Design method of multi-element weather-resistant different plates

Abstract

The invention relates to the technical field of data processing, and discloses a multi-element weather-resistant different board design method. The method comprises the following steps: carrying out trapezoidal section design processing on a geometric structure of a different plate according to an axial stress distribution rule to obtain equal-width variable-thickness pulling parameters, and carrying out stress matching calculation processing on the equal-width variable-thickness pulling parameters through a mechanical analysis algorithm to obtain thickness-stress corresponding relation data; and carrying out weather resistance fusion treatment on the multi-element formula system and the thickness-stress corresponding relation data to obtain a material component distribution scheme, and carrying out hot rolling forming optimization treatment on a different plate manufacturing process according to the material component distribution scheme to obtain multi-element weather-resistant different plate design parameters. The technical problems that in an existing steel plate design, a geometric structure is not matched with axial stress distribution, and a multi-element formula system is lack of stress feature fusion design are solved. And meanwhile, the technical problems that a variable-thickness special-shaped plate manufacturing process lacks systematic optimization, and accurate forming control over equal-width and unequal-thickness structures cannot be achieved are solved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method for designing a multi-element weather-resistant special board. Background Art

[0002] Existing steel plate manufacturing technology mainly adopts an equal thickness design scheme, and produces standard steel plate products with uniform specifications through hot rolling process. In application fields such as power towers, wind turbine towers, and street light poles, the traditional practice is to connect multiple equal thickness steel plates into the required structural shape through welding process. In order to meet the weather resistance requirements, hot-dip galvanizing and other surface treatment technologies are usually used for corrosion protection. The geometric design of steel plates in the existing technology is mainly based on the uniform force assumption, and the changing law of axial force distribution in actual engineering is not fully considered. The material formula design is relatively simple, and the steel performance is mainly improved by adding a single or a few alloy elements.

[0003] The shortcomings of the existing technology are mainly reflected in the mismatch between geometric design and force distribution, resulting in low material utilization. Steel plates of equal thickness cannot achieve optimal material configuration when subjected to varying loads. Multi-stage welding processes increase manufacturing costs and structural complexity. Surface treatment processes such as hot-dip galvanizing not only increase production costs by 500-1000 yuan per ton, but also cause environmental pollution problems. Traditional material formulas cannot meet the dual requirements of high strength and excellent weather resistance at the same time. The existing design methods lack systematic optimization means and cannot find the best balance between lightweight, economy and weather resistance.

[0004] Further analysis revealed that the existing technology lacks a geometric structure design method for the axial force distribution law, is unable to establish an accurate correspondence between thickness changes and force distribution, lacks the fusion design technology of the multi-element formula system and the structural force characteristics, is unable to achieve the optimal distribution of material components in space, lacks the manufacturing process optimization technology for variable thickness special-shaped plates, and is unable to solve the problem of precise forming control of structures of equal width and unequal thickness. The existence of these technical problems limits the development of steel plate products in the direction of lightweight, high performance and low cost. There is an urgent need to develop a systematic multi-element weather-resistant special plate design method to solve the above technical problems. Summary of the invention

[0005] This application provides a multi-element weather-resistant special plate design method, which is used to solve the technical problems in the existing steel plate design that the geometric structure does not match the axial force distribution, and the multi-element formula system lacks a fusion design with the force characteristics. At the same time, it solves the technical problems that the manufacturing process of variable thickness special-shaped plates lacks systematic optimization and cannot achieve precise forming control of equal width and unequal thickness structures.

[0006] The present application provides a multi-element weather-resistant different-plate design method, and the multi-element weather-resistant different-plate design method includes: performing trapezoidal cross-section design processing on the different-plate geometric structure according to the axial force distribution law to obtain the equal-width variable-thickness taper parameters; performing stress matching calculation processing on the equal-width variable-thickness taper parameters through a mechanical analysis algorithm to obtain the thickness-force correspondence data; performing weather resistance fusion processing on the multi-element formulation system and the thickness-force correspondence data to obtain the material composition distribution scheme; and performing hot rolling forming optimization processing on the different-plate manufacturing process according to the material composition distribution scheme to obtain the multi-element weather-resistant different-plate design parameters.

[0007] In the technical solution provided by the present application, by performing trapezoidal cross-section design processing on the different-plate geometric structure according to the axial force distribution law to obtain the equal-width variable-thickness taper parameters, the problem of mismatch between the traditional equal-thickness steel plate and the actual force distribution is solved, the precise correspondence between the plate thickness and the axial force is realized, the area with a large thickness bears a large load, and the area with a small thickness bears a small load, avoiding over-configuration and under-configuration of materials, achieving a 5%-30% savings in steel weight while ensuring the bearing capacity, and at the same time, the axial bearing capacity increases by 10%-20% instead of decreasing. By performing stress matching calculation processing on the equal-width variable-thickness taper parameters through a mechanical analysis algorithm to obtain the thickness-force correspondence data, a quantitative relationship between the geometric parameters of the plate and the mechanical properties is established, providing an accurate mechanical basis for subsequent material formulation design and avoiding the inaccuracy of relying on empirical estimation in traditional design. By performing weather resistance fusion processing on the multi-element formulation system and the thickness-force correspondence data to obtain the material composition distribution scheme, the optimized distribution of six elements such as niobium, aluminum, vanadium, titanium, silicon, and molybdenum in space is realized, enabling the high-stress area to have a better strengthening element ratio and the low-stress area to have a better weather-resistant element ratio, solving the problem that the traditional uniform formulation cannot take into account the performance requirements of different regions. By performing hot rolling forming optimization processing on the different-plate manufacturing process according to the material composition distribution scheme to obtain the multi-element weather-resistant different-plate design parameters, the process control problem in the manufacturing process of variable-thickness special-shaped plates is solved, the coordination and optimization of temperature, reduction, and rolling speed are realized, and the forming accuracy and quality stability of the product are ensured.

[0008] In a specific application field of multi - element weather - resistant different - plate design, the application of mechanical analysis algorithms has significantly improved the design accuracy and optimization effect. Through a series of data - processing steps such as calculating the cross - section geometric characteristics of equal - width tapered - thickness parameters, calculating the axial stress distribution point by point, and calculating the derivative of the thickness change rate, the algorithm realizes the accurate conversion from geometric parameters to mechanical responses. The core contribution of the algorithm lies in establishing a mathematical mapping relationship between thickness and force, transforming the design process from qualitative analysis to quantitative calculation, avoiding subjective judgment and experience dependence in traditional design. The application of interpolation algorithms and numerical integration algorithms realizes the continuous processing of discrete data and the accurate calculation of cumulative effects, providing a reliable numerical basis for the mechanical analysis of complex geometric shapes. The application of optimization algorithms, especially the Lagrange multiplier method, in process - parameter optimization realizes the search for the global optimal solution under multi - objective and multi - constraint conditions through algorithm characteristics such as constraint - condition construction, objective - function establishment, iterative solution, and convergence judgment. The convergence and stability of the algorithm ensure the reliability and engineering applicability of the optimization results. The synergistic effect of these artificial - intelligence algorithms systematically solves the complex multi - element weather - resistant different - plate design problem. Compared with the traditional trial - and - error method, the algorithm - driven design method greatly improves the design efficiency and product performance, achieving the comprehensive optimization goals of lightweight, high - performance, and low - cost, and providing important support for the technological upgrading of key infrastructure such as power - transmission towers, wind - power tower barrels, and street - light poles. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following - described drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0010] Figure 1 It is a schematic diagram of an embodiment of the multi - element weather - resistant different - plate design method in the embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0011] The embodiments of the present application provide a multi-element weather-resistant different plate design method. Terms such as "first", "second", "third", "fourth", etc. (if any) in the specification, claims and the above-mentioned drawings of the present application are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments described here can be implemented in an order other than that illustrated or described here. In addition, the term "comprising" or "having" and any variation thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily limit to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0012] For ease of understanding, the specific process of the embodiments of the present application will be described below. Please refer to Figure 1 , an embodiment of the multi-element weather-resistant different plate design method in the embodiments of the present application includes: Step S101: Perform trapezoidal cross-section design processing on the different plate geometric structure according to the axial force distribution law to obtain the equal-width variable-thickness taper parameters; Step S102: Perform stress matching calculation processing on the equal-width variable-thickness taper parameters through a mechanical analysis algorithm to obtain the thickness-force correspondence data; Step S103: Perform weather resistance fusion processing on the multi-element formulation system and the thickness-force correspondence data to obtain the material composition distribution plan; Step S104: Perform hot rolling forming optimization processing on the different plate manufacturing process according to the material composition distribution plan to obtain the multi-element weather-resistant different plate design parameters.

[0013] Specifically, when conducting trapezoidal cross-section design on the different-plate geometric structure according to the axial force distribution law, it is necessary to collect the actual working condition data of the power tower pole or the wind power tower barrel. Through the force analysis of the application working condition of the different plate, the load change curve distributed along the axis is obtained. This curve reflects the law of decreasing force from the large end to the small end. Subsequently, based on the axial force distribution curve data, an equal-width constraint design is carried out on the geometric dimensions of the plate to ensure that the width of the plate remains parallel while the thickness changes trapezoidally. Based on the width parallelization parameter, the taper optimization calculation is carried out on the thickness change gradient, and the optimal thickness difference is calculated through the numerical iteration algorithm. The thickness trapezoidal distribution data is input into the geometric modeling algorithm for cross-section parameter generation. This algorithm first performs numerical discretization on the thickness trapezoidal distribution data, converting the continuous thickness change into discrete node coordinates. According to the thickness node coordinate set, the geometric constraint calculation is carried out on the taper angle, and the numerical range of the taper degree is determined through the trigonometric function relationship. Based on the numerical range of the taper degree, the continuity interpolation is carried out on the cross-section contour, and the spline interpolation algorithm is used to generate a smooth cross-section transition curve. The smooth cross-section curve is input into the parametric modeling program for geometric reconstruction, and finally, the equal-width variable-thickness taper parameters including the length, width, and thickness change law are obtained. When performing stress matching calculation on the equal-width variable-thickness taper parameters through the mechanical analysis algorithm, the cross-section geometric characteristics of the equal-width variable-thickness taper parameters are calculated. The moment of inertia value of each section is calculated through integral operation. Based on the moment of inertia data set of each section, the axial stress distribution is calculated point by point, and the stress value of each section is calculated using the material mechanics formula. Based on the stress gradient numerical sequence, the differential derivative calculation is carried out on the thickness change rate, and the mathematical relationship between the thickness and the stress change rate is established through the numerical differential algorithm. The thickness-stress change rate correlation matrix is input into the interpolation algorithm for data smoothing to eliminate the numerical fluctuations in the calculation process. The numerical integration calculation is carried out on the continuous stress distribution function, and the cumulative stress load is calculated through the Simpson integration method. Based on the cumulative stress load data, the reverse mapping calculation is carried out on the thickness parameter to establish a one-to-one correspondence between the thickness and the force, forming the thickness-force correspondence data.

[0014] When performing weather resistance fusion processing on the multi-element formulation system and the thickness-stress correspondence data, perform component weight distribution calculation processing on the multi-element formulation system. According to the content ranges of niobium 0.03 - 0.15%, aluminum 0.2 - 0.65%, vanadium 0.02 - 1.2%, titanium 0.3 - 0.9%, silicon 0.5 - 1%, and molybdenum 0.5 - 1.5% in the disclosure, establish a niobium-aluminum-vanadium-titanium-silicon-molybdenum element concentration matrix. Quantitatively evaluate the weather resistance performance indicators according to the niobium-aluminum-vanadium-titanium-silicon-molybdenum element concentration matrix, calculate the comprehensive weather resistance performance value through the weighted summation algorithm, perform correlation analysis processing on the thickness-stress correspondence data based on the weather resistance performance value sequence, calculate the correlation strength between components and mechanical properties using the Pearson correlation coefficient algorithm, input the component-thickness-stress ternary relationship table into the optimization algorithm for formulation ratio adjustment processing, find the optimal component ratio through the genetic algorithm, perform spatial distribution calculation processing on the optimized component ratio data, calculate the concentration gradient of each element along the thickness direction, perform uniformity verification processing on the material microstructure according to the element gradient distribution along the thickness direction, verify the uniformity degree of the component distribution through variance analysis, and obtain the material component distribution plan. When performing hot rolling forming optimization processing on the dissimilar plate manufacturing process according to the material component distribution plan, perform rolling temperature range calculation processing on the material component distribution plan, calculate the most suitable rolling temperature range according to the melting point and precipitation temperature of each element, perform gradient setting processing on the roll gap change according to the segmented temperature control data, determine the reduction amount distribution at different positions through numerical calculation, perform synchronous adjustment processing on the rolling speed parameters based on the reduction amount distribution sequence, establish the matching relationship between speed and reduction amount, input the speed-reduction amount matching relationship into the process parameter optimization algorithm for numerical solution processing, the algorithm performs constraint condition construction processing on the speed-reduction amount matching relationship, sets the upper and lower boundary limits of the process parameters, performs multi-variable establishment processing on the objective function according to the process parameter boundary limit matrix, constructs an optimization function with the sheet quality as the target, performs iterative solution processing on the Lagrange multiplier method based on the rolling quality evaluation function, finds the optimal solution that meets the constraint conditions through numerical iteration, inputs the process parameter candidate solution set into the convergence judgment algorithm for optimal solution screening processing, selects the parameter combination with the highest convergence accuracy, performs forming accuracy verification calculation processing on the optimal rolling process parameter combination, verifies the thickness deviation control effect through finite element analysis, and performs fine-tuning and correction processing on the process parameters according to the thickness deviation control data, and finally obtains the multi-element weather-resistant dissimilar plate design parameters.

[0015] Taking a certain power tower pole project as an example, the length of the different-width plate is set to 12 meters, the width is 4 meters, and the thickness linearly changes from 60 millimeters to 20 millimeters. Through force analysis, a distribution curve of the axial force decreasing from 300 kN at the bottom of the tower to 100 kN at the top of the tower is obtained. After numerically discretizing this distribution curve, 24 thickness node coordinates are obtained, with a spacing of 0.5 meters between each node. Through geometric constraint calculation, the taper angle is obtained as 1.9 degrees. A smooth cross-section curve is generated using the cubic spline interpolation algorithm. Through mechanical analysis algorithm, the stress at a thickness of 60 millimeters is calculated to be 200 MPa, and the stress at a thickness of 20 millimeters is 150 MPa. A linear thickness-force correspondence relationship is established. The formula with niobium content of 0.08%, aluminum content of 0.4%, vanadium content of 0.6%, titanium content of 0.6%, silicon content of 0.75%, and molybdenum content of 1.0% is fused with the mechanical data. Through correlation analysis, it is determined that niobium element has the strongest correlation with the high-stress area. In the optimized composition distribution scheme, the niobium content is adjusted to 0.12% at the thick end and remains 0.05% at the thin end. The rolling temperature is set to a gradient control from 1150 °C to 950 °C, the reduction is rolled from the initial 80 millimeters in 8 passes to the final thickness, and the rolling speed is gradually adjusted from 1.2 m / s to 0.8 m / s. Through the Lagrange multiplier method, the final process parameter combination is optimized to achieve a thickness deviation control within the range of ±0.5 millimeters.

[0016] In a specific embodiment, the process of executing step S101 may specifically include the following steps: Perform force analysis processing on the application conditions of the different-width plate to obtain axial force distribution curve data; According to the axial force distribution curve data, perform equal-width constraint design processing on the geometric dimensions of the plate to obtain width parallelization parameters; Based on the width parallelization parameters, perform taper optimization calculation processing on the thickness change gradient to obtain thickness trapezoidal distribution data; Input the thickness trapezoidal distribution data into the geometric modeling algorithm for cross-section parameter generation processing to obtain equal-width variable-thickness taper parameters.

[0017] Specifically, when performing force analysis processing on the application conditions of the different-width plate, it is necessary to obtain the load distribution in specific application scenarios such as power tower poles, wind turbine towers, and street lamp poles. By collecting the force data of the structure under various working conditions such as wind load, self-weight, and power equipment load, the axial force change law from the root to the top of the structure is established. This analysis process simplifies the complex loads in actual engineering into a concentrated force sequence distributed along the axis, with each position point corresponding to a specific axial force value. Through the numerical fitting algorithm, the discrete force value points are connected into a continuous axial force distribution curve data. This curve reflects the characteristic that the force gradually weakens from the large end to the small end described in the specification. The slope of the curve represents the change rate of the axial force, and the integral value of the curve represents the total axial load. The axial force distribution curve data becomes the core basis for subsequent geometric design.

[0018] When conducting equal-width constraint design and processing on the geometric dimensions of the sheet based on the axial force distribution curve data, first extract the peak points and valley points of the axial force distribution curve to determine the cross-section positions corresponding to the maximum axial force and the minimum axial force. Based on the design concept of equal width but unequal thickness in the disclosure, set the width of the sheet as a fixed value, which is determined according to the load-bearing requirements of the structure and manufacturing process limitations. The width parallelization parameters include the fixed width value of the sheet, the geometric constraint conditions in the width direction, and the boundary conditions for maintaining width parallelism. During the determination of the width parallelization parameters, the load transfer path of the axial force distribution curve needs to be considered to ensure that under the premise of constant width, the change in thickness can form a matching relationship with the axial force distribution. The width parallelization parameters become the constraint conditions for the thickness change design.

[0019] When conducting taper optimization calculation and processing on the thickness change gradient based on the width parallelization parameters, taper refers to the conical change of the sheet thickness along the axial direction, and the gradient represents the rate of thickness change. The taper optimization calculation requires converting the axial force distribution curve into a thickness distribution curve. This conversion process is based on the relationship between stress and section modulus in mechanics of materials. The starting point of the thickness distribution curve corresponds to the maximum thickness at the position of the maximum axial force, and the end point corresponds to the minimum thickness at the position of the minimum axial force. The thicknesses of intermediate points are calculated through linear interpolation or non-linear interpolation algorithms. The goal of the taper optimization calculation is to minimize the material usage while meeting the load-bearing capacity. This calculation process uses a numerical optimization algorithm, with the thickness distribution as the design variable, the minimum material usage as the objective function, and the load-bearing capacity being met as the constraint condition. The optimal thickness change gradient is obtained through iterative calculation. The thickness trapezoidal distribution data includes the thickness values at each axial position and the gradient information of the thickness change.

[0020] When inputting the thickness trapezoidal distribution data into the geometric modeling algorithm for cross-sectional parameter generation processing, the geometric modeling algorithm first performs numerical discretization on the thickness trapezoidal distribution data, converting the continuous thickness change curve into a finite number of discrete thickness nodes. Each node contains the axial position coordinate and the corresponding thickness value. The discretization accuracy determines the accuracy of subsequent geometric reconstruction. The choice of the number of nodes needs to balance the calculation accuracy and calculation efficiency. Then, geometric constraint calculation processing is performed on the taper angle according to the set of thickness node coordinates. The taper angle refers to the angle between the thickness change direction and the axis, and this angle is calculated from the thickness difference and the axial spacing between adjacent thickness nodes. Geometric constraint calculation needs to ensure that the taper angle is within a reasonable range to avoid stress concentration caused by too large an angle or material waste caused by too small an angle. Based on the taper angle numerical range, continuous interpolation processing is performed on the cross-sectional profile. The interpolation algorithm connects the discrete thickness nodes into a smooth cross-sectional profile curve. The interpolation methods include linear interpolation, spline interpolation, etc. The interpolation result needs to meet the requirements of continuity and differentiability. Finally, the smooth cross-sectional curve is input into the parametric modeling program for geometric reconstruction processing. The parametric modeling program generates a three-dimensional geometric model according to the cross-sectional profile curve. This model contains all geometric information such as the length, width, and thickness change of the different plate. The equal-width variable-thickness taper parameters include key geometric parameters such as the total length of the different plate, fixed width, thickness change law, and taper angle.

[0021] In a specific embodiment, the process of performing the step of inputting the thickness trapezoidal distribution data into the geometric modeling algorithm for cross-sectional parameter generation processing may specifically include the following steps: Perform numerical discretization on the thickness trapezoidal distribution data to obtain a set of thickness node coordinates; Perform geometric constraint calculation processing on the taper angle according to the set of thickness node coordinates to obtain the taper angle numerical range; Perform continuous interpolation processing on the cross-sectional profile based on the taper angle numerical range to obtain a smooth cross-sectional curve; Input the smooth cross-sectional curve into the parametric modeling program for geometric reconstruction processing to obtain the equal-width variable-thickness taper parameters.

[0022] Specifically, when numerically discretizing the trapezoidal thickness distribution data, the continuous thickness change curve is converted into a finite number of discrete data points. The discretization process uses an equal-spacing sampling method, and the sampling interval is determined according to the total length of the different plates and the accuracy requirements. Each sampling point contains the axial position coordinate and the corresponding thickness value. The discretization accuracy directly affects the accuracy of subsequent calculations. Too few sampling points will result in loss of geometric information, while too many sampling points will increase the computational complexity. The thickness node coordinate set contains the spatial coordinate information of all sampling points. The coordinate of each node consists of three components: axial position, transverse position, and thickness value. The node coordinate set is arranged in ascending order of axial position to form an ordered data sequence. When performing geometric constraint calculation and processing on the taper angle based on the thickness node coordinate set, the taper angle refers to the angle between the thickness change direction of the different plates and the axial direction. This angle is calculated by the ratio of the thickness difference between adjacent nodes and the axial spacing. The arctangent function is used in the calculation process to convert the thickness gradient into an angle value. Geometric constraint calculation needs to check whether the taper angle at each node position is within a reasonable range. An excessively large taper angle will lead to stress concentration and manufacturing difficulties, while an excessively small taper angle will result in low material utilization rate. The numerical range of the taper degree is obtained by statistically analyzing the taper angles at all node positions. This range includes statistical parameters such as the minimum taper angle, maximum taper angle, and average taper angle. The determination of the numerical range of the taper degree needs to consider the requirements of uniform mechanical transmission described in the disclosure and the feasibility of the manufacturing process.

[0023] When performing continuous interpolation processing on the cross-sectional profile based on the numerical range of the taper degree, the interpolation algorithm connects the discrete thickness nodes into a continuous and smooth curve. The choice of interpolation method needs to consider the requirements of curve continuity and differentiability. The linear interpolation method is simple but will produce corner points, while the spline interpolation method is complex but can ensure curve smoothness. The interpolation process first constructs the interpolation basis function, then calculates the interpolation coefficients through the node coordinates, and finally generates a continuous cross-sectional profile function. The mathematical expression of the smooth cross-sectional curve contains the corresponding relationship between the axial position variable and the thickness function. The first derivative of the curve represents the thickness change rate, and the second derivative represents the thickness change acceleration. The interpolation result needs to meet the boundary conditions and continuity constraints.

[0024] When inputting the smooth cross-sectional curve into the parametric modeling program for geometric reconstruction processing, the parametric modeling program generates a three-dimensional geometric model based on the cross-sectional profile curve. The geometric reconstruction process includes steps such as curve stretching, surface generation, and solid construction. The stretching operation sweeps the two-dimensional cross-sectional profile along the axial direction to generate a three-dimensional surface. The surface generation process needs to handle the connection and stitching of the surfaces. The solid construction converts the closed surface into a solid geometric model. The equal-width variable-thickness taper parameters contain complete information such as the geometric dimensions, shape features, and manufacturing constraints of the different plates. The parameters include key geometric features such as the total length of the different plates, fixed width, thickness change function, taper angle distribution, and surface smoothness.

[0025] Taking the different plate design of a certain power steel tower as an example, the power steel tower bears wind load and the weight of power equipment. The length of the different plate is 15 meters corresponding to a standard section of the tower body. According to the thickness trapezoidal distribution data obtained from the previous mechanical analysis, the thickness linearly decreases from 70 mm at the root to 25 mm at the top. When numerically discretizing this thickness distribution data, an equal-spacing sampling of 0.5 meters is used, resulting in 31 thickness nodes. Each node contains information such as axial coordinates, thickness values, and transverse boundary coordinates. The axial coordinate of the first node is 0 meters and the thickness is 70 mm, and the axial coordinate of the 31st node is 15 meters and the thickness is 25 mm. The thickness of the intermediate nodes is calculated by linear interpolation. The thickness node coordinate set is sorted according to the axial position to form an ordered array. According to the thickness node coordinate set, the taper angles at each position are calculated. The thickness difference between adjacent nodes is 1.5 mm, and the axial spacing is 0.5 meters. The taper angle is calculated by the arctangent function to be 0.17 degrees. The taper angles at all node positions are 0.17 degrees and are consistent. The minimum value, maximum value, and average value of the taper degree numerical range are all 0.17 degrees. This angle value meets the geometric constraint requirements of the trapezoidal cross-section design in the disclosure. When performing continuous interpolation processing on the cross-section profile based on the taper degree numerical range, a cubic spline interpolation algorithm is used. The interpolation algorithm first calculates the first derivative and second derivative at each node position, and then constructs a cubic polynomial interpolation function. The thickness values of the smooth cross-section curve generated by the interpolation result at each node position are exactly the same as the original data. The continuity of the first derivative of the curve indicates that the thickness change is smooth without mutation, and the continuity of the second derivative indicates that the curvature change is smooth without inflection points. After inputting the smooth cross-section curve into the parametric modeling program, the modeling program first reads the mathematical expression and boundary conditions of the curve, and then sweeps the cross-section profile along the width direction through a stretching operation to generate the three-dimensional geometric surface of the different plate. The stretching width is set to not less than 2 meters as required by the disclosure. The surface generation process processes the surface connection and edge closure of the thickness change area. The finally generated equal-width variable-thickness taper parameters include complete geometric information such as a length of 15 meters, a width of 3 meters, a continuously changing thickness from 70 mm to 25 mm, a taper angle of 0.17 degrees, and a surface smoothness meeting the manufacturing requirements.

[0026] In a specific embodiment, the process of executing step S102 may specifically include the following steps: Perform cross-section geometric property calculation and processing on the equal-width variable-thickness taper parameters to obtain a set of moment of inertia data for each cross-section; Perform point-by-point calculation and processing on the axial stress distribution according to the set of moment of inertia data for each cross-section to obtain a stress gradient numerical sequence; Perform differential derivative calculation and processing on the thickness change rate based on the stress gradient numerical sequence to obtain a thickness-stress change rate correlation matrix; Input the thickness-stress change rate correlation matrix into the interpolation algorithm for data smoothing to obtain a continuous stress distribution function; Perform numerical integration calculation on the continuous stress distribution function to obtain cumulative stress load data; Perform inverse mapping calculation on the thickness parameter according to the cumulative stress load data to obtain the thickness-force correspondence data.

[0027] Specifically, when calculating the cross-sectional geometric properties of the equal-width variable-thickness tapered parameters, it is necessary to calculate the cross-sectional moment of inertia at each axial position of the different plate. The moment of inertia is a geometric property parameter reflecting the bending resistance of the cross-section. The calculation formula for the moment of inertia of a rectangular cross-section is: Where: is the cross-sectional moment of inertia at the axial position ; b is the width of the different plate, which remains constant; h(x) is the thickness at the axial position x; x is the position coordinate along the axis of the different plate.

[0028] Since the thickness of the different plate changes continuously along the axis while the width remains unchanged, the moment of inertia of each cross-section changes in a cubic relationship with the thickness change. The calculation process traverses all discretized node positions, calculates the corresponding cross-sectional moment of inertia according to the thickness value at each position and the fixed width, and the data set of the moment of inertia of each cross-section is arranged in order according to the axial position to form an ordered array. When performing point-by-point calculation on the axial stress distribution according to the data set of the moment of inertia of each cross-section, the calculation formula for the axial stress is: Where: is the axial stress (MPa) at the axial position x; is the axial force (N) borne at the axial position x.

[0029] Since the axial force borne by the different plate changes along the axial distribution, the stress value at each cross-section position is determined by the ratio of the axial force at that position to the moment of inertia. The point-by-point calculation process traverses all cross-section positions, performs a division operation on the corresponding axial force value and the moment of inertia value. The stress gradient numerical sequence reflects the change law of the stress along the axis, and the stress difference between adjacent cross-sections is divided by the axial spacing to obtain the stress gradient value.

[0030] When performing differential derivative calculation on the thickness change rate based on the stress gradient numerical sequence, the thickness change rate represents the change speed of the thickness with the axial position. The ratio of the thickness difference between adjacent nodes to the position difference is calculated through the numerical differential algorithm. The differential derivative calculation converts the discrete thickness data into a continuous change rate function. The thickness-stress change rate correlation matrix establishes the correspondence between the thickness change rate and the stress gradient. The rows of the matrix correspond to different axial positions, and the columns correspond to the thickness change rate and the stress gradient values.

[0031] When the thickness-stress change rate correlation matrix is input into the interpolation algorithm for data smoothing processing, the interpolation algorithm eliminates the numerical fluctuations generated by discrete calculations, and generates a continuous and smooth stress distribution function through spline interpolation or polynomial interpolation methods. The mathematical expression of the continuous stress distribution function describes the continuous change law of stress with the axial position. The derivative of the function represents the stress change rate, and the second derivative represents the stress change acceleration.

[0032] When performing numerical integration calculation processing on the continuous stress distribution function, the integration operation calculates the cumulative value of the stress function over the entire axial range. The numerical integration uses the trapezoidal integration method or the Simpson integration method, divides the integration interval into several small intervals, and calculates the integration value within each small interval by multiplying the function value by the interval length. The cumulative stress load data represents the cumulative load distribution borne by each position of the dissimilar plate. When performing reverse mapping calculation processing on the thickness parameter according to the cumulative stress load data, the reverse mapping establishes an inverse functional relationship from the cumulative load to the thickness parameter, determines the corresponding thickness value under the given load condition through numerical solution methods, and the thickness-force correspondence data establishes a one-to-one correspondence between thickness and force. This relationship data becomes the basic input for subsequent material formulation design.

[0033] In a specific embodiment, the process of executing step S103 may specifically include the following steps: Perform component weight distribution calculation processing on the multi-element formulation system to obtain the niobium-aluminum-vanadium-titanium-silicon-molybdenum element concentration matrix; Quantitatively evaluate the weather resistance performance index according to the niobium-aluminum-vanadium-titanium-silicon-molybdenum element concentration matrix to obtain a weather resistance performance numerical sequence; Perform correlation analysis processing on the thickness-force correspondence data based on the weather resistance performance numerical sequence to obtain a composition-thickness-force ternary relationship table; Input the composition-thickness-force ternary relationship table into the optimization algorithm for formulation ratio adjustment processing to obtain optimized composition ratio data; Perform spatial distribution calculation processing on the optimized composition ratio data to obtain the element gradient distribution along the thickness direction; Perform uniformity verification processing on the material microstructure according to the element gradient distribution along the thickness direction to obtain a material composition distribution scheme.

[0034] Specifically, when performing the calculation and processing of the component weight distribution for the multi-element formulation system, based on the content ranges of niobium at 0.03 - 0.15%, aluminum at 0.2 - 0.65%, vanadium at 0.02 - 1.2%, titanium at 0.3 - 0.9%, silicon at 0.5 - 1%, and molybdenum at 0.5 - 1.5% in the disclosure document, a weight distribution mechanism for each element is established. The weight distribution calculation considers the contribution degree of each element to the weather resistance performance. Through the weighted average algorithm, the element contents are converted into standardized weight coefficients. The calculation process of the weight coefficients converts the percentage values of the element contents into weight values between 0 and 1. The niobium-aluminum-vanadium-titanium-silicon-molybdenum element concentration matrix is a data matrix with six rows and multiple columns. The rows represent the six elements, and the columns represent different formulation schemes. Each element in the matrix represents the concentration value of a certain element in a specific formulation. The generation process of the concentration matrix traverses all combinations of element contents and calculates the concentration distribution of each combination.

[0035] When quantitatively evaluating the weather resistance performance indicators based on the niobium-aluminum-vanadium-titanium-silicon-molybdenum element concentration matrix, the weather resistance performance indicators include multiple dimensions such as corrosion resistance, oxidation resistance, and ultraviolet resistance. The quantitative evaluation process converts the qualitative weather resistance performance into quantitative numerical indicators. The evaluation algorithm uses the linear weighted summation method. The comprehensive evaluation function of the weather resistance performance is: Where: is the comprehensive weather resistance performance score; , , , , , are the performance weight coefficients of niobium, aluminum, vanadium, titanium, silicon, and molybdenum elements respectively; , , , , , are the concentration percentages (%) of niobium, aluminum, vanadium, titanium, silicon, and molybdenum elements respectively. The contribution values of each element to the weather resistance performance are accumulated. The contribution value of each element is obtained by multiplying the concentration of the element by the corresponding performance coefficient. The performance coefficient reflects the influence degree of different elements on the weather resistance performance. The weather resistance performance numerical sequence is arranged in the order of the formulation scheme. Each numerical value in the sequence represents the comprehensive weather resistance performance score of the corresponding formulation. The larger the numerical value, the better the weather resistance performance.

[0036] When performing the correlation analysis processing on the thickness-force corresponding relationship data based on the weather resistance performance numerical sequence, the correlation analysis algorithm calculates the correlation strength between the weather resistance performance and the thickness-force relationship. The analysis process uses the Pearson correlation coefficient algorithm. The calculation formula of the Pearson correlation coefficient is: Where: is the Pearson correlation coefficient; , are the values of two variables of the i-th sample; , are the means of the two variables; n is the total number of samples.

[0037] Calculate the linear correlation degree between two sets of data. The value range of the correlation coefficient is from -1 to 1. A positive value indicates a positive correlation, a negative value indicates a negative correlation, and the absolute value indicates the correlation strength. In the calculation process of the correlation analysis, the numerical sequence of the weather resistance performance is respectively correlated with the thickness data and the stress data to obtain the correlation degree between the weather resistance performance and the thickness, and the correlation degree between the weather resistance performance and the stress. The composition-thickness-stress ternary relationship table establishes the multivariate relationship between the three variables. The rows of the table correspond to different cross-sectional positions, and the columns correspond to the component concentration, thickness value, and stress value. Each data unit in the table records the ternary relationship data at a specific position.

[0038] When the composition-thickness-stress ternary relationship table is input into the optimization algorithm for the formulation ratio adjustment process, the optimization algorithm uses the genetic algorithm to find the optimal formulation combination. The initial population of the genetic algorithm consists of multiple formulation schemes. Each individual represents a formulation, and the gene encoding of the individual corresponds to the content ratio of each element. The fitness function evaluates the comprehensive performance of the individual, including multiple objectives such as weather resistance performance, mechanical properties, and cost. The selection operation selects excellent individuals for reproduction according to the fitness value. The crossover operation recombines the gene segments of two parent individuals to produce offspring. The mutation operation randomly changes the gene values of the individuals to increase the population diversity. After multiple generations of evolution, the optimal formulation combination is obtained. The optimized formulation ratio data includes the optimal content ratio of each element and the corresponding performance prediction values.

[0039] When performing the spatial distribution calculation process on the optimized formulation ratio data, the spatial distribution calculation determines the concentration distribution law of each element in the thickness direction of the different plates. The calculation process considers the influence of the thickness change on the element distribution. The areas with larger thicknesses bear greater stresses and require higher element contents, while the areas with smaller thicknesses bear smaller stresses and require relatively lower element contents. The distribution calculation uses the linear interpolation algorithm to establish the mapping relationship between the element concentration and the thickness according to the relationship between the thickness and the stress. The element gradient distribution along the thickness direction describes the law of the change of each element concentration with the thickness. The calculation of the gradient distribution is obtained by the ratio of the concentration difference between adjacent thickness positions to the thickness difference.

[0040] When performing uniformity verification processing on the material microstructure according to the element gradient distribution along the thickness direction, the uniformity verification algorithm checks the continuity and stability of the element distribution. During the verification process, the variance and standard deviation of the element concentration are calculated. The variance value reflects the degree of dispersion of the element distribution, and the standard deviation value represents the fluctuation range of the element concentration. The verification standard requires that the change gradient of the element concentration be within a reasonable range to avoid tissue non-uniformity caused by sudden concentration changes. The verification algorithm also checks the continuity of the element concentration at adjacent positions to ensure a smooth transition of the concentration change. The material composition distribution plan integrates the final distribution rules of all elements. The plan includes the specific content values and distribution curves of each element at different thickness positions.

[0041] In a specific embodiment, the process of executing step S104 may specifically include the following steps: Perform rolling temperature range calculation processing on the material composition distribution plan to obtain segmented temperature control data; Perform gradient setting processing on the roll gap change according to the segmented temperature control data to obtain a reduction amount distribution sequence; Perform synchronous adjustment processing on the rolling speed parameter based on the reduction amount distribution sequence to obtain a speed-reduction amount matching relationship; Input the speed-reduction amount matching relationship into the process parameter optimization algorithm for numerical solution processing to obtain the optimal rolling process parameter combination; Perform forming accuracy verification calculation processing on the optimal rolling process parameter combination to obtain thickness deviation control data; Perform fine-tuning and correction processing on the process parameters according to the thickness deviation control data to obtain multi-element weather-resistant different plate design parameters.

[0042] Specifically, when performing rolling temperature range calculation processing on the material composition distribution plan, according to the characteristics of various trace elements such as niobium, aluminum, vanadium, titanium, silicon, and molybdenum added in the disclosure, calculate the optimal solution temperature and precipitation temperature range of each element. The calculation of the rolling temperature range needs to consider the phase transformation behavior and diffusion ability of each element at different temperatures. The weighted average algorithm is used in the calculation process. The optimal rolling temperatures of each element are weighted and summed according to their content ratios to obtain the comprehensive optimal rolling temperature. At the same time, according to the spatial distribution difference of the element content, calculate the temperature requirements corresponding to different thickness positions. Areas with larger thickness require relatively higher rolling temperatures due to higher element content, and areas with smaller thickness require relatively lower rolling temperatures due to lower element content. The segmented temperature control data divides the rolling process of the different plate into multiple temperature intervals, each interval corresponding to a specific thickness range and temperature value. The temperature control data is arranged in the time series of the rolling progress to form a control curve of temperature changing with time.

[0043] When performing gradient setting processing on the roll gap change according to segmented temperature control data, the roll gap determines the final thickness of different plates. Gradient setting refers to the continuous change of the roll gap along the rolling direction. During the setting process, the roll gap value at each rolling position is calculated based on the target thickness distribution and temperature control data. The calculation algorithm uses geometric relationship derivation to convert the relationship between the target thickness and rolling temperature into the set value of the roll gap. When the temperature is high, the material has good plasticity and requires a larger reduction; when the temperature is low, the material has poor plasticity and requires a smaller reduction. The reduction distribution sequence records the reduction values at each time point during the entire rolling process. The sequence data is arranged according to the rolling progress. The distribution of the reduction needs to meet the continuity requirements of material deformation, and the difference in reduction between adjacent time points should not be too large to avoid material cracking.

[0044] When performing synchronous adjustment processing on the rolling speed parameter based on the reduction distribution sequence, there is a matching relationship between the rolling speed and the reduction. If the speed is too fast, it will cause insufficient material deformation; if the speed is too slow, it will lead to low production efficiency. The synchronous adjustment processing determines the corresponding rolling speed according to the magnitude of the reduction. The adjustment algorithm uses an inverse proportional function relationship. When the reduction is large, the rolling speed is relatively slow; when the reduction is small, the rolling speed is relatively fast. The speed adjustment also needs to consider the strain rate sensitivity of the material. Different element contents correspond to different optimal strain rates. The speed-reduction matching relationship establishes a functional relationship between the two parameters, and this relationship is extracted from experimental data through a data fitting algorithm. The mathematical expression of the matching relationship describes the quantitative correspondence law between the speed and the reduction.

[0045] When inputting the speed-reduction matching relationship into the process parameter optimization algorithm for numerical solution processing, the goal of the optimization algorithm is to find the best combination of process parameters on the premise of meeting the product quality requirements. The numerical solution uses the Lagrange multiplier method, which converts the constrained optimization problem into an unconstrained optimization problem. The solution process first constructs the objective function and constraint conditions. The objective function takes product quality and production efficiency as the optimization goals, and the constraint conditions include equipment capacity limitations, material property requirements, process stability requirements, etc. The Lagrange multiplier method incorporates the constraint conditions into the objective function by introducing Lagrange multipliers to form the Lagrange function. The solution process calculates the partial derivatives of the Lagrange function and sets them to zero to obtain the necessary conditions for the optimal solution, and solves the system of equations through a numerical iteration algorithm to obtain the optimal combination of process parameters, which includes key parameters such as the optimal rolling temperature, the optimal reduction distribution, and the optimal rolling speed.

[0046] When performing forming accuracy verification calculation on the optimal rolling process parameter combination, the verification calculation uses the finite element analysis method to simulate the material deformation behavior during the rolling process. In the calculation process, the optimal process parameters are input into the finite element model as boundary conditions. The model calculates the stress and strain distribution and the final geometry of each position of the different plates. The forming accuracy is evaluated by calculating the deviation between the actual thickness and the target thickness. The deviation calculation uses statistical analysis methods to calculate statistical parameters such as the mean, standard deviation, and maximum deviation of the thickness deviation. The thickness deviation control data records the thickness deviation values at each position and the statistical distribution of the deviation. The control data also includes the spatial distribution law of the deviation and the change trend of the deviation with the process parameters.

[0047] When performing fine-tuning and correction on the process parameters according to the thickness deviation control data, the feedback control algorithm is used for fine-tuning and correction. The corresponding process parameters are adjusted according to the magnitude and direction of the thickness deviation. The correction algorithm uses a proportional-integral-derivative controller. The proportional term is corrected according to the current deviation magnitude, the integral term is corrected according to the historical deviation accumulation, and the derivative term is corrected according to the deviation change trend. The magnitude of the parameter correction is determined according to the sensitivity analysis of the deviation. The sensitivity analysis calculates the influence degree of the process parameter change on the thickness deviation. The corrected process parameters need to be re-verified and calculated to confirm the correction effect. The final design information such as the process parameters, material composition distribution, and geometric dimensions determined by the integration of the multi-element weather-resistant different plate design parameters.

[0048] In a specific embodiment, the process of inputting the speed-reduction amount matching relationship into the process parameter optimization algorithm for numerical solution can specifically include the following steps: Conduct constraint condition construction on the speed-reduction amount matching relationship to obtain the process parameter boundary limit matrix; Conduct multi-variable establishment on the objective function according to the process parameter boundary limit matrix to obtain the rolling quality evaluation function; Based on the rolling quality evaluation function, perform iterative solution on the Lagrange multiplier method to obtain the process parameter candidate solution set; Input the process parameter candidate solution set into the convergence judgment algorithm for optimal solution screening to obtain the optimal rolling process parameter combination.

[0049] Specifically, when constructing the constraint conditions for the speed-reduction amount matching relationship, the constraint conditions include multiple dimensions such as equipment physical limitations, material property limitations, and process stability limitations. The construction process first analyzes the hardware constraints such as the maximum pressure-bearing capacity, maximum rolling speed range, and temperature control accuracy of the rolling equipment, then determines the material constraints such as the deformation resistance range, strain rate sensitivity, and temperature sensitivity according to the material characteristics of the multi-element weathering steel in the disclosure, and finally combines the geometric characteristics of unequal thickness with equal width of different plates to determine the process constraints such as thickness change continuity, surface quality requirements, and dimensional accuracy requirements. The construction of the constraint conditions uses inequality mathematical expressions to convert various limiting conditions into numerical boundaries. The process parameter boundary limit matrix is a data matrix with multiple rows and two columns. The number of rows corresponds to the number of constraint conditions, and the two columns respectively correspond to the lower and upper boundary values of each constraint. Each element in the matrix records the numerical range of a specific constraint condition. The boundary limit matrix is sorted according to the importance of the constraint conditions, and the key constraint conditions are arranged in the front position of the matrix.

[0050] When performing the multi-variable establishment process on the objective function according to the process parameter boundary limit matrix, the objective function is a mathematical expression for evaluating the comprehensive performance of the rolling process. The multi-variable establishment process integrates multiple objectives such as rolling quality, production efficiency, and energy consumption cost into a single optimization objective. The establishment process uses the weighted summation method to assign weight coefficients according to the importance of each objective. The rolling quality objective is quantified by indicators such as thickness accuracy, surface quality, and mechanical properties. The production efficiency objective is quantified by indicators such as rolling speed, equipment utilization rate, and output. The energy consumption cost objective is quantified by indicators such as power consumption, equipment wear, and labor cost. The rolling quality evaluation function linearly combines multiple quantified indicators according to the weight coefficients. The independent variables of the function include process parameters such as rolling temperature, reduction amount, and rolling speed. The function value represents the comprehensive quality score under a given combination of process parameters. The mathematical form of the evaluation function is a multi-variable non-linear function, and the partial derivative of the function represents the influence degree of each process parameter on the quality score.

[0051] When the Lagrange multiplier method is iteratively solved based on the rolling quality evaluation function, the Lagrange multiplier method converts the constrained optimization problem into an unconstrained optimization problem. In the solution process, a Lagrange function is constructed, which links the objective function and the constraint conditions through the Lagrange multiplier. The iterative solution uses the gradient descent algorithm. In each iteration, the partial derivatives of the Lagrange function with respect to all variables are calculated, and the direction and step size of parameter adjustment are determined according to the signs and magnitudes of the partial derivatives. During the iteration process, the process parameters and the Lagrange multiplier are updated simultaneously. The update of the process parameters follows the negative direction of the gradient of the objective function, and the update of the Lagrange multiplier is determined according to the degree of violation of the constraint conditions. The convergence criteria for the iterative solution include multiple indicators such as the change amplitude of the objective function value, the change amplitude of the parameters, and the satisfaction degree of the constraint conditions. When all the convergence criteria are satisfied simultaneously, the iteration process ends. The set of candidate solutions for the process parameters contains all the parameter combinations that meet the convergence conditions during the iteration process. Each candidate solution in the set corresponds to a specific set of process parameter values and the corresponding objective function value.

[0052] When the set of candidate solutions for the process parameters is input into the convergence judgment algorithm for optimal solution screening, the convergence judgment algorithm evaluates the stability and reliability of the candidate solutions. In the screening process, first, the objective function values of each candidate solution are calculated, and then they are sorted according to the magnitudes of the function values. The sorting result places the candidate solution with the optimal objective function value in the front position. Then, the sorted candidate solutions are subjected to a stability test, which is implemented by the perturbation analysis method. A small-amplitude parameter perturbation is applied near the candidate solution, and the change in the objective function value after the perturbation is calculated. The candidate solution with a smaller change in the function value has better stability. The convergence judgment also includes the test of the satisfaction degree of the constraint conditions, and the candidate solutions that strictly meet all the constraint conditions are preferentially selected. The optimal solution screening uses a multi-criteria decision-making method, comprehensively considering multiple evaluation indicators such as the objective function value, stability, and constraint satisfaction degree. The optimal rolling process parameter combination is the final result of the screening process, and this combination contains the specific values of the key process parameters such as rolling temperature, reduction, and rolling speed.

[0053] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-element weather-resistant different plate design method, characterized in that, The method includes: Performing trapezoidal cross-section design processing on the dissimilar plate geometric structure according to the axial force distribution law to obtain equal-width variable-thickness taper parameters; Performing stress matching calculation processing on the equal-width variable-thickness taper parameters through a mechanical analysis algorithm to obtain thickness-force corresponding relationship data; Performing weather resistance fusion processing on the multi-element formula system and the thickness-force corresponding relationship data to obtain a material composition distribution scheme; Performing hot rolling forming optimization processing on the dissimilar plate manufacturing process according to the material composition distribution scheme to obtain multi-element weather-resistant dissimilar plate design parameters.

2. The multi-element weather-resistant different plate design method according to claim 1, characterized in that The performing trapezoidal cross-section design processing on the dissimilar plate geometric structure according to the axial force distribution law to obtain equal-width variable-thickness taper parameters includes: Performing force analysis processing on the application conditions of the dissimilar plate to obtain axial force distribution curve data; Performing equal-width constraint design processing on the plate geometric dimensions according to the axial force distribution curve data to obtain width parallelization parameters; Performing taper optimization calculation processing on the thickness change gradient based on the width parallelization parameters to obtain thickness trapezoidal distribution data; Inputting the thickness trapezoidal distribution data into a geometric modeling algorithm for cross-section parameter generation processing to obtain equal-width variable-thickness taper parameters.

3. The multi-element weather-resistant different plate design method according to claim 2, wherein The inputting the thickness trapezoidal distribution data into a geometric modeling algorithm for cross-section parameter generation processing to obtain equal-width variable-thickness taper parameters includes: Performing numerical discretization processing on the thickness trapezoidal distribution data to obtain a thickness node coordinate set; Performing geometric constraint calculation processing on the taper angle according to the thickness node coordinate set to obtain a taper degree numerical range; Performing continuous interpolation processing on the cross-section contour based on the taper degree numerical range to obtain a smooth cross-section curve; Inputting the smooth cross-section curve into a parametric modeling program for geometric reconstruction processing to obtain equal-width variable-thickness taper parameters.

4. The multi-element weather-resistant different plate design method according to claim 1, wherein, The performing stress matching calculation processing on the equal-width variable-thickness taper parameters through a mechanical analysis algorithm to obtain thickness-force corresponding relationship data includes: Performing cross-section geometric characteristic calculation processing on the equal-width variable-thickness taper parameters to obtain a set of moment of inertia data for each cross-section; Performing point-by-point calculation processing on the axial stress distribution according to the set of moment of inertia data for each cross-section to obtain a stress gradient numerical sequence; Performing differential derivative calculation processing on the thickness change rate based on the stress gradient numerical sequence to obtain a thickness-stress change rate correlation matrix; Inputting the thickness-stress change rate correlation matrix into an interpolation algorithm for data smoothing processing to obtain a continuous stress distribution function; Performing numerical integration calculation processing on the continuous stress distribution function to obtain cumulative stress load data; Performing reverse mapping calculation processing on the thickness parameters according to the cumulative stress load data to obtain thickness-force corresponding relationship data.

5. The multi-element weather-resistant different plate design method according to claim 1, characterized in that The performing weather resistance fusion processing on the multi-element formula system and the thickness-force corresponding relationship data to obtain a material composition distribution scheme includes: Performing component weight distribution calculation processing on the multi-element formula system to obtain a niobium-aluminum-vanadium-titanium-silicon-molybdenum element concentration matrix; Performing quantitative evaluation processing on the weather resistance performance indicators according to the niobium-aluminum-vanadium-titanium-silicon-molybdenum element concentration matrix to obtain a weather resistance performance numerical sequence; Performing correlation analysis processing on the thickness-force corresponding relationship data based on the weather resistance performance numerical sequence to obtain a composition-thickness-force ternary relationship table; Input the ternary relationship table of composition - thickness - stress into the optimization algorithm for adjusting the formulation ratio to obtain the optimized composition ratio data; Perform spatial distribution calculation on the optimized composition ratio data to obtain the element gradient distribution along the thickness direction; Perform uniformity verification on the material microstructure according to the element gradient distribution along the thickness direction to obtain the material composition distribution plan.

6. The multi-element weather-resistant different plate design method according to claim 1, characterized in that Optimize the hot rolling forming process of the dissimilar plate manufacturing process according to the material composition distribution plan to obtain the design parameters of the multi - element weathering dissimilar plate, including: Perform calculation on the rolling temperature range of the material composition distribution plan to obtain the segmented temperature control data; Perform gradient setting on the change of roll gap according to the segmented temperature control data to obtain the reduction amount distribution sequence; Synchronously adjust the rolling speed parameters based on the reduction amount distribution sequence to obtain the speed - reduction amount matching relationship; Input the speed - reduction amount matching relationship into the process parameter optimization algorithm for numerical solution to obtain the optimal combination of rolling process parameters; Perform forming accuracy verification calculation on the optimal combination of rolling process parameters to obtain the thickness deviation control data; Fine - tune and correct the process parameters according to the thickness deviation control data to obtain the design parameters of the multi - element weathering dissimilar plate.

7. The multi-element weather-resistant different plate design method according to claim 6, characterized in that, The step of inputting the speed - reduction amount matching relationship into the process parameter optimization algorithm for numerical solution to obtain the optimal combination of rolling process parameters includes: Construct the constraint conditions for the speed - reduction amount matching relationship to obtain the process parameter boundary limit matrix; Establish a multi - variable objective function according to the process parameter boundary limit matrix to obtain the rolling quality evaluation function; Perform iterative solution on the Lagrange multiplier method based on the rolling quality evaluation function to obtain the set of candidate process parameter solutions; Input the set of candidate process parameter solutions into the convergence judgment algorithm for optimal solution screening to obtain the optimal combination of rolling process parameters.

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