A structural safety margin evaluation method and device

Abstract

The application provides a structure safety margin evaluation method and device, applied to the technical field of finite elements, and comprises the following steps: creating a structure model; adding uncertainty of selected material properties in the structure model to obtain a first updated structure model, wherein the selected material properties are material strength; adding uncertainty of load in the first updated structure model to obtain a second updated structure model; and calculating structure safety margin and probability characteristics based on the second updated structure model to obtain structure safety margin calculation value and probability characteristic value. The application can introduce uncertainty of material and load into a calculation model, realize reliable results of structure safety margin calculation value and probability characteristics, and help designers to scientifically evaluate reliability and safety of the structure.

Description

Technical Field

[0001] This invention relates to the field of finite element technology, and in particular to a method and apparatus for evaluating structural safety margin. Background Technology

[0002] Safety margin is a crucial indicator for measuring structural safety and reliability. Because both the inherent properties of a structure and the effects of external loads are uncertain, and it is difficult to reasonably quantify this uncertainty in calculations, a simplified single-coefficient method is often used to calculate the safety margin in structural design and analysis. This method of calculating the safety margin without considering uncertainties is unscientific and can easily lead to overall conservative design, poor economy, and significant local safety hazards. This is especially true for the safety design and assessment of large and complex structures, where considering the uncertainties of loads and structural materials is paramount.

[0003] Currently, the design and analysis of large and complex structures mainly rely on finite element analysis software, with ABAQUS being the most widely used. However, commonly used finite element analysis software, including ABAQUS, lacks the functions for calculating, outputting, and viewing structural safety margins, and existing yield determination criteria, such as the most commonly used Mises stress, do not incorporate uncertainties. Summary of the Invention

[0004] This invention provides a method and apparatus for evaluating structural safety margins. Specifically, this application offers a method for evaluating structural safety margins. Addressing the problem that both the inherent performance of a structure and the effects of external loads are uncertain, and that it is difficult to reasonably quantify this uncertainty in calculations, this application introduces material and load uncertainties to calculate accurate structural safety margins and output a structural safety margin cloud map. The structural safety margin cloud map is intuitive and clear, helping engineers quickly assess the reliability and safety of a structure. To achieve the above-mentioned objectives, the technical solution is as follows:

[0005] On the one hand, embodiments of this application provide a structural safety margin evaluation method, including the following steps:

[0006] S1: Create a structural model;

[0007] S2: Add uncertainty to the selected material property in the structural model to obtain the first updated structural model, where the selected material property is material strength;

[0008] S3: Add the load uncertainty to the first updated structural model to obtain the second updated structural model;

[0009] S4: Based on the second updated structural model, calculate the structural safety margin and probability characteristics to obtain the calculated value of the structural safety margin and the value of the probability characteristics.

[0010] Preferably, the creation of the structural model in S1 includes:

[0011] S11: Based on the model creation environment of the selected software, establish an initial structural model, wherein the selected software includes ABAQUS and CAD software;

[0012] S12: Based on the initialized structural model, define the material properties, loads, and constraints of the structure;

[0013] S13: Modify the model settings to obtain the structural model. The model settings include mesh density and element type.

[0014] Preferably, in step S2, an uncertainty in a selected material property is added to the structural model to obtain a first updated structural model. The selected material property is material strength, including:

[0015] S21: Obtain statistical distribution information on the strength of each material used in the structure;

[0016] S22: Based on the statistical distribution information of the strength of each material, calculate the characteristic parameter μ of the strength of each material according to formula (1):

[0017]

[0018] Among them, s i is the result of i sets of parallel experiments, and n is the number of sets of parallel experimental results;

[0019] S23: Based on the statistical distribution information of the strength of each material, calculate the characteristic parameter d of the strength of each material according to formula (2):

[0020]

[0021] Where d is the feature parameter, s i is the result of i sets of parallel experiments, and n is the number of sets of parallel experimental results;

[0022] S24: Input the characteristic parameters μ and d of the strength of each material into the structural model to obtain the first updated structural model.

[0023] Preferably, the step S21 of obtaining statistical distribution information on the strength of each material used in the structure includes:

[0024] S211: Obtain n sets of parallel test results (s1, s2, s3, ... s) for the strength of each material used in the structure. n );

[0025] S212: Perform a normal distribution test on the strength of each material used in the structure to obtain statistical distribution information of the strength of each material used in the structure.

[0026] Preferably, step S3 involves adding load uncertainties to the first updated structural model to obtain a second updated structural model, including:

[0027] S31: Obtain the element stress of structural element i at m time points under the load spectrum;

[0028] S32: Based on the element stress of the structural element i at m time points under the load spectrum, calculate the characteristic parameter μ of the element stress according to formula (3). i :

[0029]

[0030] Where, σ ij Let be the element stress of structural element i at the j-th time point under the load spectrum;

[0031] S33: Based on the element stress of the structural element i at m time points under the load spectrum, calculate the characteristic parameter d of the element stress according to formula (4). i :

[0032]

[0033] Where, σ ij Let μ be the element stress of structural element i at the j-th time point under the load spectrum. i These are characteristic parameters;

[0034] S34: Transfer the characteristic parameter μ i and characteristic parameter d i The input is fed into the first updated structural model to obtain the second updated structural model.

[0035] Preferably, the acquisition of the element stress of structural element i at m time points under the load spectrum in step S31 includes:

[0036] S311: Obtain the load spectrum, which is the magnitude and direction of the load applied to each element. Obtaining the load spectrum includes obtaining the load spectrum through long-term monitoring and user-defined methods.

[0037] S312: Based on the load spectrum, stress calculation is performed in each element at m time points to obtain the element stress.

[0038] Preferably, step S4, based on the second updated structural model, calculates the structural safety margin and probabilistic characteristics to obtain the calculated structural safety margin value and probabilistic characteristic value, including:

[0039] S41: Based on the second updated structural model, calculate the safety margin MS of structural unit i according to formula (5). i :

[0040]

[0041] Where μ is a characteristic parameter of the strength of each material, μ i These are characteristic parameters of the element stress;

[0042] S42: Based on the second updated structural model, calculate the failure probability Rf of structural unit i according to formula (6). i :

[0043]

[0044] Where μ is a characteristic parameter of the strength of each material, μ i d is a characteristic parameter of element stress, and d is a characteristic parameter of strength for each material. i It is a characteristic parameter of the element stress.

[0045] Secondly, embodiments of this application provide a structural safety margin evaluation device, comprising the following steps:

[0046] Structural model unit: used to create structural models;

[0047] Material property unit: used to add uncertainty of selected material property to the structural model to obtain the first updated structural model, wherein the selected material property is material strength;

[0048] Load element: used to add load uncertainty to the first updated structural model to obtain the second updated structural model;

[0049] Safety margin unit: Used to calculate the structural safety margin and probabilistic characteristics based on the second updated structural model, and obtain the calculated value of the structural safety margin and the value of the probabilistic characteristics.

[0050] Thirdly, embodiments of this application provide an electronic device, characterized in that the electronic device includes: a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is disposed inside the space enclosed by the housing, and the processor and the memory are disposed on the circuit board; the power supply circuit is used to supply power to various circuits or devices of the above-mentioned electronic device; the memory is used to store executable program code; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, for executing the method described in any of the preceding items.

[0051] Fourthly, embodiments of this application provide a computer-readable storage medium, characterized in that the computer-readable storage medium stores one or more programs, which can be executed by one or more processors to implement the method described in any of the preceding claims.

[0052] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0053] Compared with existing technologies, the above technical solution has at least the following beneficial effects: The above solution introduces material uncertainty into the calculation model, and introduces a method for evaluating structural safety margin in ABAQUS that incorporates material and load uncertainties. Specifically, the load borne by the structure is not a fixed value, but is described using probabilistic eigenvalues. Simultaneously, the safety margin value is not a fixed value, but is obtained through the ratio of material strength to structural stress described by probabilistic eigenvalues, and failure probability is used to supplement the description of uncertainty. It supplements some special variables not available in ABAQUS-based structural safety margin cloud map calculation and implementation methods; and provides the ability to view the structural safety margin calculation results and cloud maps in the ABAQUS post-processing visualization module. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is a flowchart of a structural safety margin evaluation method provided by an embodiment of the present invention;

[0056] Figure 2 This is a schematic diagram of the load spectrum of a specific embodiment provided in this invention;

[0057] Figure 3 This is a schematic diagram illustrating the structural safety margin evaluation method that introduces uncertainties in materials and loads provided in the embodiments of the present invention;

[0058] Figure 4 This is a schematic diagram of the structural component numbers and stress cloud diagram of a specific embodiment provided by the present invention;

[0059] Figure 5 This is a block diagram of a structural safety margin evaluation device provided in an embodiment of the present invention;

[0060] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0061] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0062] This invention provides a method for evaluating structural safety margins. This method can be implemented using an electronic device, which can be a terminal or a server. Figure 1 The flowchart shown is a structural safety margin evaluation method. The processing flow of this method may include the following steps:

[0063] S1: Create a structural model;

[0064] Preferably, S1 includes:

[0065] S11: Based on the model creation environment of the selected software, establish an initial structural model, wherein the selected software includes ABAQUS and CAD software;

[0066] S12: Based on the initialized structural model, define the material properties, loads, and constraints of the structure;

[0067] S13: Modify the model settings to obtain the structural model. The model settings include mesh density and element type.

[0068] In some embodiments, the design and calculation of large and complex structures currently rely primarily on finite element analysis software, with ABAQUS being the most widely used. ABAQUS can analyze complex solid mechanical systems, particularly handling very large and complex problems and simulating highly nonlinear problems. However, it currently lacks the ability to calculate and output certain special variables, such as safety margins, damage factors, and hazard coefficients. Furthermore, the yield criteria used in commonly used finite element analysis software, including ABAQUS, such as the most frequently used Mises stress, do not incorporate uncertainties related to materials and loads.

[0069] It should be noted that the first step is to create or import a structural model file in ABAQUS.

[0070] It should be further noted that the model was a solid cantilever steel beam with a cross-section of 100mm × 100mm and a length of 1500mm, using Q345 steel. Five sets of parallel tensile tests were conducted; the load spectrum at the beam ends was obtained by monitoring with force sensors as follows. Figure 3 As shown, it is necessary to consider the uncertainties of materials and loads when evaluating the structural safety margin.

[0071] Preferably, the cantilever beam finite element model is created in the ABAQUS model, including creating the structural geometry model, defining structural material properties, defining the analysis type, setting boundary conditions, inputting loads, and meshing.

[0072] S2: Add uncertainty to the selected material property in the structural model to obtain the first updated structural model, where the selected material property is material strength;

[0073] Preferably, S2 includes:

[0074] S21: Obtain statistical distribution information on the strength of each material used in the structure;

[0075] Preferably, S21 includes:

[0076] S211: Obtain n sets of parallel test results (s1, s2, s3, ... s) for the strength of each material used in the structure. n );

[0077] S212: Perform a normal distribution test on the strength of each material used in the structure to obtain the statistical distribution information of the strength of each material used in the structure;

[0078] S22: Based on the statistical distribution information of the strength of each material, calculate the characteristic parameter μ of the strength of each material according to formula (1):

[0079]

[0080] Among them, s i is the result of i sets of parallel experiments, and n is the number of sets of parallel experimental results;

[0081] S23: Based on the statistical distribution information of the strength of each material, calculate the characteristic parameter d of the strength of each material according to formula (2):

[0082]

[0083] Where d is the feature parameter, s i is the result of i sets of parallel experiments, and n is the number of sets of parallel experimental results;

[0084] S24: Input the characteristic parameters μ and d of the strength of each material into the structural model to obtain the first updated structural model.

[0085] In some embodiments, a custom program 1 is run to import material test results in batches, calculate the probability distribution parameters of material strength, and assign them to the corresponding material properties.

[0086] It should be noted that the analysis is completed in ABAQUS and a custom program 2 is run to call the result file, record the stress of the structural elements under the load spectrum, and calculate the probability distribution characteristics of the element stress, thereby transferring the uncertainty of the load to the structural stress.

[0087] It needs to be further explained that, such as Figure 2 As shown, the strength of a material is not a fixed numerical value, but is described using probabilistic characteristic values.

[0088] It should be further explained that the results of n sets of parallel tests on the structural material strength (s1, s2, s3, ... s) n The data is automatically read into the model. Assuming that the material strength follows a normal distribution, the characteristic parameters of its probability distribution are calculated. The calculation formulas are shown in (1) and (2), thus introducing material uncertainty into the calculation model. The structural material can be one type or multiple types. Using the same method, multiple sets of parallel test results for each material are read into the program in batches, and the characteristic parameters of its probability distribution, mu and d, are calculated respectively, thus introducing multiple material uncertainties into the calculation model.

[0089] S3: Add the load uncertainty to the first updated structural model to obtain the second updated structural model;

[0090] Preferably, S3 includes:

[0091] S31: Obtain the element stress of structural element i at m time points under the load spectrum;

[0092] Preferably, S31 includes:

[0093] S311: Obtain the load spectrum, which is the magnitude and direction of the load applied to each element. Obtaining the load spectrum includes obtaining the load spectrum through long-term monitoring and user-defined methods.

[0094] S312: Based on the load spectrum, stress calculation is performed in each element at m time points to obtain the element stress;

[0095] S32: Based on the element stress of the structural element i at m time points under the load spectrum, calculate the characteristic parameter μ of the element stress according to formula (3). i :

[0096]

[0097] Where, σ ij Let be the element stress of structural element i at the j-th time point under the load spectrum;

[0098] S33: Based on the element stress of the structural element i at m time points under the load spectrum, calculate the characteristic parameter d of the element stress according to formula (4). i :

[0099]

[0100] Where, σ ij Let μ be the element stress of structural element i at the j-th time point under the load spectrum. i These are characteristic parameters;

[0101] S34: Transfer the characteristic parameter μ i and characteristic parameter d i The input is fed into the first updated structural model to obtain the second updated structural model.

[0102] In some embodiments, such as Figure 2 The load borne by the structure shown is not a fixed value, but is described using probabilistic eigenvalues. The uncertainty of the load is introduced by inputting a load spectrum that reflects the actual working conditions into the LOAD module. The load spectrum is generally a curve of the load quantity changing over time obtained from long-term monitoring, thereby inputting the actual load acting on the structure and its uncertainty into the model. The load spectrum can be obtained from long-term monitoring or it can be user-defined.

[0103] It should be noted that running custom program 3 is used to calculate the structural safety margin and probabilistic characteristics considering material and load uncertainties, and output the results.

[0104] It should be further explained that by introducing a structural safety margin evaluation method for material and load uncertainties into ABAQUS, it can be seen that all safety margins of the cantilever beam are greater than 0, but the probability of failure increases as it gets closer to the fixed end. Taking element number 15 as an example, its safety margin is greater than 0, but its failure probability is nearly 10%.

[0105] S4: Based on the second updated structural model, calculate the structural safety margin and probability characteristics to obtain the calculated value of the structural safety margin and the value of the probability characteristics.

[0106] Preferably, S4 includes:

[0107] S41: Based on the second updated structural model, calculate the safety margin MS of structural unit i according to formula (5). i :

[0108]

[0109] Where μ is a characteristic parameter of the strength of each material, μ i These are characteristic parameters of the element stress;

[0110] S42: Based on the second updated structural model, calculate the failure probability Rf of structural unit i according to formula (6). i :

[0111]

[0112] Where μ is a characteristic parameter of the strength of each material, μ i d is a characteristic parameter of element stress, and d is a characteristic parameter of strength for each material. i It is a characteristic parameter of the element stress.

[0113] In some embodiments, such as Figure 3 As shown, the safety margin value is not a fixed number, but is obtained by describing the ratio of material strength to structural stress through probabilistic characteristic values, while failure probability is used to supplement the description of uncertainty.

[0114] It should be noted that, Figure 4 The image shows the final stress contour plot obtained from the calculation. By introducing a structural safety margin evaluation method based on material and load uncertainties into ABAQUS, it can be seen that all safety margins of the cantilever beam are greater than 0, but the probability of failure increases as it approaches the fixed end.

[0115] The above is an introduction to the method embodiments. The following describes the solution described in this application through device embodiments.

[0116] like Figure 5 As shown in the figure, this application provides a structural safety margin evaluation device, which includes the following steps:

[0117] Structural model unit: used to create structural models;

[0118] Material property unit: used to add uncertainty of selected material property to the structural model to obtain the first updated structural model, wherein the selected material property is material strength;

[0119] Load element: used to add load uncertainty to the first updated structural model to obtain the second updated structural model;

[0120] Safety margin unit: Used to calculate the structural safety margin and probabilistic characteristics based on the second updated structural model, and obtain the calculated value of the structural safety margin and the value of the probabilistic characteristics.

[0121] A structural safety margin evaluation method is used for an electronic device, characterized in that the electronic device includes: a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is disposed inside the space enclosed by the housing, and the processor and memory are disposed on the circuit board; the power supply circuit is used to supply power to various circuits or devices of the electronic device; the memory is used to store executable program code; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, for executing the method described in any of the preceding items.

[0122] A computer-readable storage medium for structural safety margin evaluation, characterized in that the computer-readable storage medium stores one or more programs, which can be executed by one or more processors to implement the method described in any of the preceding items.

[0123] This application addresses the problem that both the inherent performance of a structure and the effects of external loads are uncertain, and that it is difficult to reasonably quantify this uncertainty in calculations. It provides a structural safety margin evaluation method that can achieve reliable results for the calculated structural safety margin and probabilistic characteristics, helping designers to scientifically assess the reliability and safety of structures.

[0124] Figure 6 This is a schematic diagram of the structure of an electronic device 600 provided in an embodiment of the present invention. The electronic device 400 may vary considerably due to different configurations or performance. It may include one or more central processing units (CPUs) 601 and one or more memories 602. The memory 602 stores at least one instruction, which is loaded and executed by the processor 401 to implement the steps of the above-mentioned Chinese text spelling check method.

[0125] In an exemplary embodiment, a computer-readable storage medium is also provided, such as a memory including instructions that can be executed by a processor in a terminal to complete the aforementioned Chinese text spelling check method. For example, the computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, or optical data storage device.

[0126] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0127] The following points need to be explained:

[0128] (1) The accompanying drawings of the embodiments of the present invention only involve the structures involved in the embodiments of the present invention. Other structures can refer to the general design.

[0129] (2) For clarity, the thickness of layers or regions is enlarged or reduced in the drawings used to describe embodiments of the present invention; that is, these drawings are not drawn to actual scale. It is understood that when an element such as a layer, film, region, or substrate is referred to as being “above” or “below” another element, the element may be “directly” located “above” or “below” the other element, or there may be intermediate elements.

[0130] 3) Where there is no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other to obtain new embodiments.

[0131] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for evaluating structural safety margin, characterized in that, include: S1: Create a structural model; S2: Add uncertainty to the structural model for a selected material property to obtain the first updated structural model. The selected material property is material strength, specifically including: S21: Obtain statistical distribution information on the strength of each material used in the structure; S22: Based on the statistical distribution information of the strength of each material, calculate the characteristic parameters of the strength of each material according to formula (1). : （1）， in, yes Results of parallel experiments This is the number of groups of parallel experimental results; S23: Based on the statistical distribution information of the strength of each material, calculate the characteristic parameters of the strength of each material according to formula (2). : （2）， in, These are characteristic parameters. yes Results of parallel experiments This is the number of groups of parallel experimental results; S24: Characteristic parameters of strength for each material and characteristic parameters The input is given to the structural model, resulting in the first updated structural model. S3: Add load uncertainties to the first updated structural model to obtain a second updated structural model, specifically including: S31: Obtain structural units Under the action of the load spectrum Element stress at each time point; S32: Based on the structural unit Under the action of the load spectrum The element stress at each time point is used to calculate the characteristic parameters of the element stress according to formula (3). : (3)， in, Structural unit Under the action of the load spectrum, the first Element stress at each time point; S33: Based on the structural unit Under the action of the load spectrum The element stress at each time point is used to calculate the characteristic parameters of the element stress according to formula (4). : （4）， in, Structural unit Under the action of the load spectrum, the first Element stress at each time point These are characteristic parameters; S34: Transfer feature parameters and characteristic parameters The input is given to the first updated structural model, which yields the second updated structural model. S4: Based on the second updated structural model, calculate the structural safety margin and probabilistic characteristics, obtaining the calculated structural safety margin value and probabilistic characteristic value, specifically including: S41: Based on the second updated structural model, calculate the structural units according to formula (5). safety margin : （5） in, These are characteristic parameters of the strength of each material. These are characteristic parameters of the element stress; S42: Based on the second updated structural model, calculate the structural units according to formula (6). failure probability : （6） in, These are characteristic parameters of the strength of each material. These are characteristic parameters of element stress. These are characteristic parameters of the strength of each material. It is a characteristic parameter of the element stress.

2. The structural safety margin evaluation method according to claim 1, characterized in that, The creation structure model of S1 includes: S11: Based on the model creation environment of the selected software, establish an initial structural model, wherein the selected software includes ABAQUS and CAD software; S12: Based on the initialized structural model, define the material properties, loads, and constraints of the structure; S13: Modify the model settings to obtain the structural model. The model settings include mesh density and element type.

3. The structural safety margin evaluation method according to claim 1, characterized in that, The statistical distribution information of the strength of each material used in the structure in step S21 includes: S211: Obtain the strength of each material used in the structure. Results of parallel experiments ; S212: Perform a normal distribution test on the strength of each material used in the structure to obtain statistical distribution information of the strength of each material used in the structure.

4. The structural safety margin evaluation method according to claim 1, characterized in that, The acquisition structure unit of S31 Under the action of the load spectrum The element stress at each time point includes: S311: Obtain the load spectrum, which is the magnitude and direction of the load applied to each element. Obtaining the load spectrum includes obtaining the load spectrum through long-term monitoring and user-defined methods. S312: Based on the load spectrum, according to Stress calculations are performed at each time point within each element to obtain the element stress.

5. A structural safety margin evaluation device, characterized in that, The apparatus is applicable to the method of any one of claims 1-4, and the apparatus comprises: Structural model unit: used to create structural models; Material property element: used to add uncertainty of selected material properties to the structural model to obtain the first updated structural model. The selected material property is material strength, specifically including: S21: Obtain statistical distribution information on the strength of each material used in the structure; S22: Based on the statistical distribution information of the strength of each material, calculate the characteristic parameters of the strength of each material according to formula (1). : （1）， in, yes Results of parallel experiments This is the number of groups of parallel experimental results; S23: Based on the statistical distribution information of the strength of each material, calculate the characteristic parameters of the strength of each material according to formula (2). : （2）， in, These are characteristic parameters. yes Results of parallel experiments This is the number of groups of parallel experimental results; S24: Characteristic parameters of strength for each material and characteristic parameters The input is given to the structural model, resulting in the first updated structural model. Load elements: used to add load uncertainties to the first updated structural model to obtain a second updated structural model, specifically including: S31: Obtain structural units Under the action of the load spectrum Element stress at each time point; S32: Based on the structural unit Under the action of the load spectrum The element stress at each time point is used to calculate the characteristic parameters of the element stress according to formula (3). : (3)， in, Structural unit Under the action of the load spectrum, the first Element stress at each time point; S33: Based on the structural unit Under the action of the load spectrum The element stress at each time point is used to calculate the characteristic parameters of the element stress according to formula (4). : （4）， in, Structural unit Under the action of the load spectrum, the first Element stress at each time point These are characteristic parameters; S34: Transfer feature parameters and characteristic parameters The input is given to the first updated structural model, which yields the second updated structural model. Safety margin unit: Used to calculate the structural safety margin and probabilistic characteristics based on the second updated structural model, obtaining the calculated structural safety margin value and probabilistic characteristic value, specifically including: S41: Based on the second updated structural model, calculate the structural units according to formula (5). safety margin : （5） in, These are characteristic parameters of the strength of each material. These are characteristic parameters of the element stress; S42: Based on the second updated structural model, calculate the structural units according to formula (6). failure probability : （6） in, These are characteristic parameters of the strength of each material. These are characteristic parameters of element stress. These are characteristic parameters of the strength of each material. It is a characteristic parameter of the element stress.

6. An electronic device, characterized in that, The electronic device includes: a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is disposed inside the space enclosed by the housing, and the processor and the memory are disposed on the circuit board; the power supply circuit is used to supply power to various circuits or devices of the electronic device; the memory is used to store executable program code; the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, for executing the method described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, which can be executed by one or more processors to implement the method of any one of claims 1 to 4.

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