Mechanical correction optimization method and device for steel structure welding and electronic equipment

Abstract

The invention provides a mechanical correction optimization method and device for steel structure welding and electronic equipment, and relates to the technical field of steel structure welding.The mechanical correction optimization method for steel structure welding comprises the steps that a steel structure deformation model is obtained through preset simulation software according to obtained design data and welding parameters of a steel structure; based on the steel structure deformation model, a mechanical correction model of the steel structure is established according to the obtained mechanical correction process data; and the mechanical correction model is optimized through mechanical correction simulation, optimized mechanical correction process data are obtained, and the optimized mechanical correction process data are used for conducting mechanical correction on the welded steel structure. According to the method, the mechanical correction process data are optimized through modeling, then the correction process is controlled according to the optimized mechanical correction process data, welding residual stress and deformation are effectively reduced, the alignment precision and the overall performance of a welded joint are improved, and therefore the welding quality is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of steel structure welding, and in particular to a mechanical correction optimization method, device and electronic equipment for steel structure welding. Background Art

[0002] With the continuous development of modern steel structure manufacturing technology, it is widely used in construction, ships, bridges, automobiles and other fields due to its high strength, light weight and good seismic resistance. Welding, as a major means of connecting steel components, can not only effectively connect different steel materials together, but also meet the manufacturing needs of complex structures. The welding quality directly affects the safety and durability of the entire structure.

[0003] However, due to the influence of transient heating and cooling processes during welding, when the weld metal cools and solidifies rapidly, the stress generated exceeds the yield strength of the material and causes plastic deformation. These deformations continue to accumulate and may cause welding deformation of the steel structure, affecting the welding quality of the steel structure. Summary of the invention

[0004] The problem solved by the invention is how to improve the welding quality of steel structures.

[0005] In order to solve the above problems, the present invention provides a mechanical correction optimization method, device and electronic equipment for steel structure welding.

[0006] In a first aspect, the present invention provides a method for mechanical correction optimization of steel structure welding, comprising:

[0007] According to the obtained design data and welding parameters of the steel structure, the deformation model of the steel structure is obtained through the preset simulation software;

[0008] Based on the deformation model of the steel structure, a mechanical correction model of the steel structure is established according to the acquired mechanical correction process data;

[0009] The mechanical correction model is optimized through mechanical correction simulation to obtain optimized mechanical correction process data, wherein the optimized mechanical correction process data is used to perform mechanical correction on the welded steel structure.

[0010] Optionally, obtaining the steel structure deformation model by using preset simulation software includes:

[0011] Obtaining measured deformation data of the steel structure after welding;

[0012] Establishing an initial steel structure deformation model of the steel structure according to the design data and the welding parameters;

[0013] According to the comparison result of the simulated deformation data of the initial steel structure deformation model and the measured deformation data, the initial model is optimized to obtain the steel structure deformation model.

[0014] Optionally, establishing an initial steel structure deformation model of the steel structure according to the design data and the welding parameters includes:

[0015] According to the design data, a steel structure model is established by using the simulation software;

[0016] The steel structure model is subjected to simulated welding according to the welding parameters to obtain an initial steel structure deformation model.

[0017] Optionally, optimizing the initial model to obtain the steel structure deformation model according to a comparison result of the simulated deformation data of the initial steel structure deformation model and the measured deformation data includes:

[0018] Determining simulated deformation data according to the initial steel structure deformation model;

[0019] Determining whether the simulated deformation data is accurate according to a comparison result between the simulated deformation data and the measured deformation data;

[0020] If yes, the initial steel structure deformation model is determined as the steel structure deformation model;

[0021] If not, the initial steel structure deformation model is optimized until accurate simulation deformation data is obtained, and the optimized initial steel structure deformation model is determined as the steel structure deformation model.

[0022] Optionally, establishing the mechanical correction model of the steel structure according to the acquired mechanical correction process data includes:

[0023] Obtaining measured corrected deformation data of the steel structure;

[0024] Establishing an initial mechanical correction model according to the steel structure deformation model and the mechanical correction process data;

[0025] Performing correction simulation on the initial mechanical correction model to obtain simulated correction deformation data of the steel structure;

[0026] According to the comparison result of the simulated correction deformation data and the measured correction deformation data, the initial mechanical correction model is optimized to obtain the mechanical correction model.

[0027] Optionally, establishing an initial mechanical correction model according to the steel structure deformation model and the mechanical correction process data includes:

[0028] According to the steel structure deformation model and the mechanical correction process data, a roller model is established at a preset position of the steel structure deformation model;

[0029] The initial mechanical correction model is generated according to the steel structure deformation model and the roller model, and boundary conditions of the initial mechanical correction model are set.

[0030] Optionally, the setting of the boundary conditions of the initial mechanical correction model includes:

[0031] obtaining actual mechanical correction data of the steel structure;

[0032] The boundary conditions of the roller model and the steel structure deformation model element are set according to the actual mechanical correction data.

[0033] Optionally, the optimizing the mechanical correction model through mechanical correction simulation to obtain optimized mechanical correction process data includes:

[0034] Performing mechanical correction simulation on the mechanical correction model according to the preset mechanical correction working condition to obtain working condition correction data corresponding to each mechanical correction working condition;

[0035] The mechanical correction process data of the mechanical correction model is optimized according to the comparison results of all the working condition correction data to obtain the optimized mechanical correction process data.

[0036] In a second aspect, the present invention provides a mechanical correction optimization device for steel structure welding, comprising:

[0037] The first simulation module is used to obtain a deformation model of the steel structure through a preset simulation software according to the acquired design data and welding parameters of the steel structure;

[0038] A second simulation module is used to establish a mechanical correction model of the steel structure based on the deformation model of the steel structure and according to the acquired mechanical correction process data;

[0039] The optimization module is used to optimize the mechanical correction model through mechanical correction simulation to obtain optimized mechanical correction process data, wherein the optimized mechanical correction process data is used to perform mechanical correction on the welded steel structure.

[0040] In a third aspect, the present invention provides an electronic device, including a memory and a processor;

[0041] The memory is used to store computer programs;

[0042] The processor is used to implement the mechanical correction optimization method for steel structure welding as described in the first aspect when executing the computer program.

[0043] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the mechanical correction optimization method for steel structure welding as described in the first aspect is implemented.

[0044] The beneficial effects of the mechanical correction optimization method, device and electronic device for steel structure welding of the present invention are as follows: according to the design data and welding parameters of the steel structure, the welding simulation of the steel structure can be performed using simulation software to obtain the steel structure deformation model of the steel structure, so that the deformation that may occur after the steel structure is welded can be accurately predicted. Through the steel structure deformation model, the deformed parts can be processed and optimized during welding and correction, thereby improving the welding quality of the steel structure. Through the steel structure deformation model, the mechanical correction model is established in combination with the mechanical correction process data under actual working conditions. The mechanical correction model has strong pertinence and can fully consider the actual deformation degree and distribution of the steel structure after welding, thereby avoiding damage to the material performance of the steel structure due to overcorrection, or insufficient correction that cannot effectively eliminate welding deformation. Through the mechanical correction model, it can be ensured that the correction process can accurately act on the deformed parts, so that the steel structure is restored to a shape that meets the design requirements, thereby ensuring the final quality of the welding. Through the mechanical correction model, the deformation model of the steel structure is mechanically corrected and simulated, and the correction process parameters under different working conditions can be repeatedly tested and optimized, thereby obtaining optimized mechanical correction process data. During the simulation process, the stress changes of the steel structure under different parameter combinations can be observed, and then the optimal optimized mechanical correction process data can be found through mechanical correction simulation. Therefore, the welded steel structure can be mechanically corrected by optimizing the mechanical correction process data, which can effectively improve the correction efficiency. In addition, optimizing the mechanical correction process data can also improve the correction accuracy, improve the accuracy of steel structure welding, avoid the performance degradation of the welded steel structure due to correction errors, and further improve the welding quality of the steel structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of a flow chart of a method for mechanical correction optimization of steel structure welding according to an embodiment of the present invention;

[0046] Figure 2 is a schematic diagram of a finite element model of a steel structure according to an embodiment of the present invention;

[0047] Figure 3 A cloud diagram of the stress field simulation results of the welded steel structure according to an embodiment of the present invention;

[0048] Figure 4 A cloud diagram of deformation field simulation results of a welded steel structure according to an embodiment of the present invention;

[0049] Figure 5A schematic structural diagram of a mechanical correction model of a steel structure according to an embodiment of the present invention;

[0050] Figure 6 A simulated stress field cloud diagram of a steel structure after mechanical correction according to an embodiment of the present invention;

[0051] Figure 7 A simulated deformation field cloud diagram of a steel structure after mechanical correction according to an embodiment of the present invention;

[0052] Figure 8 It is a structural schematic diagram of a mechanical correction optimization device for steel structure welding according to an embodiment of the present invention;

[0053] Fig. 9 The figure is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be interpreted as being limited to the embodiments described herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention.

[0055] It should be understood that the various steps described in the method embodiments of the present invention may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present invention is not limited in this respect.

[0056] The term "including" and its variations used in this document are open inclusions, that is, "including but not limited to"; the term "based on" means "based at least in part on"; the term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments"; the term "optionally" means "optional embodiments". The relevant definitions of other terms will be given in the following description. It should be noted that the concepts of "first", "second", etc. mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0057] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0058] The names of the messages or information exchanged between multiple devices in the embodiments of the present invention are only used for illustrative purposes, and are not used to limit the scope of these messages or information.

[0059] like Figure 1 As shown, an embodiment of the present invention provides a mechanical correction optimization method for steel structure welding, comprising:

[0060] S100, obtaining a deformation model of the steel structure through a preset simulation software according to the obtained design data and welding parameters of the steel structure.

[0061] Specifically, steel structures are usually obtained by welding steel structure plate units. The design data of the steel structure includes the geometric dimension parameters and material parameters of the steel structure plate units that constitute the steel structure. Among them, the geometric dimension parameters include the parameters of spatial geometric dimensions, flatness and the angles of the plate units on both sides of the weld. High-precision instruments can be used to measure the calibration points set on the steel structure plate units before and after welding, so as to obtain the geometric dimension parameters before welding and the actual deformation after welding. Material parameters include basic mechanical properties, cyclic properties and phase change transformation properties of materials at room temperature and high temperature. These parameters have an important influence on the deformation during welding, such as elastic modulus, Poisson's ratio, yield strength, thermal expansion coefficient, thermal conductivity and specific heat capacity of steel. The parameters of different grades of steel will be different. For example, ordinary carbon structural steel Q235 and low-alloy high-strength structural steel Q345 have differences in strength and thermophysical properties. These differences may cause different deformations during welding. Welding parameters include but are not limited to parameter information such as the number of welds, width, welding speed, sequence, voltage, current, groove form and width

[0062] Furthermore, the geometric size parameters of the steel structure plate unit in the design data of the steel structure are input into the finite element simulation software to construct the geometric model of the steel structure, such as Figure 2As shown in the figure, a steel structure model established by finite element simulation software is required. In the modeling process, the accuracy of the model should be ensured to accurately reflect the actual geometric parameters of the steel structure plate unit of the steel structure. According to the corresponding material parameters, the corresponding material properties are assigned to the steel structure model in the simulation software, including inputting mechanical parameters such as elastic modulus and Poisson's ratio and thermal expansion coefficient, thermal conductivity, specific heat capacity and other thermal physical parameters into the corresponding material property setting interface in the software to ensure the accuracy of these parameters so that the software can accurately simulate the thermal-mechanical behavior of the steel structure during welding. In order to perform numerical simulation, the steel structure model needs to be meshed. The density and type of the mesh will affect the accuracy and calculation efficiency of the simulation results. In the vicinity of the weld and in the area where stress and deformation are concentrated, a finer mesh should be used to more accurately capture the changes in temperature field, stress field and deformation. For example, for the welding simulation of thin plate structures, triangular or quadrilateral shell elements can be used, and the mesh can be refined around the weld. For thick plate structures, three-dimensional solid elements may be used for meshing. Determine the welding method according to the welding parameters used, and select a suitable heat source model in the simulation software. For example, for manual arc welding, a double ellipsoid heat source model is usually used; for gas shielded welding, a Gaussian heat source model may be used. Then, according to the actual welding current, voltage, welding speed and other parameters in the welding parameters, set the relevant parameters in the heat source model, such as heat flux density distribution, arc effective radius, etc., to accurately simulate the heat input during welding. In the software, set the welding path according to the actual welding sequence. For multi-layer welding, you can set the welding start point, end point and welding direction of each layer, and set the interlayer temperature control parameters according to the actual situation. Through such settings, the software can simulate the real welding process, including the dynamic process of heat accumulation and stress release during welding. After completing the model and parameter settings, start the calculation program of the simulation software. The software will perform numerical simulation of the welding process based on the set welding parameters and steel structure model and the principle of thermal-mechanical coupling. During the calculation process, the software will solve a series of physical equations such as the heat conduction equation and the stress-strain equation, and calculate the temperature, stress and deformation of each part of the steel structure in each time step, such as Figure 3 As shown in the figure, it is a cloud diagram of the stress field simulation results of the steel structure after welding. Figure 4As shown in the figure, it is a cloud map of the deformation field simulation results of the steel structure after welding. After the simulation calculation is completed, the software will output the deformation results of the steel structure during the welding process, that is, the steel structure deformation model. These results can be presented in various forms such as cloud maps and deformation animations. For example, the overall deformation shape of the steel structure after welding can be obtained, such as the degree of bending and distortion, etc., and the deformation details of the local area (such as near the weld and the node) can also be viewed. The steel structure deformation model can intuitively display the deformation state of the steel structure after welding, providing a basis for subsequent deformation control and correction. In addition to the steel structure deformation model, the simulation software can also output the temperature field distribution, stress field distribution and other results during the welding process. By analyzing the temperature field, the size and shape of the welding heat affected zone and the propagation law of temperature in the steel structure can be understood. The analysis of the stress field can reveal the size and distribution of the residual stress generated during the welding process. These residual stresses are closely related to the welding deformation and have an important influence on the mechanical properties and service life of the steel structure. By comprehensively analyzing these results, the influence of the welding process on the steel structure can be comprehensively evaluated, providing a reference for optimizing welding parameters and steel structure design.

[0063] S200: Based on the steel structure deformation model, a mechanical correction model of the steel structure is established according to the acquired mechanical correction process data.

[0064] Specifically, the specific deformation data of the components are obtained from the steel structure deformation model, including the overall bending deformation, twisting angle, out-of-plane deformation and other macro deformation information. For example, for a steel beam, the maximum deflection value in the length direction is measured, that is, the vertical displacement of the midpoint of the steel beam relative to the line connecting the two end support points. This data can be used to determine the force and direction required for subsequent correction. As well as the angular deformation of the steel structure plate unit, the local bulge or depression near the weld, etc. For angular deformation, the deviation value of the angle between the two plates at the welded joint is measured; for local deformation, the range of the deformation area and the maximum deformation depth are determined. At the same time, the steel structure deformation model includes the distribution of residual stress after welding. By analyzing the stress cloud map, the stress concentration area is determined. These areas are usually the areas that need to be focused on in the subsequent mechanical correction process, because improper correction operations may further deteriorate the stress state and cause defects such as cracks in the components. For example, there may be high residual tensile stress at the welding node. When correcting, it is necessary to consider how to relieve these stresses while eliminating deformation.

[0065] Furthermore, if Figure 5As shown. The actual mechanical correction process data of the steel structure is obtained, and the actual setting position of the correction roller on the steel structure is obtained according to the mechanical correction process data, and the correction roller model A is set at the corresponding position of the steel structure deformation model according to the setting position, so that the mechanical correction model of the steel structure is generated by the set correction roller model A and the steel structure deformation model B. Since the extracted steel structure deformation model B has its own grid, the plate unit of the steel structure does not need to continue to divide the grid, and only the roller is divided into grids. To ensure the accuracy of the calculation, its grid size is consistent with the grid size of the initial welded steel structure deformation model. At the same time, the boundary conditions of the correction roller model A and the steel structure deformation model B are set according to the actual mechanical correction situation. The boundary conditions include the initial position of the roller, the spacing, the running angular velocity, the definition of the contact surface between the roller model and the steel plate, the friction coefficient, the roller pressure size and other data information.

[0066] S300, optimizing the mechanical correction model through mechanical correction simulation to obtain optimized mechanical correction process data, wherein the optimized mechanical correction process data is used to perform mechanical correction on the welded steel structure.

[0067] Specifically, according to different mechanical correction working conditions, the corresponding mechanical correction speed, pressure, correction times and rolling area and other parameter combinations are determined, and mechanical correction simulation is performed according to the parameter combinations of different working conditions, so as to obtain the deformation field of the steel structure under different working condition parameter combinations. Different working condition combinations can also be formed by changing one or more parameters in the above parameter combinations. For example, a set of working condition parameter combinations is set, the correction pressure and rolling area are kept unchanged, the correction speed is gradually increased, and the deformation recovery of the steel structure plate unit under different correction speeds is observed; or in another set of working condition parameter combinations, the correction speed and the number of corrections are fixed, the size of the correction pressure is changed, and the influence of different correction pressures on the deformation field of the plate unit is studied; multiple parameters such as the number of corrections, rolling area and correction speed can also be changed at the same time to form a more complex working condition parameter combination to simulate various situations that may occur in actual production. Use tools such as finite element analysis software to simulate the mechanical correction process under different working condition parameter combinations. During the simulation, the software will calculate the stress and deformation inside the plate unit at each moment during the correction process based on the set parameter combination and the material properties and geometric shape of the steel structure plate unit. The deformation field data includes the displacement and strain value of each point of the plate unit. These data can be displayed intuitively in the form of cloud maps, curves, etc., such as Figure 6 As shown in the figure, it is the simulated stress field cloud map after mechanical correction. Figure 7 The figure shows the simulated deformation field cloud map after mechanical correction. For example, through the displacement cloud map, we can clearly see which parts of the plate unit have large deformation and which parts have small deformation during the correction process. Through the strain cloud map, we can analyze whether the stress distribution inside the plate unit is uniform and whether there is a stress concentration area.

[0068] Furthermore, observe whether the deformation of the plate unit of the steel structure is uniform after correction under different working condition combinations. By comparing the final deformation of the plate and different parts of the structure, evaluate whether the correction parameter combination can restore the plate unit to a more uniform state. For example, if the deformation at one end of the plate unit is well corrected under a certain working condition, but there is still a large deformation at the other end, it means that the parameter combination under this working condition may be unreasonable and needs further adjustment. Analyze the stress conditions inside the steel structure during and after the correction process, whether there is stress concentration, and the size and distribution of residual stress. If under a certain working condition, although the deformation of the plate unit is corrected, a large residual stress is generated inside or stress concentration occurs in certain areas, then the parameter combination under this working condition may have an adverse effect on the long-term performance of the plate unit and needs to be optimized. Considering factors such as the time and cost spent on the correction process, by comparing the number of corrections and time required to achieve the same correction effect under different working condition combinations, evaluate which parameter combination can improve the correction efficiency while ensuring the correction quality. For example, a certain working condition combination may be able to correct the deformation well, but it requires multiple repeated operations, resulting in a long correction time. In this case, it is necessary to find a parameter combination that can achieve a similar effect with fewer correction times. According to the above analysis results, the mechanical correction parameter combination is adjusted and optimized. For example, if it is found that the correction speed is too fast under a certain working condition, resulting in insufficient correction, the correction speed can be appropriately reduced; and when the correction pressure is too large to cause stress concentration, the correction pressure can be reduced and combined with an appropriate increase in the number of corrections to achieve a better correction effect. Through multiple simulation and analysis iterations, the parameter combination is continuously optimized, and finally a reasonable parameter combination that can realize the optimization of the mechanical correction process of the steel structure plate unit welding deformation is obtained, and the optimized parameter combination is determined as the final optimized mechanical correction process data, so that the welded steel structure is mechanically corrected by optimizing the mechanical correction process data, which can ensure the correction quality, improve the correction efficiency, and ultimately improve the welding quality.

[0069] In this embodiment, according to the design data and welding parameters of the steel structure, the simulation software can be used to simulate the welding of the steel structure, and the steel structure deformation model of the steel structure can be obtained, so that the deformation that may occur after the steel structure is welded can be accurately predicted. Through the steel structure deformation model, the deformed parts can be processed and optimized during welding and correction, thereby improving the welding quality of the steel structure. Through the steel structure deformation model, a mechanical correction model is established in combination with the mechanical correction process data under actual working conditions. The mechanical correction model has strong pertinence and can fully consider the actual deformation degree and distribution of the steel structure after welding, so as to avoid damage to the material performance of the steel structure due to overcorrection, or insufficient correction that cannot effectively eliminate welding deformation. Through the mechanical correction model, it can be ensured that the correction process can accurately act on the deformed parts, so that the steel structure is restored to a shape that meets the design requirements, thereby ensuring the final quality of the welding. Through the mechanical correction model, the deformation model of the steel structure is mechanically corrected and simulated, and the correction process parameters under different working conditions can be repeatedly tested and optimized, thereby obtaining optimized mechanical correction process data. During the simulation process, the stress changes of the steel structure under different parameter combinations can be observed, and then the optimal optimized mechanical correction process data can be found through mechanical correction simulation. Therefore, the welded steel structure can be mechanically corrected by optimizing the mechanical correction process data, which can effectively improve the correction efficiency. In addition, optimizing the mechanical correction process data can also improve the correction accuracy, improve the accuracy of steel structure welding, avoid the performance degradation of the welded steel structure due to correction errors, and further improve the welding quality of the steel structure.

[0070] Optionally, obtaining the steel structure deformation model by using preset simulation software includes:

[0071] Obtaining measured deformation data of the steel structure after welding;

[0072] Establishing an initial steel structure deformation model of the steel structure according to the design data and the welding parameters;

[0073] According to the comparison result of the simulated deformation data of the initial steel structure deformation model and the measured deformation data, the initial model is optimized to obtain the steel structure deformation model.

[0074] Specifically, after the plate unit of the steel structure is welded, it is necessary to measure the actual deformation data of the plate unit of the welded steel structure. The actual deformation data reflects the real impact of the welding process on the steel structure. The measurement can be carried out in a variety of ways, such as using total stations, levels and other measuring instruments to measure the three-dimensional coordinates of the key parts of the steel structure to determine its position change in space; or using sensors such as strain gauges to measure the strain generated by the steel structure during and after welding, and then deduce the deformation. These measured deformation data will serve as an important basis for subsequent model optimization and provide a practical reference for accurately evaluating and improving the deformation model of steel structures.

[0075] In addition, a deformation model of the steel structure after welding corresponding to the steel structure is established according to the obtained design data of the steel structure and the actual welding parameters, wherein the design data may include information such as the geometric shape, size and material properties of the plate unit of the steel structure, which determine the performance and behavior of the steel structure under ideal conditions. For example, the length, width, height, plate thickness and other dimensional parameters of each plate unit of the steel structure will affect its deformation mode under stress; the elastic modulus, yield strength and other characteristics of the material determine the stiffness and bearing capacity of the steel structure. According to the design data of the steel structure, an initial geometric model of the steel structure can be established to provide a basic framework for subsequent deformation analysis. Welding parameters mainly include welding current, voltage, welding speed, welding sequence, etc., which play a key role in the heat input, residual stress distribution and deformation generation during the welding process. Different welding parameters will lead to different degrees of heat-affected zone and residual stress, thereby affecting the deformation of the steel structure. For example, larger welding current and voltage may generate more heat, resulting in larger heat-affected zone and residual stress, thereby increasing the deformation of the steel structure. Combined with the design data and welding parameters, numerical simulation methods such as finite element analysis can be used to establish a deformation model of the steel structure. Finite element analysis divides the steel structure into several small units, and simulates the temperature distribution, stress-strain state and deformation of the steel structure during the welding process by solving mechanical equilibrium equations and heat conduction equations. When establishing the model, it is necessary to consider factors such as the material properties, welding process, and boundary conditions of the steel structure. For example, for different materials, the corresponding constitutive model is required to describe its mechanical behavior; for heat conduction in the welding process, it is necessary to consider the characteristics of the welding heat source and the heat transfer method; for boundary conditions, it is necessary to determine the constraints and loading methods of the steel structure according to actual conditions.

[0076] Furthermore, the simulated deformation data obtained by the initial steel structure deformation model is compared with the measured deformation data obtained by actual measurement. The comparison indexes may include the size of the deformation, the distribution pattern of the deformation, etc. For example, if the error between the simulated deformation data and the measured deformation data is within ±1mm, the model and the simulation process are considered to be accurate, and the initial steel structure deformation model is determined as the final steel structure deformation model. Otherwise, the relevant parameters of the initial steel structure deformation model need to be adjusted multiple times until the error accuracy range is reached, and finally an accurate steel structure deformation model is obtained through trial calculation. According to the comparison results, the initial model is optimized. The optimization method may include adjusting the parameters of the model, improving the algorithm of the model, increasing the complexity of the model, etc. For example, if it is found that there is a large difference between the simulated deformation data and the measured deformation data in some parts, the values ​​of the welding parameters in the model can be adjusted, or the heat conduction model can be improved to more accurately simulate the temperature distribution during welding; if it is found that the overall accuracy of the model is not enough, the number of units in the model can be increased or a more advanced constitutive model can be used to improve the accuracy of the model.

[0077] In this optional embodiment, an initial steel structure deformation model is constructed by finite element software, so that simulated deformation data of the steel structure are obtained through model simulation, and the simulated deformation data are compared with the actual measured welding deformation data to optimize the initial steel structure deformation model, so that the final steel structure deformation model can accurately and reliably simulate the welding of the steel structure. The steel structure deformation model can provide a reliable post-weld deformation model for the simulation of subsequent mechanical correction conditions, thereby ensuring the accuracy of the welding deformation data.

[0078] Optionally, establishing an initial steel structure deformation model of the steel structure according to the design data and the welding parameters includes:

[0079] According to the design data, a steel structure model is established by using the simulation software;

[0080] The steel structure model is subjected to simulated welding according to the welding parameters to obtain an initial steel structure deformation model.

[0081] Specifically, the geometric shape information (such as component length, width, height, cross-sectional shape, connection method, etc.) and material property data in the design data, such as elastic modulus, Poisson's ratio, yield strength, density, etc., are used to construct a geometric model of the steel structure in the finite element simulation software and assign corresponding material properties to it. The welding parameters, such as welding current, voltage, speed, sequence, preheating temperature, etc., are input into the finite element simulation software to simulate the welding of the plate unit of the steel structure, including heat conduction analysis and thermal-structural coupling analysis. The heat conduction analysis calculates the heat transfer in the steel structure during the welding process according to the welding parameters and the thermal physical properties of the material; the thermal-structural coupling analysis uses the stress generated by thermal expansion as the load of the structural mechanics analysis, calculates the stress-strain state of the steel structure during the welding process, and finally obtains the initial steel structure deformation model containing information such as steel structure shape change, stress distribution, strain distribution, etc., which can be used to evaluate the welding quality and perform subsequent optimization design. .

[0082] Optionally, the optimizing the initial model to obtain the steel structure deformation model according to the comparison result of the simulated deformation data of the initial steel structure deformation model and the measured deformation data comprises:

[0083] Determining simulated deformation data according to the initial steel structure deformation model;

[0084] Determining whether the simulated deformation data is accurate according to a comparison result between the simulated deformation data and the measured deformation data;

[0085] If yes, the initial steel structure deformation model is determined as the steel structure deformation model;

[0086] If not, the initial steel structure deformation model is optimized until accurate simulation deformation data is obtained, and the optimized initial steel structure deformation model is determined as the steel structure deformation model.

[0087] Specifically, according to the initial steel structure deformation model, the simulated deformation data of the steel structure model after welding is extracted, and the simulated deformation data is compared with the measured deformation data of the steel structure after welding. According to the comparison result, it is judged whether the initial steel structure deformation model is accurate, that is, whether the initial steel structure deformation model can accurately reflect the deformation of the steel structure after welding. For example, a suitable parameter threshold is set. When the error between the simulated deformation data of the steel structure and the measured deformation data is less than the parameter threshold, the simulated deformation data is judged to be accurate, and the initial steel structure deformation model is determined as the final steel structure deformation model. When the error between the simulated deformation data of the steel structure and the measured deformation data is greater than or equal to the parameter threshold, the simulated deformation data is judged to be inaccurate, and the initial steel structure deformation model needs to be optimized. The optimization process may include adjusting the parameters of the model, improving the algorithm of the model, increasing the complexity of the model, etc. For example, it may be necessary to adjust the values ​​of welding parameters in the model to more accurately simulate the heat input and residual stress distribution during welding; or improve the constitutive model of the material to better describe the mechanical behavior of the steel structure after welding. Through continuous optimization and comparison, until accurate simulated deformation data is obtained, that is, the difference between the simulated deformation data and the measured deformation data meets the preset threshold condition, the optimized initial steel structure deformation model is determined as the final steel structure deformation model. This model can be used more reliably to predict the deformation of the steel structure and provide a more accurate basis for engineering design and construction.

[0088] Optionally, establishing the mechanical correction model of the steel structure according to the acquired mechanical correction process data includes:

[0089] Obtaining measured corrected deformation data of the steel structure;

[0090] Establishing an initial mechanical correction model according to the steel structure deformation model and the mechanical correction process data;

[0091] Performing correction simulation on the initial mechanical correction model to obtain simulated correction deformation data of the steel structure;

[0092] According to the comparison result of the simulated correction deformation data and the measured correction deformation data, the initial mechanical correction model is optimized to obtain the mechanical correction model.

[0093] Specifically, it is necessary to obtain the real deformation data of the welded steel structure before and after correction through actual measurement, that is, the measured correction deformation data, so as to obtain the accurate geometric shape change of the steel structure before and after the correction treatment. These data are the basis for evaluating the correction effect and adjusting the correction scheme. Based on the actual mechanical correction process data obtained, such as the correction force, correction speed, correction temperature, etc., a preliminary initial mechanical correction model of the steel structure is established. Using the established initial mechanical correction model, a correction simulation experiment is performed on the computer to predict the possible deformation of the steel structure under different correction parameter settings, and generate corresponding simulated correction deformation data. Further, by comparing the difference between the simulated correction deformation data and the measured correction deformation data, the deficiencies in the initial mechanical correction model can be identified. According to the difference between the simulated correction deformation data and the measured correction deformation data, the initial mechanical correction model is adjusted and optimized, such as changing the application method of the correction force, adjusting the correction speed, etc., until the simulation results can more accurately reflect the actual situation, and the optimized initial mechanical correction model is determined as the mechanical correction model.

[0094] In this optional embodiment, by continuously optimizing and improving the initial mechanical correction model, a highly reliable mechanical correction model can be obtained, which can be used to guide actual steel structure correction work and improve the welding efficiency and quality of steel structures.

[0095] Optionally, establishing an initial mechanical correction model according to the steel structure deformation model and the mechanical correction process data includes:

[0096] According to the steel structure deformation model and the mechanical correction process data, a roller model is established at a preset position of the steel structure deformation model;

[0097] The initial mechanical correction model is generated according to the steel structure deformation model and the roller model, and boundary conditions of the initial mechanical correction model are set.

[0098] Optionally, the setting of the boundary conditions of the initial mechanical correction model includes:

[0099] obtaining actual mechanical correction data of the steel structure;

[0100] The boundary conditions of the roller model and the steel structure deformation model element are set according to the actual mechanical correction data.

[0101] Specifically, based on the actual deformation of the steel structure (such as bending degree, deformation direction, etc.), the action position of the roller is determined in the steel structure deformation model. These positions are usually the parts of the steel structure that need to be corrected the most, such as the most severely deformed parts or the parts that have the greatest impact on the overall performance of the structure. According to the correction requirements, select the appropriate roller type, such as a rolling roller or a multi-point contact roller. Set the parameters of the roller, such as the size (diameter) of the roller, the material properties (hardness, etc.), and the friction coefficient of the contact surface with the steel structure. Determine the position of each roller in the steel structure deformation model to ensure that they can effectively act on the area that needs to be corrected in the welded steel structure model. After the roller model is established, the roller model is combined with the steel structure deformation model to form a complete initial mechanical correction model. The mechanical correction model is to embed the roller model into the steel structure deformation model to form a complete system model containing all components. At the same time, clarify the interaction between different structures in the model, such as clarifying the interaction mode between the roller and the steel structure, dynamic contact or sliding contact, and the forces and torques that may be generated by such contact. In order to make the model more accurately reflect the actual correction process, it is necessary to set corresponding boundary conditions according to the actual mechanical correction data of the steel structure. For example, fixed constraints: determine which parts are fixed and will not move or rotate, which helps to stabilize the entire correction process; loading conditions: according to the requirements of the correction process, define the force or torque applied by the roller on the steel structure, direction and loading speed, etc.; environmental conditions: consider the influence of factors such as temperature and humidity on the material properties. Although these factors have little influence in most cases, they still need to be considered under certain conditions.

[0102] In this optional embodiment, a more accurate initial mechanical correction model can be constructed based on the actual mechanical correction data of the steel structure after welding. The model can better understand the mechanical behavior during the correction process, optimize the correction plan, improve the correction efficiency and quality, and adjust the model parameters according to the actual situation after correction. Therefore, the mechanical correction model can simulate the mechanical correction process more accurately, and then optimize the welding process of the steel structure according to the data provided by the correction mechanical simulation results, thereby improving the welding quality of the steel structure.

[0103] Optionally, the optimizing the mechanical correction model through mechanical correction simulation to obtain optimized mechanical correction process data includes:

[0104] Performing mechanical correction simulation on the mechanical correction model according to the preset mechanical correction working condition to obtain working condition correction data corresponding to each mechanical correction working condition;

[0105] The mechanical correction process data of the mechanical correction model is optimized according to the comparison results of all the working condition correction data to obtain the optimized mechanical correction process data.

[0106] Specifically, according to the actual mechanical correction scenario after welding of steel structures, a plurality of different mechanical correction conditions are preset, and the possible actual operation range is covered by the preset mechanical correction conditions. The corresponding working condition correction data is determined according to each mechanical correction condition, wherein the working condition correction data includes but is not limited to: the pressure or torque of the roller; the speed of the roller; the path of the roller (straight line, curve, etc.); temperature conditions (if applicable) and other working condition data information. For each mechanical correction condition, set the corresponding simulation parameters, such as the initial geometry and material properties; boundary conditions (fixed end, free end, etc.); load conditions (force, torque, etc.); contact conditions (friction coefficient, contact pressure, etc.). Use finite element analysis software or other suitable simulation tools to perform correction simulation calculations on the deformation model of the steel structure after welding according to each working condition through the mechanical correction model, and record the corresponding working condition correction data under each working condition, which includes but is not limited to the maximum deformation of the steel structure, stress distribution, deformed geometry and other deformation data of the steel structure. The corresponding working condition correction data obtained from the simulation of each mechanical correction working condition are sorted out, and the working condition correction data under different mechanical correction working conditions are compared and analyzed, so as to find out which working conditions have the best correction effect (that is, the deformation reaches the expected target and does not exceed the yield strength of the material); which working conditions may cause structural damage (such as excessive stress concentration); which working conditions have the highest correction efficiency (such as the least time and energy required), and other differences after correction under different working conditions. According to the results of the above data comparison and analysis, the optimization goals are determined, such as minimizing the correction time, maximizing the correction accuracy, and reducing the risk of structural damage. Based on the optimization goals, the mechanical correction process data is adjusted, which may include adjusting the pressure or torque of the roller, changing the speed of the roller, modifying the path of the roller, and adjusting the process parameters of the temperature conditions. Re-run the simulation with the optimized mechanical correction process data to verify whether the effect of the optimization scheme meets expectations. If necessary, multiple rounds of iterations can be performed until the optimal optimized mechanical correction process data is found.

[0107] In this optional embodiment, by simulating different mechanical correction conditions through a mechanical correction model, different mechanical correction conditions can be systematically evaluated, the most effective correction method can be found, and accurate optimized mechanical correction process data can be obtained. Then, the welded steel structure can be mechanically corrected through the optimized mechanical correction data, thereby improving the quality and efficiency of the correction and reducing the risk of damage to the steel structure due to over-correction.

[0108] like Figure 8 As shown, a mechanical correction optimization device 800 for steel structure welding provided by an embodiment of the present invention includes:

[0109] The first simulation module 810 is used to obtain a deformation model of the steel structure through a preset simulation software according to the acquired design data and welding parameters of the steel structure;

[0110] A second simulation module 820, for establishing a mechanical correction model of the steel structure based on the steel structure deformation model and the acquired mechanical correction process data;

[0111] The optimization module 830 is used to optimize the mechanical correction model through mechanical correction simulation to obtain optimized mechanical correction process data.

[0112] The mechanical correction optimization device for steel structure welding of this embodiment is used to implement the mechanical correction optimization method for steel structure welding as described above. Its advantages over the prior art are the same as the advantages of the mechanical correction optimization method for steel structure welding as described above over the prior art, and will not be repeated here.

[0113] like Fig. 9 As shown, an electronic device 900 provided by an embodiment of the present invention includes a memory 910 and a processor 920; the memory 910 is used to store a computer program; the processor 920 is used to implement the mechanical correction optimization method for steel structure welding as described above when executing the computer program.

[0114] In other words, an electronic device 900 includes a memory 910 and a processor 920 coupled to the memory 910; the memory 910 is configured to store a computer program; and the processor 920 is configured to perform the following operations when executing the computer program:

[0115] According to the obtained design data and welding parameters of the steel structure, the deformation model of the steel structure is obtained through the preset simulation software;

[0116] Based on the deformation model of the steel structure, a mechanical correction model of the steel structure is established according to the acquired mechanical correction process data;

[0117] The mechanical correction model is optimized through mechanical correction simulation to obtain optimized mechanical correction process data.

[0118] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the mechanical correction optimization method for steel structure welding as described above is implemented.

[0119] In other words, a non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor performs the following operations:

[0120] According to the obtained design data and welding parameters of the steel structure, the deformation model of the steel structure is obtained through the preset simulation software;

[0121] Based on the deformation model of the steel structure, a mechanical correction model of the steel structure is established according to the acquired mechanical correction process data;

[0122] The mechanical correction model is optimized through mechanical correction simulation to obtain optimized mechanical correction process data.

[0123] An electronic device 900 that can be used as a server or client of the present invention will now be described, which is an example of a hardware device that can be applied to various aspects of the present invention. Electronic device 900 is intended to represent various forms of digital electronic computer equipment, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic device 900 can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples, and are not intended to limit the implementation of the present invention described herein and / or required.

[0124] Electronic device 900 includes a computing unit, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) or a computer program loaded from a storage unit into a random access memory (RAM). In RAM, various programs and data required for device operation can also be stored. The computing unit, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0125] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc. In the present application, the unit described as a separate component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment of the present invention. In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0126] Although the present invention is disclosed as above, the protection scope of the present invention is not limited thereto. Those skilled in the art may make various changes and modifications without departing from the spirit and scope of the present invention, and these changes and modifications will fall within the protection scope of the present invention.

Claims

1. A mechanical correction optimization method for steel structure welding, characterized in that: include: According to the obtained design data and welding parameters of the steel structure, the deformation model of the steel structure is obtained through the preset simulation software; Based on the deformation model of the steel structure, a mechanical correction model of the steel structure is established according to the acquired mechanical correction process data; The mechanical correction model is optimized through mechanical correction simulation to obtain optimized mechanical correction process data, wherein the optimized mechanical correction process data is used to perform mechanical correction on the welded steel structure.

2. The mechanical correction optimization method for steel structure welding according to claim 1 is characterized in that: The steel structure deformation model is obtained by using preset simulation software, including: Obtaining measured deformation data of the steel structure after welding; Establishing an initial steel structure deformation model of the steel structure according to the design data and the welding parameters; According to the comparison result of the simulated deformation data of the initial steel structure deformation model and the measured deformation data, the initial model is optimized to obtain the steel structure deformation model.

3. The mechanical correction optimization method for steel structure welding according to claim 2 is characterized in that: The step of establishing an initial steel structure deformation model of the steel structure according to the design data and the welding parameters comprises: According to the design data, a steel structure model is established by using the simulation software; The steel structure model is subjected to simulated welding according to the welding parameters to obtain an initial steel structure deformation model.

4. The mechanical correction optimization method for steel structure welding according to claim 2 is characterized in that: The step of optimizing the initial model to obtain the steel structure deformation model according to the comparison result of the simulated deformation data of the initial steel structure deformation model and the measured deformation data comprises: Determining simulated deformation data according to the initial steel structure deformation model; Determining whether the simulated deformation data is accurate according to a comparison result between the simulated deformation data and the measured deformation data; If yes, the initial steel structure deformation model is determined as the steel structure deformation model; If not, the initial steel structure deformation model is optimized until accurate simulation deformation data is obtained, and the optimized initial steel structure deformation model is determined as the steel structure deformation model.

5. The mechanical correction optimization method for steel structure welding according to claim 1 is characterized in that: The step of establishing a mechanical correction model of the steel structure according to the acquired mechanical correction process data comprises: Obtaining measured corrected deformation data of the steel structure; Establishing an initial mechanical correction model according to the steel structure deformation model and the mechanical correction process data; Performing correction simulation on the initial mechanical correction model to obtain simulated correction deformation data of the steel structure; According to the comparison result of the simulated correction deformation data and the measured correction deformation data, the initial mechanical correction model is optimized to obtain the mechanical correction model.

6. The mechanical correction optimization method for steel structure welding according to claim 5 is characterized in that: The establishing of the initial mechanical correction model according to the steel structure deformation model and the mechanical correction process data comprises: According to the steel structure deformation model and the mechanical correction process data, a roller model is established at a preset position of the steel structure deformation model; The initial mechanical correction model is generated according to the steel structure deformation model and the roller model, and boundary conditions of the initial mechanical correction model are set.

7. The mechanical correction optimization method for steel structure welding according to claim 6 is characterized in that: The setting of the boundary conditions of the initial mechanical correction model includes: obtaining actual mechanical correction data of the steel structure; The boundary conditions of the roller model and the steel structure deformation model element are set according to the actual mechanical correction data.

8. The mechanical correction optimization method for steel structure welding according to claim 1 is characterized in that: The mechanical correction model is optimized through mechanical correction simulation to obtain optimized mechanical correction process data, including: Performing mechanical correction simulation on the mechanical correction model according to the preset mechanical correction working condition to obtain working condition correction data corresponding to each mechanical correction working condition; The mechanical correction process data of the mechanical correction model is optimized according to the comparison results of all the working condition correction data to obtain the optimized mechanical correction process data.

9. A mechanical correction and optimization device for steel structure welding, characterized in that: include: The first simulation module is used to obtain a deformation model of the steel structure through a preset simulation software according to the acquired design data and welding parameters of the steel structure; A second simulation module is used to establish a mechanical correction model of the steel structure based on the deformation model of the steel structure and according to the acquired mechanical correction process data; The optimization module is used to optimize the mechanical correction model through mechanical correction simulation to obtain optimized mechanical correction process data, wherein the optimized mechanical correction process data is used to perform mechanical correction on the welded steel structure.

10. An electronic device, characterized in that: including memory and processor; The memory is used to store computer programs; The processor is used to implement the mechanical correction optimization method for steel structure welding as described in any one of claims 1 to 8 when executing the computer program.

Images