Method and system for simulating and analyzing random corrosion damage of components applied to digital power grid

Abstract

The present invention provides a method and system for simulating and analyzing random corrosion damage of components applied to digital power grids, which relates to the technical field of digital power grids. The method includes: obtaining basic parameters of angle steel components; establishing an initial model; determining the comprehensive average corrosion rate according to the atmospheric corrosivity level of the location thereof, and then determining the uniform corrosion depth, pitting pit depth and the number of random distributions of pitting corrosion; performing random corrosion damage distribution on the initial model to obtain a corrosion damage model; applying a load to the corrosion damage model to perform nonlinear analysis of random corrosion damage, and obtaining the corrosion damage stress performance of angle steel components under different years. The system includes: a basic parameter library, a modeling module, an atmospheric pollution environment library, a corrosion parameter calculation module, a random corrosion damage distribution module and a random corrosion damage nonlinear analysis module. The present invention can efficiently realize the durability parametric design and analysis of angle steel components throughout their life cycle, and ensure safe and stable operation of the line.

Description

Technical Field

[0001] The present invention relates to the technical field of digital power grids, and in particular to a method and system for simulating and analyzing random corrosion damage of components applied to digital power grids. Background Art

[0002] The development of power grid lines has accumulated an extremely large power grid stock market. The operation time of stock lines ranges from 5 to 70 years. Their durability has become a key factor restricting line operation. It has also become a key point in the digital evaluation and reinforcement of power grid lines, ultimately realizing digital operation and maintenance reinforcement throughout its life cycle.

[0003] However, there is currently no method or system in the entire field that can simulate random corrosion damage of angle steel components. Each study on random corrosion damage of components needs to be conducted through experiments, etc. This method is time-consuming and labor-intensive, with poor economy and timeliness. It is impossible to achieve parametric design and analysis of random corrosion damage of components, and thus achieve parametric design of durability throughout its life cycle. Summary of the invention

[0004] The present invention aims to solve at least one of the above-mentioned technical problems existing in the prior art.

[0005] To this end, a first aspect of the present invention provides a component random corrosion damage simulation analysis method applied to a digital power grid.

[0006] A second aspect of the present invention provides a component random corrosion damage simulation and analysis system applied to a digital power grid.

[0007] The present invention provides a component random corrosion damage simulation analysis method applied to a digital power grid, comprising:

[0008] Obtaining basic parameters of the angle steel component, wherein the basic parameters include the geographical location, geometric information, load information and service life of the angle steel component;

[0009] Establishing the initial model of the angle steel component according to the geometric information of the angle steel component;

[0010] Obtain the atmospheric corrosivity level of the angle steel component's geographical location in real time;

[0011] Determine the comprehensive average corrosion rate of the steel body layer of the angle steel component according to the atmospheric corrosivity level of the geographical location of the angle steel component;

[0012] Determine the uniform corrosion depth, pit depth and random number of pitting corrosion of the angle steel member according to the comprehensive average corrosion rate; and randomly select the pit diameter of each pitting corrosion within a set range;

[0013] Randomly distribute corrosion damage on the initial model according to the determined uniform corrosion depth, pitting depth, random distribution number of pitting and pitting diameter to obtain a corrosion damage model;

[0014] According to the basic parameters of the angle steel component, the corrosion damage model is divided into hexahedron meshes, nonlinear material properties are defined and attached, and constrained load information is applied. A nonlinear analysis of random corrosion damage is performed, wherein the parameter quantity that changes with time is limited to the depth of corrosion, and the corrosion damage stress performance of the angle steel component under different years is obtained.

[0015] The component random corrosion damage simulation and analysis system applied to the digital power grid according to the above technical solution of the present invention may also have the following additional technical features:

[0016] In the above technical solution, the atmospheric corrosivity grades include C1 grade, C2 grade, C3 grade, C4 grade, C5 grade and CX grade divided according to ISO 9223 standard.

[0017] In the above technical solution, the method of determining the comprehensive average corrosion rate of the steel body layer of the angle steel component according to the atmospheric corrosivity level of the geographical location of the angle steel component comprises:

[0018] When the atmospheric corrosivity level is C1, the comprehensive average corrosion rate is 0.3 μm / year;

[0019] When the atmospheric corrosivity level is C2, the comprehensive average corrosion rate is 0.6 μm / year;

[0020] When the atmospheric corrosivity level is C3, the comprehensive average corrosion rate is 12.0 μm / year;

[0021] When the atmospheric corrosivity level is C4, the comprehensive average corrosion rate is 19.2 μm / year;

[0022] When the atmospheric corrosivity level is C5, the comprehensive average corrosion rate is 47.9 μm / year;

[0023] When the atmospheric corrosivity level is CX level, the comprehensive average corrosion rate is 167.7 μm / year.

[0024] In the above technical solution, the method of determining the uniform corrosion depth, pitting depth and random distribution number of pitting of the angle steel member according to the comprehensive average corrosion rate includes:

[0025] Determine the uniform corrosion depth of angle steel members:

[0026]

[0027] Determine the pitting depth of angle steel members:

[0028]

[0029] Determine the number of random distributions for pitting corrosion:

[0030]

[0031]

[0032] in, Indicates uniform corrosion depth; It represents the comprehensive average corrosion rate; Indicates the operating time in years; Indicates that the pitting corrosion is deep; Indicates the number of random seeds of point corrosion; int() indicates the rounding down function; Indicates the effective surface area of ​​the angle steel member; Indicates the limb width of the angle steel member; Indicates the limb thickness of the angle steel member; It represents the effective length of the angle steel member, which is the distance between the constraint nodes at both ends.

[0033] In the above technical solution, the pit diameter of the pitting corrosion is set in the range of 10~15mm.

[0034] In the above technical solution, the step of performing random corrosion damage distribution on the initial model according to the determined uniform corrosion depth, pitting depth, random number of pitting distributions and pitting diameter to obtain the corrosion damage model includes:

[0035] Perform uniform corrosion on the initial model according to the uniform corrosion principle, wherein the uniform corrosion setting area should at least cover the angle steel member in the width direction of the surface;

[0036] The pitting corrosion is distributed on the initial model according to the pitting corrosion distribution principle, wherein there is no range overlap between any two pitting corrosions in the same plane;

[0037] Among them, random Boolean operations and local coordinate system are used to realize the geometric distribution of random corrosion damage.

[0038] In the above technical solution, the uniform corrosion distribution principle includes: calculating the uniform corrosion depth As the corrosion depth of uniform corrosion, it appears randomly on the random limb surface of the angle steel component. The shape of uniform corrosion is a rectangle, the width is the limb width of the corresponding limb surface of the angle steel component, and the length is rand (0, L);

[0039] Among them, the limb surface of the angle steel component includes a first outer surface, a second outer surface, a first inner surface and a second inner surface, the width of the first outer surface and the second outer surface is equal to the limb width of the angle steel component, and the width of the first inner surface and the second inner surface is equal to the difference between the limb width and the limb thickness of the angle steel component; rand() represents a random function.

[0040] In the above technical solution, the pitting corrosion distribution principle includes: the calculated pitting corrosion pit depth and the number of random distributions of pitting corrosion As the depth and number of pitting corrosion distribution; the location of pitting corrosion appears randomly on the random limb surface of the angle steel; for any two pitting corrosions located on the same limb surface, a coordinate system is established based on the limb surface, and the center positions K1 and K2 of the two pitting corrosions must satisfy:

[0041]

[0042] Among them, (X1, Y1) is the coordinate of K1 in the coordinate system, (X2, Y2) is the coordinate of K2 in the coordinate system, is the pit diameter of pitting corrosion represented by K1, K2 represents the pit diameter of the pitting corrosion, and max() represents the maximum value function;

[0043] Also, the outer boundary of pitting corrosion cannot extend beyond the limb surface.

[0044] The present invention provides a component random corrosion damage simulation and analysis system for digital power grid, which is applied to the method described in any one of the above technical solutions, and the system includes:

[0045] A basic parameter library is used to store basic parameters of angle steel components, including the geographical location, geometric information, load information and service life of the angle steel components;

[0046] Modeling module, which builds the initial model according to the basic parameters of the angle steel component;

[0047] Atmospheric pollution environment library, used to automatically read the latest version of the atmospheric corrosivity level in the area where the power grid is located;

[0048] The corrosion parameter calculation module is connected to the basic parameter library and the atmospheric pollution environment library respectively, and is used to read the atmospheric pollution environment library according to the geographical location of the angle steel component, obtain the atmospheric corrosion grade of the area where the angle steel component is located, and then obtain the comprehensive average corrosion rate of the steel body layer of the angle steel component according to the atmospheric corrosion grade; and determine the corrosion parameters of the angle steel component according to the comprehensive average corrosion rate, and the corrosion parameters include: uniform corrosion depth, pit depth and random number of pit corrosion, and randomly select each pit diameter of pit corrosion within a set range;

[0049] The random corrosion damage distribution module is connected to the corrosion parameter calculation module, and according to the uniform corrosion distribution principle and the point corrosion distribution principle, the random Boolean operation and the local coordinate system of the numerical analysis platform are used to perform geometric distribution of random corrosion damage on the initial model based on the corrosion parameters to obtain the corrosion model;

[0050] The module for nonlinear analysis of random corrosion damage performs hexahedral meshing, nonlinear material property definition and attachment, and constraint load information application on the corrosion model; the module calls the numerical analysis platform and adopts the geometric large deformation analysis method to carry out nonlinear analysis of random corrosion damage under time T. Within the full life cycle of the angle steel component, when the position of the random seeding is determined, the parameter quantity of the numerical analysis is limited to the depth of corrosion as the time changes, and the stress performance of the corrosion damage of the angle steel component under different years is obtained.

[0051] In the above technical solution, the system also includes:

[0052] The display interface uses at least one of the stress cloud map, strain cloud map and deformation cloud map to display the analysis results of the corrosion damage stress performance of angle steel components under different years, and uses different colors to distinguish them according to the degree to which their stress performance deviates from the allowable value of the specification.

[0053] In summary, due to the adoption of the above technical features, the beneficial effects of the present invention are:

[0054] By adopting the component random corrosion damage simulation and analysis method and system of the present invention, the corrosion conditions of angle steel components can be simulated scientifically and effectively, and the corrosion degree of angle steel components can be differentiated according to the actual operating geographical location, so as to fit the real operating scenario and obtain more accurate simulation results; at the same time, it is different from the traditional method of simulating random corrosion damage of components by experiments, and it is more efficient, and can realize the durability parametric design and analysis of the entire life cycle of angle steel components, combined with the concept of digital power grid construction, to ensure the safe and stable operation of the line.

[0055] Additional aspects and advantages of the present invention will become apparent from the following description or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0057] Figure 1 It is a flow chart of a method for simulating and analyzing random corrosion damage of components applied to a digital power grid according to an embodiment of the present invention;

[0058] Figure 2It is a module schematic diagram of a component random corrosion damage simulation and analysis system applied to a digital power grid according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0060] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0061] Refer to the following Figure 1 and Figure 2 The following describes a method and system for simulating and analyzing random corrosion damage of components applied to a digital power grid according to some embodiments of the present invention.

[0062] Some embodiments of the present application provide a method for simulating and analyzing random corrosion damage of components applied to a digital power grid.

[0063] like Figure 1 As shown, the first embodiment of the present invention proposes a component random corrosion damage simulation analysis method applied to a digital power grid, including steps S1-S7. It should be noted that the order of steps S1-S7 referred to in the present disclosure is only a schematic representation. In actual application, those skilled in the art can adjust it according to actual needs, and steps of different orders can also be executed simultaneously.

[0064] S1. Obtain basic parameters of the angle steel component, which include the geographical location, geometric information, load information and service life of the angle steel component. The basic parameters of the angle steel component can be collected by designers on demand based on power grid design data and operation and maintenance data, or an independent database can be built to store all the data and call it when needed.

[0065] S2. Establish an initial model of the angle steel component according to the geometric information of the angle steel component; the geometric information at least records the shape and size of the angle steel component, and the angle steel component can be modeled based on this type of data.

[0066] S3. Obtain the atmospheric corrosion level of the geographical location where the angle steel component is located in real time. It is understandable that the present disclosure distinguishes the corrosion degree of the angle steel component according to different atmospheric corrosion levels, and considering that the transmission line where the angle steel component is located has a long service life, the atmospheric corrosion level of the area where it is located is not static, and there may be a large difference when it is put into operation and after a period of operation. Therefore, the latest version of the atmospheric corrosion level of the target geographical location is obtained in real time.

[0067] In a specific embodiment, the atmospheric corrosivity grades include C1 grade, C2 grade, C3 grade, C4 grade, C5 grade and CX grade classified according to ISO 9223 standard.

[0068] ISO 9223 is an international standard related to metal corrosion. C1, C2, C3, C4, C5 and CX are all atmospheric corrosivity levels clearly distinguished in the standard. The specific classification is as follows:

[0069] C1 atmospheric corrosivity refers to a dry, pollution-free atmospheric environment where the corrosion rate of metal materials is very slow and generally does not cause significant corrosion damage to metal materials. This environment generally only exists in special occasions such as laboratories.

[0070] C2 atmospheric corrosivity level means that in slightly polluted atmospheric environments such as cities and industrial areas, the corrosion rate of metal materials is relatively slow, but metal materials will still suffer a certain degree of corrosion damage after long-term exposure to such environments. In such environments, metal materials need to be regularly maintained and serviced.

[0071] C3 atmospheric corrosivity refers to the rapid corrosion rate of metal materials in moderately polluted atmospheric environments such as coastal areas and urban industrial areas, and the metal materials will suffer significant corrosion damage. In this environment, metal materials need to take some measures, such as coating and anti-corrosion treatment, to extend their service life.

[0072] C4 atmospheric corrosivity refers to the fact that in seriously polluted atmospheric environments such as oceans and chemical plants, the corrosion rate of metal materials is very fast and the metal materials will suffer serious corrosion damage. In this environment, metal materials need to take high-intensity anti-corrosion measures, such as using stainless steel, galvanized and other materials.

[0073] C5 atmospheric corrosivity refers to the extremely polluted atmospheric environment such as chemical plants and offshore oil platforms, where the corrosion rate of metal materials is very fast and metal materials will suffer extremely serious corrosion damage. In this environment, metal materials need to take the strongest anti-corrosion measures, such as using special alloy materials and electrophoretic coatings.

[0074] CX atmospheric corrosivity refers to the situation that in special environments, such as high temperature, high humidity, strong acid, strong alkali and other extreme environments, the corrosion rate of metal materials is very fast and the metal materials will suffer extremely serious corrosion damage. In such environments, metal materials need to take the strongest anti-corrosion measures, such as using special alloy materials and electrophoretic coatings.

[0075] S4. Determine the comprehensive average corrosion rate of the steel body layer of the angle steel component based on the atmospheric corrosivity level of the geographical location of the angle steel component.

[0076] In a specific embodiment, based on the above atmospheric corrosivity classification, the method for determining the comprehensive average corrosion rate is:

[0077] When the atmospheric corrosivity level is C1, the comprehensive average corrosion rate is 0.3 μm / year;

[0078] When the atmospheric corrosivity level is C2, the comprehensive average corrosion rate is 0.6 μm / year;

[0079] When the atmospheric corrosivity level is C3, the comprehensive average corrosion rate is 12.0 μm / year;

[0080] When the atmospheric corrosivity level is C4, the comprehensive average corrosion rate is 19.2 μm / year;

[0081] When the atmospheric corrosivity level is C5, the comprehensive average corrosion rate is 47.9 μm / year;

[0082] When the atmospheric corrosivity level is CX level, the comprehensive average corrosion rate is 167.7 μm / year.

[0083] S5. Determine the uniform corrosion depth, pit depth and random number of pitting corrosion of the angle steel member according to the comprehensive average corrosion rate; and randomly select the pit diameter of each pitting corrosion within a set range.

[0084] Specifically, step S5 includes:

[0085] Determine the uniform corrosion depth of angle steel members:

[0086]

[0087] Determine the pitting depth of angle steel members:

[0088]

[0089] Determine the number of random distributions for pitting corrosion:

[0090]

[0091]

[0092] in, Indicates uniform corrosion depth; It represents the comprehensive average corrosion rate; Indicates the operating time in years; Indicates that the pitting corrosion is deep; Indicates the number of random seeds of point corrosion; int() indicates the rounding down function; Indicates the effective surface area of ​​the angle steel member; Indicates the limb width of the angle steel member; Indicates the limb thickness of the angle steel member; The effective length of the angle steel member is the distance between the two end constraint nodes. The constraint nodes are the connection nodes at both ends of the angle steel member. In some cases, the effective length can also be approximated as the overall length of the angle steel member. It should be noted that the above calculation methods are summarized after principle analysis, a large amount of engineering data and experimental verification, and are not well known to those skilled in the art.

[0093] In a specific embodiment, based on engineering research experience, the pit diameter of the pitting corrosion is set in a range of 10 to 15 mm, and the pit diameter of each pitting corrosion can be approximately taken within the set range. Generally, the higher the atmospheric corrosivity level, the larger the pit diameter of the pitting corrosion.

[0094] S6. Randomly distribute corrosion damage on the initial model according to the determined uniform corrosion depth, pitting depth, random distribution number of pitting and pitting diameter to obtain a corrosion damage model.

[0095] Specifically, step S6 includes:

[0096] According to the principle of uniform corrosion, uniform corrosion is applied to the initial model, wherein the uniform corrosion area should at least cover the angle steel member in the width direction of the surface. In a specific embodiment, the uniform corrosion principle includes: calculating the uniform corrosion depth The corrosion depth as uniform corrosion appears randomly on the random limb surface of the angle steel component. The shape of the uniform corrosion is a rectangle, the width is the limb width of the corresponding limb surface of the angle steel component, and the length is rand (0, L); wherein the limb surface of the angle steel component includes a first outer surface, a second outer surface, a first inner surface, and a second inner surface. The widths of the first outer surface and the second outer surface are equal to the limb width of the angle steel component, and the widths of the first inner surface and the second inner surface are equal to the difference between the limb width and the limb thickness of the angle steel component; rand () represents a random function, that is, the length of the uniform corrosion is randomly selected between 0 and L. In general, the number of uniform corrosions on the same angle steel component is one. According to the above-mentioned principle of distribution, it can be obtained that the length of the uniform corrosion rectangle is rand (0, L), the width is B or Bt, and the depth is .

[0097] The pitting corrosion is distributed on the initial model according to the pitting corrosion distribution principle, wherein there is no overlap between any two pitting corrosions in the same plane. In a specific embodiment, the pitting corrosion distribution principle includes: using the calculated pitting corrosion pit depth and the number of random distributions of pitting corrosion As the depth and number of pitting corrosion distribution; the location of pitting corrosion appears randomly on the random limb surface of the angle steel; for any two pitting corrosions located on the same limb surface, a coordinate system is established based on the limb surface, and the center positions K1 and K2 of the two pitting corrosions must satisfy:

[0098]

[0099] Among them, (X1, Y1) is the coordinate of K1 in the coordinate system, (X2, Y2) is the coordinate of K2 in the coordinate system, K1 represents the pit diameter of the pitting corrosion. K2 represents the pit diameter of the pit corrosion, and max() represents the maximum value function. In addition, it should be noted that the outer boundary of each pit corrosion cannot exceed the limb surface where it is located. Based on this principle, a boundary constraint function relationship can be established, that is, the random distribution range of the pit corrosion is set.

[0100] Specifically, the random value selection method involved in the above-mentioned distribution principle can adopt random Boolean operation, the random distribution range of point corrosion and the non-interference between any two point corrosions can be achieved through the local coordinate system, and finally the geometric distribution of random corrosion damage is completed.

[0101] S7. According to the basic parameters of the angle steel component, the corrosion damage model is divided into hexahedron meshes, nonlinear material properties are defined and attached, and constrained load information is applied, and nonlinear analysis of random corrosion damage is performed, wherein the parameter quantity that changes with time is limited to the depth of corrosion, and then the stress performance of the corrosion damage of the angle steel component under different years is obtained. Among them, the stress performance of the corrosion damage of the angle steel component includes the stress, strain and deformation results of the angle steel component; hexahedron mesh division is a common means of nonlinear analysis of random corrosion damage; nonlinear material property definition and attachment refers to defining material properties in the corrosion damage model and assigning material properties to the component; the application of constrained load information is generally performed according to the constraint simulation of load information at both ends of the component.

[0102] Some other embodiments of the present invention provide a component random corrosion damage simulation and analysis system for digital power grid, which is applied to the method described in any of the above embodiments, such as Figure 2 As shown, the system includes: a basic parameter library, a modeling module, an atmospheric pollution environment library, a corrosion parameter calculation module, a random corrosion damage distribution module and a random corrosion damage nonlinear analysis module.

[0103] The basic parameter library is used to store the basic parameters of angle steel components, including the geographical location, geometric information, load information and service life of angle steel components.

[0104] The modeling module constructs an initial model based on the basic parameters of the angle steel component.

[0105] The atmospheric pollution environment library is used to automatically read the latest version of the atmospheric corrosivity level of the area where the power grid is located.

[0106] The corrosion parameter calculation module is connected to the basic parameter library and the atmospheric pollution environment library respectively, and is used to read the atmospheric pollution environment library according to the geographical location of the angle steel component, obtain the atmospheric corrosion grade of the area where the angle steel component is located, and then obtain the comprehensive average corrosion rate of the steel body layer of the angle steel component according to the atmospheric corrosion grade; and determine the corrosion parameters of the angle steel component according to the comprehensive average corrosion rate, and the corrosion parameters include: uniform corrosion depth, pit depth and random distribution number of pit corrosion, and randomly select each pit diameter of pit corrosion within a set range;

[0107] The random corrosion damage distribution module is connected to the corrosion parameter calculation module. According to the uniform corrosion distribution principle and the point corrosion distribution principle, the random Boolean operation and local coordinate system of the numerical analysis platform are called to perform geometric distribution of random corrosion damage on the initial model based on the corrosion parameters to obtain the corrosion model.

[0108] The random corrosion damage nonlinear analysis module performs hexahedral meshing, nonlinear material property definition and attachment, and constraint load information application on the corrosion model; calls the numerical analysis platform and adopts the geometric large deformation analysis method to carry out nonlinear analysis of random corrosion damage under time T. Within the full life cycle of the angle steel component, when the position of the random seeding is determined, the parameter quantity of the numerical analysis is limited to the depth of corrosion as the time changes, and the corrosion damage stress performance of the angle steel component under different years is obtained.

[0109] It is understandable that the above numerical analysis platform is an existing platform, which at least has the functions of random Boolean operation, local coordinate system and large geometric deformation analysis. At the same time, after the corrosion model is established, the analysis of the stress performance of corrosion damage based on the known corrosion depth, corrosion location, material properties of angle steel components and load information is also well known to those skilled in the art, and any of the existing methods can be used, which is not the improvement point of the present disclosure.

[0110] In some embodiments, the system further includes a display interface. The display interface uses at least one of a stress cloud map, a strain cloud map, and a deformation cloud map to display the analysis results of the corrosion damage stress performance of angle steel components at different ages, and uses different colors to distinguish them according to the degree to which their stress performance deviates from the allowable value of the specification.

[0111] exist Figure 2 In the illustrated embodiment, the display interface is illustrated as a GUI interface, which is used to display results to the owner or customer. The stress cloud map, strain cloud map and deformation cloud map can be displayed, so that the owner or customer can determine at a glance the impact of corrosion damage of the angle steel member on its stress performance at different times. The cloud map display logic is: when it reaches or exceeds the allowable value of the specification, it will be displayed in red. When it is lower than the allowable value of the specification, the values ​​are displayed from small to large as blue (≤50% of the allowable value of the specification), green (≤85% of the allowable value of the specification), and yellow (≤99% of the allowable value of the specification).

[0112] In some embodiments, the system is also equipped with a data output terminal. After receiving the result data stream transmitted by the GUI interface, the data output terminal will issue a final processing instruction according to the owner or customer's opinion. If the result data stream is "the force performance meets the requirements", it means that the owner does not need to process it, and the higher component can meet the bearing capacity requirements under this time state; if the result data stream is "the force performance does not meet the requirements and needs to be repaired and reinforced", the owner or customer needs to issue an instruction to the operation and maintenance and construction units to repair and reinforce the components, and promptly organize the operation and maintenance and construction units to formulate a joint and feasible repair and reinforcement plan for the corrosion defects of the components. The data output terminal finally provides a component random corrosion damage bearing capacity analysis report in the format of a .docx or .doc file for reference by the owner or customer, construction, and operation and maintenance units.

[0113] In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0114] Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A component random corrosion damage simulation analysis method applied to digital power grid, characterized in that: include: Obtaining basic parameters of the angle steel component, wherein the basic parameters include the geographical location, geometric information, load information and service life of the angle steel component; Establishing the initial model of the angle steel component according to the geometric information of the angle steel component; Obtain the atmospheric corrosivity level of the angle steel component's geographical location in real time; Determine the comprehensive average corrosion rate of the steel body layer of the angle steel component according to the atmospheric corrosivity level of the geographical location of the angle steel component; Determine the uniform corrosion depth, pit depth and random number of pitting corrosion of the angle steel member according to the comprehensive average corrosion rate; and randomly select the pit diameter of each pitting corrosion within a set range; Randomly distribute corrosion damage on the initial model according to the determined uniform corrosion depth, pitting depth, random distribution number of pitting and pitting diameter to obtain a corrosion damage model; According to the basic parameters of the angle steel component, the corrosion damage model is divided into hexahedron meshes, nonlinear material properties are defined and attached, and constraint load information is applied, and nonlinear analysis of random corrosion damage is performed, wherein the parameter quantity that changes with time is limited to the depth of corrosion, and then the corrosion damage stress performance of the angle steel component under different years is obtained; Wherein, the method of determining the uniform corrosion depth, pitting depth and random distribution number of pitting of the angle steel member according to the comprehensive average corrosion rate includes: Determine the uniform corrosion depth of angle steel members: Determine the pitting depth of angle steel members: Determine the number of random distributions for pitting corrosion: in, Indicates uniform corrosion depth; It represents the comprehensive average corrosion rate; Indicates the operating time in years; Indicates that the pitting corrosion is deep; Indicates the number of random seeds of point corrosion; int() indicates the rounding down function; Indicates the effective surface area of ​​the angle steel member; Indicates the limb width of the angle steel member; Indicates the limb thickness of the angle steel member; Indicates the effective length of the angle steel member, which is the distance between the restraining nodes at both ends; The step of performing random corrosion damage distribution on the initial model according to the determined uniform corrosion depth, pitting depth, random number of pitting distributions and pitting diameter to obtain the corrosion damage model comprises: Perform uniform corrosion on the initial model according to the uniform corrosion principle, wherein the uniform corrosion setting area should at least cover the angle steel member in the width direction of the surface; The pitting corrosion is distributed on the initial model according to the pitting corrosion distribution principle, wherein there is no range overlap between any two pitting corrosions in the same plane; Among them, random Boolean operations and local coordinate system are used to realize the geometric distribution of random corrosion damage.

2. The component random corrosion damage simulation analysis method applied to digital power grid according to claim 1 is characterized in that: The atmospheric corrosivity grades include C1 grade, C2 grade, C3 grade, C4 grade, C5 grade and CX grade divided according to ISO 9223 standard.

3. The component random corrosion damage simulation analysis method applied to digital power grid according to claim 2 is characterized in that: The method of determining the comprehensive average corrosion rate of the steel body layer of the angle steel component according to the atmospheric corrosivity level of the geographical location of the angle steel component comprises: When the atmospheric corrosivity level is C1, the comprehensive average corrosion rate is 0.3 μm / year; When the atmospheric corrosivity level is C2, the comprehensive average corrosion rate is 0.6 μm / year; When the atmospheric corrosivity level is C3, the comprehensive average corrosion rate is 12.0 μm / year; When the atmospheric corrosivity level is C4, the comprehensive average corrosion rate is 19.2 μm / year; When the atmospheric corrosivity level is C5, the comprehensive average corrosion rate is 47.9 μm / year; When the atmospheric corrosivity level is CX level, the comprehensive average corrosion rate is 167.7 μm / year.

4. The component random corrosion damage simulation analysis method applied to digital power grid according to claim 3 is characterized in that: The pit diameter of the pitting corrosion is set in the range of 10 to 15 mm.

5. The component random corrosion damage simulation analysis method applied to digital power grid according to claim 4 is characterized in that: The uniform corrosion distribution principle includes: calculating the uniform corrosion depth As the corrosion depth of uniform corrosion, it appears randomly on the random limb surface of the angle steel component. The shape of uniform corrosion is a rectangle, the width is the limb width of the corresponding limb surface of the angle steel component, and the length is rand (0, L); Among them, the limb surface of the angle steel component includes a first outer surface, a second outer surface, a first inner surface and a second inner surface, the width of the first outer surface and the second outer surface is equal to the limb width of the angle steel component, and the width of the first inner surface and the second inner surface is equal to the difference between the limb width and the limb thickness of the angle steel component; rand() represents a random function.

6. The component random corrosion damage simulation analysis method applied to digital power grid according to claim 5 is characterized in that: The pitting corrosion distribution principle includes: the calculated pitting corrosion pit depth and the number of random distributions of pitting corrosion As the depth and number of pitting corrosion distribution; the location of pitting corrosion appears randomly on the random limb surface of the angle steel; for any two pitting corrosions located on the same limb surface, a coordinate system is established based on the limb surface, and the center positions K1 and K2 of the two pitting corrosions must satisfy: Among them, (X1, Y1) is the coordinate of K1 in the coordinate system, (X2, Y2) is the coordinate of K2 in the coordinate system, is the pit diameter of pitting corrosion represented by K1, K2 represents the pit diameter of the pitting corrosion, and max() represents the maximum value function; Also, the outer boundary of pitting corrosion cannot extend beyond the limb surface.

7. A component random corrosion damage simulation and analysis system applied to digital power grid, characterized in that: Applied to the method according to any one of claims 1 to 6, the system comprises: A basic parameter library is used to store basic parameters of angle steel components, including the geographical location, geometric information, load information and service life of the angle steel components; Modeling module, which builds the initial model according to the basic parameters of the angle steel component; Atmospheric pollution environment library, used to automatically read the latest version of the atmospheric corrosivity level in the area where the power grid is located; The corrosion parameter calculation module is connected to the basic parameter library and the atmospheric pollution environment library respectively, and is used to read the atmospheric pollution environment library according to the geographical location of the angle steel component, obtain the atmospheric corrosion grade of the area where the angle steel component is located, and then obtain the comprehensive average corrosion rate of the steel body layer of the angle steel component according to the atmospheric corrosion grade; and determine the corrosion parameters of the angle steel component according to the comprehensive average corrosion rate, and the corrosion parameters include: uniform corrosion depth, pit depth and random number of pit corrosion, and randomly select each pit diameter of pit corrosion within a set range; The random corrosion damage distribution module is connected to the corrosion parameter calculation module, and according to the uniform corrosion distribution principle and the point corrosion distribution principle, the random Boolean operation and the local coordinate system of the numerical analysis platform are used to perform geometric distribution of random corrosion damage on the initial model based on the corrosion parameters to obtain the corrosion model; The module for nonlinear analysis of random corrosion damage performs hexahedral meshing, nonlinear material property definition and attachment, and constraint load information application on the corrosion model; the module calls the numerical analysis platform and adopts the geometric large deformation analysis method to carry out nonlinear analysis of random corrosion damage under time T. Within the full life cycle of the angle steel component, when the position of the random seeding is determined, the parameter quantity of the numerical analysis is limited to the depth of corrosion as the time changes, and the stress performance of the corrosion damage of the angle steel component under different years is obtained.

8. The component random corrosion damage simulation and analysis system applied to digital power grid according to claim 7 is characterized in that: Also includes: The display interface uses at least one of the stress cloud map, strain cloud map and deformation cloud map to display the analysis results of the corrosion damage stress performance of angle steel components under different years, and uses different colors to distinguish them according to the degree to which their stress performance deviates from the allowable value of the specification.

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