Variable support structure lightweight design method and device based on database and medium

Abstract

The invention discloses a variable support structure lightweight design method and device based on a database and a medium. The structure comprises an arch-shaped arc supporting column, a tensile balance triangular structure, a middle balance column and an anti-torsion connecting block. The method comprises the steps that arch-shaped arc supporting column parameter combinations corresponding to a plurality of environment working condition parameters are obtained; constructing a database according to the plurality of environment working condition parameters and the corresponding support structure design parameters; to-be-designed target environment working condition parameters are obtained, matching with a database is carried out according to target load conditions corresponding to the target environment working condition parameters and the target environment parameters, and a target arched arc strut parameter combination is obtained; obtaining model parameters of a tensile balance triangular structure corresponding to the target arched arc strut parameter combination; obtaining the diameter size of a middle balance column corresponding to the target arched arc strut parameter combination; based on the stress distribution cloud picture, determining installation information of an anti-torsion connection block corresponding to the target arched arc pillar parameter combination; and the lightweight design of the variable supporting structure is completed.

Description

Technical Field

[0001] The present application relates to the field of structural design technology, and in particular to a database-based lightweight design method, device, and medium for a variable support structure. Background Art

[0002] Currently, support structure design methods typically rely on traditional empirical design or optimization design under a single operating condition, making them difficult to adapt to the changing environmental parameters. Especially in complex environments, where support structures must simultaneously meet multiple load conditions and environmental parameters, traditional design methods often struggle to achieve efficient lightweight design and are prone to mismatching design parameters, which can affect the stability and reliability of the structure.

[0003] Existing design methods typically rely on single optimization algorithms or finite element analysis, which struggles to fully account for the complex relationships between material properties, arc radius, wall thickness, and environmental parameters. Furthermore, traditional design methods often require multiple iterative calculations when dealing with multiple operating parameters, resulting in long and inefficient design cycles. Therefore, achieving lightweight support structure design in complex environments while ensuring structural stability and reliability has become a key research topic in the current technology.

[0004] Therefore, a lightweight design method for a variable support structure is urgently needed to solve at least one of the above problems. Summary of the Invention

[0005] The present application provides a database-based lightweight design method, equipment and medium for variable support structures, which aims to solve the problem that existing design methods usually use a single optimization algorithm or finite element analysis, which makes it difficult to fully consider the complex relationship between material properties, arc radius, wall thickness and environmental parameters. In addition, when dealing with multiple working condition parameters, traditional design methods often require multiple iterative calculations, resulting in a long design cycle and low efficiency. Therefore, how to achieve lightweight design of support structures in complex environments while ensuring the stability and reliability of the structure has become an important research direction in the current technical field.

[0006] In a first aspect, the present application provides a database-based lightweight design method for a variable support structure, wherein the variable support structure includes a plurality of arched arc struts, a tensile balance triangle structure, an intermediate balance column, and a plurality of torsion-resistant connecting blocks; the method comprises:

[0007] Obtaining a combination of arched circular arc pillar parameters corresponding to a plurality of environmental working condition parameters; the combination of arched circular arc pillar parameters at least includes material properties, arc radius, and wall thickness; the environmental working condition parameters at least include load conditions and environmental parameters;

[0008] Building a database based on multiple environmental working condition parameters and corresponding support structure design parameters;

[0009] Obtaining target environmental working condition parameters to be designed, matching target load conditions and target environmental parameters corresponding to the target environmental working condition parameters with the database to obtain a target arched circular arc support parameter combination;

[0010] Obtaining model parameters of a tensile balance triangle structure corresponding to the target arched arc strut parameter combination; wherein the contact surface between the tensile balance triangle structure and the arched arc strut is provided with a complementary slot structure; wherein the model parameters include a triangle vertex angle, a side beam cross-sectional dimension, and a complementary slot position;

[0011] Obtaining a diameter size of an intermediate balancing column corresponding to the target arched circular arc column parameter combination; wherein the diameter size is in a nonlinear proportional relationship with the chord length of the arched circular arc column;

[0012] Determine the installation information of the torsion-resistant connecting block corresponding to the target arched arc support parameter combination based on the stress distribution cloud map;

[0013] The lightweight design of the variable support structure is completed according to the target arched arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the middle balance column and the installation information of the torsion-resistant connecting block.

[0014] In some embodiments, the construction of a database based on multiple environmental operating parameters and corresponding support structure design parameters includes: obtaining parameter complexity information corresponding to multiple environmental operating parameters and corresponding support structure design parameters; determining a database type based on the parameter complexity information; the database type includes at least a mixed use of relational and non-relational types; obtaining correlation information corresponding to the environmental operating parameters and corresponding support structure design parameters; and constructing the database based on the database type, correlation information, multiple environmental operating parameters and corresponding support structure design parameters.

[0015] In some embodiments, obtaining the model parameters of the tensile balanced triangular structure corresponding to the target arched arc strut parameter combination includes: obtaining the force information corresponding to the target material properties, target arc radius and target wall thickness dimensions corresponding to the target arched arc strut parameter combination; and generating the model parameters of the tensile balanced triangular structure based on the force information.

[0016] Exemplarily, the generating model parameters of the tensile balanced triangle structure according to the force information includes: determining the functional requirements of the tensile balanced triangle structure according to the combination of standard arch arc pillar parameters; the functional requirements include providing one or more of tensile strength and balanced structural force; generating performance indicators of the tensile balanced triangle structure according to the functional requirements; the performance indicators include at least maximum load and structural stability; based on the principles of structural mechanics, establishing a force analysis model of the tensile balanced triangle structure according to the force information; based on a preset finite element simulation environment, performing structural strength and stability analysis on the model parameters according to the force analysis model; and optimizing the model parameters according to the analysis results corresponding to the performance indicators, structural strength and stability analysis.

[0017] In some embodiments, obtaining the diameter size of the intermediate balance column corresponding to the target arch arc pillar parameter combination includes: obtaining historical chord lengths of multiple historical arch arc pillars and corresponding historical diameter sizes of the intermediate balance columns; inputting the multiple historical chord lengths and corresponding historical diameter sizes into a preset machine learning model, and outputting a mapping relationship between the chord length of the arch arc pillar and the diameter size of the intermediate balance column; constructing a chord length prediction model based on the mapping relationship to obtain the diameter size based on the chord length prediction model and the target arch arc pillar parameter combination.

[0018] Exemplarily, constructing the chord length prediction model based on the mapping relationship includes: obtaining strength information and stability information corresponding to the target arch arc strut parameter combination; generating constraints based on the strength information and stability information; and constructing the chord length prediction model based on the mapping relationship and the constraints to ensure that the diameter size output by the chord length prediction model is smaller while satisfying the strength and stability requirements.

[0019] In some embodiments, the installation information includes at least the installation point position and the connection block size; the installation point position is located in the area of 0.3-0.5 times the chord length of the arched circular arc support, and the connection block size is generated by parametric design based on the local stress peak corresponding to the arched circular arc support.

[0020] In some embodiments, after completing the lightweight design of the variable support structure according to the target arch arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the intermediate balance column and the installation information of the torsion-resistant connecting block, it also includes: completing the lightweight installation of the variable support structure based on a composite connection process according to the target arch arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the intermediate balance column and the installation information of the torsion-resistant connecting block; wherein, the composite connection process includes fixing the main force path by riveting, using intermittent welding in the non-main load-bearing area, and optimizing the structural topology to make the weld in the compressive stress area.

[0021] In a second aspect, the present application provides a computer device, comprising: a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and implement the method provided in any embodiment of the present application when executing the computer program.

[0022] In a third aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer-readable instructions are executed by a processor, one or more processors execute the method provided in any embodiment of the present application.

[0023] This application discloses a database-based lightweight design method, device, and medium for variable support structures. The database-based lightweight design method for variable support structures provided in this application first obtains parameter combinations for arched circular arc struts corresponding to multiple environmental operating parameters. These parameter combinations include at least material properties, arc radius, and wall thickness. Environmental operating parameters include load conditions and environmental parameters (such as temperature and humidity). A database is constructed based on the multiple environmental operating parameters and the corresponding support structure design parameters. This database stores the parameter combinations for arched circular arc struts under different operating conditions, facilitating rapid matching during subsequent design. The target environmental operating parameters to be designed are obtained and matched against the database to obtain the target parameter combination for the arched circular arc strut. Based on the target parameter combination for the arched circular arc strut, the model parameters of the corresponding tensile balancing triangle structure are obtained. The contact surface between the tensile balancing triangle structure and the arched circular arc strut is provided with a complementary slot structure. The model parameters include the triangle vertex angle, the cross-sectional dimensions of the side beam, and the position of the complementary slot.

[0024] The diameter of the intermediate balancing column corresponding to the target arched arc strut parameter combination is obtained. This diameter is nonlinearly proportional to the chord length of the arched arc strut, ensuring the stability and strength of the structure. Based on the stress distribution cloud map, the installation information for the torsion-resistant connector blocks corresponding to the target arched arc strut parameter combination is determined. The installation position and number of the torsion-resistant connector blocks are optimized based on the stress distribution to improve the torsional resistance of the structure. Finally, the lightweight design of the variable support structure is completed based on the target arched arc strut parameter combination, the model parameters of the tensile balance triangle structure, the diameter of the intermediate balancing column, and the installation information for the torsion-resistant connector blocks.

[0025] The provided method has at least the following beneficial effects:

[0026] Comprehensive consideration of complex relationships: By constructing a database, this method can comprehensively consider the complex relationships between material properties, arc radius, wall thickness and environmental parameters, thereby achieving more accurate optimization during the design process. Improve design efficiency: Traditional design methods often require multiple iterative calculations when dealing with multiple working condition parameters, resulting in a long design cycle and low efficiency. However, this method can quickly obtain the target parameter combination through database matching, significantly improving design efficiency. Ensure structural stability and reliability: By introducing a tensile balance triangle structure, an intermediate balance column and a torsional connection block, and combining it with stress distribution cloud maps for optimization, the stability and reliability of the support structure in complex environments are ensured. Achieve lightweight design: This method achieves lightweight design of the support structure by optimizing the parameters and installation information of each structural component, reducing material usage and manufacturing costs while maintaining the strength and stability of the structure. Adapt to multiple working condition requirements: This method can adapt to a variety of environmental working condition parameters, and through database matching and parameter optimization, ensures that the support structure can perform well under different working conditions.

[0027] In summary, the database-based variable support structure lightweight design method provided in this application not only improves the design efficiency but also ensures the stability and reliability of the structure by comprehensively considering multiple parameters and optimizing the structural design, thereby achieving the goal of lightweight design.

[0028] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0030] Figure 1 This is a schematic diagram of the assembly of a variable support structure provided by an embodiment of the present application;

[0031] Figure 2 A schematic diagram of an arched arc support provided in one embodiment of the present application;

[0032] Figure 3 A schematic diagram of a tensile balance triangle structure provided in one embodiment of the present application;

[0033] Figure 4 Schematic diagram of torsion-resistant connecting blocks of different specifications provided in one embodiment of the present application;

[0034] Figure 5This is a schematic flow chart of the steps of a lightweight design method for a variable support structure based on a database provided in one embodiment of the present application;

[0035] Figure 6 This is a schematic block diagram of the structure of a computer device provided in one embodiment of the present application.

[0036] Explanation of the reference numerals: 01 tensile balancing triangle structure, 02 large-scale torsion-resistant connecting block, 03 small-scale torsion-resistant connecting block, 04 central balancing column part, 05 arched circular arc support.

[0037] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0039] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined, or partially merged, so the actual execution order may vary depending on the actual situation.

[0040] It should be understood that, in order to clearly describe the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, terms such as "first" and "second" are used to distinguish between identical or similar items having substantially the same functions and effects. Those skilled in the art will understand that terms such as "first" and "second" do not limit the quantity or order of execution, and that terms such as "first" and "second" do not necessarily define differences.

[0041] It should be understood that the terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0042] It will also be 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.

[0043] The following describes some embodiments of the present application in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features therein may be combined with each other.

[0044] Currently, support structure design methods typically rely on traditional empirical design or optimization design under a single operating condition, making them difficult to adapt to the changing environmental parameters. Especially in complex environments, where support structures must simultaneously meet multiple load conditions and environmental parameters, traditional design methods often struggle to achieve efficient lightweight design and are prone to mismatching design parameters, which can affect the stability and reliability of the structure.

[0045] Existing design methods typically rely on single optimization algorithms or finite element analysis, which struggles to fully account for the complex relationships between material properties, arc radius, wall thickness, and environmental parameters. Furthermore, traditional design methods often require multiple iterative calculations when dealing with multiple operating parameters, resulting in long and inefficient design cycles. Therefore, achieving lightweight support structure design in complex environments while ensuring structural stability and reliability has become a key research topic in the current technology.

[0046] Therefore, a lightweight design method for a variable support structure is urgently needed to solve at least one of the above problems.

[0047] Please refer to Figures 1 to 4 The present application provides a variable support structure, which includes a plurality of arched arc supports, a tensile balance triangle structure, an intermediate balance column and a plurality of torsion-resistant connection blocks.

[0048] In some embodiments, the variable support structure includes three sections of arched circular arc pillars (05), a tensile balance triangle structure (01), an intermediate balance column (04), and torsion-resistant connecting blocks of different specifications, as well as a parts database and an intelligent matching system containing different specifications. The parts database contains three sections of arched circular arc pillars (05), tensile balance triangle structures (01), intermediate balance columns (04), and torsion-resistant connecting blocks of different specifications of various specifications, and the intelligent matching system includes inputting bearing capacity and bearing distance, and intelligently matching the size, structure, material type, etc. of the three sections of arched circular arc pillars (05), tensile balance triangle structures (01), intermediate balance columns (04), and torsion-resistant connecting blocks of different specifications.

[0049] Furthermore, the dimensions of the three-section arched circular arc support (05) are matched to the specifications of the arched circular arc support (05) in the database through an intelligent matching system according to the actual workload, working position and environment, thereby ensuring that the designed structure can maximize the material utilization rate of the structure and have a stronger bearing capacity when in use.

[0050] In order to make the large-scale anti-torsion connection block (02) and the small-scale anti-torsion connection block (03) have stronger anti-torsion and anti-bending forces, it is necessary to intelligently match them according to the size of the arched arc pillar, so as to achieve better force transmission effect, save more materials and reduce quality. The connection between the anti-torsion connection blocks (02), (03) and the arched arc pillar (05) is provided with a slot (004). The slot on the anti-torsion connection block cooperates with the arched arc pillar (05) and is fixed by welding. From this position, the connection adopts a transition-matched interlocking structure and a welding combination method to reduce the stress on the weld and increase the connection performance. Among them, the large-scale anti-torsion connection block (02) is as follows Figure 3 It comprises a slot center hole (002), a plurality of surrounding holes (003) and a clamping slot (004).

[0051] Furthermore, the tensile balancing triangular structure (01) is located at the top and bottom of the variable support structure. The size of this structure is matched according to the size of the arched circular arc support (05) through an intelligent matching system. The tensile balancing triangular structure (01) prevents the end of the arched circular arc support (05) from deforming outward when the structure is loaded. The triangular structure is preferably connected at this position, and the tensile balancing triangular structure is provided with a slot (001). This slot is inserted into the top of the arched circular arc support (005), and is fixed by welding after the matching is completed, thereby making the variable support structure more stable, thereby ensuring its rigidity.

[0052] In order to improve the universality of the support structure, the tensile balance triangle structure (01) can change its shape according to the characteristics of the use site, that is, increase or decrease the contact area according to the soft and hard characteristics of the contact material at the bottom of the support structure, so as to achieve the purpose of improving the support safety and achieving lightweight.

[0053] Furthermore, the intermediate balance column (04) is located in the central part of the variable support structure, and its size is matched according to the size of the arched arc support (05) through an intelligent matching system. When the variable support structure is loaded, the arched arc support will form a tendency to be squeezed inward. The intermediate balance column (04) is set to offset the inward forces of the three arched arcs. The intermediate balance column (04) is connected to the torsion-resistant connecting blocks of different specifications. The central part of the torsion-resistant connecting block is provided with an opening (003). The intermediate balance column (04) is inserted into the torsion-resistant connecting blocks of different specifications and then welded and fixed, thereby forming a "wall-building" structure to improve the rigidity of the welded structure.

[0054] See also Figure 5 , Figure 5 This is a schematic flow chart of a lightweight design method for a variable support structure based on a database provided by an embodiment of the present application. The execution device of the method is a computer device. Figures 1 to 4 The variable support structure shown.

[0055] like Figure 5 As shown, the provided method includes steps S101 to S107. The computer device may be a handheld terminal, a notebook computer, a wearable device, or a robot, etc., for implementing steps S101 to S107 and their corresponding embodiments.

[0056] Step S101. Obtain a combination of arched arc pillar parameters corresponding to a plurality of environmental working condition parameters; the combination of arched arc pillar parameters includes at least material properties, arc radius and wall thickness; the environmental working condition parameters include at least load conditions and environmental parameters.

[0057] Specifically, in this step, the computer first needs to obtain multiple environmental parameters, including but not limited to load conditions (such as static loads, dynamic loads, and impact loads) and environmental parameters (such as temperature, humidity, wind speed, and earthquake intensity). Based on these environmental parameters, the computer then generates a corresponding combination of arched circular arc strut parameters. These parameter combinations include at least material properties (such as elastic modulus, density, and tensile strength), arc radius (i.e., the radius of curvature of the arched strut), and wall thickness (i.e., the wall thickness of the arched strut).

[0058] Computer equipment can acquire real-time environmental parameters through sensor networks or external databases. These parameters are then converted into design parameters for the arched circular pillars using pre-established mathematical models or empirical formulas. For example, finite element analysis (FEA) or numerical simulation can be used to determine the optimal arc radius and wall thickness for different loading conditions.

[0059] This step allows the computer to generate the optimal combination of arched arc support parameters based on the actual environmental parameters, ensuring the stability and reliability of the support structure in various environments. Furthermore, this step increases the degree of design automation, reduces human intervention, and reduces the possibility of design errors.

[0060] Step S102: Construct a database based on multiple environmental working condition parameters and corresponding support structure design parameters.

[0061] Specifically, in this step, the computer device stores the multiple environmental working condition parameters and corresponding arched arc pillar parameters obtained in step S101 in a database. This database will serve as a reference and matching basis in the subsequent design process.

[0062] The computer can use a relational database (such as MySQL or PostgreSQL) or a non-relational database (such as MongoDB) to store this data. Each record includes environmental parameters (such as loading conditions and environmental parameters) and a corresponding combination of arch support parameters (such as material properties, arc radius, and wall thickness). The database can be constructed using automated scripts or data import tools.

[0063] The benefit of building a database is that it provides rapid data query and matching capabilities for subsequent design steps. Through the database, computers can quickly retrieve the arched circular pillar parameter combinations that match the target environmental operating parameters during the design process, thereby improving design efficiency. Furthermore, the database provides data support for future design optimization and parameter adjustments.

[0064] Step S103: Obtain target environmental working condition parameters to be designed, match target load conditions and target environmental parameters corresponding to the target environmental working condition parameters with the database, and obtain target arched circular arc support parameter combination.

[0065] Specifically, in this step, the computer device first obtains the target environmental working condition parameters to be designed, including the target load conditions and target environmental parameters. The computer device then matches these target parameters with the database constructed in step S102 to find the most matching arched circular arc support parameter combination.

[0066] The computer device can obtain target environmental parameters through user input or external sensors. It then uses a database query language (such as SQL) or a matching algorithm (such as the nearest neighbor algorithm) to perform a match within the database. The matching criteria can be the minimum error in parameters or the optimal weighted combination.

[0067] This step allows the computer to quickly find the optimal combination of arched circular pillar parameters that matches the target environmental parameters, reducing design time and improving accuracy. Furthermore, this step ensures optimal design parameters, avoiding the parameter mismatch issues inherent in traditional design methods.

[0068] Step S104. Obtain the model parameters of the tensile balance triangle structure corresponding to the target arched arc support parameter combination; the contact surface between the tensile balance triangle structure and the arched arc support is provided with a complementary slot structure; the model parameters include the triangle vertex angle, the side beam cross-sectional dimensions, and the complementary slot position.

[0069] Specifically, in this step, the computer device further obtains the model parameters of the corresponding tensile balance triangle structure based on the target arched arc support parameter combination obtained in step S103. These model parameters include the triangle vertex angle, side beam cross-sectional dimensions, and complementary slot positions.

[0070] Computer equipment can convert the arched arc strut parameter combinations into the model parameters of the tensile balanced triangular structure through pre-established mapping relationships or empirical formulas. For example, for different arc radii and wall thicknesses, finite element analysis or numerical simulation can be used to determine the optimal triangular vertex angle and side beam cross-section dimensions.

[0071] This step allows the computer to ensure the perfect match between the tensile-balanced triangular structure and the arched circular support, thereby improving the overall stability and reliability of the support structure. Furthermore, this step automates the design process, reducing human intervention and the likelihood of design errors.

[0072] Step S105: Obtain the diameter of the intermediate balance column corresponding to the target arched circular arc support parameter combination; the diameter is in a nonlinear proportional relationship with the chord length of the arched circular arc support.

[0073] Specifically, in this step, the computer device further obtains the diameter size of the corresponding intermediate balance column based on the target arched circular arc pillar parameter combination obtained in step S103. The diameter size is nonlinearly proportional to the chord length of the arched circular arc pillar.

[0074] Computer equipment can convert the combination of arched arc pillar parameters into the diameter size of the intermediate balance column through pre-established mathematical models or empirical formulas. For example, for different arc radii and wall thicknesses, the optimal diameter size can be determined through finite element analysis or numerical simulation.

[0075] This step allows the computer to ensure the perfect fit between the intermediate balancing column and the arched arc support, thereby improving the overall stability and reliability of the supporting structure. Furthermore, this step automates the design process, reducing human intervention and the likelihood of design errors.

[0076] Step S106: Determine the installation information of the torsion-resistant connecting block corresponding to the target arched arc support parameter combination based on the stress distribution cloud map.

[0077] Specifically, in this step, the computer generates a stress distribution cloud map based on the target arched arc support parameter combination obtained in step S103. Based on the stress distribution cloud map, the computer determines the installation information of the torsion-resistant connector, including the installation location, quantity, and size.

[0078] Computer equipment can generate stress distribution cloud maps through finite element analysis or numerical simulation. Then, using image processing algorithms or machine learning models, areas of stress concentration can be extracted from the stress distribution cloud map and the optimal installation position and size of the torsion-resistant connector can be determined.

[0079] This step allows the computer to ensure that the installation position and size of the torsion-resistant connectors match the stress distribution, thereby improving the torsional resistance and overall stability of the support structure. Furthermore, this step automates the design process, reducing human intervention and the possibility of design errors.

[0080] Step S107: Complete the lightweight design of the variable support structure according to the target arched arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the middle balance column and the installation information of the torsion-resistant connection block.

[0081] Specifically, in this step, the computer completes the lightweight design of the variable support structure based on all the design parameters acquired in steps S103 to S106. The final design includes detailed parameters and installation information for the arched circular support, the tensile balance triangle structure, the intermediate balance column, and the torsion-resistant connecting block.

[0082] Computer equipment can integrate all design parameters into a complete design plan through CAD software or automated design tools. Then, 3D modeling or simulation tools can be used to verify and optimize the design plan.

[0083] Through this step, the computer equipment can generate a complete, lightweight variable support structure design, ensuring the stability and reliability of the structure under different environmental conditions. In addition, this step also realizes the automation and optimization of the design, reducing design time and cost and improving design efficiency.

[0084] The database-based lightweight design method for variable support structures provided in this embodiment, through the detailed implementation of steps S101 to S107, effectively addresses the shortcomings of traditional design methods in complex environments. This method not only improves the degree of design automation and efficiency, but also ensures the optimization and matching of design parameters, thereby achieving lightweight design of the support structure while ensuring structural stability and reliability.

[0085] In some embodiments, the construction of a database based on multiple environmental operating parameters and corresponding support structure design parameters includes: obtaining parameter complexity information corresponding to multiple environmental operating parameters and corresponding support structure design parameters; determining a database type based on the parameter complexity information; the database type includes at least a mixed use of relational and non-relational types; obtaining correlation information corresponding to the environmental operating parameters and corresponding support structure design parameters; and constructing the database based on the database type, correlation information, multiple environmental operating parameters and corresponding support structure design parameters.

[0086] The computer first analyzes multiple environmental parameters and corresponding support structure design parameters to assess their complexity. This complexity can include the diversity of parameters, their interdependencies, and their dynamic variation.

[0087] For example, environmental operating parameters may include temperature, humidity, wind speed, earthquake intensity, etc., and the complexity and degree of mutual influence of these parameters vary.

[0088] Based on the parameter complexity information, the computer selects an appropriate database type. If the parameters are highly correlated and the data structure is relatively fixed, a relational database (such as MySQL or PostgreSQL) can be selected. If the parameter structure is loose or a large amount of unstructured data needs to be processed, a non-relational database (such as MongoDB) can be selected. In some complex scenarios, a combination of relational and non-relational databases can be used to fully leverage the advantages of both. The computer further analyzes the correlation between the environmental parameters and the support structure design parameters. For example, temperature changes may affect material properties, and wind speed may affect load conditions. This correlation information can be obtained through statistical analysis, machine learning models, or expert experience.

[0089] The computer constructs a database based on the database type, relevance information, environmental parameters, and support structure design parameters. Database construction includes operations such as defining tables, creating indexes, and importing data. For example, a relational database can define multiple tables to store different parameters, while a non-relational database can use document storage to flexibly handle complex data structures.

[0090] By selecting the appropriate database type, computers can efficiently store and query complex environmental and design parameters, improving data management efficiency. By analyzing correlations between parameters, the database can better reflect their mutual influence, providing more accurate data support for subsequent design. A mixed use of relational and non-relational databases can adapt to parameter requirements of varying complexity, improving system flexibility and scalability.

[0091] In some embodiments, obtaining the model parameters of the tensile balanced triangular structure corresponding to the target arched arc strut parameter combination includes: obtaining the force information corresponding to the target material properties, target arc radius and target wall thickness dimensions corresponding to the target arched arc strut parameter combination; and generating the model parameters of the tensile balanced triangular structure based on the force information.

[0092] The computer analyzes the corresponding stress information based on the target arched circular strut parameter combination (including target material properties, target arc radius, and target wall thickness). This stress information can include load distribution, stress concentration areas, and structural deformation. For example, through finite element analysis or numerical simulation, the computer can generate a stress distribution cloud map of the arched circular strut, thereby identifying the critical stress areas.

[0093] Based on the force data, the computer generates the model parameters for the tensile-balanced triangular structure. These parameters include the triangle's vertex angle, the cross-sectional dimensions of the side beams, and the location of the complementary slots. For example, in areas of concentrated stress, the computer can adjust the triangle's vertex angle to disperse the stress or increase the cross-sectional dimensions of the side beams to improve structural strength.

[0094] By analyzing the stress information, the computer generates a tensile-balanced triangular structure that perfectly matches the arched, circular struts, thereby optimizing the overall structural design. The resulting model parameters effectively disperse stress, improving the stability and reliability of the structure. This step automates the process from stress analysis to model parameter generation, reducing manual intervention and improving design efficiency.

[0095] Exemplarily, the generating model parameters of the tensile balanced triangle structure according to the force information includes: determining the functional requirements of the tensile balanced triangle structure according to the combination of standard arch arc pillar parameters; the functional requirements include providing one or more of tensile strength and balanced structural force; generating performance indicators of the tensile balanced triangle structure according to the functional requirements; the performance indicators include at least maximum load and structural stability; based on the principles of structural mechanics, establishing a force analysis model of the tensile balanced triangle structure according to the force information; based on a preset finite element simulation environment, performing structural strength and stability analysis on the model parameters according to the force analysis model; and optimizing the model parameters according to the analysis results corresponding to the performance indicators, structural strength and stability analysis.

[0096] Based on the target arch-shaped support parameter combination, the computer determines the functional requirements of the tensile-balanced triangular structure. These requirements include providing tensile strength and balancing structural forces. For example, if the arch-shaped support needs to withstand high tensile forces, the tensile-balanced triangular structure must have higher tensile strength.

[0097] Based on the functional requirements, the computer generates performance indicators for the tensile-balanced triangle structure. These indicators include maximum load and structural stability. For example, through finite element analysis, the computer can determine the maximum load-bearing capacity of the tensile-balanced triangle structure under different load conditions.

[0098] Based on the principles of structural mechanics, a computer system constructs a stress analysis model for a tensile-balanced triangular structure. This model can simulate the stresses acting on the structure under various loading conditions. For example, using a finite element simulation environment, the computer system can generate stress distribution and deformation data for the structure.

[0099] In a pre-set finite element simulation environment, the computer performs a structural strength and stability analysis on the model parameters of the tensile equilibrium triangular structure based on the load analysis model. For example, by simulating the structural response under different load conditions, the computer can assess whether the model parameters meet performance specifications.

[0100] Based on the performance indicators, structural strength, and stability analysis, the computer optimizes the model parameters of the tensile-balanced triangle structure. This optimization process can include adjusting the triangle's vertex angle, the cross-sectional dimensions of the side beams, and the location of the complementary slots. For example, if the analysis results indicate excessive stress in a particular area of the structure, the computer can increase the cross-sectional dimensions of the side beams in that area to improve strength.

[0101] By clarifying the functional requirements and performance indicators, the computer generated precise model parameters, ensuring that the design of the tensile-balanced triangle structure met actual requirements. Through force analysis models and finite element simulations, the computer optimized the model parameters to improve the strength and stability of the structure. This systematic analysis and optimization process reduced the number of design iterations, shortened the design cycle, and improved design efficiency.

[0102] In some embodiments, obtaining the diameter size of the intermediate balance column corresponding to the target arch arc pillar parameter combination includes: obtaining historical chord lengths of multiple historical arch arc pillars and corresponding historical diameter sizes of the intermediate balance columns; inputting the multiple historical chord lengths and corresponding historical diameter sizes into a preset machine learning model, and outputting a mapping relationship between the chord length of the arch arc pillar and the diameter size of the intermediate balance column; constructing a chord length prediction model based on the mapping relationship to obtain the diameter size based on the chord length prediction model and the target arch arc pillar parameter combination.

[0103] The computer device first obtains the historical chord lengths of multiple historical arched circular arc struts and the corresponding historical diameters of the intermediate balance columns. This historical data can come from previous design cases, experimental data, or simulation results. For example, the historical data can include the diameters of the intermediate balance columns at different chord lengths, as well as the performance of these dimensions in actual applications.

[0104] Multiple historical chord lengths and corresponding historical diameters are input into a pre-set machine learning model (such as a linear regression model, support vector machine, or neural network) to output a mapping relationship between the chord length of the arched circular arc strut and the diameter of the intermediate balancing column. For example, by training a neural network model, the computer device can learn the nonlinear relationship between chord length and diameter. Based on the mapping relationship output by the machine learning model, the computer device constructs a chord length prediction model. This model is capable of predicting the diameter of the intermediate balancing column based on the input chord length. For example, the chord length prediction model can be a regression model with chord length as input and diameter as output.

[0105] Based on the target arch-shaped column parameter combination (including chord length), the computer uses a chord length prediction model to determine the diameter of the intermediate balance column. For example, if the target chord length is input, the model outputs the corresponding diameter.

[0106] Using machine learning models, computers can more accurately predict the diameter of the intermediate balance column, improving design precision. This automated prediction model reduces manual calculations and iterations, increasing design efficiency. The prediction model, based on historical data, ensures that the diameter matches the chord length, thereby improving the overall performance of the structure.

[0107] Exemplarily, constructing the chord length prediction model based on the mapping relationship includes: obtaining strength information and stability information corresponding to the target arch arc strut parameter combination; generating constraints based on the strength information and stability information; and constructing the chord length prediction model based on the mapping relationship and the constraints to ensure that the diameter size output by the chord length prediction model is smaller while satisfying the strength and stability requirements.

[0108] The computer device obtains strength and stability information corresponding to the target arch-shaped arc strut parameter combination. This information can be obtained from finite element analysis, experimental data, or expert experience. For example, strength information may include the maximum load-bearing capacity of the structure under different load conditions, while stability information may include the deformation and critical load of the structure.

[0109] Based on the strength and stability information, the computer generates constraints. These constraints ensure that the diameter output by the chord length prediction model is as small as possible while maintaining strength and stability. For example, constraints can include minimum and maximum diameter values to ensure that the structure does not fail under maximum load.

[0110] Based on the mapping relationship and constraints, the computer constructs a chord length prediction model. This model considers strength and stability constraints when predicting diameter size. For example, the model can use optimization algorithms (such as genetic algorithms or particle swarm optimization) to find the optimal diameter size while satisfying the constraints.

[0111] Based on the diameter dimensions output by the chord length prediction model, the computer further optimizes the design of the intermediate balance column. This optimization process can include adjusting the diameter dimensions to reduce structural weight while ensuring strength and stability. For example, through finite element simulation, the computer can verify that the optimized diameter dimensions meet strength and stability requirements.

[0112] By incorporating strength and stability constraints, the chord length prediction model ensures that the output diameter is optimized while maintaining structural safety. While maintaining strength and stability, the model outputs the smallest possible diameter, thereby achieving lightweight support structure design. This automated prediction and optimization process reduces manual intervention, improves design efficiency, and shortens the design cycle.

[0113] Among them, the constraints include strength constraints and stability constraints.

[0114] The expression of the strength constraint condition is:

[0115] Fmax / π(D / 2)^2≤σallowable; Fmax is the maximum load that the intermediate balance column can withstand; σmax≤σallowable, σmax is the maximum stress of the intermediate balance column under actual load, which can be calculated through finite element analysis or mechanical formulas; σallowable represents the maximum stress value allowed by the material under design conditions, in Pascal (Pa) or Megapascal (MPa); D is the diameter size.

[0116] The expression of the stability constraint is:

[0117] Fmax≤π^2E(πD^4 / 64) / (kL)^2; Fmax is the maximum load borne by the intermediate balance column; k is the effective length factor, which represents the effect of the boundary conditions of the intermediate balance column on the buckling load and is dimensionless; E is the elastic modulus of the intermediate balance column material; and L is the length of the intermediate balance column.

[0118] Lightweight constraints can also be included to ensure that the diameter of the intermediate balancing column is as small as possible while meeting the requirements of strength and stability to achieve lightweighting.

[0119] In some embodiments, the installation information includes at least the installation point position and the connection block size; the installation point position is located in the area of 0.3-0.5 times the chord length of the arched circular arc support, and the connection block size is generated by parametric design based on the local stress peak corresponding to the arched circular arc support.

[0120] The computer determines the installation location of the anti-torsion connector based on the chord length of the arched circular arc support. The installation point is located in the area between 0.3 and 0.5 times the chord length of the arched circular arc support, an area where stress distribution is typically more uniform and concentrated. For example, through finite element analysis or stress distribution cloud maps, the computer can determine that the stress distribution is more concentrated in the area between 0.3 and 0.5 times the chord length, making it suitable for installation of the anti-torsion connector.

[0121] The computer system uses parametric design to generate the dimensions of the torsion-resistant connectors based on the local stress peaks corresponding to the arched circular struts. The connector dimensions must be designed to effectively distribute local stresses and improve the structure's torsional resistance. For example, through finite element simulation, the computer system can determine the location and magnitude of local stress peaks. Based on this information, the connector dimensions are designed to ensure they can withstand the local stresses.

[0122] The computer device integrates the installation point location and the connection block size into installation information. The installation information includes the specific installation point coordinates, the size and shape of the connection block, etc.

[0123] For example, installation information may include installing a specific size torsion joint block at 0.4 times the chord length to ensure that it can effectively distribute stress.

[0124] By installing torsion-resistant connectors in areas of concentrated stress, the computer equipment effectively improves the torsional resistance of the supporting structure, thereby enhancing the overall stability of the structure. The parametrically designed connector dimensions ensure effective distribution of localized stresses, preventing structural failure caused by stress concentration. Through finite element analysis and parametric design, the computer equipment generates precise installation information, thereby improving the accuracy and reliability of the design.

[0125] In some embodiments, after completing the lightweight design of the variable support structure according to the target arch arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the intermediate balance column and the installation information of the torsion-resistant connecting block, it also includes: completing the lightweight installation of the variable support structure based on a composite connection process according to the target arch arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the intermediate balance column and the installation information of the torsion-resistant connecting block; wherein, the composite connection process includes fixing the main force path by riveting, using intermittent welding in the non-main load-bearing area, and optimizing the structural topology to make the weld in the compressive stress area.

[0126] The computer determines the primary stress paths of the support structure based on the target arch-shaped support column parameter combination, the model parameters of the tensile balance triangle structure, the diameter of the intermediate balance column, and the installation information of the torsion-resistant connector. For example, through finite element analysis, the computer can determine the primary stress paths of the support structure under load, which are often critical areas of stress concentration and transfer.

[0127] Along the primary load paths, computer equipment uses riveting to secure the various components of the support structure. Riveting offers high connection strength and reliability, making it suitable for use along these paths. For example, high-strength rivets can be used to secure the computer equipment at the junction of the arched circular support and the tensile-balancing triangular structure, ensuring a secure connection.

[0128] In non-primary load-bearing areas, computer equipment uses intermittent welding to connect various components of the support structure. Intermittent welding offers good flexibility and adaptability, making it suitable for non-primary load-bearing areas. For example, at the connection between the intermediate balancing column and the anti-torsion connecting block, computer equipment can use intermittent welding to reduce welding stress and deformation.

[0129] Computer equipment uses structural topology optimization to position welds within compressive stress zones. Compressive stress zones effectively reduce weld stress and deformation, improving the overall stability of the structure. For example, through finite element analysis and topology optimization, computer equipment can determine the optimal location of welds to ensure they are within the compressive stress zone.

[0130] Based on the connection process and optimization results, the computer completes the installation of the variable support structure. The installation process includes riveting, welding, and topology optimization to ensure the lightweight and stable structure. For example, the computer can generate detailed installation drawings and process instructions to guide the actual operator during installation.

[0131] Riveting along the primary load paths ensures the strength and reliability of the support structure's connections, thereby improving the overall stability of the structure. Intermittent welding in non-primary load-bearing areas, combined with structural topology optimization to position welds within compressive stress zones, effectively reduces welding stress and deformation, improving the overall performance of the structure. Through a combined connection process and structural topology optimization, computer equipment can achieve lightweight support structure design while ensuring structural stability and reliability. Detailed installation drawings and process guidance improve installation efficiency, reduce installation errors and rework, and thus enhance overall design efficiency.

[0132] In some embodiments, the computer device monitors environmental parameters such as temperature, humidity, wind speed, and earthquake intensity in real time through a sensor network. This data is transmitted to the computer device in real time via wireless transmission technology. For example, sensors mounted on a support structure can monitor environmental changes in real time and transmit the data to a central control system.

[0133] Based on real-time environmental parameters, the computer dynamically adjusts the arched and circular-arc strut parameter combination, the tensile-balancing triangle structure model parameters, the intermediate balancing column diameter, and the installation information for the torsion-resistant connector. For example, if a sudden increase in wind speed is detected, the computer can automatically adjust the arched and circular-arc strut wall thickness and the tensile-balancing triangle structure model parameters to enhance the structure's wind resistance.

[0134] Computer equipment uses adaptive optimization algorithms (such as genetic algorithms and particle swarm optimization) to optimize the support structure in real time. Optimization objectives include structural strength, stability, and lightweighting. For example, through adaptive optimization algorithms, computer equipment can continuously optimize the weight and material usage of the support structure while maintaining structural strength.

[0135] Through real-time monitoring and dynamic parameter adjustment, computer equipment can quickly respond to environmental changes, ensuring the stability and reliability of the support structure under varying environmental conditions. Adaptive optimization algorithms can optimize based on real-time data, improving the environmental adaptability and overall performance of the support structure. Dynamic parameter adjustment and adaptive optimization algorithms make the design process more flexible and adaptable to complex and changing environmental conditions.

[0136] In some embodiments, a computer device establishes a multi-objective optimization model, where the optimization objectives include structural strength, stability, lightweighting, and cost. The optimization model can be based on finite element analysis, numerical simulation, and machine learning algorithms. For example, through finite element analysis, the computer device can generate stress distribution and deformation of the structure as input to the optimization model.

[0137] Computer equipment uses multi-objective optimization algorithms (such as NSGA-II and MOEA / D) to optimize support structures. The optimization process includes parameter adjustment, structural optimization, and performance evaluation. For example, using multi-objective optimization algorithms, computer equipment can minimize the weight and material cost of support structures while ensuring structural strength and stability.

[0138] Computer equipment evaluates the optimization results, including structural strength, stability, lightweighting, and cost. These evaluation results are used to guide further design optimization. For example, through finite element simulation and experimental verification, the computer equipment can determine whether the optimized support structure meets the design requirements.

[0139] Multi-objective optimization models comprehensively consider structural strength, stability, lightweighting, and cost to achieve comprehensive design optimization. Multi-objective optimization algorithms can quickly identify optimal design parameters, improving design efficiency and accuracy. By optimizing material usage and structural design, computer equipment can reduce the manufacturing cost of support structures and improve economic benefits.

[0140] In some embodiments, a computer device utilizes virtual reality (VR) technology to construct a virtual environment for the support structure. The virtual environment includes a 3D model of the support structure, environmental parameters, and a stress distribution cloud map. For example, using CAD software and VR technology, the computer device can generate a virtual model of the support structure and simulate different environmental conditions within the virtual environment.

[0141] Computer equipment verifies the support structure design in a virtual reality environment, including its strength, stability, and lightweight. This verification process is accomplished through interactive operation and real-time simulation. For example, designers can view the stress distribution and deformation of the support structure in the virtual environment and adjust design parameters through interactive operation.

[0142] Based on the design verification results in the VR environment, the computer equipment optimizes the support structure. The optimization process includes parameter adjustment, structural optimization, and performance evaluation. For example, designers can adjust the wall thickness of the arched arc support and the model parameters of the tensile balance triangle structure in real time in the VR environment and view the optimized results.

[0143] Virtual reality technology provides an intuitive design verification environment, allowing designers to more intuitively view and adjust support structure design parameters. Through real-time simulation and interactive operation within a virtual reality environment, computers can improve design accuracy and reliability. Virtual reality technology can quickly generate and verify design models, shortening design cycles and improving design efficiency.

[0144] In some embodiments, a computer device collects a large number of environmental operating parameters and support structure design parameters through a sensor network, experimental data, and historical design cases. This data is stored and managed on a big data platform. For example, using sensors installed on the support structure, the computer device can collect environmental operating parameters in real time and store the data on the big data platform. The computer device uses big data analysis techniques (such as machine learning and data mining) to analyze the environmental operating parameters and support structure design parameters, extracting valuable information and patterns. For example, using machine learning algorithms, the computer device can analyze the support structure design parameters under different environmental conditions and identify the optimal design pattern. Based on the big data analysis results, the computer device optimizes the support structure design. The optimization process includes parameter adjustment, structural optimization, and performance evaluation. For example, through big data analysis, the computer device can determine the optimal combination of arched arc support parameters, model parameters of the tensile balancing triangle structure, diameter dimensions of the intermediate balancing column, and installation information for the torsional connector under different environmental conditions.

[0145] Big data analysis technology can provide data support for support structure design, enabling data-driven design optimization. Through big data analysis, computers can extract valuable design patterns and rules, improving design accuracy and reliability. Big data analysis technology can also help designers better understand the impact of environmental parameters on support structure design, enhancing design adaptability and flexibility.

[0146] In some embodiments, a computer device utilizes blockchain technology to construct a design data management platform. This platform is used to store and manage environmental parameters, support structure design parameters, and design optimization results. For example, through the blockchain platform, the computer device can securely store and share design data, ensuring its authenticity and immutability.

[0147] Computer equipment uploads environmental parameters, support structure design parameters, and design optimization results to the blockchain, ensuring data transparency and traceability. For example, through smart contracts, computer equipment can automatically upload design data to the blockchain and generate corresponding data records. Computer equipment enables design data sharing and collaboration through the blockchain platform. Designers can view and download design data on the platform and collaborate on design. For example, through the blockchain platform, designers can view and update design data in real time, ensuring an efficient and transparent design process.

[0148] Blockchain technology ensures the security and transparency of design data, preventing data tampering and loss. Enhanced collaboration efficiency: Blockchain platforms enable real-time sharing and collaboration of design data, improving the efficiency and quality of design teams. Through blockchain technology, every modification and update to design data can be recorded and traced, enhancing the traceability and manageability of designs.

[0149] The present application also provides a database-based lightweight design device for a variable support structure. This database-based lightweight design device is used to execute the steps of the database-based lightweight design method for a variable support structure described in each of the above embodiments. This database-based lightweight design device for a variable support structure can be a single server or a server cluster, or it can be a terminal, such as a handheld terminal, a laptop computer, a wearable device, or a robot.

[0150] The database-based variable support structure lightweight design device includes:

[0151] A parameter acquisition unit, configured to acquire a combination of arched circular arc pillar parameters corresponding to a plurality of environmental working condition parameters; the combination of arched circular arc pillar parameters at least includes material properties, arc radius, and wall thickness; the environmental working condition parameters at least include load conditions and environmental parameters;

[0152] A structure construction unit, used to construct a database based on multiple environmental working condition parameters and corresponding supporting structure design parameters;

[0153] A working condition acquisition unit is used to acquire target environmental working condition parameters to be designed, and match the target load conditions and target environmental parameters corresponding to the target environmental working condition parameters with the database to acquire a target arched circular arc support parameter combination;

[0154] A model acquisition unit is used to acquire model parameters of the tensile balance triangle structure corresponding to the target arched arc pillar parameter combination; the contact surface between the tensile balance triangle structure and the arched arc pillar is provided with a complementary slot structure; the model parameters include the triangle vertex angle, the side beam cross-sectional dimensions, and the complementary slot position;

[0155] A ratio acquisition unit is used to acquire the diameter size of the intermediate balance column corresponding to the target arched circular arc column parameter combination; the diameter size is in a nonlinear proportional relationship with the chord length of the arched circular arc column;

[0156] An installation acquisition unit is used to determine the installation information of the torsion-resistant connection block corresponding to the target arched arc support parameter combination based on the stress distribution cloud map;

[0157] The design completion unit is used to complete the lightweight design of the variable support structure according to the target arch arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the middle balance column and the installation information of the torsion connection block.

[0158] It should be noted that, those skilled in the art can clearly understand that, for the convenience and conciseness of description, the above-described database-based variable support structure lightweight design device and the specific working processes of each unit can refer to the corresponding processes in the database-based variable support structure lightweight design method embodiments described in the above-mentioned embodiments, and will not be repeated here.

[0159] The embodiment corresponding to the above-mentioned database-based variable support structure lightweight design method can be implemented in the form of a computer program, and the computer program can be run on the above-mentioned device.

[0160] See also Figure 6 , Figure 6 1 is a schematic block diagram of the structure of a computer device provided in an embodiment of the present application. The computer device includes a processor, a memory, and a network interface connected via a device bus, wherein the memory may include a storage medium and an internal memory.

[0161] The storage medium can store an operating device and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any embodiment corresponding to the database-based variable support structure lightweight design method.

[0162] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0163] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any embodiment corresponding to the database-based variable support structure lightweight design method.

[0164] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the terminal to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0165] It should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0166] In one embodiment, the processor is configured to execute a computer program stored in the memory to implement the following steps:

[0167] Obtaining a combination of arched circular arc pillar parameters corresponding to a plurality of environmental working condition parameters; the combination of arched circular arc pillar parameters at least includes material properties, arc radius, and wall thickness; the environmental working condition parameters at least include load conditions and environmental parameters;

[0168] Building a database based on multiple environmental working condition parameters and corresponding support structure design parameters;

[0169] Obtaining target environmental working condition parameters to be designed, matching target load conditions and target environmental parameters corresponding to the target environmental working condition parameters with the database to obtain a target arched circular arc support parameter combination;

[0170] Obtaining model parameters of a tensile balance triangle structure corresponding to the target arched arc strut parameter combination; wherein the contact surface between the tensile balance triangle structure and the arched arc strut is provided with a complementary slot structure; wherein the model parameters include a triangle vertex angle, a side beam cross-sectional dimension, and a complementary slot position;

[0171] Obtaining a diameter size of an intermediate balancing column corresponding to the target arched circular arc column parameter combination; wherein the diameter size is in a nonlinear proportional relationship with the chord length of the arched circular arc column;

[0172] Determine the installation information of the torsion-resistant connecting block corresponding to the target arched arc support parameter combination based on the stress distribution cloud map;

[0173] The lightweight design of the variable support structure is completed according to the target arched arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the middle balance column and the installation information of the torsion-resistant connecting block.

[0174] It should be noted that those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the processor described above can refer to the corresponding process in the method embodiments described in the above embodiments, and will not be repeated here.

[0175] A computer-readable storage medium is also provided in an embodiment of the present application, wherein the computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and the processor executes the program instructions to implement the steps of the database-based variable support structure lightweight design method provided in the above-mentioned embodiments of the present application.

[0176] The computer-readable storage medium may be an internal storage unit of the computer device described in the aforementioned embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash memory card, etc., equipped on the computer device.

[0177] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present application, and such modifications or substitutions should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A database-based lightweight design method for variable support structures, characterized in that: The variable support structure includes multiple arched arc pillars, a tensile balance triangle structure, an intermediate balance column, and multiple torsion-resistant connecting blocks; the method includes: Obtaining a combination of arched circular arc pillar parameters corresponding to a plurality of environmental working condition parameters; the combination of arched circular arc pillar parameters at least includes material properties, arc radius, and wall thickness; the environmental working condition parameters at least include load conditions and environmental parameters; Building a database based on multiple environmental working condition parameters and corresponding support structure design parameters; Obtaining target environmental working condition parameters to be designed, matching target load conditions and target environmental parameters corresponding to the target environmental working condition parameters with the database to obtain a target arched circular arc support parameter combination; Obtaining model parameters of a tensile balance triangle structure corresponding to the target arched arc strut parameter combination; wherein the contact surface between the tensile balance triangle structure and the arched arc strut is provided with a complementary slot structure; wherein the model parameters include a triangle vertex angle, a side beam cross-sectional dimension, and a complementary slot position; Obtaining a diameter size of an intermediate balancing column corresponding to the target arched circular arc column parameter combination; wherein the diameter size is in a nonlinear proportional relationship with the chord length of the arched circular arc column; Determine the installation information of the torsion-resistant connecting block corresponding to the target arched arc support parameter combination based on the stress distribution cloud map; The lightweight design of the variable support structure is completed according to the target arched arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the middle balance column and the installation information of the torsion-resistant connecting block.

2. The method according to claim 1, characterized in that The database is constructed according to a plurality of environmental working condition parameters and corresponding support structure design parameters, including: Obtain parameter complexity information corresponding to multiple environmental working condition parameters and corresponding support structure design parameters; Determine the database type according to the parameter complexity information; the database type includes at least a mixed use of relational and non-relational types; Obtaining correlation information between environmental working condition parameters and corresponding support structure design parameters; The database is constructed according to the database type, correlation information, multiple environmental working condition parameters and corresponding support structure design parameters.

3. The method according to claim 1, characterized in that The obtaining of the model parameters of the tensile balance triangle structure corresponding to the target arched arc strut parameter combination includes: Obtaining force information corresponding to target material properties, target arc radius, and target wall thickness corresponding to the target arched arc support parameter combination; The model parameters of the tensile balance triangle structure are generated according to the force information.

4. The method according to claim 3, characterized in that Generating the model parameters of the tensile balance triangle structure according to the force information includes: Determine the functional requirements of the tensile balanced triangular structure based on the combination of standard arch arc support parameters; the functional requirements include providing one or more of tensile strength and balancing structural forces; Generating performance indicators of the tensile balanced triangular structure according to the functional requirements; the performance indicators at least include maximum load and structural stability; Based on the principles of structural mechanics, a force analysis model of the tensile balanced triangular structure is established according to the force information; Based on the preset finite element simulation environment, the structural strength and stability analysis of the model parameters is performed according to the stress analysis model; The model parameters are optimized according to the analysis results corresponding to the performance indicators, structural strength and stability analysis.

5. The method according to claim 1, wherein The obtaining of the diameter size of the intermediate balance column corresponding to the target arched arc support parameter combination includes: Obtain the historical chord lengths of a plurality of historical arch arc pillars and the historical diameters of the corresponding historical intermediate balance columns; Input multiple historical chord lengths and corresponding historical diameters into a preset machine learning model, and output a mapping relationship between the chord length of the arched circular arc pillar and the diameter of the intermediate balance column; A chord length prediction model is constructed according to the mapping relationship, so as to obtain the diameter size according to a combination of the chord length prediction model and target arched circular arc strut parameters.

6. The method according to claim 5, characterized in that The constructing of the chord length prediction model according to the mapping relationship includes: Obtaining strength information and stability information corresponding to the target arched circular arc support parameter combination; generating constraint conditions based on the strength information and the stability information; The chord length prediction model is constructed according to the mapping relationship and the constraint conditions to ensure that the diameter size output by the chord length prediction model is smaller while meeting the strength and stability requirements.

7. The method according to claim 1, characterized in that The installation information includes at least the installation point position and the connection block size; the installation point position is located in the area of 0.3-0.5 times the chord length of the arched circular arc support, and the connection block size is generated by parametric design based on the local stress peak corresponding to the arched circular arc support.

8. The method according to claim 1, characterized in that After completing the lightweight design of the variable support structure according to the target arched arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the middle balance column and the installation information of the torsion-resistant connection block, the method further includes: Based on the composite connection process, the lightweight installation of the variable support structure is completed according to the target arched arc support parameter combination, the model parameters of the tensile balance triangle structure, the diameter size of the intermediate balance column and the installation information of the torsion-resistant connection block; The composite connection process includes fixing the main stress path by riveting, intermittent welding in the non-main stress-bearing area, and optimizing the structural topology to place the weld in the compressive stress area.

9. A computer device, characterized in that The computer device includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and implement the method according to any one of claims 1 to 8 when executing the computer program.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer-readable instructions are executed by a processor, one or more processors execute the method as described in any one of claims 1 to 8.

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