CN114398711A - Concrete gravity dam CAE integrated analysis method and device and electronic equipment - Google Patents

Concrete gravity dam CAE integrated analysis method and device and electronic equipment Download PDF

Info

Publication number
CN114398711A
CN114398711A CN202210297774.XA CN202210297774A CN114398711A CN 114398711 A CN114398711 A CN 114398711A CN 202210297774 A CN202210297774 A CN 202210297774A CN 114398711 A CN114398711 A CN 114398711A
Authority
CN
China
Prior art keywords
model
dimensional
analysis
cloud computing
computing platform
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN202210297774.XA
Other languages
Chinese (zh)
Inventor
于琦
林恩德
胡永胜
欧阳金惠
谭尧升
欧阳建树
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Three Gorges Corp
Original Assignee
China Three Gorges Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Three Gorges Corp filed Critical China Three Gorges Corp
Priority to CN202210297774.XA priority Critical patent/CN114398711A/en
Publication of CN114398711A publication Critical patent/CN114398711A/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects

Abstract

The invention discloses a concrete gravity dam CAE integrated analysis method, a device and electronic equipment, which are applied to a three-dimensional modeling end, wherein the three-dimensional modeling end is in communication connection with a plurality of client sides, the three-dimensional modeling end is in communication connection with a cloud computing platform, and the cloud computing platform is provided with a finite element analysis unit, and the method comprises the following steps: receiving three-dimensional geometric parameters and attribute information of a target dam section, which are sent by a client, and constructing a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information; forming a finite element model of the three-dimensional model; importing the calculation condition parameters into a finite element model to obtain an analysis model; and sending the analysis model to a cloud computing platform so that the cloud computing platform performs CAE analysis on the analysis model through a finite element analysis unit, and adjusting the three-dimensional geometric parameters according to result data fed back by the cloud computing platform so as to generate a new three-dimensional model. The technical scheme provided by the invention realizes the function of closely matching design work and CAE analysis, and improves the accuracy of model design.

Description

Concrete gravity dam CAE integrated analysis method and device and electronic equipment
Technical Field
The invention relates to the field of building structure analysis, in particular to a concrete gravity dam CAE integrated analysis method, a device and electronic equipment.
Background
In the design process of the gravity dam, finite element CAE analysis is generally required to be carried out after the three-dimensional design scheme is basically formed, namely, stress, strain and displacement values of a dam body are calculated. In the prior art, three-dimensional CAE analysis work is generally entrusted to third-party institutions such as universities and scientific research institutions, and due to time limitation of factors such as construction periods, the units synchronously develop design based on three-dimensional design results which are not subjected to three-dimensional finite element analysis, so that the method depends on the simulation calculation level of the scientific research institutions of the universities; on the other hand, the finite element analysis results are generated late, the timeliness is poor, and further design work of a design institute is not combined with feedback results of three-dimensional finite element analysis, so that the design is not accurate enough and reliable enough. At present, CAE analysis is separated from a three-dimensional model design process due to the limitations of calculation speed and the like, the CAE analysis is usually carried out after the design work independently rather than through the design process for continuous interaction influence, only three-dimensional design results can be verified, and CAE analysis cannot be integrated and fed back quickly in the actual design process so as to guide the design work. Therefore, how to solve the problem that the design work is disjointed from the CAE analysis is a very critical and important research direction.
Disclosure of Invention
In view of this, the embodiment of the invention provides a method and a device for analyzing the CAE integration of a concrete gravity dam and an electronic device, so that the function of close cooperation between design work and CAE analysis is realized, and the accuracy of model design is improved.
According to a first aspect, the invention provides a concrete gravity dam CAE integration analysis method, which is applied to a three-dimensional modeling end, wherein the three-dimensional modeling end is in communication connection with a plurality of clients, the three-dimensional modeling end is in communication connection with a cloud computing platform, and the cloud computing platform is deployed with a finite element analysis unit, and the method comprises the following steps: receiving three-dimensional geometric parameters and attribute information of a target dam section, which are sent by a client, and constructing a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information; carrying out automatic mesh generation on the three-dimensional model to form a finite element model; receiving calculation condition parameters sent by a client, and importing the calculation condition parameters into the finite element model to obtain an analysis model, wherein the calculation condition parameters at least comprise boundary conditions and load information; sending the analysis model to the cloud computing platform so that the cloud computing platform performs CAE analysis on the analysis model through the finite element analysis unit to generate result data; and receiving the result data fed back by the cloud computing platform, and adjusting the three-dimensional geometric parameters based on the result data to generate a new three-dimensional model.
Optionally, the constructing a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information includes: constructing a three-dimensional model component of the target dam section based on the three-dimensional geometric parameters; performing visual programming based on the three-dimensional model assembly and the attribute information of the target dam section; and analyzing the programming result to automatically generate the three-dimensional model.
Optionally, before the sending the analytical model to the cloud computing platform, the method further comprises: and importing the attribute information into the analysis model.
Optionally, the result data includes a result graph and a result data table, and the method further includes: and sending the result data table and the result graph to a client so that the client can display the result data table and the result graph.
Optionally, after generating the new three-dimensional model, the method further comprises: and returning to the step of performing automatic mesh generation on the three-dimensional model to form a finite element model, and performing iterative CAE analysis on the basis of the new three-dimensional model until the preset times are returned.
Optionally, the calculating condition parameters further includes a working condition, and the method further includes: and adjusting the working conditions to enable the cloud computing platform to generate corresponding result data under a plurality of working conditions.
Optionally, the three-dimensional modeling terminal is deployed with a first database and a second database, the first database is used for storing the attribute information and the calculation condition parameters, and the second database is used for storing the three-dimensional geometric parameters.
According to a second aspect, the invention provides a concrete gravity dam CAE integrated analysis device, which is applied to a three-dimensional modeling end, the three-dimensional modeling end is in communication connection with a plurality of clients, the three-dimensional modeling end is in communication connection with a cloud computing platform, the cloud computing platform is provided with a finite element analysis unit, and the device comprises: the three-dimensional model building module is used for receiving three-dimensional geometric parameters and attribute information of a target dam section sent by a client side and building a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information; the mesh generation module is used for carrying out automatic mesh generation on the three-dimensional model to form a finite element model; the parameter import module is used for receiving the calculation condition parameters sent by the client and importing the calculation condition parameters into the finite element model to obtain an analysis model, wherein the calculation condition parameters at least comprise boundary conditions and load information; the finite element analysis module is used for sending the analysis model to the cloud computing platform so that the cloud computing platform performs CAE analysis on the analysis model through the finite element analysis unit to generate result data; and the adjusting module is used for receiving the result data fed back by the cloud computing platform and adjusting the three-dimensional geometric parameters based on the result data so as to generate a new three-dimensional model.
According to a third aspect, an embodiment of the present invention provides an electronic device, including: a memory and a processor, the memory and the processor being communicatively coupled to each other, the memory having stored therein computer instructions, and the processor performing the method of the first aspect, or any one of the optional embodiments of the first aspect, by executing the computer instructions.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores computer instructions for causing a computer to thereby perform the method of the first aspect, or any one of the optional implementation manners of the first aspect.
The technical scheme provided by the application has the following advantages:
according to the technical scheme, the three-dimensional modeling system, namely the three-dimensional modeling end, is deployed in the local server and is in communication connection with the plurality of client sides, so that a user can realize three-dimensional modeling through a browser of the client sides, particularly for a multi-user cooperation project, model statistics designed by each user do not need to be uploaded and then combined, and the three-dimensional modeling efficiency is improved. After receiving the three-dimensional geometric parameters and the attribute information of the target dam section, which are sent by the client, the three-dimensional modeling end builds a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information; then, carrying out automatic mesh generation on the three-dimensional model to form a finite element model; and then, the user operates at the client to enable the client to send the calculation condition parameters to the three-dimensional modeling end, and the three-dimensional modeling end imports the calculation condition parameters into the finite element model to obtain an analysis model capable of carrying out finite element analysis. In order to improve CAE analysis efficiency and closely combine finite element analysis and model design work, a software unit for finite element analysis is deployed on a cloud computing platform by means of a cloud computing technology, and an analysis model is sent to the cloud computing platform by a local server so that the cloud computing platform performs CAE analysis on the analysis model through the finite element analysis unit to generate result data; and the local server receives result data fed back by the cloud computing platform, and adjusts the three-dimensional geometric parameters based on the result data to generate a new three-dimensional model. Therefore, the close combination of the finite element analysis and the model design process is realized, the problem that the analysis result is only used for verification and can not guide the design work due to the fact that the finite element analysis is carried out by means of a third party in the prior art is solved, and the accuracy and the reliability of the model design are improved.
Drawings
The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and not to be construed as limiting the invention in any way, and in which:
FIG. 1 is a schematic diagram illustrating the steps of a CAE integrated analysis method for a concrete gravity dam according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a CAE integrated analysis method for a concrete gravity dam according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram illustrating an apparatus of a CAE integrated analysis method for a concrete gravity dam according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a CAE integrated analysis device of a concrete gravity dam according to an embodiment of the present invention;
fig. 5 shows a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1 to 3, in an embodiment, a CAE integrated analysis method for a concrete gravity dam is applied to a three-dimensional modeling end, the three-dimensional modeling end establishes a communication connection with a plurality of clients, the three-dimensional modeling end establishes a communication connection with a cloud computing platform, and the cloud computing platform deploys a finite element analysis unit, and the method specifically includes the following steps:
step S101: and receiving the three-dimensional geometric parameters and the attribute information of the target dam section, which are sent by the client, and constructing a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information.
Step S102: carrying out automatic mesh generation on the three-dimensional model to form a finite element model;
step S103: receiving the calculation condition parameters sent by the client, and importing the calculation condition parameters into the finite element model to obtain an analysis model, wherein the calculation condition parameters at least comprise boundary conditions and load information.
Step S104: and sending the analysis model to a cloud computing platform, so that the cloud computing platform performs CAE analysis on the analysis model through a finite element analysis unit to generate result data.
Step S105: and receiving result data fed back by the cloud computing platform, and adjusting the three-dimensional geometric parameters based on the result data to generate a new three-dimensional model.
Specifically, a three-dimensional modeling system, namely a three-dimensional modeling end, is deployed in a local server, and then communication connection is established with a plurality of client sides, so that a user can realize three-dimensional modeling through a browser of the client sides, particularly for a project with multi-user cooperation, only three-dimensional design operation needs to be carried out on the same project, and partial design of the project does not need to be carried out by using a personal computer, and then unified uploading and merging are carried out, so that the three-dimensional modeling efficiency is improved. For example, a user enters a three-dimensional modeling system built in a local server through a web browser in a client, and performs three-dimensional model design of a BIM model (building information model) at a browser end, which essentially transmits three-dimensional geometric parameters (such as height, length, angle and the like) and attribute information (including but not limited to attribute parameters such as material, elastic modulus, poisson ratio, volume weight, compressive strength, shear strength and the like of a target dam section of a gravity dam) related to design to a three-dimensional modeling end through the client, and the three-dimensional modeling end constructs an entity three-dimensional model based on the related parameters. The method is realized based on Revit software built by a three-dimensional modeling end (professional BIM model design software manufactured by Autodesk company), and the BIM model is simplified in the Revit software to a certain extent so as to improve the finite element calculation speed. And then exporting the BIM into an SAT format, reading the exported SAT model file by a three-dimensional modeling end through Hypermesh software (the Hypermesh software is a product of Altair corporation in America and is a CAE application software package with advanced world and powerful functions), compiling a Tcl script to carry out automatic mesh dissection on the model, and forming a finite element model file in an inp format so as to facilitate subsequent CAE analysis.
Then, the user inputs related calculation condition parameters through a client browser, namely the calculation condition parameters sent by the client are received by the three-dimensional modeling end, wherein the calculation condition parameters include but are not limited to boundary conditions and load information for representing a target dam section model. The calculation parameters such as boundary conditions, load information and the like are embedded into the inp file through a Python script to form a complete CAE analysis inp file with both finite element node information and calculation conditions of each node, and the calculation parameters for finite element calculation are led into a finite element model with well-divided meshes, so that an analysis model capable of CAE analysis is obtained. The analysis model is sent to a cloud computing platform, based on a cloud computing technology, an ABAQUS software environment for finite element analysis is built in the cloud computing platform, and the server cluster in the cloud computing platform is used for calculating stress, strain and displacement values of the analysis model, so that the efficiency of the finite element analysis is greatly improved, and the problems of low result efficiency, inaccuracy and the like of the finite element analysis of a third-party mechanism are solved. And finally, adjusting the initial three-dimensional geometric parameters according to the result data fed back by the cloud computing platform. Therefore, in the process of model design, the function of guiding the model design process based on the finite element analysis result is realized, and the accuracy and the reliability of model design are improved.
Specifically, in an embodiment, the step S101 specifically includes the following steps:
the method comprises the following steps: and constructing a three-dimensional model component of the target dam section based on the three-dimensional geometric parameters.
Step two: and performing visual programming based on the three-dimensional model assembly and the attribute information of the target dam section.
Step three: and analyzing the programming result to automatically generate the three-dimensional model.
Specifically, in this embodiment, a three-dimensional model of the target dam segment is constructed by first constructing a three-dimensional model component according to three-dimensional geometric parameters, for example, by using revit software, and constructing a monolithic structure such as a drainage structure and a gallery structure as the three-dimensional model component according to parameters such as length, angle, and width. Then, the embodiment may program the target dam segment with multiple component structures through visual programming software such as Dynamo, grasshopper, and the like, and write the number and specific combination relationship of each component structure. And then adding attribute information in Dynamo, and directly butting and importing the BIM with the attribute information into Revit software, so that the Revit software analyzes a programming result and automatically generates an accurate and reliable three-dimensional model.
Specifically, in an embodiment, before step S104, the method for analyzing the CAE integration of the concrete gravity dam according to the embodiment of the present invention further includes the following steps:
step four: and importing the attribute information into the analysis model. Specifically, since partial attribute information is lost when the mesh subdivision is performed on the three-dimensional model through Hypermesh software, the attribute information is also imported into the analysis model again before the analysis model is sent to the cloud computing platform, so that the accuracy of finite element CAE analysis is further improved.
Specifically, in an embodiment, the result data fed back by the cloud platform computing includes a result graph and a result data table, and the method for analyzing the CAE integration of the concrete gravity dam further includes the following steps:
step five: and sending the result data table and the result graph to the client so that the client can display the result data table and the result graph.
Specifically, in the present embodiment, the odb result file in the ABAQUS can be called using the odb type function in the ABAQUS. And writing a Python script and outputting the odb result file as Excel calculation result data. And simultaneously, the three-dimensional modeling terminal respectively calls a result graph file stored in a cloud server ABAQUS and an exported Excel result data file by using a Javascript. The method comprises the steps that a result graph file is a screenshot of a three-dimensional finite element calculation result, the screenshot supports direct acquisition of a docking API interface in ABAQUS software, and the screenshot angle, the screenshot threshold color and the like can be set through related parameters, so that the stress value, the strain value, the displacement amount and the like of each position of a target dam section are reflected. And the cloud computing platform feeds the generated CAE computing result graph back to the three-dimensional modeling terminal. The client can be connected with the three-dimensional modeling end through the browser to receive the result data table and the result graph sent by the three-dimensional modeling end and check the CAE analysis result graph file and the Excel result data in real time. According to the result graph file and the Excel data sheet, a user can more intuitively change and adjust parameters of design parameters which are unreasonable in design and do not accord with design specifications, and the accuracy of design of the gravity dam scheme is further improved.
Specifically, in an embodiment, the method for analyzing the CAE integration of the concrete gravity dam according to the embodiment of the present invention further includes the following steps:
step six: and returning to the step of automatically meshing the three-dimensional model to form a finite element model, and carrying out iterative CAE analysis based on the new three-dimensional model until the preset times are returned. Specifically, in this embodiment, the CAE cloud analysis and calculation is performed on the BIM model with the changed parameters again, so that the three-dimensional design parameters are continuously optimized through loop iteration, and finally, a more reasonable three-dimensional BIM design result is formed. Therefore, the problems that the finite element analysis efficiency is low and the work cannot be guided in the prior art are solved in the process of applying the finite element analysis and the design scheme of the gravity dam, and the accuracy of the design of the gravity dam is improved.
Specifically, in an embodiment, the calculating condition parameters further include working conditions, and the method for analyzing the CAE integration of the concrete gravity dam according to the embodiment of the present invention further includes the following steps:
step seven: and adjusting the working conditions to enable the cloud computing platform to generate corresponding result data under a plurality of working conditions. Specifically, in this embodiment, the calculation condition parameters of the finite element model are introduced further include working conditions, such as a water level position and a temperature condition of an environment where the gravity dam is located, and different stresses, strains and displacement amounts of the gravity dam are brought by different working conditions, so that analysis result data under different working conditions are obtained by adjusting the working conditions, and further the target dam section designed by the model designer is assisted to meet multidimensional conditions, thereby further improving the accuracy of model design.
Specifically, in an embodiment, the three-dimensional modeling terminal is deployed with a first database and a second database, the first database is used for storing attribute information and calculation condition parameters, and the second database is used for storing three-dimensional geometric parameters. Specifically, the first database and the second database are arranged on the local server where the three-dimensional modeling end is located, so that the retention of multiple version parameters is guaranteed, the reliability of model design is further improved, and the problems that the version backtracking cannot be carried out due to model design errors and the like are avoided.
Through the steps, according to the technical scheme provided by the application, the three-dimensional modeling system, namely the three-dimensional modeling end, is deployed in the local server and is in communication connection with the plurality of client sides, so that a user can realize three-dimensional modeling through a browser of the client sides, particularly for a project of multi-user cooperation, model statistics designed by each user do not need to be uploaded and then combined, and the efficiency of three-dimensional modeling is improved. After receiving the three-dimensional geometric parameters and the attribute information of the target dam section, which are sent by the client, the three-dimensional modeling end builds a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information; then, carrying out automatic mesh generation on the three-dimensional model to form a finite element model; and then, the user operates at the client to enable the client to send the calculation condition parameters to the three-dimensional modeling end, and the three-dimensional modeling end imports the calculation condition parameters into the finite element model to obtain an analysis model capable of carrying out finite element analysis. In order to improve CAE analysis efficiency and closely combine finite element analysis and model design work, a software unit for finite element analysis is deployed on a cloud computing platform by means of a cloud computing technology, and an analysis model is sent to the cloud computing platform by a local server so that the cloud computing platform performs CAE analysis on the analysis model through the finite element analysis unit to generate result data; and the local server receives result data fed back by the cloud computing platform, and adjusts the three-dimensional geometric parameters based on the result data to generate a new three-dimensional model. Therefore, the close combination of the finite element analysis and the model design process is realized, the problem that the analysis result is only used for verification and can not guide the design work due to the fact that the finite element analysis is carried out by means of a third party in the prior art is solved, and the accuracy and the reliability of the model design are improved.
As shown in fig. 4, this embodiment further provides a concrete gravity dam CAE integrated analysis apparatus, which is applied to a three-dimensional modeling end, where the three-dimensional modeling end establishes communication connection with a plurality of clients, the three-dimensional modeling end establishes communication connection with a cloud computing platform, and the cloud computing platform deploys a finite element analysis unit, where the apparatus includes:
and the three-dimensional model building module 101 is configured to receive the three-dimensional geometric parameters and the attribute information of the target dam segment sent by the client, and build a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information. For details, refer to the related description of step S101 in the above method embodiment, and no further description is provided here.
And the mesh generation module 102 is used for performing automatic mesh generation on the three-dimensional model to form a finite element model. For details, refer to the related description of step S102 in the above method embodiment, and no further description is provided here.
And the parameter importing module 103 is configured to receive the calculation condition parameters sent by the client, and import the calculation condition parameters into the finite element model to obtain an analysis model, where the calculation condition parameters at least include boundary conditions and load information. For details, refer to the related description of step S103 in the above method embodiment, and no further description is provided here.
And the finite element analysis module 104 is used for sending the analysis model to the cloud computing platform, so that the cloud computing platform performs CAE analysis on the analysis model through the finite element analysis unit to generate result data. For details, refer to the related description of step S104 in the above method embodiment, and no further description is provided here.
And the adjusting module 105 is configured to receive result data fed back by the cloud computing platform, and adjust the three-dimensional geometric parameters based on the result data to generate a new three-dimensional model. For details, refer to the related description of step S105 in the above method embodiment, and no further description is provided here.
The concrete gravity dam CAE integrated analysis device provided by the embodiment of the invention is used for executing the concrete gravity dam CAE integrated analysis method provided by the embodiment, the implementation manner and the principle of the concrete gravity dam CAE integrated analysis device are the same, and the detailed content refers to the related description of the method embodiment, and is not described again.
Through the cooperative cooperation of the components, the technical scheme provided by the application establishes communication connection with a plurality of clients by deploying the three-dimensional modeling system, namely the three-dimensional modeling end, in the local server, so that a user can realize three-dimensional modeling through a browser of the client, and particularly aiming at a project of multi-user cooperation, model statistics designed by each user does not need to be uploaded and then combined, and the efficiency of three-dimensional modeling is improved. After receiving the three-dimensional geometric parameters and the attribute information of the target dam section, which are sent by the client, the three-dimensional modeling end builds a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information; then, carrying out automatic mesh generation on the three-dimensional model to form a finite element model; and then, the user operates at the client to enable the client to send the calculation condition parameters to the three-dimensional modeling end, and the three-dimensional modeling end imports the calculation condition parameters into the finite element model to obtain an analysis model capable of carrying out finite element analysis. In order to improve CAE analysis efficiency and closely combine finite element analysis and model design work, a software unit for finite element analysis is deployed on a cloud computing platform by means of a cloud computing technology, and an analysis model is sent to the cloud computing platform by a local server so that the cloud computing platform performs CAE analysis on the analysis model through the finite element analysis unit to generate result data; and the local server receives result data fed back by the cloud computing platform, and adjusts the three-dimensional geometric parameters based on the result data to generate a new three-dimensional model. Therefore, the close combination of the finite element analysis and the model design process is realized, the problem that the analysis result is only used for verification and can not guide the design work due to the fact that the finite element analysis is carried out by means of a third party in the prior art is solved, and the accuracy and the reliability of the model design are improved.
Fig. 5 shows an electronic device according to an embodiment of the present invention, where the device includes a processor 901 and a memory 902, which may be connected via a bus or in another manner, and fig. 5 illustrates an example of a connection via a bus.
Processor 901 may be a Central Processing Unit (CPU). The Processor 901 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 902, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the methods in the above-described method embodiments. The processor 901 executes various functional applications and data processing of the processor by executing non-transitory software programs, instructions and modules stored in the memory 902, that is, implements the methods in the above-described method embodiments.
The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 901, and the like. Further, the memory 902 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 902 may optionally include memory located remotely from the processor 901, which may be connected to the processor 901 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 902, which when executed by the processor 901 performs the methods in the above-described method embodiments.
The specific details of the electronic device may be understood by referring to the corresponding related descriptions and effects in the above method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, and the implemented program can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims (10)

1. A CAE integrated analysis method for a concrete gravity dam is applied to a three-dimensional modeling end, the three-dimensional modeling end is in communication connection with a plurality of client sides, the three-dimensional modeling end is in communication connection with a cloud computing platform, the cloud computing platform is provided with a finite element analysis unit, and the method comprises the following steps:
receiving three-dimensional geometric parameters and attribute information of a target dam section, which are sent by a client, and constructing a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information;
carrying out automatic mesh generation on the three-dimensional model to form a finite element model;
receiving a calculation condition parameter sent by a client, and importing the calculation condition parameter into the finite element model to obtain an analysis model, wherein the calculation condition parameter at least comprises one of boundary conditions and load information;
sending the analysis model to the cloud computing platform so that the cloud computing platform performs CAE analysis on the analysis model through the finite element analysis unit to generate result data;
and receiving the result data fed back by the cloud computing platform, and adjusting the three-dimensional geometric parameters based on the result data to generate a new three-dimensional model.
2. The method of claim 1, wherein constructing the corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information comprises:
constructing a three-dimensional model component of the target dam section based on the three-dimensional geometric parameters;
performing visual programming based on the three-dimensional model assembly and the attribute information of the target dam section;
and analyzing the programming result to automatically generate the three-dimensional model.
3. The method of claim 1, wherein prior to said sending the analytical model to the cloud computing platform, the method further comprises:
and importing the attribute information into the analysis model.
4. The method of claim 1, wherein the results data comprises a results graph and a results data table, the method further comprising:
and sending the result data table and the result graph to a client so that the client can display the result data table and the result graph.
5. The method of claim 1, wherein after generating the new three-dimensional model, the method further comprises:
and returning to the step of performing automatic mesh generation on the three-dimensional model to form a finite element model, and performing iterative CAE analysis on the basis of the new three-dimensional model until the preset times are returned.
6. The method of claim 1, wherein the calculated condition parameters further include operating conditions, the method further comprising:
and adjusting the working conditions to enable the cloud computing platform to generate corresponding result data under a plurality of working conditions.
7. The method according to claim 1, wherein the three-dimensional modeling terminal is deployed with a first database and a second database, the first database is used for storing the attribute information and the calculation condition parameters, and the second database is used for storing the three-dimensional geometric parameters.
8. The CAE integrated analysis device for the concrete gravity dam is applied to a three-dimensional modeling end, the three-dimensional modeling end is in communication connection with a plurality of client sides, the three-dimensional modeling end is in communication connection with a cloud computing platform, the cloud computing platform is provided with a finite element analysis unit, and the CAE integrated analysis device comprises:
the three-dimensional model building module is used for receiving three-dimensional geometric parameters and attribute information of a target dam section sent by a client side and building a corresponding three-dimensional model based on the three-dimensional geometric parameters and the attribute information;
the mesh generation module is used for carrying out automatic mesh generation on the three-dimensional model to form a finite element model;
the parameter import module is used for receiving the calculation condition parameters sent by the client and importing the calculation condition parameters into the finite element model to obtain an analysis model, wherein the calculation condition parameters at least comprise one of boundary conditions and load information;
the finite element analysis module is used for sending the analysis model to the cloud computing platform so that the cloud computing platform performs CAE analysis on the analysis model through the finite element analysis unit to generate result data;
and the adjusting module is used for receiving the result data fed back by the cloud computing platform and adjusting the three-dimensional geometric parameters based on the result data so as to generate a new three-dimensional model.
9. An electronic device, comprising:
a memory and a processor communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of any of claims 1-7.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to thereby perform the method of any one of claims 1-7.
CN202210297774.XA 2022-03-25 2022-03-25 Concrete gravity dam CAE integrated analysis method and device and electronic equipment Withdrawn CN114398711A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210297774.XA CN114398711A (en) 2022-03-25 2022-03-25 Concrete gravity dam CAE integrated analysis method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210297774.XA CN114398711A (en) 2022-03-25 2022-03-25 Concrete gravity dam CAE integrated analysis method and device and electronic equipment

Publications (1)

Publication Number Publication Date
CN114398711A true CN114398711A (en) 2022-04-26

Family

ID=81234731

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210297774.XA Withdrawn CN114398711A (en) 2022-03-25 2022-03-25 Concrete gravity dam CAE integrated analysis method and device and electronic equipment

Country Status (1)

Country Link
CN (1) CN114398711A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI812473B (en) * 2022-09-19 2023-08-11 英業達股份有限公司 Adaptive grid generating method and adaptive grid generating system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110704895A (en) * 2019-09-05 2020-01-17 中国十七冶集团有限公司 Three-dimensional analysis platform-based parametric modeling method for retaining wall
CN111161410A (en) * 2019-12-30 2020-05-15 中国矿业大学(北京) Mine digital twinning model and construction method thereof
CN111208759A (en) * 2019-12-30 2020-05-29 中国矿业大学(北京) Digital twin intelligent monitoring system for unmanned fully mechanized coal mining face of mine

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110704895A (en) * 2019-09-05 2020-01-17 中国十七冶集团有限公司 Three-dimensional analysis platform-based parametric modeling method for retaining wall
CN111161410A (en) * 2019-12-30 2020-05-15 中国矿业大学(北京) Mine digital twinning model and construction method thereof
CN111208759A (en) * 2019-12-30 2020-05-29 中国矿业大学(北京) Digital twin intelligent monitoring system for unmanned fully mechanized coal mining face of mine

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘月: "基于BIM的重力坝参数化设计研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》, 15 February 2021 (2021-02-15), pages 26 - 27 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI812473B (en) * 2022-09-19 2023-08-11 英業達股份有限公司 Adaptive grid generating method and adaptive grid generating system

Similar Documents

Publication Publication Date Title
JP7210531B2 (en) neural architecture search
CN114861576B (en) Simulation method and device for superconducting quantum chip layout, electronic equipment and medium
CN109918796A (en) A kind of multidisciplinary collaboration analogue system and method
US20200151952A1 (en) Three-dimensional mesh deformation using deep learning neural networks
JP2022516926A (en) Systems and methods for optimizing the physical properties of electromagnetic devices
CN103593513A (en) CAE data and full-scale experiment data uniform reading and lightweight display tool
AU2017254506A1 (en) Method, apparatus, computing device and storage medium for data analyzing and processing
CN115427968A (en) Robust artificial intelligence reasoning in edge computing devices
CN114398711A (en) Concrete gravity dam CAE integrated analysis method and device and electronic equipment
CN115657467A (en) Wind power plant wake flow control optimization method, device, equipment and storage medium
US11651198B2 (en) Data processing method and apparatus for neural network
US20150363512A1 (en) System and method for optimizing connector design
Sooknanan et al. GPU computing using CUDA in the deployment of smart grids
CN109448120A (en) Processing method, device and the computer equipment of three-dimensional building model
WO2023179379A1 (en) Simulation method and system for nonlinear delay circuit system, and medium
US20200371843A1 (en) Framework for application driven exploration and optimization of hardware engines
US10706193B1 (en) Computer processing during simulation of a circuit design
CN116191404A (en) Distributed power generation prediction method and device, electronic equipment and storage medium
Meng et al. How to avoid zero-spacing in fractionally-strided convolution? a hardware-algorithm co-design methodology
CN111143208B (en) Verification method for assisting FPGA to realize AI algorithm based on processor technology
US9892227B1 (en) Systems, methods and storage media for clock tree power estimation at register transfer level
CN113821874A (en) Ship equipment modeling method and system based on virtual-real interaction and readable storage medium
CN105095538B (en) The dimensionally-optimised system and method for connector
CN117172161B (en) Flow field simulation method and device, computer equipment and storage medium
CN109670601B (en) Machine learning feature generation method and device, electronic device and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication

Application publication date: 20220426

WW01 Invention patent application withdrawn after publication