A structural health monitoring method and system based on embedded CAE

Abstract

The embodiment of the present invention discloses a structural health monitoring method and system based on embedded CAE, wherein the method comprises: obtaining target nonlinear structural mechanical data corresponding to the target monitoring structure according to the embedded CAE simulation model; obtaining target key deformation parts corresponding to all target structural deformation parts; calculating the target average linear deformation coefficient corresponding to all target key deformation parts, and obtaining the target average linear deformation structural stress corresponding to the target monitoring structure; obtaining the target average linear deformation fatigue strength corresponding to the target monitoring structure; obtaining the target average linear deformation fatigue strength difference, and judging whether the target average linear deformation fatigue strength difference is greater than or equal to the target linear deformation fatigue strength difference threshold; if so, judging that the structural health corresponding to the target monitoring structure is unqualified. The present invention can effectively predict the structural health and remaining life of metal structures in service.

Description

Technical Field

[0001] The present invention relates to the technical field of structural health monitoring, and in particular to a structural health monitoring method and system based on embedded CAE. Background Art

[0002] CAE (computer aided engineering) is to organically organize all aspects of the project. The key is to integrate relevant information so that it is generated and exists throughout the entire life cycle of the project. Traditional CAE technology refers to analytical calculations and analytical simulations in engineering design, including engineering numerical analysis, structural and process optimization design, strength and life assessment, motion / dynamics simulation, and verification of the availability and reliability of future projects / products. Today, with the continuous development of enterprise information technology, CAE software has become the leading technology to support the informatization of the engineering industry and manufacturing enterprises. It has played an important role in improving the design quality of projects / products, reducing research and development costs, and shortening development cycles. It has become a supporting technology for achieving engineering / product innovation.

[0003] Metal structure damage refers to the change of material parameters and geometric characteristics of metal structures when they are affected by external loads and other factors. In the prior art, the process of health monitoring of metal structures is to use sensors to periodically sample and analyze data of metal structures, and extract characteristic factors sensitive to damage from the data to determine the current health status of the metal structures. In recent years, with the development of sensor technology, information acquisition technology, and test and analysis technology, various metal 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 metal structures and timely discovery of safety hazards are one of the effective means to ensure the construction and service safety of metal structures in large projects. At present, the health monitoring technology of metal structures has problems in durability, monitoring accuracy, and optimal replacement time. For example, there will be cracks of varying sizes around metal structures, and the expansion of cracks will pose a threat to the safety of the structure. Therefore, systems and methods for structural health monitoring of metal structures in service and effective prediction of remaining life are urgently needed and of great significance. Summary of the invention

[0004] Based on this, it is necessary to propose a structural health monitoring method and system based on embedded CAE to address the above problems in order to solve the following problems in the prior art: the health monitoring technology of metal 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 structural health monitoring method based on embedded CAE is used for structural health monitoring of metal materials, which comprises: obtaining target nonlinear structural mechanical data corresponding to the target monitoring structure according to an embedded CAE simulation model and a structural material corresponding to a target monitoring structure to be subjected to structural health monitoring, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure; obtaining target key deformation parts corresponding to all target structural deformation parts according to the target nonlinear structural mechanical data, wherein the linear deformation coefficient corresponding to each target key deformation part is greater than or equal to a target preset linear deformation coefficient threshold; calculating all The target average linear deformation coefficient corresponding to the target key deformation part of the part is obtained, and the target average linear deformation structural stress corresponding to the target monitoring structure is obtained according to the target average linear deformation coefficient; the target average linear deformation fatigue strength corresponding to the target monitoring structure is obtained according to the target average linear deformation structural stress; the target average linear deformation fatigue strength is subtracted from the preset target linear deformation fatigue strength threshold to obtain the target average linear deformation fatigue strength difference, and it is determined whether the target average linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength difference threshold; if so, the structural health corresponding to the target monitoring structure is determined to be unqualified.

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

[0008] A structural health monitoring system based on embedded CAE is used for structural health monitoring of metal materials, comprising: a mechanical data acquisition module, which is used to acquire target nonlinear structural mechanical data corresponding to the target monitoring structure according to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure; a deformation part acquisition module, which is used to acquire all target key deformation parts corresponding to the target structural deformation parts according to the target nonlinear structural mechanical data, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to the target preset linear deformation coefficient threshold; a deformation stress acquisition module, which is used to calculate the target average stress corresponding to all the target key deformation parts; A linear deformation coefficient, and obtaining the target average linear deformation structural stress corresponding to the target monitoring structure according to the target average linear deformation coefficient; a fatigue strength acquisition module, used to obtain the target average linear deformation fatigue strength corresponding to the target monitoring structure according to the target average linear deformation structural stress; a phase difference threshold judgment module, used to subtract the target average linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold to obtain a target average linear deformation fatigue strength difference, and judge whether the target average linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength phase difference threshold; a structural health judgment module, used to judge that the structural health corresponding to the target monitoring structure is unqualified when the target average linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength phase difference threshold.

[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] According to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, the target nonlinear structural mechanical data corresponding to the target monitoring structure is obtained, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure; according to the target nonlinear structural mechanical data, the target key deformation parts corresponding to all the target structural deformation parts are obtained, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to the target preset linear deformation coefficient threshold; the target average linear deformation coefficient corresponding to all the target key deformation parts is calculated, and the target average linear deformation structural stress corresponding to the target monitoring structure is obtained according to the target average linear deformation coefficient; according to the target average linear deformation structural stress, the target average linear deformation fatigue strength corresponding to the target monitoring structure is obtained; the target average linear deformation fatigue strength difference is obtained by subtracting the target average linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold, and it is judged whether the target average linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength difference threshold; if so, it is determined that the structural health corresponding to the target monitoring structure is unqualified.

[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] According to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, the target nonlinear structural mechanical data corresponding to the target monitoring structure is obtained, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure; according to the target nonlinear structural mechanical data, the target key deformation parts corresponding to all the target structural deformation parts are obtained, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to the target preset linear deformation coefficient threshold; the target average linear deformation coefficient corresponding to all the target key deformation parts is calculated, and the target average linear deformation structural stress corresponding to the target monitoring structure is obtained according to the target average linear deformation coefficient; according to the target average linear deformation structural stress, the target average linear deformation fatigue strength corresponding to the target monitoring structure is obtained; the target average linear deformation fatigue strength difference is obtained by subtracting the target average linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold, and it is judged whether the target average linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength difference threshold; if so, it is determined that the structural health corresponding to the target monitoring structure is unqualified.

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

[0016] The present invention first obtains the target nonlinear structural mechanical data corresponding to the target monitoring structure according to the embedded CAE simulation model, then obtains the target key deformation parts corresponding to all the target structural deformation parts, then calculates the target average linear deformation coefficients corresponding to all the target key deformation parts, and obtains the target average linear deformation structural stress corresponding to the target monitoring structure, then obtains the target average linear deformation fatigue strength corresponding to the target monitoring structure, then obtains the target average linear deformation fatigue strength difference, and determines whether the target average linear deformation fatigue strength difference is greater than or equal to the target linear deformation fatigue strength difference threshold, and finally, when the target average linear deformation fatigue strength difference is greater than or equal to the target linear deformation fatigue strength difference threshold, it is determined that the structural health corresponding to the target monitoring structure is unqualified. The present invention can accurately monitor the target monitoring structure and can effectively predict the structural health and remaining life of the metal structure in service. 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 structural health monitoring method based on embedded CAE in an embodiment;

[0020] Figure 2 A framework diagram of an implementation scheme of a structural health monitoring system based on embedded CAE in an 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 1 It can be seen that the structural health monitoring method based on embedded CAE in the embodiment of the present invention is used for structural health monitoring of metal materials, which includes the following steps:

[0024] Step S101: According to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, target nonlinear structural mechanical data corresponding to the target monitoring structure is obtained, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure.

[0025] Among them, embedded CAE health monitoring is a strategic emerging module of SiPESC (Software Integration Platform for Engineering and Scientific Computation). On the basis of traditional structural health monitoring, it integrates cutting-edge CAE simulation technology, model correction technology, agent model technology, large-scale visualization technology, big data analysis technology, digital twin technology and 5G communication technology, making structural health monitoring more intelligent, efficient, accurate and visualized, and has been widely used in structural health monitoring of bridges, tunnels, foundation pits, telecommunication towers, etc.

[0026] Among them, nonlinear mechanics is a science that studies the geometric nonlinearity and physical nonlinearity of objects, and it exists widely in the natural world. Among them, the nonlinear mechanics data of metal structures is closely related to their fatigue durability, and the corresponding target metal structure fatigue analysis data can be derived from the nonlinear mechanics data of metal structures.

[0027] Among them, all target structural deformation parts corresponding to the target monitoring structure can be obtained according to the target nonlinear structural mechanics data.

[0028] Step S102: according to the target nonlinear structural mechanics data, obtaining target key deformation parts corresponding to all the target structural deformation parts, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to a target preset linear deformation coefficient threshold.

[0029] Among them, the deformation coefficient of metal refers to the degree of deformation of metal materials under the action of force. The deformation coefficient is a dimensionless physical quantity, usually represented by ε. The deformation coefficient can be divided into two types: linear deformation coefficient and volume deformation coefficient.

[0030] Among them, the linear deformation coefficient refers to the ratio of the length change of the material along the force direction under the action of force to the original length. The linear deformation coefficient can be expressed by the formula ε=ΔL / L0, where ΔL is the length change and L0 is the original length. Among them, the volume deformation coefficient refers to the ratio of the volume change of the material under the action of force to the original volume. The volume deformation coefficient can be expressed by the formula ε=ΔV / V0, where ΔV is the volume change and V0 is the original volume.

[0031] The target preset linear deformation coefficient threshold of this step is an empirical threshold and is not limited here.

[0032] Among them, the larger the linear deformation coefficient of the metal structure, the greater the deformation of the object and the smaller the external force it can withstand.

[0033] Step S103: Calculate the target average linear deformation coefficients corresponding to all the target key deformation parts, and obtain the target average linear deformation structural stress corresponding to the target monitoring structure according to the target average linear deformation coefficients.

[0034] Among them, structural stress refers to the internal force generated between the parts of the object when the structure of the object is deformed due to external factors to resist the effect of such external factors. When an object is deformed due to external factors, the internal forces that interact with each other are 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. Among them, the structural stress data is closely related to the corresponding fatigue analysis data, and the fatigue analysis data can be derived from the structural stress data.

[0035] Step S104: acquiring a target average linear deformation fatigue strength corresponding to the target monitoring structure according to the target average linear deformation structural stress.

[0036] There is a proportional relationship between the linear deformation structural stress and the linear deformation fatigue strength, and the target average linear deformation fatigue strength corresponding to the target monitoring structure can be obtained according to the target average linear deformation structural stress.

[0037] Step S105: subtracting the target average linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold to obtain a target average linear deformation fatigue strength difference, and determining whether the target average linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength difference threshold.

[0038] Among them, when the target average linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength difference threshold, it means that the target average linear deformation fatigue strength difference has exceeded the limit value, and the metal structure is very prone to problems such as cracking and damage.

[0039] Step S106: If the target average linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength difference threshold, it is determined that the structural health corresponding to the target monitoring structure is unqualified.

[0040] After determining that the structural health of the target monitoring structure is unqualified, the next monitoring step is stopped, and the information that the structural health of the target monitoring structure is unqualified is sent to the relevant department for processing.

[0041] In this embodiment, optionally, according to the target nonlinear structural mechanics data, the target key deformation parts corresponding to all the target structural deformation parts are obtained, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to the target preset linear deformation coefficient threshold, and then includes:

[0042] First, a target key deformation part with the largest linear deformation coefficient is obtained, and recorded as the target key deformation part with the largest deformation coefficient.

[0043] Among all the deformation parts of the target structure, if the deformation of one part exceeds the dangerous deformation value, the target monitoring structure will have problems. Therefore, this step needs to first check the most dangerous part.

[0044] Second, the target maximum linear deformation structural stress corresponding to the maximum critical deformation part of the target deformation coefficient is obtained, and the target linear deformation fatigue strength limit value corresponding to the maximum critical deformation part of the target deformation coefficient is obtained according to the target maximum linear deformation structural stress.

[0045] Third, determine whether the target linear deformation fatigue strength limit value is greater than or equal to a preset target linear deformation fatigue strength limit threshold value.

[0046] The target linear deformation fatigue strength limit threshold is an empirical threshold and is not limited here. As long as the target linear deformation fatigue strength limit value is greater than or equal to the preset target linear deformation fatigue strength limit threshold, it means that the target deformation coefficient maximum critical deformation part is very prone to dangerous problems and needs to be processed. Otherwise, it means that the target deformation coefficient maximum critical deformation part meets the safety requirements.

[0047] Fourth, if the target linear deformation fatigue strength limit value is greater than or equal to the preset target linear deformation fatigue strength limit threshold value, the structural health corresponding to the target monitoring structure is determined to be unqualified, and the next monitoring step is stopped, and the information that the structural health corresponding to the target monitoring structure is unqualified is sent to the relevant department for processing.

[0048] In this embodiment, optionally, the target nonlinear structural mechanical data corresponding to the target monitoring structure to be subjected to structural health monitoring is obtained according to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure, including:

[0049] First, according to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, the target equivalent stress data and the target maximum shear stress data corresponding to the target monitoring structure are obtained, and the target equivalent stress data and the target maximum shear stress data are used as the target nonlinear structural mechanics data corresponding to the target monitoring structure.

[0050] Among them, the structural material corresponding to the target monitoring structure is closely related to its structural stress. Therefore, in this step, the embedded CAE simulation model is combined with the structural material corresponding to the target monitoring structure to jointly obtain the target equivalent stress data and the target maximum shear stress data corresponding to the target monitoring structure, and the target equivalent stress data and the target maximum shear stress data are used as the target nonlinear structural mechanics data corresponding to the target monitoring structure.

[0051] Second, all the target structural deformation locations corresponding to the target monitoring structure are obtained according to the target equivalent stress data and the target maximum shear stress data.

[0052] The target structure may include multiple deformation parts, so the overall situation of the target monitoring structure needs to be considered.

[0053] In this embodiment, optionally, the step of obtaining target key deformation parts corresponding to all target structural deformation parts according to the target nonlinear structural mechanics data, wherein the linear deformation coefficient corresponding to each target key deformation part is greater than or equal to a target preset linear deformation coefficient threshold, includes:

[0054] First, according to the target equivalent stress data and the target maximum shear stress data, all linear deformation coefficients corresponding to all deformation parts of the target structure are obtained.

[0055] Each deformation part of the target structure corresponds to a linear deformation coefficient, and deformation parts of the target structure with different deformation degrees have different linear deformation coefficients.

[0056] Second, the target structural deformation part whose linear deformation coefficient is greater than or equal to the target preset linear deformation coefficient threshold is taken as the target key deformation part.

[0057] Among them, this step only considers the deformed parts of the target structure whose linear deformation coefficient is greater than or equal to the preset linear deformation coefficient threshold of the target, because these parts are likely to cause problems to the target monitoring structure.

[0058] In this embodiment, optionally, the calculating the target average linear deformation coefficients corresponding to all the target key deformation parts, and obtaining the target average linear deformation structural stress corresponding to the target monitoring structure according to the target average linear deformation coefficient, includes:

[0059] First, the linear deformation coefficients corresponding to all the target structural deformation parts are averaged to obtain the target average linear deformation coefficients corresponding to all the target key deformation parts.

[0060] The target average linear deformation coefficient of this step is used to monitor the overall situation of the target monitoring structure, corresponding to the entire target monitoring structure.

[0061] Second, the target average linear deformation coefficient is substituted into a preset target linear deformation coefficient and linear deformation structure stress correspondence table to obtain the target average linear deformation structure stress corresponding to the target monitoring structure.

[0062] Among them, in the target linear deformation coefficient and linear deformation structure stress correspondence table, the linear deformation coefficient of the metal structure and the linear deformation structure stress correspond one to one, and the corresponding relationship is formulated based on empirical data.

[0063] The target linear deformation coefficient and linear deformation structure stress correspondence table is pre-set in a designated database, and the target average linear deformation structure stress corresponding to the target monitoring structure can be obtained according to the target linear deformation coefficient and linear deformation structure stress correspondence table.

[0064] In this embodiment, optionally, obtaining a target average linear deformation fatigue strength corresponding to the target monitoring structure according to the target average linear deformation structural stress includes:

[0065] The target average linear deformation structural stress is substituted into a preset target linear deformation structural stress and linear deformation fatigue strength correspondence table to obtain the target average linear deformation fatigue strength corresponding to the target monitoring structure.

[0066] Among them, in the target linear deformation structural stress and linear deformation fatigue strength correspondence table, the linear deformation structural stress and the linear deformation fatigue strength of the metal structure correspond one to one, and the corresponding relationship is formulated based on empirical data.

[0067] Among them, the target linear deformation structure stress and linear deformation fatigue strength correspondence table is pre-set in a designated database, and the target average linear deformation fatigue strength corresponding to the target monitoring structure can be obtained according to the pre-set in the designated database.

[0068] In this embodiment, optionally, the determining whether the target average linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength difference threshold value comprises:

[0069] First, if the target average linear deformation fatigue strength difference is less than a preset target linear deformation fatigue strength difference threshold, then the target maximum linear deformation coefficients corresponding to all the target key deformation parts are obtained.

[0070] Second, the target maximum linear deformation structural stress corresponding to the target monitoring structure is obtained according to the target maximum linear deformation coefficient.

[0071] Third, according to the target maximum linear deformation structural stress, the target maximum linear deformation fatigue strength corresponding to the target monitoring structure is obtained.

[0072] Fourth, subtract the target maximum linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold to obtain a target maximum linear deformation fatigue strength difference, and determine whether the target maximum linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength difference threshold.

[0073] Fifth, if the target maximum linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength difference threshold, it is determined that the structural health corresponding to the target monitoring structure is unqualified.

[0074] See also Figure 2 , combined with Figure 2 It can be seen that an embedded CAE-based structural health monitoring system 100 according to an embodiment of the present invention is used for structural health monitoring of metal materials, and includes:

[0075] The mechanical data acquisition module 10 is used to acquire the target nonlinear structural mechanical data corresponding to the target monitoring structure to be subjected to structural health monitoring according to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure;

[0076] A deformation part acquisition module 20 is used to acquire target key deformation parts corresponding to all the target structural deformation parts according to the target nonlinear structural mechanics data, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to a target preset linear deformation coefficient threshold;

[0077] The deformation stress acquisition module 30 is used to calculate the target average linear deformation coefficients corresponding to all the target key deformation parts, and obtain the target average linear deformation structural stress corresponding to the target monitoring structure according to the target average linear deformation coefficient;

[0078] A fatigue strength acquisition module 40 is used to acquire a target average linear deformation fatigue strength corresponding to the target monitoring structure according to the target average linear deformation structural stress;

[0079] A phase difference threshold judgment module 50 is used to obtain a target average linear deformation fatigue strength difference by subtracting the target average linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold, and to judge whether the target average linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength phase difference threshold;

[0080] The structural health determination module 60 is used to determine that the structural health corresponding to the target monitoring structure is unqualified when the target average linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength difference threshold.

[0081] 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 structural health monitoring method based on embedded CAE. 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 structural health monitoring method based on embedded CAE. 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.

[0082] 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:

[0083] According to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, the target nonlinear structural mechanical data corresponding to the target monitoring structure is obtained, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure; according to the target nonlinear structural mechanical data, the target key deformation parts corresponding to all the target structural deformation parts are obtained, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to the target preset linear deformation coefficient threshold; the target average linear deformation coefficient corresponding to all the target key deformation parts is calculated, and the target average linear deformation structural stress corresponding to the target monitoring structure is obtained according to the target average linear deformation coefficient; according to the target average linear deformation structural stress, the target average linear deformation fatigue strength corresponding to the target monitoring structure is obtained; the target average linear deformation fatigue strength difference is obtained by subtracting the target average linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold, and it is judged whether the target average linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength difference threshold; if so, it is determined that the structural health corresponding to the target monitoring structure is unqualified.

[0084] 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:

[0085] According to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, the target nonlinear structural mechanical data corresponding to the target monitoring structure is obtained, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure; according to the target nonlinear structural mechanical data, the target key deformation parts corresponding to all the target structural deformation parts are obtained, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to the target preset linear deformation coefficient threshold; the target average linear deformation coefficient corresponding to all the target key deformation parts is calculated, and the target average linear deformation structural stress corresponding to the target monitoring structure is obtained according to the target average linear deformation coefficient; according to the target average linear deformation structural stress, the target average linear deformation fatigue strength corresponding to the target monitoring structure is obtained; the target average linear deformation fatigue strength difference is obtained by subtracting the target average linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold, and it is judged whether the target average linear deformation fatigue strength difference is greater than or equal to the preset target linear deformation fatigue strength difference threshold; if so, it is determined that the structural health corresponding to the target monitoring structure is unqualified.

[0086] 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).

[0087] The present invention first obtains the target nonlinear structural mechanical data corresponding to the target monitoring structure according to the embedded CAE simulation model, then obtains the target key deformation parts corresponding to all the target structural deformation parts, then calculates the target average linear deformation coefficients corresponding to all the target key deformation parts, and obtains the target average linear deformation structural stress corresponding to the target monitoring structure, then obtains the target average linear deformation fatigue strength corresponding to the target monitoring structure, then obtains the target average linear deformation fatigue strength difference, and determines whether the target average linear deformation fatigue strength difference is greater than or equal to the target linear deformation fatigue strength difference threshold, and finally, when the target average linear deformation fatigue strength difference is greater than or equal to the target linear deformation fatigue strength difference threshold, it is determined that the structural health corresponding to the target monitoring structure is unqualified. The present invention can accurately monitor the target monitoring structure and can effectively predict the structural health and remaining life of the metal structure in service.

[0088] The technical features of the above embodiments may be arbitrarily combined. 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.

[0089] 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 structural health monitoring method based on embedded CAE for structural health monitoring of metal materials, characterized in that: include: According to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, target nonlinear structural mechanics data corresponding to the target monitoring structure is obtained, and the target nonlinear structural mechanics data includes all target structural deformation parts corresponding to the target monitoring structure; According to the target nonlinear structural mechanics data, the target key deformation parts corresponding to all the target structural deformation parts are obtained, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to the target preset linear deformation coefficient threshold; Calculating the target average linear deformation coefficients corresponding to all the target key deformation parts, and obtaining the target average linear deformation structural stress corresponding to the target monitoring structure according to the target average linear deformation coefficients; According to the target average linear deformation structural stress, obtaining the target average linear deformation fatigue strength corresponding to the target monitoring structure; Subtracting the target average linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold to obtain a target average linear deformation fatigue strength difference, and determining whether the target average linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength difference threshold; If so, it is determined that the structural health corresponding to the target monitoring structure is unqualified.

2. The structural health monitoring method based on embedded CAE according to claim 1, characterized in that: According to the target nonlinear structural mechanics data, target key deformation parts corresponding to all the target structural deformation parts are obtained, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to the target preset linear deformation coefficient threshold, and then includes: Obtaining a target key deformation part with the largest linear deformation coefficient, and recording it as the target key deformation part with the largest deformation coefficient; Obtaining a target maximum linear deformation structural stress corresponding to the target maximum critical deformation position of the deformation coefficient, and obtaining a target linear deformation fatigue strength limit value corresponding to the target maximum critical deformation position of the deformation coefficient according to the target maximum linear deformation structural stress; Determining whether the target linear deformation fatigue strength limit value is greater than or equal to a preset target linear deformation fatigue strength limit threshold value; If so, it is determined that the structural health corresponding to the target monitoring structure is unqualified, and the next monitoring step is stopped, and the information that the structural health corresponding to the target monitoring structure is unqualified is sent to the relevant department for processing.

3. The structural health monitoring method based on embedded CAE according to claim 1, characterized in that: According to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, target nonlinear structural mechanical data corresponding to the target monitoring structure is obtained, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure, including: According to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure to be subjected to structural health monitoring, target equivalent stress data and target maximum shear stress data corresponding to the target monitoring structure are obtained, and the target equivalent stress data and the target maximum shear stress data are used as the target nonlinear structural mechanics data corresponding to the target monitoring structure; According to the target equivalent stress data and the target maximum shear stress data, all the target structural deformation locations corresponding to the target monitoring structure are obtained.

4. The structural health monitoring method based on embedded CAE according to claim 3 is characterized in that: The step of obtaining target key deformation parts corresponding to all target structural deformation parts according to the target nonlinear structural mechanics data, wherein the linear deformation coefficient corresponding to each target key deformation part is greater than or equal to a target preset linear deformation coefficient threshold, comprises: According to the target equivalent stress data and the target maximum shear stress data, obtaining all linear deformation coefficients corresponding to all deformation parts of the target structure; The target structural deformation part whose linear deformation coefficient is greater than or equal to the target preset linear deformation coefficient threshold is taken as the target key deformation part.

5. The structural health monitoring method based on embedded CAE according to claim 4, characterized in that: The step of calculating the target average linear deformation coefficients corresponding to all the target key deformation parts, and obtaining the target average linear deformation structural stress corresponding to the target monitoring structure according to the target average linear deformation coefficients, includes: The linear deformation coefficients corresponding to all the target structural deformation parts are averaged to obtain the target average linear deformation coefficients corresponding to all the target key deformation parts; Substituting the target average linear deformation coefficient into a preset corresponding table of target linear deformation coefficient and linear deformation structure stress to obtain the target average linear deformation structure stress corresponding to the target monitoring structure; Among them, in the target linear deformation coefficient and linear deformation structure stress correspondence table, the linear deformation coefficient and the linear deformation structure stress of the metal structure correspond one to one.

6. The structural health monitoring method based on embedded CAE according to claim 1, characterized in that: The step of obtaining the target average linear deformation fatigue strength corresponding to the target monitoring structure according to the target average linear deformation structural stress includes: Substituting the target average linear deformation structural stress into a preset target linear deformation structural stress and linear deformation fatigue strength correspondence table to obtain the target average linear deformation fatigue strength corresponding to the target monitoring structure; Among them, in the target linear deformation structural stress and linear deformation fatigue strength correspondence table, the linear deformation structural stress and the linear deformation fatigue strength of the metal structure correspond one to one.

7. The structural health monitoring method based on embedded CAE according to claim 1, characterized in that: The step of judging whether the target average linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength difference threshold value comprises: If the target average linear deformation fatigue strength difference is less than a preset target linear deformation fatigue strength difference threshold, then obtaining the target maximum linear deformation coefficients corresponding to all the target key deformation parts; Obtaining a target maximum linear deformation structural stress corresponding to the target monitoring structure according to the target maximum linear deformation coefficient; According to the target maximum linear deformation structural stress, obtaining the target maximum linear deformation fatigue strength corresponding to the target monitoring structure; Subtracting the target maximum linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold to obtain a target maximum linear deformation fatigue strength difference, and determining whether the target maximum linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength difference threshold; If so, it is determined that the structural health corresponding to the target monitoring structure is unqualified.

8. A structural health monitoring system based on embedded CAE, used for structural health monitoring of metal materials, characterized in that: include: A mechanical data acquisition module is used to acquire target nonlinear structural mechanical data corresponding to the target monitoring structure to be subjected to structural health monitoring according to the embedded CAE simulation model and the structural material corresponding to the target monitoring structure, and the target nonlinear structural mechanical data includes all target structural deformation parts corresponding to the target monitoring structure; A deformation part acquisition module, used for acquiring target key deformation parts corresponding to all the target structural deformation parts according to the target nonlinear structural mechanics data, wherein the linear deformation coefficient corresponding to each of the target key deformation parts is greater than or equal to the target preset linear deformation coefficient threshold; A deformation stress acquisition module, used to calculate the target average linear deformation coefficients corresponding to all the target key deformation parts, and obtain the target average linear deformation structural stress corresponding to the target monitoring structure according to the target average linear deformation coefficient; A fatigue strength acquisition module, used to acquire a target average linear deformation fatigue strength corresponding to the target monitoring structure according to the target average linear deformation structural stress; A phase difference threshold judgment module, used for subtracting the target average linear deformation fatigue strength from the preset target linear deformation fatigue strength threshold to obtain a target average linear deformation fatigue strength difference, and judging whether the target average linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength phase difference threshold; The structural health determination module is used to determine that the structural health corresponding to the target monitoring structure is unqualified when the target average linear deformation fatigue strength difference is greater than or equal to a preset target linear deformation fatigue strength difference threshold.

9. 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 structural health monitoring method based on embedded CAE according to any one of claims 1 to 7.

10. A computer device, characterized in that: It 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 structural health monitoring method based on embedded CAE as claimed in any one of claims 1 to 7.

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