Intelligent optimization design method, device, medium and program product for hot-rolled section steel structure

Abstract

The present application provides a hot-rolled steel structure intelligent optimization design method, equipment, medium and program product. The method of the present application comprises: constructing a basic database and a specification library containing standard specifications of each hot-rolled steel, and recording seismic performance parameters; receiving building working condition parameters, and constructing a target function with the maximum difference between the total sum of multi-dimensional benefits and the life cycle cost as the optimization goal, and taking the structural mechanics specification as the constraint condition of the target function; solving the target function with the specification library as the solution space to obtain multiple candidate section combinations; according to the building working condition parameters and in combination with the seismic performance parameters, performing mechanical compliance checking on each candidate section, eliminating the candidate section combinations containing the candidate sections that fail to pass the checking, and obtaining multiple feasible section combinations; calling the parameters in the basic database to calculate the net present value of the life cycle corresponding to each feasible section combination; and extracting the feasible section combination with the maximum net present value of the life cycle as the target section combination.

Description

Technical Field

[0001] This invention relates to the field of building structure design, specifically to an intelligent optimization design method, equipment, medium, and program product for hot-rolled steel structures. Background Technology

[0002] Driven by industrialized building and dual-carbon goals, hot-rolled steel structures have gained broad application prospects due to their green and low-carbon characteristics. However, existing building structure design software (such as PKPM and YJK) mainly focuses on the safety and mechanical compliance verification of structures, often taking the minimum initial steel consumption as the sole optimization objective, making it difficult to effectively quantify and evaluate the life cycle cost (LCC) and the overall benefits of the project.

[0003] Because the initial construction costs of hot-rolled steel structures are typically higher than those of traditional concrete structures, designers are often overly focused on initial costs, making it difficult to fully quantify their implicit economic value in areas such as shortening construction time, recovering residual value, and carbon asset trading. This results in many more economically viable hot-rolled steel solutions being rejected at the initial design stage. Therefore, there is an urgent need for an intelligent decision-making tool that can deeply integrate mechanical compliance verification with dynamic life-cycle economic assessment. Summary of the Invention

[0004] This invention provides a method, equipment, medium, and program product for intelligent optimization design of hot-rolled steel structures.

[0005] According to one aspect of the present invention, an intelligent optimization design method for hot-rolled steel structures is provided, comprising: constructing a basic database containing real-time economic and cost parameters and engineering financial parameters, and a specification library containing standard specifications of various hot-rolled steel sections, and recording the seismic performance parameters of each hot-rolled steel section; receiving input building condition parameters, and constructing an objective function with the optimization objective being the maximum difference between the sum of multidimensional benefits and the total life-cycle cost, using structural mechanics codes as constraints on the objective function; solving the objective function using the specification library as the solution space to obtain multiple candidate section combinations; and determining the optimal design method based on the building condition parameters. In conjunction with the seismic performance parameters of each candidate section included in each candidate section combination, the mechanical compliance of each candidate section is verified. Candidate section combinations that include candidate sections that fail the verification are eliminated, resulting in multiple feasible section combinations. The real-time economic and cost parameters and engineering financial parameters in the basic database are called to calculate the sum of multidimensional benefits and the total life cycle cost corresponding to each feasible section combination, and the total life cycle net present value corresponding to each feasible section combination is obtained. The feasible section combination with the maximum total life cycle net present value is extracted as the target section combination for intelligent optimization design of hot-rolled steel structures.

[0006] The intelligent optimization design method for hot-rolled steel structures according to at least one embodiment of the present invention provides a multi-dimensional benefit sum B. total The calculation method is as follows: B total =Σ(w i ×PV i ), where w i PV represents the weighting coefficient corresponding to the i-th benefit; i Σ represents the present value of the i-th benefit discounted to the same time reference point; Σ represents accumulation; i represents the sequence number of the benefits included in the multidimensional benefits.

[0007] According to at least one embodiment of the present invention, the intelligent optimization design method for hot-rolled steel structures determines the weight coefficients by calling the benefit evaluation weight matrix corresponding to the project type based on the building condition parameters.

[0008] The intelligent optimization design method for hot-rolled steel structures according to at least one embodiment of the present invention provides multi-dimensional benefits, including: construction period benefits, green finance interest savings, and policy subsidy benefits.

[0009] According to at least one embodiment of the intelligent optimization design method for hot-rolled steel structures of the present invention, the life-cycle cost is calculated as follows: LCC = C 初 +C 运 –S 残 , where C 初 Indicates the costs of material procurement, processing, and construction; C 运 Indicates maintenance and energy costs; S 残 This represents the net value of steel recycling and the revenue from carbon trading.

[0010] According to at least one embodiment of the present invention, the intelligent optimization design method for hot-rolled steel structures solves the objective function through a genetic algorithm or a particle swarm optimization algorithm. During the solution process, the fitness function of the genetic algorithm or particle swarm optimization algorithm is directly set to the net present value over the entire life cycle, and the optimization direction is to maximize the net present value over the entire life cycle.

[0011] The intelligent optimization design method for hot-rolled steel structures according to at least one embodiment of the present invention further includes: generating and outputting a full life-cycle economic analysis report based on the target section combination.

[0012] According to another aspect of the present invention, an electronic device is provided, comprising: a memory storing execution instructions; and a processor executing the execution instructions stored in the memory, such that the processor executes the intelligent optimization design method for hot-rolled steel structures according to any embodiment of the present invention.

[0013] According to another aspect of the present invention, a readable storage medium is provided, wherein the readable storage medium stores execution instructions, which, when executed by a processor, are used to implement the intelligent optimization design method for hot-rolled steel structures according to any embodiment of the present invention.

[0014] According to another aspect of the present invention, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the intelligent optimization design method for hot-rolled steel structures according to any embodiment of the present invention.

[0015] The present invention has the following beneficial effects: (1) By taking the maximum difference between the sum of multidimensional benefits and the total life cycle cost as the optimization objective and constructing the objective function with structural mechanics specifications as constraints, it is possible to break the limitation of the traditional design software's "only initial cost theory", make explicit the implicit value of hot-rolled steel in terms of shortening the construction period, carbon asset recovery and green financial incentives, and solve the pain point of steel structures being abandoned due to high initial construction and installation costs from the source.

[0016] (2) By using the specification library as the solution space to solve the objective function, it can force the design end to prioritize the use of standardized sections, effectively reduce non-standard customization, thereby triggering the scale production scheduling effect of downstream steel mills and reducing the system cost of the entire industrial chain.

[0017] (3) By combining the input building condition parameters with the seismic performance parameters corresponding to each candidate section to perform mechanical compliance verification, and eliminating combinations that include sections that fail the verification, it can be ensured that the optimization results strictly meet the requirements of current seismic codes such as width-to-thickness ratio and ductility, thus achieving a dual guarantee of mechanical safety and economic optimization.

[0018] (4) By calling database parameters, the full life cycle cost and multidimensional benefits of each feasible scheme are accurately calculated, and the combination with the largest net present value of the full life cycle is extracted as the target section combination output analysis report. This can provide an intuitive, quantitative and intelligent decision-making tool for early decision-making of steel structure schemes, and finally output the optimal technical and economic scheme that takes into account both structural safety and the comprehensive economic benefits of the full life cycle. Attached Figure Description

[0019] The accompanying drawings illustrate exemplary embodiments of the invention and, together with the description thereof, serve to explain the principles of the invention. These drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification.

[0020] Figure 1 This is a flowchart illustrating an intelligent optimization design method for hot-rolled steel structures according to an embodiment of the present invention.

[0021] Figure 2This is a schematic structural block diagram of an electronic device employing a processor-based hardware implementation according to an embodiment of the present invention. Detailed Implementation

[0022] The present invention will now be described in further detail with reference to the accompanying drawings and examples. It should be understood that the specific examples described herein are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, it should be noted that, for ease of description, only the parts relevant to the present invention are shown in the accompanying drawings.

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in this invention can be combined with each other. The technical solution of this invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] Figure 1 A schematic diagram illustrating the overall flow of an intelligent optimization design method for hot-rolled steel structures according to one embodiment of the present invention is shown. Figure 1 The method shown includes steps S1 to S6.

[0025] S1: Construct a basic database containing real-time economic and cost parameters and engineering financial parameters, as well as a specification library containing standard specifications of various hot-rolled steel sections, and record the seismic performance parameters of each hot-rolled steel section.

[0026] As one possible implementation, real-time economic and cost parameters include market and financial data collected in real time through a data interface, which may include steel market prices, labor costs, regional price differences, carbon trading prices, green credit interest rates, and the net value per unit of recycled steel. Project financial parameters may include annual maintenance rates, energy consumption per unit area, discount rates, and policy subsidy per unit. These real-time economic and cost parameters, along with the project financial parameters, can be used to subsequently calculate the sum of multidimensional benefits and the total life-cycle cost.

[0027] As one possible implementation method, seismic performance parameters may include flange width-to-thickness ratio limits, web height-to-thickness ratio limits, and member ductility requirements, which need to comply with GB 50017 standard.

[0028] Taking the optimized design of a hot-rolled steel structure for a three-story industrial plant as an example, assuming a building scale of three stories and a building area of ​​5200㎡, a basic database is constructed to collect and update the following real-time economic and cost parameters: the unit price of hot-rolled H-beam Q355B material is 5200 yuan / ton, the processing fee is 1500 yuan / ton, the construction and installation fee is 800 yuan / ton, the carbon trading price is 65 yuan / ton CO2, the net value unit price of steel recycling is 2000 yuan / ton, and the green credit interest rate is 3.2% (for comparison, the ordinary loan interest rate is 4.6%). Simultaneously, a pre-set database of national standard specifications for hot-rolled steel and corresponding seismic performance parameters is established.

[0029] The system receives the following building parameters: floor dead load 5.0 kN / m², live load 3.5 kN / m², basic wind pressure 0.45 kN / m²; seismic fortification intensity 7 degrees (0.10g), site category III. The constraints are set according to the current national standard "Standard for Design of Steel Structures" (GB 50017-2017), and the constraint indicators include flange width-to-thickness ratio, web height-to-thickness ratio, and member ductility, etc.

[0030] S2: Receives the input building condition parameters and constructs an objective function with the goal of maximizing the difference between the sum of multidimensional benefits and the total life cycle cost. The structural mechanics code serves as the constraint condition for the objective function.

[0031] As one possible implementation, building condition parameters may include loads, seismic fortification intensity, etc. For example, the received building condition parameters include: floor dead load 5.0 kN / m², live load 3.5 kN / m², basic wind pressure 0.45 kN / m², seismic fortification intensity 7 degrees (0.10g), and site category III.

[0032] As one possible implementation, the objective function can be expressed as: NPV = B total -LCC, where B total It represents the sum of multidimensional benefits, LCC represents the total life cycle cost, and NPV represents the net present value over the life cycle.

[0033] Multidimensional benefit sum B total The calculation method can be: B total =Σ(w i ×PV i ), where w i PV represents the weighting coefficient corresponding to the i-th benefit; i This represents the present value of the i-th benefit discounted to the same time reference point; i represents the indices of the benefits included in the multidimensional benefits. For example, multidimensional benefits may include the following benefits: time-related benefits, green finance interest savings, policy subsidies, etc. Weighting coefficient w i The corresponding benefit assessment weight matrix can be called to determine the project type (such as industrial, commercial, or bridge) based on the received building condition parameters.

[0034] The revenue from the shortened construction period can be calculated by multiplying the number of days the construction period is shortened by the owner's average daily net profit. For example, if the construction period is shortened by 45 days compared to concrete, and the owner's average daily net profit is 28,000 yuan, then the revenue from the shortened construction period is 1.26 million yuan.

[0035] Interest savings from green finance can be calculated based on green credit rates. For example, a project loan of 80 million yuan with a term of 10 years. The total interest on a regular loan is approximately 20 million yuan, while the total interest on a green loan is approximately 13.6 million yuan, resulting in interest savings of 6.4 million yuan, which is discounted to a present value of 5.1 million yuan.

[0036] The policy subsidy income can be calculated based on the policy subsidy unit price combined with the building area. For example, the subsidy for prefabricated steel structure is 55 yuan / ㎡, and the policy subsidy income corresponding to a building area of ​​5200㎡ is 286,000 yuan.

[0037] The life cycle cost can be calculated as follows: LCC = C 初 +C 运 –S 残 , where C 初 The costs of material procurement, processing, and construction can be calculated based on steel market prices, labor costs, and regional price differences; C 运 Maintenance and energy costs can be calculated based on the annual maintenance rate, the unit energy cost per unit area, and the discount rate; S 残 This represents the net value of steel recycling and the revenue from carbon trading. The net value of steel recycling can be calculated based on the unit price of steel recycling, while the revenue from carbon trading can be calculated based on the carbon trading price.

[0038] S3: Solve the objective function using the specification library as the solution space to obtain multiple candidate cross-section combinations.

[0039] As one possible implementation, the objective function can be solved using a genetic algorithm or a particle swarm optimization algorithm. During the solution process, the fitness function of the genetic algorithm or particle swarm optimization algorithm can be directly set to the net present value over the entire lifecycle, with the optimization direction being the maximization of the net present value over the entire lifecycle.

[0040] After solving the objective function, multiple candidate cross-section combinations can be obtained. The candidate cross-sections in each combination are standard standard cross-sections pre-set in the specification library. This setting can effectively avoid the situation in traditional design where non-standard customized cross-sections are generated in order to meet mechanical indicators. It forces the design end to adopt standardized components, which is conducive to triggering the scale scheduling effect of downstream steel mills and further reducing the system cost of the entire industry chain.

[0041] S4: Based on the building condition parameters and the seismic performance parameters of each candidate section included in each candidate section combination, perform mechanical compliance verification on each candidate section, eliminate candidate section combinations that include candidate sections that fail the verification, and obtain multiple feasible section combinations.

[0042] As one possible implementation method, mechanical compliance verification of each candidate section may include: extracting seismic performance parameter limits matching the building conditions based on verification standards (such as GB 50017) and building condition parameters. For each candidate section, determining whether its seismic performance parameters exceed the corresponding seismic performance parameter limits. Candidate sections that do not exceed the corresponding seismic performance parameter limits pass the mechanical compliance verification. Candidate sections that exceed the corresponding seismic performance parameter limits fail the mechanical compliance verification. It should be noted that when there are multiple seismic performance parameters, the verification is considered passed only if all seismic performance parameters do not exceed the corresponding seismic performance parameter limits; otherwise, the verification is considered failed. By performing mechanical compliance verification, candidate sections that do not meet the width-to-thickness ratio and ductility requirements can be eliminated.

[0043] Since a candidate section combination contains multiple candidate sections, if any candidate section in a candidate section combination fails the verification, the candidate section combination is deemed non-compliant and removed from the candidate set; only candidate section combinations in which all candidate sections pass the verification are retained as feasible section combinations.

[0044] S5: Call the real-time economic and cost parameters and engineering financial parameters in the basic database to calculate the sum of multidimensional benefits and the total life cycle cost corresponding to each feasible section combination, and solve for the total life cycle net present value corresponding to each feasible section combination.

[0045] S6: Extract the feasible cross-section combination that maximizes the net present value over the entire life cycle, and use it as the target cross-section combination for the intelligent optimization design of hot-rolled steel structures.

[0046] In the specific case above, the target section combination is as follows: bottom floor columns: HW400×408×21×21, second floor and above columns: HM350×350×12×19, main beam: HM300×200×8×12. Total steel consumption: 108 tons. Based on the target section combination, C... 初 =108t × 7500 yuan / t = 810,000 yuan; C 运 =834,200 yuan; S 残 =226,500 yuan (216,000 yuan from recycling + 10,530 yuan from carbon revenue); LCC = 810,000 + 834,200 - 226,500 = 1,417,700 yuan; NPV = B total -LCC=664.60-141.77=522.83 million yuan.

[0047] Comparative verification: To verify the effectiveness of the method in this embodiment, the following comparison is made: (1) Conventional concrete scheme: LCC is about RMB 2.25 million, and the multi-dimensional benefits include only a small amount of construction period benefits of about RMB 680,000, NPV≈-RMB 1.57 million; (2) Unoptimized conventional steel structure scheme (total steel consumption 130 tons): LCC approximately RMB1.7 million, total multidimensional benefits are the same at RMB6.646 million, NPV≈RMB4.946 million.

[0048] Through calculation and comparison, the optimal solution obtained by the intelligent optimization design method provided in this embodiment has an NPV that is about 5.7% higher than that of the unoptimized solution, while reducing steel consumption by 17%, achieving the global optimization of economy and material efficiency.

[0049] As one possible implementation, after obtaining the target cross-section combination, the method further includes: generating and outputting a full life-cycle economic analysis report based on the target cross-section combination. For example, the content of the full life-cycle economic analysis report may include: detailed specifications of the target cross-section combination, mechanical calculation sheets, LCC cost details, benefit calculation details, net present value summary, and comparative verification results.

[0050] According to a further embodiment of the present invention, an electronic device is also provided. Figure 2 This diagram illustrates a schematic block diagram of an electronic device employing a processor-based hardware implementation according to an embodiment of the present invention. The hardware structure of the electronic device of the present invention can be implemented using a bus architecture. The bus architecture can include any number of interconnect buses and bridges, depending on the specific application and overall design constraints of the hardware. Bus 1100 connects various circuits including one or more processors 1200, memory 1300, and / or hardware modules. Bus 1100 can also connect various other circuits 1400 such as peripheral devices, voltage regulators, power management circuits, external antennas, etc. Bus 1100 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Component (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, only one connecting line is used in this diagram, but this does not indicate that there is only one bus or one type of bus. The memory 1300 stores a computer program. When the processor 1200 executes the computer program, the processor 1200 can execute the intelligent optimization design method for hot-rolled steel structures described in the above embodiments.

[0051] The present invention also provides a readable storage medium storing a computer program, which, when executed by a processor, is used to implement the methods described above. A "readable storage medium" can be any means capable of containing, storing, communicating, propagating, or transmitting a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples of a readable storage medium include: an electrical connection (electronic device) having one or more wires, a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable read-only memory (CDROM), etc.

[0052] This invention also provides a computer program product. The method of this invention can be implemented wholly or partially through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented wholly or partially in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed, the processes or functions of this invention are performed wholly or partially.

[0053] Computer programs or instructions can be stored in a readable storage medium or transferred from one readable storage medium to another. For example, the computer program or instructions can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means. The readable storage medium can be any available medium capable of access, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium, such as a floppy disk, hard disk, or magnetic tape; an optical medium, such as a digital video optical disc; or a semiconductor medium, such as a solid-state drive. The computer-readable storage medium can be a volatile or non-volatile storage medium, or it can include both volatile and non-volatile types of storage media.

[0054] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0055] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus, and computer program products according to the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0056] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0057] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0058] In the description of this specification, the references to terms such as "one embodiment / mode," "some embodiments / modes," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, or characteristic described in connection with that embodiment / mode or example is included in at least one embodiment / mode or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment / mode or example. Moreover, the specific features, structures, or characteristics described may be combined in any suitable manner in one or more embodiments / modes or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments / modes or examples described in this specification, as well as the features of different embodiments / modes or examples.

[0059] Those skilled in the art should understand that the above embodiments are merely for illustrating the present invention and are not intended to limit the scope of the invention. Those skilled in the art can make other changes or modifications based on the above disclosure, and these changes or modifications still fall within the scope of the present invention.

Claims

1. A method for intelligent optimization design of hot-rolled steel structures, characterized in that, include: Construct a basic database containing real-time economic and cost parameters and engineering financial parameters, as well as a specification library containing standard specifications of various hot-rolled steel sections, and record the seismic performance parameters of each hot-rolled steel section. The system receives input building condition parameters and constructs an objective function with the optimization objective of maximizing the difference between the sum of multidimensional benefits and the total life cycle cost. Structural mechanics codes are used as constraints on the objective function. The objective function is solved using the specification library as the solution space to obtain multiple candidate cross-section combinations; Based on the building condition parameters and the seismic performance parameters of each candidate section included in each candidate section combination, the mechanical compliance of each candidate section is verified. Candidate section combinations that include candidate sections that fail the verification are eliminated, resulting in multiple feasible section combinations. By calling the real-time economic and cost parameters and engineering financial parameters in the basic database, the sum of multidimensional benefits and the full life cycle cost corresponding to each feasible section combination are calculated respectively, and the full life cycle benefits corresponding to each feasible section combination are obtained. The feasible cross-section combination that maximizes the net present value over the entire life cycle is extracted and used as the target cross-section combination for the intelligent optimization design of hot-rolled steel structures.

2. The intelligent optimization design method for hot-rolled steel structures as described in claim 1, characterized in that, Multidimensional benefit sum B total The calculation method is as follows: B total =Σ(w i ×PV i ), where w i PV represents the weighting coefficient corresponding to the i-th benefit; i Σ represents the present value of the i-th benefit discounted to the same time reference point; Σ represents accumulation; i represents the sequence number of the benefits included in the multidimensional benefits.

3. The intelligent optimization design method for hot-rolled steel structures as described in claim 2, characterized in that, The weighting coefficients are determined by calling the benefit assessment weight matrix corresponding to the project type based on the building condition parameters.

4. The intelligent optimization design method for hot-rolled steel structures as described in claim 2, characterized in that, The multidimensional benefits include the following: benefits from construction period reduction, benefits from green finance interest savings, and benefits from policy subsidies.

5. The intelligent optimization design method for hot-rolled steel structures as described in claim 1, characterized in that, The life cycle cost is calculated as follows: LCC = C 初 +C 运 –S 残 , where C 初 Indicates the costs of material procurement, processing, and construction; C 运 Indicates maintenance and energy costs; S 残 This represents the net value of steel recycling and the revenue from carbon trading.

6. The intelligent optimization design method for hot-rolled steel structures as described in claim 1, characterized in that, The objective function is solved using a genetic algorithm or a particle swarm optimization algorithm. The fitness function of the genetic algorithm or particle swarm optimization algorithm is directly set to the net present value over the entire life cycle, and the optimization direction is to maximize the net present value over the entire life cycle.

7. The intelligent optimization design method for hot-rolled steel structures as described in claim 1, characterized in that, Also includes: Generate and output a full life cycle economic analysis report based on the target cross-section combination.

8. An electronic device, characterized in that, include: The memory stores execution instructions; as well as A processor that executes the execution instructions stored in the memory, causing the processor to perform the intelligent optimization design method for hot-rolled steel structures as described in any one of claims 1 to 7.

9. A readable storage medium, characterized in that, The readable storage medium stores execution instructions, which, when executed by a processor, are used to implement the intelligent optimization design method for hot-rolled steel structures as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the intelligent optimization design method for hot-rolled steel structures as described in any one of claims 1 to 7.

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