CN113468697A - Forward design method for steel frame structure of photovoltaic plate - Google Patents

Forward design method for steel frame structure of photovoltaic plate Download PDF

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CN113468697A
CN113468697A CN202111029194.4A CN202111029194A CN113468697A CN 113468697 A CN113468697 A CN 113468697A CN 202111029194 A CN202111029194 A CN 202111029194A CN 113468697 A CN113468697 A CN 113468697A
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CN113468697B (en
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王士涛
董小虎
吴坤
佘昊
周俊兵
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Arctech Solar Holding Co Ltd
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Abstract

The invention relates to the technical field of photovoltaics, and provides a forward design method of a steel frame structure of a photovoltaic plate, which comprises the following steps: analyzing the user use environment and the engineering information of the actual requirements of the photovoltaic plate steel frame to obtain the target value of each working condition; generating an initial design model of the photovoltaic plate steel frame according to a plurality of target values, and geometric information and boundary physical parameters preset by the photovoltaic plate steel frame; performing form optimization on the initial design model by using a multi-working-condition topological optimization technology and a compromise weight method to obtain an initial topological optimization structure of the photovoltaic plate steel frame; and establishing an approximate parameterized model according to the initial topological optimization structure, and carrying out size optimization on the approximate parameterized model to obtain a target topological optimization structure of the photovoltaic plate steel frame, which meets the target value. The forward design method of the invention shortens the design and production period of the steel frame structure of the photovoltaic plate and reduces the cost.

Description

Forward design method for steel frame structure of photovoltaic plate
Technical Field
The invention relates to the technical field of photovoltaics, in particular to a forward design method for a steel frame structure of a photovoltaic plate.
Background
The solar photovoltaic panel frame is made of the section steel material, so that the investment cost can be greatly reduced, the mechanical properties such as strength and the like can be obviously improved, but the number of steel frame products on the market is few and few at present, and no good design scheme exists exactly for the reason, so that the product cannot be recognized by a user.
Meanwhile, a designer of the engineering needs to have rich design experience, and a designer of the engineering needs to have rich design experience when designing a forward design. In the early stage of forward design, a great deal of planning work is required, and the design is continuously corrected and optimally adjusted. According to the current state of China, in order to quickly obtain the return for the engineering project, the period of the project is short, and the designed period is also compressed to be tight.
Disclosure of Invention
The invention provides a forward design method of a steel frame structure of a photovoltaic plate, aiming at solving the problems.
In order to achieve the above object of the present invention, the present invention is achieved by the following techniques:
the invention provides a forward design method of a steel frame structure of a photovoltaic plate, which comprises the following steps:
analyzing the user use environment and the engineering information of the actual requirements of the photovoltaic plate steel frame to obtain the target value of each working condition;
generating an initial design model of the photovoltaic plate steel frame according to a plurality of target values, and geometric information and boundary physical parameters preset by the photovoltaic plate steel frame;
performing form optimization on the initial design model by using a multi-working-condition topological optimization technology and a compromise weight method to obtain an initial topological optimization structure of the photovoltaic plate steel frame;
and establishing an approximate parameterized model according to the initial topological optimization structure, and carrying out size optimization on the approximate parameterized model to obtain a target topological optimization structure of the photovoltaic plate steel frame, which meets the target value.
Further preferably, before the performing form optimization on the initial design model by using a multi-condition topology optimization technology and a compromise weight method to obtain an initial topology optimization structure of the photovoltaic panel steel frame, the method further includes:
and defining unit information according to the initial design model, assigning the units, and setting an optimization area and a non-optimization area for the initial design model.
Further preferably, the performing morphological optimization on the initial design model by using a multi-condition topological optimization technology and a compromise weight method to obtain the initial topological optimization structure of the photovoltaic panel steel frame includes:
defining optimization problem information by adopting the multi-working-condition topology optimization technology;
and solving the optimization problem information through the compromise weight-guiding method to obtain an initial topological optimization structure of the photovoltaic panel steel frame.
Further preferably, the defining optimization problem information by using the multi-condition topology optimization technology includes:
the optimization problem information comprises design variables, working conditions, constraint conditions and optimization targets, and is calculated as follows:
Figure 463579DEST_PATH_IMAGE001
Figure 870290DEST_PATH_IMAGE002
Figure 899426DEST_PATH_IMAGE003
wherein x is a design variable;U sum (X) is the total objective function and,U j (X) is an objective function under the j working condition, wherein the objective function comprises an intensity objective function, a rigidity objective function, a stability objective function, a displacement objective function and a frequency objective function;w j is a weight factor, J is a working condition number; g (x) is a constraint function including a mass constraint function, a volume constraint function.
Further preferably, the solving the optimization problem information by the compromise weight-guiding method to obtain the initial topological optimization structure of the photovoltaic panel steel frame includes:
Figure 202231DEST_PATH_IMAGE004
Figure 418449DEST_PATH_IMAGE005
wherein,Sto trade off total weight;S i is called asx i The trade-off of (2) is weight;αis a step size factor;H i is called asx i Volume weight of (d);kis the step length;pis a penalty factor, andp≥2;ηis a weight factor.
Further preferably, the establishing an approximate parameterized model according to the topological optimization structure, and performing size optimization on the approximate parameterized model to obtain the target topological optimization structure of the photovoltaic panel steel frame, which meets the target value, includes:
performing initial performance analysis on the approximate parameterized model by using finite element software;
selecting size optimization design variables, defining response, constraint conditions and optimization target associated design variables and attributes through finite element software; and performing optimization calculation to iteratively update the design variables to obtain the target topology optimization structure.
Further preferably, the method further comprises the following steps:
performing performance analysis on the corresponding intermediate topological optimization structure when the design variables are updated iteratively;
when the performance of the intermediate topological optimization structure meets the target value, the intermediate topological optimization structure is a target topological optimization structure;
and returning to continue the optimization solution when the performance of the intermediate topological optimization structure does not meet the target value.
Further preferably, the method further comprises the following steps:
and establishing different finite element models according to different combination forms and use environments of the target topological optimization structure, and performing mechanical performance simulation analysis and evaluation on the target topological optimization structure.
It is further preferred that the first and second liquid crystal compositions,
the combination form of the target topological optimization structure comprises the following steps: bending, riveting and welding for the first time.
Further preferably, the manufacturing of the sample according to the target topological optimization structure for the physical test to obtain the optimal photovoltaic plate steel frame structure includes:
sampling and analyzing a process sample corresponding to the target topological optimization structure, and verifying attribute information of the process sample so as to predict variable factors of the target topological optimization structure in batch production;
the attribute information of the process sample comprises process design, process flow, tools, equipment and parameters.
The forward design method of the photovoltaic plate steel frame structure provided by the invention at least has the following beneficial effects: according to the invention, through user requirement research and analysis, concept design, detailed design, simulation and physical test, small batch trial production and final finished product formation, not only can a product satisfied by a user be obtained, but also the research and development period of the frame structure of the solar photovoltaic panel is greatly reduced, and the technical and economic performance of the frame structure is improved.
Drawings
The above features, technical characteristics, advantages and implementation manners of the forward design method of the steel frame structure of the photovoltaic panel will be further described in a clear and understandable manner by referring to the following preferred embodiments and the accompanying drawings.
FIG. 1 is a schematic diagram of one embodiment of a forward design method for a steel frame structure of a photovoltaic panel in accordance with the present invention;
FIG. 2 is a route diagram of a solar photovoltaic steel frame forward design module in the invention;
FIG. 3 is a flow diagram of a concept design module of the present invention;
FIG. 4 is a front view of a topology optimization and a representation of a non-optimized area in the present invention;
FIG. 5 is a view of optimizing topology optimization morphology in the present invention;
FIG. 6 is a flow diagram of a detailed design module of the present invention;
fig. 7 is a schematic diagram of an embodiment of a forward design apparatus of a steel frame structure of a photovoltaic panel in the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
For the sake of simplicity, the drawings only schematically show the parts relevant to the present invention, and they do not represent the actual structure as a product. In addition, in order to make the drawings concise and understandable, components having the same structure or function in some of the drawings are only schematically illustrated or only labeled. In this document, "one" means not only "only one" but also a case of "more than one".
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In addition, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not intended to indicate or imply relative importance.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will be made with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
Example one
In an embodiment of the present invention, as shown in fig. 1, the present invention provides a forward design method of a photovoltaic panel steel frame structure, including:
s100, analyzing the use environment of a user and the engineering information of the actual requirements of the steel frame of the photovoltaic plate, and obtaining the target value of each working condition.
Specifically, on-site environment and user requirements of a solar photovoltaic panel steel frame structure are investigated, basic data meeting the user requirements are collected, preset geometric information and boundary physical parameters are obtained by processing the data, working condition engineering conditions are analyzed, and target values of all working conditions are determined. The basic data includes: the appearance (frame size, cross-sectional form) of product, anticorrosive requirement (corrosion resistance), mounting means and a whole set of weight, the operating mode includes: mainly torsion, bending, load and wind induced vibrations.
S200, generating an initial design model of the photovoltaic plate steel frame according to the target values, the geometric information preset by the photovoltaic plate steel frame and the boundary physical parameters.
Specifically, the method is characterized by digital modeling, and converting geometric information and boundary physical parameters required by a user into a three-dimensional CAE model.
S300, performing form optimization on the initial design model by using a multi-working-condition topological optimization technology and a compromise weight method to obtain an initial topological optimization structure of the photovoltaic plate steel frame.
Specifically, a multi-working condition topology optimization technology is adopted to carry out concept design so as to find out the optimal section form of the photovoltaic plate steel frame; and solving the multi-working-condition topology optimization problem by using a compromise weight-guiding method. The finite element models were all simulated using solid elements with mesh sizes between 1-10 mm.
S400, establishing an approximate parameterized model according to the initial topological optimization structure, and carrying out size optimization on the approximate parameterized model to obtain a target topological optimization structure of the photovoltaic plate steel frame, which meets the target value.
Specifically, a size optimization method is adopted for detailed design. Firstly, establishing an approximate parameterized model according to the obtained topological optimization form, and directly adopting finite element software to perform initial performance analysis. And then selecting size optimization design variables (thickness, area and the like) through finite element software, defining response, constraint and optimization targets, and associating the design variables and attributes. And then carrying out optimization solution calculation and iteratively updating design variables. And finally, processing the obtained optimization result, then performing performance analysis, ending if the optimization result meets the requirements, and returning to continue optimization solution if the optimization result does not meet the requirements.
The invention provides a forward design method of a solar photovoltaic panel steel frame structure based on user requirements, aiming at the problems in the design and development process of the solar photovoltaic panel frame structure. The invention can not only obtain a product satisfied by a user, but also greatly reduce the research and development period of the frame structure of the solar photovoltaic panel and improve the technical and economic performance of the frame structure.
Example two
Based on the above embodiments, the same parts as those in the above embodiments are not repeated in detail in this embodiment, and this embodiment provides a forward design method for a steel frame structure of a photovoltaic panel, as shown in fig. 2 to 6, which specifically includes:
s100, analyzing the use environment of a user and the engineering information of the actual requirements of the steel frame of the photovoltaic plate, and obtaining the target value of each working condition.
Specifically, on-site environment and user requirements of a solar photovoltaic panel steel frame structure are investigated, basic data meeting the user requirements are collected, preset geometric information and boundary physical parameters are obtained by processing the data, working condition engineering conditions are analyzed, and target values of all working conditions are determined. The basic data includes: the appearance (frame size, cross-sectional form) of product, anticorrosive requirement (corrosion resistance), mounting means and a whole set of weight, the operating mode includes: mainly torsion, bending, load and wind induced vibrations.
S200, generating an initial design model of the photovoltaic plate steel frame according to the target values, the geometric information preset by the photovoltaic plate steel frame and the boundary physical parameters.
Specifically, the method comprises the steps of digital modeling, and converting geometric information and boundary physical parameters required by a user into a three-dimensional CAE model, namely the initial design model.
Before the step S300 of performing form optimization on the initial design model by using a multi-condition topology optimization technique and a compromise weight method to obtain an initial topology optimization structure of the photovoltaic panel steel frame, the method further includes:
defining unit information and assigning units according to the initial design model, setting an optimization area and a non-optimization area of the initial design model, establishing boundary conditions according to the target values of all working conditions obtained in S100, and defining optimization solution targets and engineering manufacturing constraints.
Step S300, performing form optimization on the initial design model by using a multi-working-condition topological optimization technology and a compromise weight method to obtain an initial topological optimization structure of the photovoltaic plate steel frame, wherein the method comprises the following steps:
and defining optimization problem information by adopting the multi-working-condition topology optimization technology.
Specifically, the defining of the optimization problem information by using the multi-condition topology optimization technology includes:
the optimization problem information comprises design variables, working conditions, constraint conditions and optimization targets, and is calculated as follows:
Figure 832113DEST_PATH_IMAGE006
Figure 715755DEST_PATH_IMAGE007
Figure 189462DEST_PATH_IMAGE008
wherein x is a design variable;U sum (X) is the total objective function and,U j (X) is an objective function under the j working condition, wherein the objective function represents the quantity of the structural performance and comprises an intensity objective function, a rigidity objective function, a stability objective function, a displacement objective function and a frequency objective function;w j is a weight factor, J is a working condition number; g (x) is a constraint function characterized by the amount of structural material used, including a mass constraint function, a volume constraint function.
Solving the optimization problem information through the compromise weight-guiding method, obtaining different weight influence factors according to the importance of each working condition through the compromise weight-guiding method, and effectively combining the problems of each working condition to solve so as to obtain the initial topological optimization structure of the photovoltaic panel steel frame.
Specifically, the solving of the optimization problem information by the compromise weight-guided method to obtain the initial topological optimization structure of the photovoltaic panel steel frame includes:
Figure 158555DEST_PATH_IMAGE009
Figure 110330DEST_PATH_IMAGE010
wherein,Sto trade off total weight;S i is called asx i The trade-off of (2) is weight;αis a step size factor;H i is called asx i Volume weight of (d);kis the step length;pis a penalty factor, andp≥2;ηis a weight factor.
Step S400, establishing an approximate parameterized model according to the initial topological optimization structure, and performing size optimization on the approximate parameterized model to obtain a target topological optimization structure of the photovoltaic panel steel frame, which meets the target value, and comprises the following steps:
and carrying out initial performance analysis on the approximate parameterized model by adopting finite element software.
Specifically, an approximate parameterized model is established based on the initial topological optimization structure, and finite element software is adopted to perform initial performance analysis of the initial topological optimization structure.
Selecting size optimization design variables, defining response, constraint conditions and optimization target association design variables and attributes through finite element software, and performing optimization calculation to iteratively update the design variables to obtain the target topology optimization structure.
In this embodiment, the method further includes:
performing performance analysis on the corresponding intermediate topological optimization structure when the design variables are updated iteratively;
when the performance of the intermediate topological optimization structure meets the target value, the intermediate topological optimization structure is a target topological optimization structure;
and returning to continue the optimization solution when the performance of the intermediate topological optimization structure does not meet the target value.
In this embodiment, the method further includes:
and establishing different finite element models according to different combination forms and use environments of the target topological optimization structure, and performing mechanical performance simulation analysis and evaluation on the target topological optimization structure through finite element software.
Wherein, the combination form of the target topological optimization structure comprises: bending, riveting and welding for the first time.
In this embodiment, the method further includes:
and sampling and analyzing the process sample corresponding to the target topological optimization structure, and verifying the attribute information of the process sample so as to predict variable factors of the target topological optimization structure in batch production.
The attribute information of the process sample comprises process design, process flow, tools, equipment and parameters.
Illustratively, as shown in fig. 2, a method for forward designing a steel frame structure of a solar photovoltaic panel based on user requirements includes the following steps: and (4) researching, collecting and analyzing the user requirements, then carrying out concept design, detailed design, simulation/physical experiment and small batch trial production, and finally obtaining a finished product.
Step 1: the method comprises the steps of investigating the field environment and user requirements of the solar photovoltaic panel steel frame structure, collecting basic data meeting the user requirements, processing the data, analyzing engineering conditions such as working conditions and loads, and determining target values of the working conditions.
Step 2: performing digital modeling, namely converting geometric information and boundary physical parameters required by a user into a three-dimensional CAE model; simultaneously setting a non-optimized area; carrying out concept design by adopting a multi-working-condition topology optimization technology; solving the multi-working-condition topological optimization problem by using a compromise weight guiding method; the finite element models were all simulated using solid elements with mesh sizes between 1-10 mm.
Exemplarily, as shown in fig. 3, an initial design model, a unit definition, an optimization region and a non-optimization region are established; defining an optimization problem: establishing design variables, working conditions, constraint conditions and optimization targets; carrying out sensitivity analysis according to an iterative formula; continuously updating design variables; and judging whether convergence is carried out or not, extracting the optimal layout form when convergence is carried out, and returning to sensitivity analysis when not convergence is carried out. The non-optimized part as shown in fig. 4 and the optimized graph of the topology optimized morphology as shown in fig. 5.
The multi-working-condition topology optimization technology specifically comprises the following steps:
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wherein,xis a design variable;U sum (X) is the total objective function and,U j (X) isjThe objective function under the operating conditions, usually characterizing the structural properties, such as strength, stiffness, stability, displacement, frequency, etc.,w j in order to be a weight factor, the weight factor,Jthe number of working conditions; g (x) is a constraint function that generally characterizes the amount of structural material used, e.g., mass, volume.
The weight method iteration formula:
Figure 552474DEST_PATH_IMAGE012
Figure 8864DEST_PATH_IMAGE013
wherein,Sin order to trade-off the total weight loss,S i is called asx i The trade-off of (2) is weight;αfor the purpose of the step-size factor,H i is called asx i The volume weight of (a) is,kis the step length;pis a penalty factor, andp≥2,ηis a weight factor.
And extracting an optimization result to obtain a topology optimization form.
And step 3: and a size optimization method is adopted for detailed design.
Firstly, establishing an approximate parameterization model according to the topological optimization form obtained in the step 2, and carrying out initial performance analysis; selecting a size optimization design variable, defining response, constraint and target, and associating the design variable and attribute; then carrying out optimization calculation and iteratively updating design variables; and finally, processing the obtained optimization result, then performing performance analysis, ending if the optimization result meets the requirements, and returning to continue optimization solution if the optimization result does not meet the requirements.
Illustratively, as shown in fig. 6, an approximate parametric design model (a model extracted at a conceptual design module) and an initial performance analysis are established; defining size optimization design variables, responses, constraints and targets; carrying out optimization solution; and then updating the design variables, outputting an optimization result and comparing the performance before and after optimization, judging whether the performance standard is met, and outputting the optimization result if the performance standard is met.
And 4, step 4: simulation and physical test; the final optimized structure is designed by combining a real use environment and a process technology, the steel frame can be formed by one-time bending or by combining riveting, welding and other forms according to the structural characteristics of the steel frame, a finite element model is established according to different modes, and the mechanical properties of static, dynamic and the like of the finite element model are simulated, analyzed and evaluated; and samples were prepared for physical testing (including static and dynamic properties).
And 5: and (3) trial production in small batches, wherein the product process design, the process flow, the tool, the equipment and the parameters are mainly verified, so that variable factors in the batch production process are predicted.
Step 6: and manufacturing a finished product according to the finally designed steel frame structure.
Wherein, the final designed finished product processing mode is formed by riveting or welding.
In the embodiment, the invention provides a forward design method of a solar photovoltaic panel steel frame structure based on user requirements, aiming at the problems. The method starts from the requirements of users, adopts advanced and innovative forward design means to develop the optimal design of the frame structure of the solar photovoltaic panel, and finally obtains the finished product satisfied by the users. The design method of the invention is different from the traditional repeated similar and trial empirical design or simulation method, greatly reduces the research and development period of the frame structure, improves the technical and economic performance and enhances the independent research and development capability.
EXAMPLE III
Based on the foregoing embodiment, the same parts as those in the foregoing embodiment are not repeated in detail in this embodiment, and this embodiment provides a forward design apparatus for a steel frame structure of a photovoltaic panel, as shown in fig. 7, including:
and the analysis module 701 is used for analyzing the user using environment and the engineering information of the actual requirements of the photovoltaic plate steel frame, and acquiring the target value of each working condition.
A generating module 702, configured to generate an initial design model of the photovoltaic panel steel frame according to preset geometric information and boundary physical parameters.
An initial module 703, configured to perform morphological optimization on the initial design model by using a multi-condition topological optimization technique and a compromise weight method, to obtain an initial topological optimization structure of the photovoltaic panel steel frame.
And the target module 704 is used for establishing an approximate parameterized model according to the initial topological optimization structure, and performing size optimization on the approximate parameterized model to obtain a target topological optimization structure of the photovoltaic panel steel frame, which meets the target value.
In the embodiment, the invention provides a forward design method of a solar photovoltaic panel steel frame structure based on user requirements, aiming at the problems. The method starts from the requirements of users, adopts advanced and innovative forward design means to develop the optimal design of the frame structure of the solar photovoltaic panel, and finally obtains the finished product satisfied by the users. The design method of the invention is different from the traditional repeated similar and trial empirical design or simulation method, greatly reduces the research and development period of the frame structure, improves the technical and economic performance and enhances the independent research and development capability.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of program modules is illustrated, and in practical applications, the above-described distribution of functions may be performed by different program modules, that is, the internal structure of the apparatus may be divided into different program units or modules to perform all or part of the above-described functions. Each program module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one processing unit, and the integrated unit may be implemented in a form of hardware, or may be implemented in a form of software program unit. In addition, the specific names of the program modules are only used for distinguishing the program modules from one another, and are not used for limiting the protection scope of the application.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or recited in detail in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely exemplary, and the division of the modules or units is merely an example of a logical division, and there may be other divisions when the actual implementation is performed, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
It should be noted that the above embodiments can be freely combined as necessary. The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A forward design method of a photovoltaic plate steel frame structure is characterized by comprising the following steps:
analyzing the user use environment and the engineering information of the actual requirements of the photovoltaic plate steel frame to obtain the target value of each working condition;
generating an initial design model of the photovoltaic plate steel frame according to a plurality of target values, and geometric information and boundary physical parameters preset by the photovoltaic plate steel frame;
performing form optimization on the initial design model by using a multi-working-condition topological optimization technology and a compromise weight method to obtain an initial topological optimization structure of the photovoltaic plate steel frame;
and establishing an approximate parameterized model according to the initial topological optimization structure, and carrying out size optimization on the approximate parameterized model to obtain a target topological optimization structure of the photovoltaic plate steel frame, which meets the target value.
2. The forward design method of the photovoltaic steel sheet frame structure according to claim 1, wherein before the performing morphology optimization on the initial design model by using a multi-condition topology optimization technique and a compromise weight-guided method to obtain the initial topology optimization structure of the photovoltaic steel sheet frame, the method further comprises:
and defining unit information according to the initial design model, assigning the units, and setting an optimization area and a non-optimization area for the initial design model.
3. The forward design method of the photovoltaic steel sheet frame structure according to claim 1, wherein the performing morphological optimization on the initial design model by using a multi-condition topological optimization technique and a compromise weight-guiding method to obtain the initial topological optimization structure of the photovoltaic steel sheet frame comprises:
defining optimization problem information by adopting the multi-working-condition topology optimization technology;
and solving the optimization problem information through the compromise weight-guiding method to obtain an initial topological optimization structure of the photovoltaic panel steel frame.
4. The forward design method of the steel frame structure of the photovoltaic plate according to claim 3, wherein the step of defining optimization problem information by using the multi-condition topology optimization technology comprises the steps of:
the optimization problem information comprises design variables, working conditions, constraint conditions and optimization targets, and is calculated as follows:
Figure 220186DEST_PATH_IMAGE001
Figure 140738DEST_PATH_IMAGE002
Figure 218897DEST_PATH_IMAGE003
wherein x is a design variable;U sum (X) is the total objective function and,U j (X) is an objective function under the j working condition, wherein the objective function comprises an intensity objective function, a rigidity objective function, a stability objective function, a displacement objective function and a frequency objective function;w j is a weight factor, J is a working condition number; g (x) is a constraint function including a mass constraint function, a volume constraint function.
5. The forward design method of the photovoltaic steel sheet frame structure according to claim 4, wherein the solving the optimization problem information through the compromise-weight-guided method to obtain the initial topological optimization structure of the photovoltaic steel sheet frame comprises:
Figure 693740DEST_PATH_IMAGE004
Figure 252898DEST_PATH_IMAGE005
wherein,Sto trade off total weight;S i is called asx i The trade-off of (2) is weight;αis a step size factor;H i is called asx i Volume weight of (d);kis the step length;pis a penalty factor, andp≥2;ηis a weight factor.
6. The forward design method of the photovoltaic steel sheet frame structure according to claim 1, wherein the establishing an approximate parameterized model according to the topological optimization structure, and performing size optimization on the approximate parameterized model to obtain a target topological optimization structure of the photovoltaic steel sheet frame, which meets the target value, comprises:
performing initial performance analysis on the approximate parameterized model by using finite element software;
selecting size optimization design variables, defining response, constraint conditions and optimization target associated design variables and attributes through finite element software; and performing optimization calculation to iteratively update the design variables to obtain the target topology optimization structure.
7. The forward design method of the steel frame structure of the photovoltaic plate as claimed in claim 6, further comprising:
performing performance analysis on the corresponding intermediate topological optimization structure when the design variables are updated iteratively;
when the performance of the intermediate topological optimization structure meets the target value, the intermediate topological optimization structure is a target topological optimization structure;
and returning to continue the optimization solution when the performance of the intermediate topological optimization structure does not meet the target value.
8. The forward design method of the steel frame structure of the photovoltaic plate as claimed in any one of claims 1 to 7, further comprising:
and establishing different finite element models according to different combination forms and use environments of the target topological optimization structure, and performing mechanical performance simulation analysis and evaluation on the target topological optimization structure.
9. The forward design method of the steel frame structure of the photovoltaic plate as claimed in claim 8,
the combination form of the target topological optimization structure comprises the following steps: bending, riveting and welding for the first time.
10. The forward design method of the photovoltaic steel sheet frame structure according to claim 8, wherein the manufacturing of the sample according to the target topology optimization structure for physical test to obtain the optimal photovoltaic steel sheet frame structure comprises:
sampling and analyzing a process sample corresponding to the target topological optimization structure, and verifying attribute information of the process sample so as to predict variable factors of the target topological optimization structure in batch production;
the attribute information of the process sample comprises process design, process flow, tools, equipment and parameters.
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