error probability and realizes accurate search and matching.
Fig. 4 is a flowchart of a method for imparting a nonlinear material to a CAE model according to another embodiment of the present invention, and it should be noted that the method is applied to a pre-finite element analysis software system, and the pre-finite element analysis software system is under an LsDyna module, as shown in fig. 4, the method for imparting a nonlinear material to a CAE model may include:
and S410, determining preset nonlinear material information.
The nonlinear material information is a nonlinear material K file; wherein the nonlinear material K file comprises a plurality of nonlinear materials, each nonlinear material having a corresponding material name, the material name comprising a material designation and a material thickness.
And S420, determining a CAE model to be endowed with the nonlinear material.
For example, when it is detected that the finite element pre-analysis processing software is opened and a CAE model is imported into the finite element pre-analysis processing software, the imported CAE model may be determined as a CAE model to be given to the nonlinear material.
And S430, extracting all parts in the CAE model.
Optionally, the CAE model has an extraction module, and all parts in the CAE model can be extracted by the extraction module of the CAE model and labeled.
S440, traversing all parts, and extracting names of the currently traversed parts.
That is, when all parts in the CAE model are extracted, all the parts may be traversed, and then the names of the currently traversed parts may be extracted.
S450, extracting the thickness of the part traversed currently.
And S460, determining the nonlinear material corresponding to the currently traversed part from the plurality of nonlinear materials according to the material names of the plurality of nonlinear materials, the names of the currently traversed parts and the thicknesses of the currently traversed parts in the nonlinear material K file.
That is, the name of the part and the thickness of the part currently traversed may be matched to the material name of the nonlinear material, so as to determine the nonlinear material corresponding to the part currently traversed from the plurality of nonlinear materials
In the embodiment of the present invention, a material name whose material brand is included in the names of the currently traversed parts and whose material thickness is the same as the thickness of the currently traversed parts may be found from the plurality of material names, and then the nonlinear material corresponding to the found material name is determined as the nonlinear material corresponding to the currently traversed parts.
In another embodiment of the present invention, a material name with a material brand included in the names of the currently traversed parts and having a minimum absolute value of a difference between the material thickness and the thickness of the currently traversed parts may be found from the plurality of material names, and then the nonlinear material corresponding to the found material name may be determined as the nonlinear material corresponding to the currently traversed parts.
And S470, assigning the corresponding nonlinear material to the currently traversed parts until all parts are traversed.
That is to say, the successfully matched nonlinear material is assigned to the currently traversed parts, then the successfully matched parts are hidden, all the parts in the CAE model are matched one by one, if the current CAE model has still displayed parts, the popup window prompts the user that the currently displayed parts are not assigned with the nonlinear material, and if the current model has no displayed parts, the popup window prompts the user that the assignment of the nonlinear material is completed.
To facilitate understanding of the invention by those skilled in the art, the invention will be further described with reference to fig. 5. As an example, the classification method of the embodiment of the invention can be based on a Tcl/Tk language and a finite element analysis preprocessing software system, and the finite element analysis preprocessing software system is under an LsDyna module. Specifically, as shown in fig. 5, the specific implementation steps of the method for imparting a nonlinear material to a CAE model based on the LsDyna module can be as follows:
1) determining a preset nonlinear material K file, wherein the nonlinear material K file comprises a plurality of nonlinear materials, each nonlinear material has a corresponding material name, and the material name comprises a material brand and a material thickness;
2) when the finite element analysis preprocessing software is detected to be opened and the CAE model is imported into the finite element analysis preprocessing software, the imported CAE model can be determined as the CAE model needing to be endowed with the nonlinear material;
3) displaying and marking all parts in the current model, and recording the number of the parts L1;
4) measuring the number of the nonlinear materials generated after the k file is imported, and recording the number L2;
5) when the cyclic variable i is 1, extracting the name and the thickness of the first part in the current model;
6) when the cyclic variable j is 1, extracting the material grade and thickness information contained in the material name of the first nonlinear material, if the name of the first part contains the material grade of the first nonlinear material, calculating the difference between the thickness of the first part and the thickness of the first nonlinear material, recording the difference as d1, and turning to the next step, otherwise, turning to the step 10;
7) when the cyclic variable j is 2, extracting the material grade and thickness information contained in the material name of the second nonlinear material, if the name of the first part contains the material grade of the second nonlinear material, calculating the difference value between the thickness of the first part and the thickness of the second nonlinear material, recording the difference value as d2, and turning to the next step, otherwise, turning to the step 10;
8) by analogy, when the cyclic variable j is L2, extracting the material grade and thickness information contained in the material name of the last nonlinear material, if the name of the first part contains the material grade of the last nonlinear material, calculating the difference between the thickness of the first part and the thickness of the last nonlinear material, recording the difference as d L2, and turning to the next step, otherwise, turning to the step 10;
9) searching the minimum absolute value of the d1 and d2 … … d L2 and the corresponding nonlinear material, assigning the nonlinear material to the first part and hiding the part;
10) when the cyclic variable i is 2, extracting the name and the thickness of a second part in the current model;
11) when the cyclic variable j is 1, extracting the material grade and thickness information contained in the material name of the first nonlinear material, if the name of the second part contains the material grade of the first nonlinear material, calculating the difference between the thickness of the second part and the thickness of the first nonlinear material, recording the difference as d1, and turning to the next step, otherwise, turning to the step 15;
12) when the cyclic variable j is 2, extracting the material grade and thickness information contained in the material name of the second nonlinear material, if the name of the second part contains the material grade of the second nonlinear material, calculating the difference between the thickness of the second part and the thickness of the second nonlinear material, recording the difference as d2, and turning to the next step, otherwise, turning to the step 15;
13) by analogy, when the cyclic variable j is L2, extracting the material brand and thickness information contained in the material name of the last nonlinear material, if the name of the second part contains the material brand of the last nonlinear material, calculating the difference between the thickness of the second part and the thickness of the last nonlinear material, recording the difference as d L2, and turning to the next step, otherwise, turning to the step 15;
14) searching the minimum absolute value of the d1 and d2 … … d L2 and the corresponding nonlinear material, assigning the nonlinear material to the second part and hiding the part;
15) and by analogy, when the cyclic variable i is L1, extracting the name and the thickness of the last part in the current model;
16) when the cyclic variable j is 1, extracting the material grade and thickness information contained in the material name of the first nonlinear material, if the name of the last part contains the material grade of the first nonlinear material, calculating the difference between the thickness of the last part and the thickness of the first nonlinear material, recording the difference as d1, and turning to the next step, otherwise, turning to the step 20;
17) when the cyclic variable j is 2, extracting the material grade and thickness information contained in the material name of the second nonlinear material, if the name of the last part contains the material grade of the second nonlinear material, calculating the difference value between the thickness of the last part and the thickness of the second nonlinear material, recording the difference value as d2, and turning to the next step, otherwise, turning to the step 20;
18) by analogy, when the cyclic variable j is L2, extracting the material grade and thickness information contained in the material name of the last nonlinear material, if the name of the last part contains the material grade of the last nonlinear material, calculating the difference between the thickness of the last part and the thickness of the last nonlinear material, recording the difference as d L2, and turning to the next step, otherwise, turning to the step 20;
19) searching the minimum absolute value of the d1 and d2 … … d L2 and the corresponding nonlinear material, assigning the nonlinear material to the last part and hiding the part;
20) if the current model has displayed parts, the popup prompts the user that the currently displayed parts are not endowed with nonlinear materials; if no part is displayed in the current model, the popup prompts the user that the non-linear material assignment is completed.
According to the method for endowing the CAE model with the nonlinear material, nonlinear material information can be provided, wherein the nonlinear material information is a nonlinear material K file, then the CAE model needing endowing the nonlinear material is determined, then all parts in the CAE model are extracted, all the parts are traversed, the names of the currently traversed parts are extracted, the thicknesses of the currently traversed parts are extracted, then the nonlinear material corresponding to the currently traversed part is determined from the nonlinear materials according to the material names of the nonlinear materials in the nonlinear material K file, the names of the currently traversed parts and the thicknesses of the currently traversed parts, and finally the corresponding nonlinear material is endowed to the currently traversed part until all the parts are traversed. The method realizes the batch and automation of the finite element analysis pretreatment software given by the nonlinear material under the LsDyna module, greatly improves the working efficiency and reduces the error probability.
Corresponding to the methods for imparting a nonlinear material to a CAE model provided in the above embodiments, an embodiment of the present invention further provides an apparatus for imparting a nonlinear material to a CAE model, and since the apparatus for imparting a nonlinear material to a CAE model provided in the embodiments of the present invention corresponds to the methods for imparting a nonlinear material to a CAE model provided in the above embodiments, the embodiments of the method for imparting a nonlinear material to a CAE model provided in the embodiments of the present invention are also applicable to the apparatus for imparting a nonlinear material to a CAE model provided in the embodiments, and will not be described in detail in the embodiments. FIG. 6 is a schematic diagram of an apparatus for imparting a nonlinear material to a CAE model, according to one embodiment of the invention.
As shown in fig. 6, the apparatus 600 for imparting a nonlinear material to a CAE model includes: a CAE model determining module 610, a part extracting module 620 and a traversal processing module 630, wherein:
the CAE model determining module 610 is used for determining a CAE model to be endowed with a nonlinear material;
the part extracting module 620 is configured to extract all parts in the CAE model;
the traversal processing module 630 is configured to traverse all the parts, extract names of currently traversed parts, determine a nonlinear material corresponding to the currently traversed part according to preset nonlinear material information and the names of the currently traversed parts, and assign the corresponding nonlinear material to the currently traversed part until all the parts are traversed. As an example, when the apparatus is applied to a pre-finite element analysis processing software system and the pre-finite element analysis processing software system is under an Abaqus module, the nonlinear material information includes a material designation list and a material database; the material grade list comprises a plurality of material grades, a plurality of nonlinear material files are stored in the material database, the file name of each nonlinear material file comprises the material grade, and the content of each nonlinear material file comprises material parameters.
The traversal processing module 630 is specifically configured to: determining a target material grade corresponding to the currently traversed part according to the material grade list and the name of the currently traversed part; searching in the material database according to the target material grade to find out a corresponding nonlinear material file; and reading the material parameters in the corresponding nonlinear material file to generate the nonlinear material corresponding to the currently traversed part.
In an embodiment of the present invention, the traversal processing module 630 is specifically configured to: traversing the material grade list to find out the material grade contained in the name of the currently traversed part from the plurality of material grades; and determining the found material grade as the target material grade corresponding to the currently traversed part.
As an example, when the apparatus is applied to a pre-finite element analysis processing software system and the pre-finite element analysis processing software system is under an LsDyna module, the nonlinear material information is a nonlinear material K file; wherein the nonlinear material K file comprises a plurality of nonlinear materials, each nonlinear material having a corresponding material name, the material name comprising a material designation and a material thickness.
In an embodiment of the present invention, the traversal processing module 630 is specifically configured to: extracting the thickness of the currently traversed part; and determining the nonlinear material corresponding to the currently traversed part from the plurality of nonlinear materials according to the material names of the plurality of nonlinear materials, the name of the currently traversed part and the thickness of the currently traversed part in the nonlinear material K file.
In an embodiment of the present invention, the traversal processing module 630 is specifically configured to: finding out a material name of which the material brand is contained in the name of the currently traversed part and the material thickness is the same as the thickness of the currently traversed part from a plurality of material names; and determining the nonlinear material corresponding to the found material name as the nonlinear material corresponding to the currently traversed part.
In an embodiment of the present invention, the traversal processing module 630 is specifically configured to: finding out a material name with a material brand contained in the names of the currently traversed parts and with a smallest absolute value of a difference between the material thickness and the thickness of the currently traversed parts from a plurality of material names; and determining the nonlinear material corresponding to the found material name as the nonlinear material corresponding to the currently traversed part.
According to the device for endowing the CAE model with the nonlinear material, the CAE model needing to be endowed with the nonlinear material can be determined, then all parts in the CAE model are extracted, all the parts are traversed, the names of the currently traversed parts are extracted, then the nonlinear material corresponding to the currently traversed parts is determined according to the preset nonlinear material information and the names of the currently traversed parts, and finally the corresponding nonlinear material is endowed to the currently traversed parts until all the parts are traversed. Therefore, the nonlinear material corresponding to the part is determined by matching the part name with the nonlinear material, so that the nonlinear material corresponding to the part is automatically given to the part. The automation and the batch of the CAE model endowing the nonlinear materials are realized, the working efficiency can be greatly improved, and the error probability can be reduced.
In order to implement the above embodiments, the present invention further provides a computer device.
FIG. 7 is a schematic diagram of a computer device according to one embodiment of the invention. As shown in fig. 7, the computer device 700 may include: memory 710, processor 720 and computer program 730 stored on memory 510 and executable on processor 720, the processor 720 when executing the program implementing any of the above-described methods for imparting nonlinear material to a CAE model of the present invention.
In order to implement the above embodiments, the present invention also proposes a computer program which, when being executed by a processor, implements any of the above methods for imparting a nonlinear material to a CAE model.
In the description of the present invention, it is to be understood that the meaning of "a plurality" is at least two, such as two, three, etc., unless explicitly specified otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (18)
1. A method for imparting a nonlinear material to a CAE model, comprising:
determining a CAE model to be endowed with a nonlinear material;
extracting all parts in the CAE model;
traversing all the parts, and extracting the names of the currently traversed parts;
determining a nonlinear material corresponding to the currently traversed part according to preset nonlinear material information and the name of the currently traversed part;
assigning the corresponding nonlinear material to the currently traversed part until all parts are traversed.
2. The method of claim 1, wherein when the method is applied to a pre-finite element analysis processing software system and the pre-finite element analysis processing software system is under an Abaqus module, the nonlinear material information comprises a material brand list and a material database; the material grade list comprises a plurality of material grades, a plurality of nonlinear material files are stored in the material database, the file name of each nonlinear material file comprises the material grade, and the content of each nonlinear material file comprises material parameters.
3. The method according to claim 2, wherein the determining the nonlinear material corresponding to the currently traversed part according to preset nonlinear material information and the name of the currently traversed part comprises:
determining a target material grade corresponding to the currently traversed part according to the material grade list and the name of the currently traversed part;
searching in the material database according to the target material grade to find out a corresponding nonlinear material file;
and reading the material parameters in the corresponding nonlinear material file to generate the nonlinear material corresponding to the currently traversed part.
4. The method of claim 3, wherein determining the target material grade corresponding to the currently traversed part according to the material grade list and the name of the currently traversed part comprises:
traversing the material grade list to find out the material grade contained in the name of the currently traversed part from the plurality of material grades;
and determining the found material grade as the target material grade corresponding to the currently traversed part.
5. The method of claim 1, wherein when the method is applied to a pre-finite element analysis software system and the pre-finite element analysis software system is under an LsDyna module, the nonlinear material information is a nonlinear material K file; wherein the nonlinear material K file comprises a plurality of nonlinear materials, each nonlinear material having a corresponding material name, the material name comprising a material designation and a material thickness.
6. The method according to claim 5, wherein the determining the nonlinear material corresponding to the currently traversed part according to preset nonlinear material information and the name of the currently traversed part comprises:
extracting the thickness of the currently traversed part;
and determining the nonlinear material corresponding to the currently traversed part from the plurality of nonlinear materials according to the material names of the plurality of nonlinear materials, the name of the currently traversed part and the thickness of the currently traversed part in the nonlinear material K file.
7. The method according to claim 6, wherein the determining the nonlinear material corresponding to the currently traversed part from the plurality of nonlinear materials according to the material names of the plurality of nonlinear materials, the name of the currently traversed part, and the thickness of the currently traversed part in the nonlinear material K file comprises:
finding out a material name of which the material brand is contained in the name of the currently traversed part and the material thickness is the same as the thickness of the currently traversed part from a plurality of material names;
and determining the nonlinear material corresponding to the found material name as the nonlinear material corresponding to the currently traversed part.
8. The method according to claim 6, wherein the determining the nonlinear material corresponding to the currently traversed part from the plurality of nonlinear materials according to the material names of the plurality of nonlinear materials, the name of the currently traversed part, and the thickness of the currently traversed part in the nonlinear material K file comprises:
finding out a material name with a material brand contained in the names of the currently traversed parts and with a smallest absolute value of a difference between the material thickness and the thickness of the currently traversed parts from a plurality of material names;
and determining the nonlinear material corresponding to the found material name as the nonlinear material corresponding to the currently traversed part.
9. An apparatus for imparting nonlinear material to a CAE model, comprising:
the CAE model determining module is used for determining a CAE model to be endowed with a nonlinear material;
the part extraction module is used for extracting all parts in the CAE model;
and the traversal processing module is used for traversing all the parts, extracting the names of the currently traversed parts, determining the nonlinear materials corresponding to the currently traversed parts according to preset nonlinear material information and the names of the currently traversed parts, and assigning the corresponding nonlinear materials to the currently traversed parts until all the parts are traversed.
10. The apparatus of claim 9, wherein the nonlinear material information comprises a material brand list and a material database when the apparatus is applied to a pre-finite element analysis software system under an Abaqus module; the material grade list comprises a plurality of material grades, a plurality of nonlinear material files are stored in the material database, the file name of each nonlinear material file comprises the material grade, and the content of each nonlinear material file comprises material parameters.
11. The apparatus of claim 10, wherein the traversal processing module is specifically configured to:
determining a target material grade corresponding to the currently traversed part according to the material grade list and the name of the currently traversed part;
searching in the material database according to the target material grade to find out a corresponding nonlinear material file;
and reading the material parameters in the corresponding nonlinear material file to generate the nonlinear material corresponding to the currently traversed part.
12. The apparatus of claim 11, wherein the traversal processing module is specifically configured to:
traversing the material grade list to find out the material grade contained in the name of the currently traversed part from the plurality of material grades;
and determining the found material grade as the target material grade corresponding to the currently traversed part.
13. The apparatus of claim 9, wherein the nonlinear material information is a nonlinear material K file when the apparatus is applied to a pre-finite element analysis software system and the pre-finite element analysis software system is under an LsDyna module; wherein the nonlinear material K file comprises a plurality of nonlinear materials, each nonlinear material having a corresponding material name, the material name comprising a material designation and a material thickness.
14. The apparatus of claim 13, wherein the traversal processing module is specifically configured to:
extracting the thickness of the currently traversed part;
and determining the nonlinear material corresponding to the currently traversed part from the plurality of nonlinear materials according to the material names of the plurality of nonlinear materials, the name of the currently traversed part and the thickness of the currently traversed part in the nonlinear material K file.
15. The apparatus of claim 14, wherein the traversal processing module is specifically configured to:
finding out a material name of which the material brand is contained in the name of the currently traversed part and the material thickness is the same as the thickness of the currently traversed part from a plurality of material names;
and determining the nonlinear material corresponding to the found material name as the nonlinear material corresponding to the currently traversed part.
16. The apparatus of claim 14, wherein the traversal processing module is specifically configured to:
finding out a material name with a material brand contained in the names of the currently traversed parts and with a smallest absolute value of a difference between the material thickness and the thickness of the currently traversed parts from a plurality of material names;
and determining the nonlinear material corresponding to the found material name as the nonlinear material corresponding to the currently traversed part.
17. A computer device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the processor implementing a method for imparting a nonlinear material to a CAE model as claimed in any one of claims 1 to 8 when executing the computer program.
18. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method for imparting nonlinear material to a CAE model according to any one of claims 1 to 8.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101986314A (en) * | 2010-11-10 | 2011-03-16 | 长春轨道客车股份有限公司 | Computer aid engineering based technical model property automatic applying method |
| US20120283861A1 (en) * | 2011-05-02 | 2012-11-08 | Autoform Engineering Gmbh | Method and computer system for characterizing a sheet metal part |
| CN106682336A (en) * | 2017-01-03 | 2017-05-17 | 上海波客实业有限公司 | Modeling method for structural finite element model |
| CN108614923A (en) * | 2018-04-09 | 2018-10-02 | 重庆塞尔特科技有限公司 | A method of controlling finite element modeling and analysis with table |
| CN109255206A (en) * | 2018-11-23 | 2019-01-22 | 珠海格力电器股份有限公司 | A kind of emulation contact setting method, device, storage medium and terminal |
-
2019
- 2019-07-31 CN CN201910704554.2A patent/CN112395785A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101986314A (en) * | 2010-11-10 | 2011-03-16 | 长春轨道客车股份有限公司 | Computer aid engineering based technical model property automatic applying method |
| US20120283861A1 (en) * | 2011-05-02 | 2012-11-08 | Autoform Engineering Gmbh | Method and computer system for characterizing a sheet metal part |
| CN106682336A (en) * | 2017-01-03 | 2017-05-17 | 上海波客实业有限公司 | Modeling method for structural finite element model |
| CN108614923A (en) * | 2018-04-09 | 2018-10-02 | 重庆塞尔特科技有限公司 | A method of controlling finite element modeling and analysis with table |
| CN109255206A (en) * | 2018-11-23 | 2019-01-22 | 珠海格力电器股份有限公司 | A kind of emulation contact setting method, device, storage medium and terminal |
Non-Patent Citations (1)
| Title |
|---|
| 周程等: "基于HyperMesh的零件重命名与信息赋予工具开发", 《软件导刊》, vol. 16, no. 7, 31 December 2017 (2017-12-31), pages 70 - 73 * |
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