A fatigue analysis method and system for metal and welded structures

Abstract

The embodiment of the present invention discloses a fatigue analysis method and system for metal and welded structures, the method comprising: determining whether the target object to be fatigue analyzed is a target metal welded structure; if so, obtaining target welding process data of the target metal welded structure by SiPESC method, the target welding process data including target welding nonlinear transient heat conduction data; obtaining target metal welded structure nonlinear mechanical data according to the target welding nonlinear transient heat conduction data, the target metal welded structure nonlinear mechanical data including target structure stress data and target hot spot stress data; obtaining target metal welded structure fatigue analysis data corresponding to the target metal welded structure according to the target metal welded structure nonlinear mechanical data. The present invention can accurately monitor the fatigue durability of metal and metal welded structures in service, and effectively predict their remaining life.

Description

Technical Field

[0001] The present invention relates to the technical field of fatigue analysis, and in particular to a fatigue analysis method and system for metal and welded structures. Background Art

[0002] SiPESC, the full name of which is Software Integration Platform for Engineering and Scientific Computation, is a Chinese name for the Software Integration Platform for Engineering and Scientific Computation, which is pronounced as "Xingpai", or Xingpai Simulation for short. The SiPESC platform adopts advanced software engineering methods, software architecture theory, and software design patterns in its design concept and software platform architecture, develops general algorithms for structural simulation, integrates a series of independent and distinctive algorithms, and builds openness, integration, and large-scale computing capabilities.

[0003] Welding is a metal connection technology process. The nature of its physical process is diverse and complex. Welded structure is the most widely used metal structure form, and fatigue fracture is the main failure mode in its complex service process. Since fatigue fracture of welded structure is highly concealed, once it occurs, it will lead to catastrophic accidents and cause serious economic losses. Therefore, analyzing the factors affecting the fatigue life of welded structures and accurately predicting their fatigue life are of great significance to ensure the safe operation of rail vehicles. Metal structure damage refers to the change of material parameters and geometric characteristics of metal structures when metal and metal welded structures are affected by external loads and other factors. In the prior art, the process of health monitoring of metal and metal welded structures is to use sensors to periodically sample and analyze data of metal and metal welded structures, and extract characteristic factors sensitive to damage from the data to determine the current health status of metal and metal welded structures. In recent years, with the development of sensor technology, information acquisition technology and test and analysis technology, various welded structure health monitoring systems have been widely used in engineering fields such as bridges, buildings, and water conservancy. Health monitoring and safety assessment of some large welded structures and timely discovery of safety hazards are one of the effective means to ensure the construction and service safety of large engineering structures. At present, the health monitoring technology of metal and metal welded structures has problems in durability, monitoring accuracy and optimal replacement time. For example, there will be cracks of varying sizes around the weld of a welded structure, and the expansion of the cracks will pose a threat to the safety of the structure. Therefore, there is an urgent need for a system and method for structural health monitoring of metal and metal welded structures in service and for effective prediction of the remaining life, which is of great significance. Summary of the invention

[0004] Based on this, it is necessary to propose a fatigue analysis method and system for metal and welded structures based on SiPESC to address the above issues, so as to solve the following problems in the prior art: the health monitoring technology of metal and metal welded structures has problems in durability, monitoring accuracy and optimal replacement time.

[0005] The first technical solution of the embodiment of the present invention is:

[0006] A fatigue analysis method for metals and welded structures based on SiPESC, comprising: determining whether a target object to be fatigue analyzed is a target metal welded structure; if so, obtaining target welding process data corresponding to the target metal welded structure by means of SiPESC, wherein the target welding process data includes target welding nonlinear transient heat conduction data; obtaining target metal welded structure nonlinear mechanical data corresponding to the target metal welded structure according to the target welding nonlinear transient heat conduction data, wherein the target metal welded structure nonlinear mechanical data includes target structure stress data and target hot spot stress data corresponding to the target metal welded structure; and performing fatigue analysis on the target metal welded structure according to the target metal welded structure nonlinear mechanical data to obtain target metal welded structure fatigue analysis data corresponding to the target metal welded structure.

[0007] The second technical solution of the embodiment of the present invention is:

[0008] A fatigue analysis system for metals and welded structures based on SiPESC, comprising: an analysis object judgment module, used to judge whether a target object to be fatigue analyzed is a target metal welded structure; a welding data acquisition module, used to obtain target welding process data corresponding to the target metal welded structure by SiPESC when the target object to be fatigue analyzed is the target metal welded structure, the target welding process data including target welding nonlinear transient heat conduction data; a mechanical data acquisition module, used to obtain target metal welded structure nonlinear mechanical data corresponding to the target metal welded structure according to the target welding nonlinear transient heat conduction data, the target metal welded structure nonlinear mechanical data including target structural stress data and target hot spot stress data corresponding to the target metal welded structure; and a structural fatigue analysis module, used to perform fatigue analysis on the target metal welded structure according to the target metal welded structure nonlinear mechanical data, and obtain target metal welded structure fatigue analysis data corresponding to the target metal welded structure.

[0009] The third technical solution of the embodiment of the present invention is:

[0010] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps:

[0011] Determine whether the target object to be fatigue analyzed is a target metal welding structure; if so, obtain target welding process data corresponding to the target metal welding structure by SiPESC method, the target welding process data including target welding nonlinear transient heat conduction data; obtain target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure according to the target welding nonlinear transient heat conduction data, the target metal welding structure nonlinear mechanical data including target structure stress data and target hot spot stress data corresponding to the target metal welding structure; perform fatigue analysis on the target metal welding structure according to the target metal welding structure nonlinear mechanical data, and obtain target metal welding structure fatigue analysis data corresponding to the target metal welding structure.

[0012] The fourth technical solution of the embodiment of the present invention is:

[0013] A computer-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to perform the following steps:

[0014] Determine whether the target object to be fatigue analyzed is a target metal welding structure; if so, obtain target welding process data corresponding to the target metal welding structure by SiPESC method, the target welding process data including target welding nonlinear transient heat conduction data; obtain target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure according to the target welding nonlinear transient heat conduction data, the target metal welding structure nonlinear mechanical data including target structure stress data and target hot spot stress data corresponding to the target metal welding structure; perform fatigue analysis on the target metal welding structure according to the target metal welding structure nonlinear mechanical data, and obtain target metal welding structure fatigue analysis data corresponding to the target metal welding structure.

[0015] The embodiments of the present invention have the following beneficial effects:

[0016] The present invention first determines whether the target object to be fatigue analyzed is a target metal welding structure; if so, the target welding process data corresponding to the target metal welding structure is obtained by SiPESC method, and the target welding process data includes target welding nonlinear transient heat conduction data; according to the target welding nonlinear transient heat conduction data, the target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure is obtained, and the target metal welding structure nonlinear mechanical data includes target structure stress data and target hot spot stress data corresponding to the target metal welding structure; according to the target metal welding structure nonlinear mechanical data, the target metal welding structure is fatigue analyzed to obtain the target metal welding structure fatigue analysis data corresponding to the target metal welding structure. The present invention can accurately monitor the fatigue durability of metals and metal welding structures in service, and effectively predict their remaining life. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] in:

[0019] Figure 1 It is an implementation flow chart of an implementation method of a fatigue analysis method of metal and welded structure based on SiPESC in one embodiment;

[0020] Figure 2 A framework diagram of an implementation scheme of a fatigue analysis system for metal and welded structures based on SiPESC in one embodiment;

[0021] Figure 3 It is a structural block diagram of an implementation scheme of a computer device in one embodiment. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 , combined with Figure 1It can be seen that a fatigue analysis method for metal and welded structures based on SiPESC in an embodiment of the present invention includes the following steps:

[0024] Step S101: determining whether the target object to be fatigue analyzed is a target metal welding structure.

[0025] The fatigue analysis of this embodiment includes fatigue analysis of metal materials and / or fatigue analysis of metal welded structures. The fatigue analysis of metal materials and / or fatigue analysis of metal welded structures use different methods.

[0026] Step S102: If the target object to be subjected to fatigue analysis is a target metal welding structure, when it is detected that welding is being performed on the target metal welding structure to be subjected to fatigue analysis, target welding process data corresponding to the target metal welding structure is acquired by means of SiPESC, wherein the target welding process data includes target welding nonlinear transient heat conduction data.

[0027] Among them, the SiPESC in this step fully considers the influence of temperature changes during metal welding on the performance of metal welding structures, realizes numerical simulation of the entire metal welding process, supports multi-step analysis and multiple heat source models, and can simulate multiple welding procedures and complex welding processes.

[0028] When the temperature changes, the metal material or metal welded structure will expand or contract. In applications consisting of several different parts, this thermal deformation will be limited because the thermal expansion coefficients of various metal materials or metal welded structures are different.

[0029] Step S103: obtaining target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure according to the target welding nonlinear transient heat conduction data, wherein the target metal welding structure nonlinear mechanical data includes target structural stress data and target hot spot stress data corresponding to the target metal welding structure.

[0030] Among them, nonlinear mechanics is a science that studies the geometric nonlinearity and physical nonlinearity of objects, which is widely present in the natural world. Nonlinear transient thermal analysis is used to calculate the temperature field and other thermal parameters of a system that change over time. In engineering, transient thermal analysis is generally used to calculate the temperature field and use it as a thermal load for stress analysis.

[0031] Step S104: performing fatigue analysis on the target metal welded structure according to the nonlinear mechanical data of the target metal welded structure to obtain target metal welded structure fatigue analysis data corresponding to the target metal welded structure.

[0032] There is a close relationship between the nonlinear mechanical data of the target metal welded structure and its fatigue durability, and the corresponding fatigue analysis data of the target metal welded structure can be derived according to the nonlinear mechanical data of the target metal welded structure.

[0033] In this embodiment, optionally, obtaining the target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure according to the target welding nonlinear transient heat conduction data includes:

[0034] The node temperature field corresponding to the target welding nonlinear transient heat conduction data is mapped to the mechanical analysis in the form of thermal load to obtain the target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure.

[0035] In this embodiment, optionally, performing fatigue analysis on the target metal welded structure according to the nonlinear mechanical data of the target metal welded structure to obtain target metal welded structure fatigue analysis data corresponding to the target metal welded structure includes:

[0036] First, according to the target structure stress data corresponding to the target metal welding structure nonlinear mechanical data, target structure stress fatigue analysis data corresponding to the target structure stress data is acquired.

[0037] Among them, the structural stress in this step refers to the internal force generated between the parts of the object when the object structure is deformed due to external factors to resist the effect of such external factors. When the object is deformed due to external factors, the internal force that interacts with each other is generated between the parts of the object. The internal force per unit area is called stress. Stress is a vector. The component along the normal direction of the cross section is called normal stress, and the component along the tangent direction is called shear stress.

[0038] The target structure stress data in this step is closely related to the target structure stress fatigue analysis data corresponding thereto, and the target structure stress fatigue analysis data can be derived from the target structure stress data.

[0039] Second, according to the target hot spot stress data corresponding to the target metal welding structure nonlinear mechanical data, target hot spot stress fatigue analysis data corresponding to the target hot spot stress data is obtained.

[0040] Among them, the hot spot in this step refers to the origin of fatigue cracks. The hot spot of a welded structure with excellent welding quality is generally located at the weld toe, and the hot spot stress is the structural stress (geometric stress) at the hot spot, which is related to the overall geometric shape and loading conditions of the welded structure, but does not include stress concentration caused by local factors such as weld size and welding defects.

[0041] The target hot spot stress data in this step are closely related to the target hot spot stress fatigue analysis data corresponding thereto, and the target hot spot stress fatigue analysis data can be derived from the target hot spot stress data.

[0042] Third, the target structure stress fatigue analysis data and the target hot spot stress fatigue analysis data are used as the target metal welded structure fatigue analysis data corresponding to the target metal welded structure.

[0043] In this embodiment, optionally, the acquiring target structure stress fatigue analysis data corresponding to the target structure stress data according to the target metal welding structure nonlinear mechanical data includes:

[0044] First, a target structure stress-fatigue analysis correspondence table is obtained, wherein the metal welding structure stress and fatigue degree correspond one to one in the target structure stress-fatigue analysis correspondence table, and the target structure stress-fatigue analysis correspondence table is pre-stored in a target SN (EN) curve material library having both metal fatigue analysis and welding structure fatigue analysis functions.

[0045] Second, substituting the target structure stress data into the target structure stress-fatigue analysis correspondence table to obtain the target structure stress fatigue analysis data corresponding to the target structure stress data; or,

[0046] The target structure stress data is substituted into a target fatigue analysis software module pre-stored in a designated database for analysis to obtain the target structure stress fatigue analysis data corresponding to the target structure stress data.

[0047] In this embodiment, optionally, the step of obtaining target hot spot stress fatigue analysis data corresponding to the target hot spot stress data according to the target metal welding structure nonlinear mechanical data includes:

[0048] First, a target hot spot stress-fatigue analysis correspondence table is obtained, wherein the metal welding hot spot stress and fatigue degree correspond one to one in the target hot spot stress-fatigue analysis correspondence table, and the target hot spot stress-fatigue analysis correspondence table is pre-stored in a target SN (EN) curve material library having both metal fatigue analysis and welding structure fatigue analysis functions.

[0049] Second, substituting the target hot spot stress data into the target hot spot stress-fatigue analysis correspondence table to obtain the target hot spot stress fatigue analysis data corresponding to the target hot spot stress data; or,

[0050] The target hot spot stress data is substituted into a target fatigue analysis software module pre-stored in a designated database for analysis to obtain the target hot spot stress fatigue analysis data corresponding to the target hot spot stress data.

[0051] In this embodiment, optionally, the step of determining whether the target object to be subjected to fatigue analysis is a target metal welding structure comprises:

[0052] First, if the target object to be fatigue analyzed is a target metal material, the nonlinear mechanical data of the target metal material corresponding to the target metal material is obtained, and the nonlinear mechanical data of the target metal material includes the target equivalent stress data and the target maximum shear stress data corresponding to the target metal material.

[0053] Among them, equivalent stress, also known as Mises stress, is a method to describe multi-axial stress state. It maps the stress state in three-dimensional stress space to a single value for easy analysis and comparison. Equivalent stress takes into account the magnitude and direction of stress in each direction, but it cannot provide directional information of stress. Therefore, equivalent stress is suitable for describing the equivalent stress state of materials in three-dimensional space. In addition, equivalent stress also follows the fourth strength theory of material mechanics (shape change specific energy theory), which believes that shape change specific energy is the main cause of material flow failure. The result is more in line with reality. Generally, when a material undergoes plastic deformation under the action of external force and fails in the form of flow, the third or fourth strength theory should be adopted.

[0054] Among them, maximum shear stress is a concept in material mechanics, which indicates the maximum tangential stress generated by shear at a certain point inside an object. There are many ways to solve the maximum shear stress, and one common method is to determine it by analyzing the stress state inside the object. In certain cases, the maximum shear stress may appear at 45 degrees or 135 degrees. This is because at these angles, the value of the sine function reaches the maximum, causing the shear stress to reach the maximum value. The calculation formula for the maximum shear stress can be determined based on the specific stress state and the geometry of the object. The calculation of the maximum shear stress needs to take into account the properties of the material and the influence of the loading method. The torsional properties of different materials will be different, so adjustments need to be made according to actual conditions during calculation.

[0055] Second, the target equivalent stress data is substituted into a target fatigue analysis software module pre-stored in a designated database for analysis to obtain target equivalent stress fatigue analysis data corresponding to the target equivalent stress data.

[0056] Third, the target maximum shear stress data are respectively substituted into the target fatigue analysis software module pre-stored in the designated database for analysis to obtain target maximum shear stress fatigue analysis data corresponding to the target maximum shear stress data.

[0057] In this embodiment, optionally, the target welding process data further includes a target welding temperature change curve, a target welding thickness curve, a target welding node distance curve, and a target welding gap curve. The target metal welding structure is subjected to fatigue analysis according to the nonlinear mechanical data of the target metal welding structure to obtain target metal welding structure fatigue analysis data corresponding to the target metal welding structure, including:

[0058] According to the curvature changes corresponding to the target welding temperature change curve, the target welding thickness curve, the target welding node distance curve and the target welding gap curve, fatigue analysis is performed on the target metal welding structure to obtain target metal welding structure fatigue analysis data corresponding to the target metal welding structure;

[0059] Among them, when the average curvature corresponding to the target welding temperature change curve, the target welding thickness curve, the target welding node distance curve and the target welding gap curve is smaller, the fatigue durability corresponding to the target metal welding structure is greater. Among them, the smaller the average curvature, the gentler the temperature change, the more uniform the welding speed, the more uniform the distribution between the welding nodes, and the less difference in the welding gap, so the greater the durability.

[0060] See also Figure 2 , combined with Figure 2 It can be obtained that a fatigue analysis system 100 of a metal and welded structure based on SiPESC according to an embodiment of the present invention includes:

[0061] An analysis object determination module 10 is used to determine whether the target object to be subjected to fatigue analysis is a target metal welding structure;

[0062] The welding data acquisition module 20 is used to acquire target welding process data corresponding to the target metal welding structure by SiPESC method when the target object to be subjected to fatigue analysis is the target metal welding structure, wherein the target welding process data includes target welding nonlinear transient heat conduction data;

[0063] A mechanical data acquisition module 30 is used to obtain target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure according to the target welding nonlinear transient heat conduction data, wherein the target metal welding structure nonlinear mechanical data includes target structure stress data and target hot spot stress data corresponding to the target metal welding structure;

[0064] The structural fatigue analysis module 40 is used to perform fatigue analysis on the target metal welded structure according to the nonlinear mechanical data of the target metal welded structure, and obtain target metal welded structure fatigue analysis data corresponding to the target metal welded structure.

[0065] Figure 3 FIG. 1 shows an internal structure diagram of a computer device in an embodiment. The computer device may be a terminal or a server. Figure 3 As shown, the computer device includes a processor, a memory and a network interface connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor may implement the above-mentioned fatigue analysis method for metal and welded structures based on SiPESC. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor may implement the above-mentioned fatigue analysis method for metal and welded structures based on SiPESC. Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0066] In another embodiment, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following steps:

[0067] Determine whether the target object to be fatigue analyzed is a target metal welding structure; if so, obtain target welding process data corresponding to the target metal welding structure by SiPESC method, the target welding process data including target welding nonlinear transient heat conduction data; obtain target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure according to the target welding nonlinear transient heat conduction data, the target metal welding structure nonlinear mechanical data including target structure stress data and target hot spot stress data corresponding to the target metal welding structure; perform fatigue analysis on the target metal welding structure according to the target metal welding structure nonlinear mechanical data, and obtain target metal welding structure fatigue analysis data corresponding to the target metal welding structure.

[0068] In another embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the processor performs the following steps:

[0069] Determine whether the target object to be fatigue analyzed is a target metal welding structure; if so, obtain target welding process data corresponding to the target metal welding structure by SiPESC method, the target welding process data including target welding nonlinear transient heat conduction data; obtain target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure according to the target welding nonlinear transient heat conduction data, the target metal welding structure nonlinear mechanical data including target structure stress data and target hot spot stress data corresponding to the target metal welding structure; perform fatigue analysis on the target metal welding structure according to the target metal welding structure nonlinear mechanical data, and obtain target metal welding structure fatigue analysis data corresponding to the target metal welding structure.

[0070] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0071] The embodiment of the present invention first determines whether the target object to be fatigue analyzed is a target metal welding structure; if so, the target welding process data corresponding to the target metal welding structure is obtained by SiPESC method, and the target welding process data includes target welding nonlinear transient heat conduction data; according to the target welding nonlinear transient heat conduction data, the target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure is obtained, and the target metal welding structure nonlinear mechanical data includes target structure stress data and target hot spot stress data corresponding to the target metal welding structure; according to the target metal welding structure nonlinear mechanical data, the target metal welding structure is fatigue analyzed to obtain the target metal welding structure fatigue analysis data corresponding to the target metal welding structure. The present invention can accurately monitor the fatigue durability of metals and metal welding structures in service, and effectively predict their remaining life.

[0072] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0073] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A fatigue analysis method for metal and welded structures based on SiPESC, characterized in that: include: Determine whether the target object to be subjected to fatigue analysis is a target metal welding structure; If yes, then obtaining target welding process data corresponding to the target metal welding structure by SiPESC method, wherein the target welding process data includes target welding nonlinear transient heat conduction data; According to the target welding nonlinear transient heat conduction data, target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure is obtained, wherein the target metal welding structure nonlinear mechanical data includes target structural stress data and target hot spot stress data corresponding to the target metal welding structure; performing fatigue analysis on the target metal welded structure according to the nonlinear mechanical data of the target metal welded structure to obtain target metal welded structure fatigue analysis data corresponding to the target metal welded structure; The step of determining whether the target object to be subjected to fatigue analysis is a target metal welding structure comprises: If the target object to be fatigue analyzed is a target metal material, then the target metal material nonlinear mechanical data corresponding to the target metal material is obtained, and the target metal material nonlinear mechanical data includes target equivalent stress data and target maximum shear stress data corresponding to the target metal material; Substituting the target equivalent stress data into a target fatigue analysis software module pre-stored in a designated database for analysis, to obtain target equivalent stress fatigue analysis data corresponding to the target equivalent stress data; The target maximum shear stress data are respectively substituted into the target fatigue analysis software module pre-stored in a designated database for analysis to obtain target maximum shear stress fatigue analysis data corresponding to the target maximum shear stress data.

2. The fatigue analysis method of metal and welded structure based on SiPESC according to claim 1, characterized in that: The step of obtaining target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure according to the target welding nonlinear transient heat conduction data includes: The node temperature field corresponding to the target welding nonlinear transient heat conduction data is mapped to the mechanical analysis in the form of thermal load to obtain the target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure.

3. The fatigue analysis method of metal and welded structure based on SiPESC according to claim 1, characterized in that: The step of performing fatigue analysis on the target metal welded structure according to the nonlinear mechanical data of the target metal welded structure to obtain fatigue analysis data of the target metal welded structure corresponding to the target metal welded structure includes: According to the target structure stress data corresponding to the target metal welding structure nonlinear mechanical data, acquiring target structure stress fatigue analysis data corresponding to the target structure stress data; According to the target hot spot stress data corresponding to the target metal welding structure nonlinear mechanical data, obtaining target hot spot stress fatigue analysis data corresponding to the target hot spot stress data; The target structure stress fatigue analysis data and the target hot spot stress fatigue analysis data are used as the target metal welded structure fatigue analysis data corresponding to the target metal welded structure.

4. The fatigue analysis method of metal and welded structure based on SiPESC according to claim 3, characterized in that: The step of obtaining target structure stress fatigue analysis data corresponding to the target structure stress data according to the target metal welding structure nonlinear mechanical data includes: Obtaining a target structure stress-fatigue analysis correspondence table, wherein in the target structure stress-fatigue analysis correspondence table, the metal welding structure stress and fatigue degree correspond one to one, and the target structure stress-fatigue analysis correspondence table is pre-stored in a target curve material library having both metal fatigue analysis and welding structure fatigue analysis functions; Substituting the target structure stress data into the target structure stress-fatigue analysis correspondence table to obtain the target structure stress fatigue analysis data corresponding to the target structure stress data; or, The target structure stress data is substituted into a target fatigue analysis software module pre-stored in a designated database for analysis to obtain the target structure stress fatigue analysis data corresponding to the target structure stress data.

5. The fatigue analysis method of metal and welded structure based on SiPESC according to claim 3, characterized in that: The step of obtaining target hot spot stress fatigue analysis data corresponding to the target hot spot stress data according to the target metal welding structure nonlinear mechanical data includes: Obtaining a target hot spot stress-fatigue analysis correspondence table, wherein the metal welding hot spot stress and fatigue degree correspond one to one in the target hot spot stress-fatigue analysis correspondence table, and the target hot spot stress-fatigue analysis correspondence table is pre-stored in a target curve material library having both metal fatigue analysis and welding structure fatigue analysis functions; Substituting the target hot spot stress data into the target hot spot stress-fatigue analysis correspondence table to obtain the target hot spot stress fatigue analysis data corresponding to the target hot spot stress data; or, The target hot spot stress data is substituted into a target fatigue analysis software module pre-stored in a designated database for analysis to obtain the target hot spot stress fatigue analysis data corresponding to the target hot spot stress data.

6. The fatigue analysis method of metal and welded structure based on SiPESC according to claim 1, characterized in that: The target welding process data also includes a target welding temperature change curve, a target welding thickness curve, a target welding node distance curve and a target welding gap curve. The target metal welding structure is subjected to fatigue analysis according to the nonlinear mechanical data of the target metal welding structure to obtain target metal welding structure fatigue analysis data corresponding to the target metal welding structure, including: According to the curvature changes corresponding to the target welding temperature change curve, the target welding thickness curve, the target welding node distance curve and the target welding gap curve, fatigue analysis is performed on the target metal welding structure to obtain target metal welding structure fatigue analysis data corresponding to the target metal welding structure; Among them, when the average curvatures corresponding to the target welding temperature change curve, the target welding thickness curve, the target welding node distance curve and the target welding gap curve are smaller, the fatigue durability corresponding to the target metal welding structure is greater.

7. A fatigue analysis system for metal and welded structures based on SiPESC, characterized in that: include: An analysis object judgment module is used to judge whether the target object to be subjected to fatigue analysis is a target metal welding structure; A welding data acquisition module, used for acquiring target welding process data corresponding to the target metal welding structure by SiPESC method when the target object to be subjected to fatigue analysis is the target metal welding structure, wherein the target welding process data includes target welding nonlinear transient heat conduction data; A mechanical data acquisition module, used to obtain target metal welding structure nonlinear mechanical data corresponding to the target metal welding structure according to the target welding nonlinear transient heat conduction data, wherein the target metal welding structure nonlinear mechanical data includes target structure stress data and target hot spot stress data corresponding to the target metal welding structure; A structural fatigue analysis module, used to perform fatigue analysis on the target metal welded structure according to the nonlinear mechanical data of the target metal welded structure, and obtain target metal welded structure fatigue analysis data corresponding to the target metal welded structure; The step of determining whether the target object to be subjected to fatigue analysis is a target metal welding structure comprises: If the target object to be fatigue analyzed is a target metal material, then the target metal material nonlinear mechanical data corresponding to the target metal material is obtained, and the target metal material nonlinear mechanical data includes target equivalent stress data and target maximum shear stress data corresponding to the target metal material; Substituting the target equivalent stress data into a target fatigue analysis software module pre-stored in a designated database for analysis, to obtain target equivalent stress fatigue analysis data corresponding to the target equivalent stress data; The target maximum shear stress data are respectively substituted into the target fatigue analysis software module pre-stored in a designated database for analysis to obtain target maximum shear stress fatigue analysis data corresponding to the target maximum shear stress data.

8. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the processor executes the fatigue analysis method of metal and welded structure based on SiPESC according to any one of claims 1 to 6.

9. A computer device, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the fatigue analysis method of metal and welded structure based on SiPESC as claimed in any one of claims 1 to 6.

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