CN113553734A - VAONE-based modeling method, system, device and medium - Google Patents
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Abstract
The invention discloses a modeling method, a modeling system, modeling equipment and a modeling medium based on VAONE, wherein the method comprises the following steps: determining first acoustic cavity structure division data of the whole digital-analog according to vibration and noise information; segmenting the whole digital-to-analog according to the first acoustic cavity structure division data and the component boundary data; exporting a first finite element model of an object to be modeled, which comprises first grid nodes, into a first file; importing the first file into the VAONE, and establishing a plurality of board subsystems according to the selected first grid node; after the first connection state is determined to be correct, establishing a plurality of acoustic cavity subsystems according to the first acoustic cavity structure division data; and after the second connection state and the third connection state are confirmed to be correct, the establishment of the SEA model is confirmed to be completed. The invention can ensure that the board subsystem and the sound cavity subsystem have better matching relationship, improve the accuracy of the whole SEA model, reduce modeling errors and improve modeling efficiency.
Description
Technical Field
The invention relates to the field of vehicle modeling, in particular to a modeling method, a modeling system, modeling equipment and a modeling medium based on VAONE.
Background
At present, VAONE is a software platform for performing part Statistical Energy Analysis (SEA) of a whole vehicle. Due to the complexity of the whole vehicle digital-analog, in the prior art, when a whole vehicle SEA model is established by using a VAONE, a finite element model with divided grids is generally led into the VAONE, and then sub-system division is performed, and the scheme mainly has the following defects: firstly, the number of nodes of a finite element model introduced into the VAONE by the whole digital analogy is large, so that the difficulty of manually selecting the nodes or directly creating the nodes is high, the modeling efficiency is reduced, and meanwhile, the accuracy is difficult to ensure; secondly, because the attributes (such as material attributes, thickness and the like) of finite element model components cannot be distinguished in the VAONE, and an important principle for establishing the whole vehicle SEA model division subsystem is that the components with the same attributes can be divided into a subsystem, therefore, the subsystem division is carried out after the finite element model with the divided grids is led into the VAONE, the accuracy of the subsystem division cannot be ensured, the reliability of connection matching between the subsystems cannot be ensured, the workload is huge, and the modeling efficiency is low; in addition, when the entire vehicle SEA model is established in the VAONE in the prior art, the situation that nodes are not shared between adjacent subsystems exists, and the accuracy and reliability of connection between the subsystems are further reduced.
Disclosure of Invention
Embodiments of the present invention provide a modeling method, system, device and medium based on a VAONE, which solve the problems in the prior art that the modeling efficiency is low and the accuracy is low, and the accuracy and reliability of the connection between subsystems cannot be guaranteed.
A VAONE-based modeling method, comprising:
acquiring an integral digital model of an object to be modeled, which is imported from the pre-processing module;
obtaining vibration and noise information of the object to be modeled, and determining first acoustic cavity structure division data of the whole digital-analog according to the vibration and noise information;
carrying out model simplification processing on the whole digital-to-analog;
acquiring component boundary data in the integral digital-analog, dividing the integral digital-analog into a plurality of model components according to the first acoustic cavity structure division data and the component boundary data, and distributing component attributes to each model component;
performing mesh division on the whole digital model to obtain a first finite element model of the whole object to be modeled, which comprises first mesh nodes, and exporting the first finite element model into a first file of a Nastran type;
importing the first file into a VAONE, selecting a first grid node according to a preset node selection rule, and establishing a plurality of board subsystems according to the selected first grid node;
after the first connection state among the board subsystems is determined to be correct, a plurality of sound cavity subsystems are established according to the first sound cavity structure division data;
and after confirming that the second connection state between the acoustic cavity subsystems and the third connection state between the board subsystem and the acoustic cavity subsystems are correct, confirming that the SEA model of the object to be modeled is established.
A VAONE-based modeling system, comprising:
the import module is used for acquiring an integral digital model of the object to be modeled imported from the pretreatment module;
the determining module is used for acquiring vibration and noise information of the object to be modeled and determining first acoustic cavity structure division data of the whole digital-analog according to the vibration and noise information;
the simplification module is used for carrying out model simplification processing on the integral digital-analog;
the segmentation module is used for acquiring component boundary data in the integral digital-analog, segmenting the integral digital-analog into a plurality of model components according to the first acoustic cavity structure segmentation data and the component boundary data, and distributing component attributes to each model component;
the meshing module is used for meshing the whole digital model to obtain a first finite element model of the whole object to be modeled, which comprises first mesh nodes, and exporting the first finite element model into a first file of a Nastran type;
the board subsystem establishing module is used for importing the first file into the VAONE, selecting a first grid node according to a preset node selection rule and establishing a plurality of board subsystems according to the selected first grid node;
the sound cavity subsystem establishing module is used for establishing a plurality of sound cavity subsystems according to the first sound cavity structure division data after determining that the first connection state among the board subsystems is correct;
and the model establishing module is used for confirming that the SEA model of the object to be modeled is established after confirming that the second connection state between the acoustic cavity subsystems and the third connection state between the plate subsystem and the acoustic cavity subsystems are correct.
A computer device comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, the processor implementing the above VAONE-based modeling method when executing the computer readable instructions.
A computer readable storage medium storing computer readable instructions which, when executed by a processor, implement the above VAONE-based modeling method.
According to the modeling method, system, device and medium based on VAONE, provided by the invention, before modeling, first acoustic cavity structure division data (namely, the structure division of an acoustic cavity subsystem is planned in advance) is determined according to vibration and noise information of an object to be modeled (for example, the object to be modeled can be the whole automobile of an automobile or a complex part on the whole automobile and the like) obtained through actual tests, and the first acoustic cavity structure division data can determine the direction for the board subsystem division of the object to be modeled, so that the first acoustic cavity structure division data plays a guiding role in a model simplification process, and a simplification result of model simplification processing is more accurate.
Meanwhile, when the model component is segmented according to the component boundary data, the part component in the part can be prevented from being too broken, so that the condition that the mode number of a plate subsystem in the finally generated SEA model is too low is avoided, the precision of the SEA model is improved, and the modeling error is reduced.
And because the first finite element model is the premise of establishing the SEA model, the plate subsystem is directly established according to the selected first grid node, the geometric shape of the plate subsystem is closer to the whole digital-analog, and the modeling accuracy and efficiency can be improved.
And thirdly, the first file corresponding to the integral digital-analog is integrally exported, so that the modeling of the object to be modeled in one window can be realized, and the real-time checking of the connection state between the board subsystem or/and the sound cavity subsystem is more accurate and faster (in the multi-window modeling, the sub-models under a plurality of windows need to be copied to the same window to check the connection state, and when the subsystems are not connected, the sub-models which are not connected need to be deleted, and then the sub-systems are re-established, so that the process of re-matching the sub-systems established in different batches is existed, which is not beneficial to the accuracy and efficiency of modeling).
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive labor.
FIG. 1 is a flow chart of a VAONE-based modeling method in an embodiment of the present invention;
FIG. 2 is a functional block diagram of a VAONE-based modeling system in an embodiment of the present invention;
FIG. 3 is a schematic diagram of a test result of an SEA model established by the VAONE-based modeling method in the noise prediction process;
FIG. 4 is a schematic diagram of a computer device in an embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a modeling method based on VAONE, which comprises the following steps as shown in figure 1:
s10, acquiring an integral digital model of the object to be modeled, which is imported from the preprocessing module; the overall digifax can be an overall 3D model of the object to be modeled, and the format of the overall digifax can be a common format such as CATIA, PROE, UG and the like. The pretreatment software is preferably Hypermesh; of course, in the present invention, the preprocessing software may be processing software other than Hypermesh, which is applicable.
S20, obtaining vibration and noise information of the object to be modeled, and determining first acoustic cavity structure division data of the whole digital-analog according to the vibration and noise information; in the step, firstly, the vibration and noise information of the object to be modeled is acquired through a vibration test and a noise test performed on the object to be modeled, and then the acquired related test information.
S30, carrying out model simplification processing on the whole digital model; the integral digital-analog module comprises a plurality of parts, and one part comprises at least one part assembly; specifically, the performing model simplification processing on the whole digital-to-analog includes:
deleting redundant geometric features in the whole digital-to-analog model until first boundaries between adjacent parts and second boundaries between the part assemblies are in a common boundary state; the redundant geometric features include one or more of redundant points, redundant lines, redundant faces, unnecessary holes, and broken faces. The model simplification processing mainly cleans irrelevant points, lines, surfaces, unnecessary holes and broken surfaces, and after cleaning, the boundary condition of the whole digital-analog is as follows: a first boundary between adjacent parts (a whole digital model comprises a plurality of parts, and one part comprises at least one part assembly) and a second boundary between the part assemblies are in a common boundary state. In this way, subsequent meshing and building of a plate subsystem or an acoustic cavity subsystem is facilitated. Understandably, in the present invention, the acoustic cavity subsystem needs to be established by the board subsystem, so when the preprocessing module enters for preprocessing, geometric cleaning and partitioning (i.e. model simplification processing) need to be performed on the parts (and component assemblies thereof) corresponding to the board subsystem in the whole digital-analog according to the first acoustic cavity structure partitioning data planned in step S20, which is to ensure that the board subsystem and the acoustic cavity subsystem have a better matching relationship, and avoid the problems of repeated modeling caused by deletion of the acoustic cavity subsystem and the board subsystem due to mismatching of the two subsystems in the subsequent process, finally resulting in errors, low efficiency, and the like.
S40, obtaining component boundary data in the whole digital-analog, dividing the whole digital-analog into a plurality of model components according to the first acoustic cavity structure division data and the component boundary data, and distributing component attributes to each model component. In this step, the whole digifax is divided according to the first acoustic cavity structure division data which plans the structures of the board subsystem and the acoustic cavity subsystem in the earlier stage and by combining the component boundary data between the components in the whole digifax and between the component assemblies of the components, specifically, the division principle is as follows: the integrity of each part assembly in the part is guaranteed as much as possible, one part assembly is preferably divided into model assemblies, and the part assemblies which need to be divided are not divided too much (that is, the number of the model assemblies obtained after the same part assembly is divided is set not to exceed a preset number threshold). In the present invention, taking the acoustic cavity space corresponding to the cab in the whole digifax as an example (the acoustic cavity space of the cab can be regarded as a component, and the front and rear evacuation spaces of each of the upper and lower layers of the component can be regarded as a component assembly), there are mainly two division methods (not limited to these two methods): the first is that each part assembly is divided into two model assemblies according to bilateral symmetry, finally, the sound cavity space of the cab can be divided into 8 model assemblies by upper and lower layers which are bilateral symmetry and are arranged in front and back as boundaries; the second method is as follows: the model assembly is divided into 12 model assemblies by dividing the model assembly into a left layer, a middle layer and a right layer by taking the geometric boundary of the top skylight as a boundary and taking the front row and the rear row as a boundary. Understandably, the finer the division of the model components is, the closer the model components are to the observation point of the test, but the finer the division of the model components is, the smaller the plate subsystem is correspondingly, and the smaller the number of modes is, so that the integral digital-analog is divided into a plurality of model components according to the first acoustic cavity structure division data and the component boundary data, and the plate subsystem is not excessively divided on the premise of meeting the requirement of approaching the test observation point, so that the rationality of the division of the model components of the integral digital-analog is realized, that is, the consistency of the geometric shape of the subsystem and the actual digital-analog of the object to be modeled is ensured, the modeling efficiency is improved, and the requirement of each subsystem for analyzing the number of modes is also ensured.
Understandably, each of the component attributes includes a component ID code therein; the assigning component attributes to each of the model components includes:
distributing component attributes for each model component according to preset attribute distribution rules, wherein the preset attribute distribution rules comprise: one model component corresponds to one component attribute, and the component attributes of two adjacent model components comprise different component ID codes. That is, when the same part assembly is divided into two or more model assemblies, it is necessary to assign assembly attributes (the assembly attributes may be set according to the requirements, such as material attributes and thickness) to each of the two or more divided model assemblies; for example, the component _1 of a certain component is divided into two parts, and the component _1 needs to be divided into two components, namely component _1-1 and component _ 1-2; meanwhile, the component attributes are related to the subsequent division of the subsystem (an important principle for establishing an SEA model division subsystem is that components with the same component attributes can be divided into the same subsystem), so that the corresponding component attributes of all the components are respectively established; understandably, the component attributes of the model components divided from the same part component are the same, but a component ID code corresponding to each model component attribute needs to be established (the component ID code may be a combination code of numbers, letters or symbols for identifying one model component), and the component ID codes between adjacent model components must be different; however, in the present invention, if the model components are not adjacent, if the component attributes are the same, the component attributes having the same component ID code may be assigned thereto; therefore, after the method is imported into the VAONE, the method can be used for distinguishing grids adjacent to the grids divided by each model component, and is convenient for selecting the required grids by one-key frame, so that the required board subsystem is established according to the grid nodes corresponding to the selected grids.
S50, performing meshing on the whole digital model to obtain a first finite element model of the whole object to be modeled, which comprises first mesh nodes, and exporting the first finite element model into a first file of a Nastran type; the integral digital analogy is subjected to mesh division, the integral digital analogy after the mesh division can embody the geometric characteristics of the whole vehicle, so that the fitting degree of the integral digital analogy after the mesh division and an actual model of an object to be modeled is high, particularly the fitting degree of an irregular curved surface of the integral digital analogy and the actual model of the object to be modeled is ensured. In this embodiment, after the first finite element model of the object to be modeled containing the first mesh node is obtained, it is exported to the corresponding Nastran type file (. bdf format). In the invention, the integral finite element model of the object to be modeled is led out in a window as a whole for modeling, so that the network node selection and the real-time checking of the connection state among the subsystems can be more accurate and faster. Although the multi-window modeling in the prior art can also check the connection between subsystems in real time, models under multiple windows need to be copied to one window for checking (the whole digital-analog is composed of multiple parts, so the model of the whole digital-analog is complex, and the process is complex).
S60, importing the first file into the VAONE, selecting a first grid node according to a preset node selection rule, and establishing a plurality of board subsystems according to the selected first grid node.
That is, after the file is imported into the VAONE, the preset node selection rule includes: firstly, it is determined that the model component (after grid division) corresponding to the irregular curved surface which is difficult to construct by a single flat plate or curvature plate is contained in the whole digital-to-analog, and then, a required plate subsystem can be generated by using a first direct generation module (the first direct generation module is used for directly generating the required plate subsystem according to the first grid node of the model component corresponding to the irregular curved surface) in the VAONE. Secondly, aiming at a model component (after grid division) corresponding to a regular curved surface, combining a grid node led in after grid division of the model component and a grid node (when a finite element model is led in, the grid node is led in together), manually selecting the grid node to establish a plate subsystem corresponding to the selected grid node (the manually selected node is selected from the led-in grid nodes, and the selection principle is that a grid boundary node is mainly selected, and meanwhile, the geometric characteristics of the plate subsystem are ensured to be attached to the geometric characteristics of the finite element model corresponding to the part, so that the attachment degree of the finally established SEA model and the actual model of the object to be modeled can be ensured).
S70, after the first connection state among the board subsystems is determined to be correct, establishing a plurality of sound cavity subsystems according to the first sound cavity structure division data; that is, in the present invention, the checking tool for checking connection in the VAONE may be used to check whether the first connection state between the board subsystems is error-free, and if no error is found, the process may proceed to step S80, and the sound cavity subsystem may be established according to the first sound cavity structure division data. If the grid node information is wrong, the grid node can be readjusted (namely, the second grid node after adjustment is obtained), and a new board subsystem is reestablished according to the second grid node; and enters the subsequent step.
And S80, after confirming that the second connection state between the sound cavity subsystems and the third connection state between the board subsystem and the sound cavity subsystems are correct, confirming that the SEA model of the object to be modeled is established. That is, it is possible to detect whether the second connection state between the respective acoustic cavity subsystems is incorrect and to detect whether the third connection state between the board subsystem and the acoustic cavity subsystems is error-free by using a checking tool for checking connection in the VAONE; when at least one of the second connection state or the third connection state is wrong, wrong acoustic cavity structure information corresponding to the wrong second connection state or third connection state needs to be prompted (the wrong acoustic cavity structure information refers to a wrong network node position, a wrong reason, a solution, or unreasonable first acoustic cavity structure division data causing the second connection state or the third connection state to be wrong, and the like); in addition, when the second connection state or the third connection state is wrong in the wrong sound cavity structure information, the grid node can be readjusted, and a new board subsystem is reestablished according to the adjusted grid node; and enters the subsequent step. On the other hand, when the first sound cavity structure division data is unreasonable due to the occurrence of the second connection state or the third connection state error in the erroneous sound cavity structure information, it is necessary to readjust the first sound cavity structure division data to the second sound cavity structure division data according to the erroneous sound cavity structure information, divide the entire digital-analog into a plurality of model components according to the second sound cavity structure division data and the component boundary data, assign component attributes to each of the model components, and then proceed to the subsequent steps according to steps S10-S80.
Understandably, in the present invention, the first connection state refers to a connection state between the board subsystems established according to the mesh nodes (including the first mesh node, the second mesh node, the third mesh node, or the fourth mesh node), and the second connection state refers to a connection state between the sound cavity subsystems established according to the sound cavity structure partition data (including the first sound cavity structure partition data or the second sound cavity structure partition data); and the third connection state refers to the connection state between the board subsystem established according to the grid nodes and the acoustic cavity subsystem established according to the acoustic cavity structure division data.
Understandably, because of the complexity of the whole digital analogy, the propagation of the air sound inside the object to be modeled is mainly simulated by establishing the sound cavity subsystem inside the object to be modeled, the division of the sound cavity subsystem inside the object to be modeled is different due to the difference of the whole digital analogy, and finally the sound cavity subsystem is established according to the plate subsystem. The problem that the mode number of a subsystem in the SEA model is too low due to the fact that each component is cut into pieces is avoided, the accuracy of the whole SEA model is improved, errors of calculation and analysis are reduced, repeated modeling due to the fact that the acoustic cavity subsystem and the plate subsystem are deleted due to mismatching of the two in the follow-up process can be avoided to the greatest extent, modeling errors are reduced, and modeling efficiency is improved. As shown in fig. 3, when the SEA model established by the modeling method based on VAONE in the present invention is actually applied to the process of predicting the noise near the right ear of the driver in the vehicle when the interior of the object to be modeled, such as the interior of the entire vehicle, the accuracy is improved compared with the modeling method in the prior art, and the predicted data is basically consistent with the measured data.
According to the modeling method, system, device and medium based on VAONE, provided by the invention, before modeling, first sound cavity structure division data (namely, the structure division of a sound cavity subsystem is planned in advance) is determined according to vibration and noise information of an object to be modeled, which is obtained through actual testing, and the first sound cavity structure division data can determine the direction for the board subsystem division of each part of the object to be modeled, so that the first sound cavity structure division data plays a guiding role in a model simplification process, and the simplification result of model simplification processing is more accurate.
Meanwhile, when the model component is segmented according to the component boundary data, the part component in the part can be prevented from being too broken, so that the condition that the mode number of a plate subsystem in the finally generated SEA model is too low is avoided, the precision of the SEA model is improved, and the modeling error is reduced.
And because the first finite element model is the premise of establishing the SEA model, the plate subsystem is directly established according to the selected first grid node, the geometric shape of the plate subsystem is closer to the whole digital-analog, and the modeling accuracy and efficiency can be improved.
And thirdly, integrally exporting the first file corresponding to the integral digital-analog, so that the integral modeling of the object to be modeled can be realized in one window, and thus, the real-time checking of the connection state between the board subsystem or/and the acoustic cavity subsystem is more accurate and faster (in the multi-window modeling, the sub-models under a plurality of windows need to be copied to the same window to check the connection state, and when the subsystems are not connected, the sub-models under the plurality of windows need to be re-established after the non-connected subsystems need to be deleted, so that the sub-models established in different batches can be re-matched, and the accuracy and the efficiency of modeling are not facilitated).
In an embodiment, in the step S40, the obtaining component boundary data in the whole digital-analog, and dividing the whole digital-analog into a plurality of model components according to the first acoustic cavity structure division data and the component boundary data includes:
acquiring assembly boundary data in the whole digital-to-analog, wherein the assembly boundary data refers to first boundary data of each part and second boundary data of each part assembly;
segmenting the integral digital-analog according to the dividing track to obtain a segmented model assembly; one part assembly corresponds to at least one model assembly. Preferably, the dividing the entire digifax according to the dividing track includes: firstly, generating a plurality of dividing tracks according to the first sound cavity structure dividing data; determining the dividing track with the highest overlapping degree of the component boundary data as an optimal dividing track; and then, segmenting the whole digital-analog according to the optimal segmentation track to obtain the segmented model component.
Understandably, since the segmentation principle is: the integrity of each part assembly in the part is guaranteed as much as possible, one part assembly is preferably divided into model assemblies, and the part assemblies which need to be divided are not divided too much (that is, the number of the model assemblies obtained after the same part assembly is divided is set not to exceed a preset number threshold). Therefore, in this embodiment, the higher the coincidence degree between the division trajectory and the component boundary data (including the first component boundary data and the second component boundary data), the lower the possibility that the part component is divided into two or more module components in the integrated view, and therefore, the division trajectory with the highest coincidence degree is selected to be determined as the optimal division trajectory, which can ensure the integrity of each part component in the component as much as possible. Therefore, by segmenting the model component in this embodiment, the establishment of the panel subsystem and the acoustic cavity subsystem can be considered in combination, that is, the division of the acoustic cavity subsystem is considered comprehensively before modeling (that is, the first acoustic cavity structure division data of the whole digital analog is determined according to the vibration and noise information), the planned comprehensive division of the panel subsystem and the acoustic cavity subsystem can be guided, and a better matching relationship between the panel subsystem and the acoustic cavity subsystem is further ensured.
In an embodiment, after the step S60 of establishing a plurality of board subsystems according to the selected first grid node, the method further includes:
when the first connection state between the board subsystems is determined to be wrong, prompting wrong grid node information corresponding to the wrong first connection state;
adjusting the first grid node according to the wrong grid node information to obtain a second grid node, and reestablishing a new board subsystem according to the second grid node;
after determining that the first connection state among the new board subsystems is correct, establishing a plurality of sound cavity subsystems according to the first sound cavity structure division data;
and after confirming that the second connection state between the acoustic cavity subsystems and the third connection state between the board subsystem and the acoustic cavity subsystems are correct, confirming that the SEA model of the object to be modeled is established.
That is, in this embodiment, if it is determined that the first connection state between the board subsystems is incorrect, the board subsystems need to be re-established, and faulty grid node information is prompted (the faulty grid node information refers to a faulty node position, a faulty reason, or a solution, etc.), and further, according to the faulty grid node information, the grid node may be re-adjusted (that is, the adjusted second grid node is obtained), and a new board subsystem is re-established according to the second grid node; and enters the subsequent step.
In an embodiment, after the step S70 of establishing a plurality of sound cavity subsystems according to the first sound cavity structure division data, the method further includes:
when the second connection state between the sound cavity subsystems or/and the third connection state between the plate subsystem and the sound cavity subsystems are confirmed to be wrong, error information corresponding to the wrong second connection state or/and the wrong third connection state is prompted;
when the wrong information contains wrong sound cavity structure information, adjusting a first sound cavity structure according to the wrong sound cavity structure information to obtain second sound cavity structure division data, dividing the whole digital-analog into a plurality of model assemblies according to the second sound cavity structure division data and the assembly boundary data, and distributing assembly attributes to each model assembly;
carrying out meshing on the whole digital model again to obtain a second finite element model of the whole object to be modeled, which contains third mesh nodes, and exporting the second finite element model into a second file of a Nastran type;
importing the second file into a VAONE, selecting a third grid node according to a preset node selection rule, and establishing a plurality of new board subsystems according to the selected third grid node;
after determining that the first connection state among the new board subsystems is correct, establishing a plurality of new sound cavity subsystems according to the second sound cavity structure division data;
and after confirming that the second connection state between the new sound cavity subsystems and the third connection state between the new board subsystem and the new sound cavity subsystems are correct, confirming that the SEA model of the object to be modeled is established.
That is, in the present embodiment, it is possible to detect whether the second connection state between the acoustic cavity subsystems and the third connection state between the board subsystem and the acoustic cavity subsystems are incorrect by using a check tool for checking connection in VAONE, and when at least one of the second connection state or the third connection state is incorrect, that is, it is necessary to prompt the wrong information corresponding to the second connection state or/and the third connection state (where the wrong information may include wrong sound cavity structure information or/and wrong mesh node information; the wrong mesh node information refers to a wrong node position, a wrong reason, or a solution, etc.; the wrong sound cavity structure information refers to a wrong network node position, a wrong reason, a solution, or unreasonable first sound cavity structure division data that causes the second connection state or the third connection state to be wrong, etc.); and, in the wrong information, if there is wrong sound cavity structure information (including two cases, one is that there is only wrong sound cavity structure information in the wrong information, and one is that there is wrong sound cavity structure information and wrong grid node information in the wrong information at the same time), because the wrong sound cavity structure information will cause the generation of wrong grid node information when performing grid division, therefore, firstly, the cause of the wrong first connection state or/and the third connection state is considered to be unreasonable first sound cavity structure division data, at this time, it is necessary to readjust the first sound cavity structure division data to second sound cavity structure division data according to the wrong sound cavity structure information, and divide the whole vehicle digital model into a plurality of model components according to the second sound cavity structure division data and the component boundary data, and assign component attributes to each model component, then proceeding to the subsequent steps according to steps S10-S80.
In an embodiment, after the prompting the incorrect information corresponding to the second connection state or/and the third connection state with the error, the method further includes:
when the error information only contains error grid node information, adjusting the first grid node according to the error grid node information to obtain a fourth grid node, and reestablishing a plurality of new board subsystems according to the fourth grid node;
after determining that the first connection state among the new board subsystems is correct, establishing a plurality of sound cavity subsystems according to the first sound cavity structure division data;
and after confirming that the second connection state between the acoustic cavity subsystems and the third connection state between the board subsystem and the acoustic cavity subsystems are correct, confirming that the SEA model of the object to be modeled is established.
That is, in this embodiment, when the second connection state or/and the third connection state is faulty, if it is determined that only the faulty mesh node information exists in the faulty information corresponding to the faulty second connection state or/and the third connection state, at this time, the mesh node is directly readjusted according to the faulty mesh node information (that is, the fourth mesh node after adjustment is obtained), and a new board subsystem is reestablished according to the fourth mesh node; and enters the subsequent step.
In an embodiment, as shown in fig. 2, a modeling system based on VAONE is provided, and the modeling system based on VAONE corresponds to the modeling method based on VAONE in the foregoing embodiment one to one. The VAONE-based modeling system comprises:
the import module 11 is used for acquiring an integral digital model of the object to be modeled imported from the pretreatment module;
the determining module 12 is configured to obtain vibration and noise information of the object to be modeled, and determine first acoustic cavity structure division data of the whole digital-analog according to the vibration and noise information;
a simplification module 13, which is used for model simplification processing of the whole digital-analog;
a dividing module 14, configured to obtain component boundary data in the entire digital-analog, divide the entire digital-analog into a plurality of model components according to the first acoustic cavity structure division data and the component boundary data, and assign component attributes to each model component;
the meshing module 15 is used for meshing the whole digital model to obtain a first finite element model of the whole object to be modeled, which comprises first mesh nodes, and exporting the first finite element model into a first file of a Nastran type;
the board subsystem establishing module 16 is configured to import the first file into a VAONE, select a first grid node according to a preset node selection rule, and establish a plurality of board subsystems according to the selected first grid node;
the acoustic cavity subsystem building module 17 is used for building a plurality of acoustic cavity subsystems according to the first acoustic cavity structure division data after determining that the first connection state among the board subsystems is correct;
and the model establishing module 18 is used for confirming that the SEA model of the object to be modeled is established after confirming that the second connection state between the acoustic cavity subsystems and the third connection state between the board subsystem and the acoustic cavity subsystems are correct.
For specific limitations of the VAONE-based vehicle modeling system, reference may be made to the above limitations of the VAONE-based vehicle modeling method, which are not described herein again. All or part of each module in the VAONE-based whole vehicle modeling system can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer readable instructions, and a database. The internal memory provides an environment for the operating system and execution of computer-readable instructions in the non-volatile storage medium. The computer readable instructions, when executed by a processor, implement a VAONE-based modeling approach.
In one embodiment, a computer device is provided that includes a memory, a processor, and computer readable instructions stored on the memory and executable on the processor, the processor implementing the above-described VAONE-based modeling method when executing the computer readable instructions.
In one embodiment, a computer-readable storage medium is provided having computer-readable instructions stored thereon which, when executed by a processor, implement the above-described VAONE-based modeling method.
It will be understood by those of ordinary skill in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware associated with computer readable instructions, which can be stored in a non-volatile computer readable storage medium, and when executed, can include processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), Direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of each functional unit or module is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units or modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A VAONE-based modeling method is characterized by comprising the following steps:
acquiring an integral digital model of an object to be modeled, which is imported from the pre-processing module;
obtaining vibration and noise information of the object to be modeled, and determining first acoustic cavity structure division data of the whole digital-analog according to the vibration and noise information;
carrying out model simplification processing on the whole digital-to-analog;
acquiring component boundary data in the integral digital-analog, dividing the integral digital-analog into a plurality of model components according to the first acoustic cavity structure division data and the component boundary data, and distributing component attributes to each model component;
performing mesh division on the whole digital model to obtain a first finite element model of the whole object to be modeled, which comprises first mesh nodes, and exporting the first finite element model into a first file of a Nastran type;
importing the first file into a VAONE, selecting a first grid node according to a preset node selection rule, and establishing a plurality of board subsystems according to the selected first grid node;
after the first connection state among the board subsystems is determined to be correct, a plurality of sound cavity subsystems are established according to the first sound cavity structure division data;
and after confirming that the second connection state between the acoustic cavity subsystems and the third connection state between the board subsystem and the acoustic cavity subsystems are correct, confirming that the SEA model of the object to be modeled is established.
2. The VAONE-based modeling method of claim 1 wherein the overall model includes a plurality of components, one of the components including at least one part assembly;
the model simplification processing of the whole digital-to-analog model comprises the following steps:
deleting redundant geometric features in the whole digital-to-analog model until first boundaries between adjacent parts and second boundaries between the part assemblies are in a common boundary state; the redundant geometric features include one or more of redundant points, redundant lines, redundant faces, unnecessary holes, and broken faces.
3. The VAONE-based modeling method of claim 2 wherein the obtaining component boundary data in the overall digifax, the segmenting the overall digifax into model components according to the first acoustic cavity structure partition data and the component boundary data comprises:
acquiring assembly boundary data in the whole digital-to-analog, wherein the assembly boundary data refers to first boundary data of each part and second boundary data of each part assembly;
generating a plurality of dividing tracks according to the first sound cavity structure dividing data;
segmenting the integral digital-analog according to the dividing track to obtain a segmented model assembly; one part assembly corresponds to at least one model assembly.
4. The VAONE-based modeling method of claim 1 wherein each of the component attributes includes a component ID code;
the assigning component attributes to each of the model components includes:
distributing component attributes for each model component according to preset attribute distribution rules, wherein the preset attribute distribution rules comprise: one model component corresponds to one component attribute, and the component attributes of two adjacent model components comprise different component ID codes.
5. The VAONE-based modeling method of claim 1, wherein after the building of the board subsystem according to the selected first grid node, further comprising:
when the first connection state between the board subsystems is determined to be wrong, prompting wrong grid node information corresponding to the wrong first connection state;
adjusting the first grid node according to the grid node information with errors to obtain a second grid node, and reestablishing a plurality of new board subsystems according to the second grid node;
after determining that the first connection state among the new board subsystems is correct, establishing a plurality of sound cavity subsystems according to the first sound cavity structure division data;
and after confirming that the second connection state between the acoustic cavity subsystems and the third connection state between the board subsystem and the acoustic cavity subsystems are correct, confirming that the SEA model of the object to be modeled is established.
6. The VAONE-based modeling method of claim 1 wherein, after establishing a plurality of acoustic cavity subsystems according to the first acoustic cavity structure partition data, further comprising:
when the second connection state between the sound cavity subsystems or/and the third connection state between the plate subsystem and the sound cavity subsystems are confirmed to be wrong, error information corresponding to the wrong second connection state or/and the wrong third connection state is prompted;
when the wrong information contains wrong sound cavity structure information, adjusting a first sound cavity structure according to the wrong sound cavity structure information to obtain second sound cavity structure division data, dividing the whole digital-analog into a plurality of model assemblies according to the second sound cavity structure division data and the assembly boundary data, and distributing assembly attributes to each model assembly;
carrying out meshing on the whole digital model again to obtain a second finite element model of the whole object to be modeled, which contains third mesh nodes, and exporting the second finite element model into a second file of a Nastran type;
importing the second file into a VAONE, selecting a third grid node according to a preset node selection rule, and establishing a plurality of new board subsystems according to the selected third grid node;
after determining that the first connection state among the new board subsystems is correct, establishing a plurality of new sound cavity subsystems according to the second sound cavity structure division data;
and after confirming that the second connection state between the new sound cavity subsystems and the third connection state between the new board subsystem and the new sound cavity subsystems are correct, confirming that the SEA model of the object to be modeled is established.
7. The VAONE-based modeling method according to claim 6, wherein after prompting the faulty information corresponding to the faulty second connection state or/and the third connection state, further comprising:
when the error information only contains error grid node information, adjusting the first grid node according to the error grid node information to obtain a fourth grid node, and reestablishing a plurality of new board subsystems according to the fourth grid node;
after determining that the first connection state among the new board subsystems is correct, establishing a plurality of sound cavity subsystems according to the first sound cavity structure division data;
and after confirming that the second connection state between the acoustic cavity subsystems and the third connection state between the board subsystem and the acoustic cavity subsystems are correct, confirming that the SEA model of the object to be modeled is established.
8. A VAONE-based modeling system, comprising:
the import module is used for acquiring an integral digital model of the object to be modeled imported from the pretreatment module;
the determining module is used for acquiring vibration and noise information of the object to be modeled and determining first acoustic cavity structure division data of the whole digital-analog according to the vibration and noise information;
the simplification module is used for carrying out model simplification processing on the integral digital-analog;
the segmentation module is used for acquiring component boundary data in the integral digital-analog, segmenting the integral digital-analog into a plurality of model components according to the first acoustic cavity structure segmentation data and the component boundary data, and distributing component attributes to each model component;
the meshing module is used for meshing the whole digital model to obtain a first finite element model of the whole object to be modeled, which comprises first mesh nodes, and exporting the first finite element model into a first file of a Nastran type;
the board subsystem establishing module is used for importing the first file into the VAONE, selecting a first grid node according to a preset node selection rule and establishing a plurality of board subsystems according to the selected first grid node;
the sound cavity subsystem establishing module is used for establishing a plurality of sound cavity subsystems according to the first sound cavity structure division data after determining that the first connection state among the board subsystems is correct;
and the model establishing module is used for confirming that the SEA model of the object to be modeled is established after confirming that the second connection state between the acoustic cavity subsystems and the third connection state between the plate subsystem and the acoustic cavity subsystems are correct.
9. A computer device comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, wherein the processor when executing the computer readable instructions implements the method of VAONE-based modeling according to any of claims 1 to 7.
10. A computer readable storage medium storing computer readable instructions, which when executed by a processor implement the method of any of claims 1 to 7 for VAONE-based modeling.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114323261A (en) * | 2021-12-28 | 2022-04-12 | 中集海洋工程有限公司 | Method for forecasting and evaluating vibration noise of ventilation system of offshore equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412996A (en) * | 2013-08-09 | 2013-11-27 | 无锡吉兴汽车声学部件科技有限公司 | Method for rapidly establishing acoustics component model in VA-One |
| CN105184018A (en) * | 2015-10-13 | 2015-12-23 | 同济汽车设计研究院有限公司 | Method for calculating mid-frequency transmission loss of subsystems and optimizing acoustic packages |
| CN108170970A (en) * | 2018-01-08 | 2018-06-15 | 东南（福建）汽车工业有限公司 | A kind of quick method for establishing vehicle statistics energy model based on VAOne |
| CN109635396A (en) * | 2018-11-30 | 2019-04-16 | 同济大学 | A kind of vibroacoustics analysis method of multi-layer C FRP structure plate |
-
2020
- 2020-04-24 CN CN202010334610.0A patent/CN113553734B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412996A (en) * | 2013-08-09 | 2013-11-27 | 无锡吉兴汽车声学部件科技有限公司 | Method for rapidly establishing acoustics component model in VA-One |
| CN105184018A (en) * | 2015-10-13 | 2015-12-23 | 同济汽车设计研究院有限公司 | Method for calculating mid-frequency transmission loss of subsystems and optimizing acoustic packages |
| CN108170970A (en) * | 2018-01-08 | 2018-06-15 | 东南（福建）汽车工业有限公司 | A kind of quick method for establishing vehicle statistics energy model based on VAOne |
| CN109635396A (en) * | 2018-11-30 | 2019-04-16 | 同济大学 | A kind of vibroacoustics analysis method of multi-layer C FRP structure plate |
Non-Patent Citations (3)
| Title |
|---|
| 罗文俊;蒋峻楠;雷晓燕;刘全民;: "基于FE-SEA混合法的车内结构噪声预测分析", 铁道学报, no. 12 * |
| 贺岩松;张辉;夏小均;徐中明;张志飞;: "轿车车内中频噪声的FE-SEA混合分析", 汽车工程, no. 06, pages 761 * |
| 郭云松;丁炜;周相荣;蒋维钢;: "VA One在舱室噪声预报中的应用", 噪声与振动控制, no. 04 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114323261A (en) * | 2021-12-28 | 2022-04-12 | 中集海洋工程有限公司 | Method for forecasting and evaluating vibration noise of ventilation system of offshore equipment |
| CN114323261B (en) * | 2021-12-28 | 2024-04-02 | 中集海洋工程有限公司 | Method for forecasting and evaluating vibration noise of ventilation system of offshore equipment |
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