Corrosion simulation method of nickel-based 690 alloy

Abstract

The invention provides a corrosion simulation method for a nickel-based 690 alloy. The method comprises the following steps: performing an electrochemical test on a nickel-based 690 sample by using an electrochemical workstation, performing parameter calibration on a reaction coefficient and a diffusion coefficient in a near-field kinetic reaction diffusion corrosion model by using experimental data of a nickel-based 690 alloy, and establishing the near-field kinetic reaction diffusion corrosion model based on the calibrated parameters. Accurate simulation of the nickel-based 690 alloy corrosion evolution by the near-field dynamic reaction diffusion model can be realized, so that information such as current density, corrosion rate and corrosion depth evolution can be obtained, and the corrosion process can be simulated and predicted.

Description

Technical Field

[0001] This patent relates to the field of metal corrosion simulation technology, and specifically to a corrosion simulation method for nickel-based 690 alloy. Background Art

[0002] Nickel-based 690 alloy is a candidate material for the heat transfer tube of the steam generator of a pressurized water reactor nuclear power plant. Its corrosion resistance is of great significance to the safe and stable operation of the nuclear power plant. Developing a corrosion simulation method for nickel-based 690 alloy structural materials and accurately simulating and predicting its corrosion evolution process will effectively reduce the cost of maintaining the stable operation of nuclear power plants. Most of the current corrosion simulation models focus on describing the interface evolution process of a single or a few corrosion points. These classical models are usually based on diffusion theory and electrochemical reaction kinetics, and are used to predict the geometric evolution of corrosion points and the concentration distribution evolution of ions in the solution. However, these models and simulation methods require a clear corrosion front movement rate to be set in advance. In addition, there is currently no corrosion simulation method specifically for nickel-based 690 alloy. Although other general metal simulation methods can be used to perform computational simulation of 690 alloy, considering the unique excellent corrosion resistance of 690 alloy and the different corrosion products that cause the ion diffusion near the corrosion front to be different from other metals, it is necessary to develop a corrosion simulation method specifically for nickel-based 690 alloy, which includes experimental calibration of model parameters and simulation calculation simulation. Summary of the invention

[0003] The purpose of the present invention is to provide a method for simulating the corrosion of nickel-based alloy 690. Electrochemical tests are performed on nickel-based alloy 690 samples using an electrochemical workstation, and the reaction coefficient and diffusion coefficient in the peridynamic reaction-diffusion corrosion model are calibrated using the experimental data of the nickel-based alloy 690. The peridynamic reaction-diffusion corrosion model is established based on the calibrated parameters, so that the peridynamic reaction-diffusion model can accurately simulate the corrosion evolution of the nickel-based alloy 690, thereby obtaining information such as current density, corrosion rate, and corrosion depth evolution, and simulating and predicting the corrosion process.

[0004] The technical solution of the present invention is as follows: A corrosion simulation method for a nickel-based 690 alloy comprises: a step of encapsulating a nickel-based 690 alloy wire sample; a step of performing an electrochemical test on the nickel-based 690 alloy wire sample;

[0005] The electrochemical test comprises the steps of: connecting two single-hole electrolytic cells and pouring electrolyte into them; placing a nickel-based 690 alloy wire sample, a counter electrode and a reference electrode for testing;

[0006] The test consists of the following steps:

[0007] Step 1: Calculate the effective diffusion coefficient D of the metal ions of nickel-based 690 alloy in the electrolyte. The steps are as follows:

[0008] Step 1.1: According to Faraday's second law (i a =nC solid Fv(t), find the current density i corresponding to each instant a The corresponding corrosion depth change rate v(t);

[0009] Where n is the average charge carried by the metal ion;

[0010] C solid is the maximum concentration of solid metal atoms;

[0011] F is the Faraday constant;

[0012] Step 1.2: Integrate the corrosion depth change rate v(t) over time to obtain the corrosion depth u pit (t) evolutionary laws;

[0013] Step 1.3: Select the current time of 55000s for the corrosion test of the nickel-based 690 alloy wire sample, and obtain the corrosion depth change rate v(55000) at the corresponding time;

[0014] Step 1.4: According to the corrosion depth change rate v(55000), the change rate of the metal ion concentration of nickel-based 690 alloy in the solution with time is obtained, that is,

[0015] Where σ is the thickness of the interface corrosion reaction layer,

[0016] is the metal ion concentration of nickel-based 690 alloy in the solution;

[0017] C solid is the maximum concentration of solid metal atoms;

[0018] Step 1.5: According to the corrosion depth u of the nickel-based 690 alloy wire sample at 55000s pit (55000), and the corresponding concentration gradient is obtained Calculate the metal ion concentration in the electrolyte at that time The distribution of C sat is the saturation concentration of metal ions in the electrolyte;

[0019] Step 1.6: Based on the diffusion formula After integration, we get Wherein, time t = 55000s, so as to obtain the effective diffusion coefficient D of metal ions in the electrolyte of nickel-based 690 alloy;

[0020] Step 2: Calculate the reaction coefficient R(x,t) corresponding to any potential of nickel-based 690 alloy. The steps are as follows:

[0021] Step 2.1: Select the reaction control mode in the peridynamic reaction-diffusion corrosion model, i.e.

[0022]

[0023]

[0024] In this mode, the interface corrosion reaction coefficient R(x,t) is calibrated;

[0025] Step 2.2: Select an arbitrary value R1 as the reaction parameter, substitute the test parameter into (1) and (2) for calculation, obtain a linear corrosion depth evolution curve, and determine the corrosion depth change rate v1 based on the slope of the curve;

[0026] Step 2.3: Substitute v1 into the formula of Faraday's second law and calculate the corresponding current density i1 = nC solid Fv1; thus, R1=ki1, and constant k is obtained. Since the current density i is proportional to the reaction coefficient R, the reaction coefficient R=ki corresponding to any potential of nickel-based 690 alloy; and then for any potential, the reaction term R(x,t) of nickel-based 690 alloy under any potential can be calculated according to step 2.3;

[0027] Step 3: Import the geometry and basic material properties of the nickel-based 690 alloy into the peridynamic reaction-diffusion corrosion model

[0028] Step 4: Substitute the effective diffusion coefficient D of the metal ions of the nickel-based 690 alloy in the electrolyte obtained in step 1 and the reaction term R(x, t) of the nickel-based 690 alloy at any potential obtained in step 2 into the peridynamic reaction-diffusion corrosion model:

[0029]

[0030]

[0031] in: is the evolution function of the metal ion concentration distribution in the electrolyte;

[0032] C M (x, t) is the concentration distribution evolution function of solid metal atoms;

[0033] d(x,t) is the peridynamic microdiffusion coefficient;

[0034] H x is the near field domain and is the integration range of the model

[0035] V x′ is node x ′ At the near field H of node x x The volume inside.

[0036] The step of potting the nickel-based 690 alloy wire sample comprises:

[0037] S1: Mix epoxy resin AB glue, stir and put into vacuum instrument to evacuate and eliminate bubbles;

[0038] S2: Fix the nickel-based 690 alloy wire sample cleaned with anhydrous ethanol vertically in the cold mounting sleeve, and drip the mixed AB glue obtained in S1 into the cold mounting sleeve;

[0039] S3: Remove the sample from the mold and use sandpaper to smooth the bottom surface of the sample.

[0040] In the S1, after stirring, the mixture was placed in a vacuum apparatus and evacuated for 30 minutes.

[0041] In the S2, solidification takes 48 hours.

[0042] In the step 1.1, the Faraday constant is 96485 C / mol.

[0043] In step 1.1, n, C solid All are determined according to the metal element composition of nickel-based 690 alloy.

[0044] In step 1.5, C sat Obtained based on the solubility of metal ions in the electrolyte.

[0045] In step 2.2, the value range of R1 is 100-5000 mol / (m 3 ·s).

[0046] In step 3, the geometric parameters and basic material properties of the nickel-based 690 alloy are introduced, including the calculation domain size L, the grid spacing Δx, the near-field radius δ, the saturation concentration C of the metal ions of the nickel-based 690 alloy in the electrolyte sat and the maximum concentration of solid metal atoms C solid .

[0047] In step 4, the peridynamic microdiffusion coefficient d(x, t) is obtained by the effective diffusion coefficient D.

[0048]

[0049] The remarkable effect of the present invention is that: electrochemical tests are carried out on metal materials with unique excellent corrosion resistance such as 690 alloy, and the parameters of the near-field dynamic reaction-diffusion corrosion model are calibrated; after the geometric parameters and basic material parameters are introduced into the model, the concentration distribution evolution of metal ions and solid metal atoms, the corrosion rate, the corrosion depth evolution, the current density at any time and other information can be naturally calculated, providing a simple and effective prediction tool for corrosion prediction of 690 alloy. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a flow chart of the effective reaction coefficient and the effective diffusion coefficient in the near-field dynamic reaction-diffusion corrosion model based on the nickel-based 690 alloy experiment in the example of the present invention.

[0051] Figure 2 It is the anodic polarization curve data of nickel-based 690 alloy measured in the example of the present invention.

[0052] Figure 3 It is the constant potential corrosion current density curve used to calibrate the diffusion coefficient.

[0053] Figure 4 Comparison of the calibrated peridynamic reaction-diffusion corrosion model calculation results with the current density of the constant potential corrosion test.

[0054] Figure 5 The corrosion depth of the calibrated peridynamic reaction diffusion corrosion model is compared with the corrosion depth of the constant potential corrosion test. DETAILED DESCRIPTION

[0055] Many specific details are described in the following description to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific implementation disclosed below.

[0056] The terms used in one or more embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of the present application. The singular forms of "a", "said" and "the" used in one or more embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of the present application refers to and includes any or all possible combinations of one or more associated listed items.

[0057] It should be understood that, although the terms first, second, etc. may be used to describe various information in one or more embodiments of the present application, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0058] In view of the problems existing in the prior art, the present invention provides a method for simulating the corrosion of nickel-based alloy 690. An electrochemical workstation is used to perform electrochemical testing on a nickel-based alloy 690 sample, and the experimental data of the nickel-based alloy 690 are used to calibrate the parameters of the reaction coefficient and the diffusion coefficient in the peridynamic reaction-diffusion corrosion model. The peridynamic reaction-diffusion corrosion model is established based on the calibrated parameters, and the peridynamic reaction-diffusion corrosion model can be used to accurately simulate the corrosion evolution of the nickel-based alloy 690, so that information such as current density, corrosion rate, and corrosion depth evolution can be obtained, and the corrosion process can be simulated and predicted.

[0059] A method for simulating corrosion of a nickel-based 690 alloy, wherein the corrosion simulation is used to predict the corrosion evolution process of the nickel-based 690 alloy, wherein a nickel-based 690 alloy wire sample is prepared to simulate a one-dimensional uniform corrosion environment, and an electrochemical workstation is used to perform an electrochemical test on the nickel-based 690 alloy, and a polarization curve and a current-time curve thereof in an electrolytic cell solution are obtained, and the polarization curve data are linearly fitted to obtain the slope of the linear phase of the Tafel curve and the intercept of the current density, and the obtained slope and intercept are substituted into a near-field dynamics reaction-diffusion corrosion model to calibrate the reaction coefficient and the diffusion coefficient. The wire sample is potted with a transparent epoxy resin to facilitate the observation of the corrosion interface morphology and the measurement of the corrosion depth, and the bottom surface of the sample is smoothed with sandpaper up to 1000 mesh to ensure uniform corrosion.

[0060] A method for simulating corrosion of a nickel-based 690 alloy comprises the following steps:

[0061] S1: potting treatment of nickel-based 690 alloy wire samples;

[0062] S1.1: Mix epoxy resin AB glue, stir and put into vacuum apparatus to evacuate for 30 minutes to eliminate bubbles;

[0063] S1.2: Fix the nickel-based 690 alloy wire sample cleaned with anhydrous ethanol vertically in a cold mounting sleeve, drip the mixed AB glue obtained in step 1 into the cold mounting sleeve, and solidify for 48 hours;

[0064] S1.3: Remove the sample from the mold and use sandpaper with a mesh of up to 2000 to smooth the bottom surface of the sample to ensure uniform corrosion.

[0065] S2: Electrochemical testing of nickel-based 690 alloy wire samples; the test steps are as follows:

[0066] S2.1: Connect two single-hole electrolytic cells and pour electrolyte (sodium chloride with different concentrations) into them.

[0067] S2.2: Place the nickel-based 690 alloy wire sample, counter electrode and reference electrode into the opening of the electrolytic cell cover. Use wires to connect the counter electrode and reference electrode to the electrochemical workstation for electrochemical testing. The polarization curve test derives the polarization curve data ( Figure 2 ), corrosion test derives current evolution data ( Figure 3 ).

[0068] S3: After the experiment, take out the nickel-based 690 alloy wire sample and dilute the waste liquid before discharging it.

[0069] S4: Observe the corroded sample with a microscope, observe the corrosion morphology, process the measurement data, and draw the corrosion depth evolution curve ( Figure 5 ).

[0070] The electrochemical test includes measuring the polarization curve of the nickel-based 690 alloy using a static method and corroding the nickel-based 690 alloy using a constant potential method. Specifically, the following steps are included:

[0071] Step 1: Calculate the effective diffusion coefficient D of the metal ions of nickel-based 690 alloy in the electrolyte. The steps are as follows:

[0072] Step 1.1: According to Faraday's second law (i a =nC solid Fv(t), find the current density i corresponding to each instant a The corresponding corrosion depth change rate v(t); Figure 4 Shown

[0073] Where n is the average charge carried by the metal ion, C solid It is the maximum concentration of solid metal atoms, which is determined according to the metal element composition of nickel-based 690 alloy.

[0074] F is the Faraday constant, which is 96485C / mol),

[0075] Step 1.2: Integrate the corrosion depth change rate v(t) over time to obtain the experimental corrosion depth u pit (t) Evolutionary laws, such as Figure 5 As shown;

[0076] Step 1.3: Select the data of the stable phase of the current-time curve of the corrosion test of the nickel-based 690 alloy wire sample, for example, 55000s, and obtain the corrosion depth change rate v(55000) at the corresponding moment;

[0077] Step 1.4: According to the corrosion depth change rate v(55000), the change rate of the metal ion concentration of nickel-based 690 alloy in the solution with time is obtained, that is, 55000s is basically stable, so it is a constant

[0078] Where δ is the thickness of the interface corrosion reaction layer in the reaction diffusion model,

[0079] is the metal ion concentration of nickel-based 690 alloy in the solution;

[0080] C solid is the maximum concentration of solid metal atoms;

[0081] Step 1.5: According to the corrosion depth u of the nickel-based 690 alloy wire sample at 55000s pit (55000), and the corresponding concentration gradient is obtained Calculate the metal ion concentration in the electrolyte at that time The distribution of C sat It is the saturation concentration of metal ions in the electrolyte, which is obtained based on the solubility of metal ions in the electrolyte;

[0082] Step 1.6: Based on the diffusion formula After integration, we get Wherein, time t = 55000s, so as to obtain the effective diffusion coefficient D of metal ions in the electrolyte of nickel-based 690 alloy;

[0083] Step 2: Calculate the reaction coefficient R(x,t) corresponding to any potential of nickel-based 690 alloy. The steps are as follows:

[0084] Step 2.1: Select the reaction control mode in the peridynamic reaction-diffusion corrosion model, i.e.

[0085]

[0086]

[0087] In this mode, the interface corrosion reaction coefficient R(x,t) is calibrated;

[0088] Step 2.2: Select an arbitrary value R1 as the reaction parameter, substitute the test parameter into (1) and (2) for calculation, and obtain a linear corrosion depth evolution curve. According to the slope of the curve, the corrosion depth change rate v1 is obtained;

[0089] In the embodiment, R1 can be freely selected, for example, 1000 mol / (m 3·s), but due to the problem of calculation accuracy, it is not advisable to select a value that is too large or too small. It is recommended to select a range of 100-5000 mol / (m 3 ·s).

[0090] Step 2.3: Substitute v1 into the formula of Faraday's second law and calculate the corresponding current density i1 = nC solid Fv1; thus, R1=ki1, and constant k is obtained. Since the current density i is proportional to the reaction coefficient R, the reaction coefficient R=ki corresponding to any potential of nickel-based 690 alloy;

[0091] Then, for any potential, the reaction term R(x,t) of nickel-based 690 alloy at any potential can be calculated according to step 2.3;

[0092] Step 3: In the peridynamic reaction-diffusion corrosion model, the geometric parameters and basic material properties of the nickel-based 690 alloy are imported, including the computational domain size L of the model, the grid spacing Δx, the near-field radius δ, and the saturation concentration C of the metal ions of the nickel-based 690 alloy in the electrolyte. sat and the maximum concentration of solid metal atoms C solid ;

[0093] Step 4: Substitute the effective diffusion coefficient D of the metal ions of the nickel-based 690 alloy in the electrolyte obtained in step 1 and the reaction term R(x, t) of the nickel-based 690 alloy at any potential obtained in step 2 into the peridynamic reaction-diffusion corrosion model:

[0094]

[0095]

[0096] in: is the evolution function of the metal ion concentration distribution in the electrolyte;

[0097] C M (x, t) is the concentration distribution evolution function of solid metal atoms;

[0098] d(x,t) is the peridynamic microdiffusion coefficient, which can be obtained from the effective diffusion coefficient D,

[0099]

[0100] H x is the near field domain and is the integration range of the model

[0101] V x′ is node x ′ At the near field H of node x x The volume inside (one dimension is length, two dimensions are area).

[0102] Finally, a peridynamic reaction-diffusion corrosion model of nickel-based 690 alloy was obtained. The model contains an autonomous phase change mechanism. After inputting the parameters of steps 3-4 above, the concentration distribution evolution of metal ions and solid metal atoms and the evolution of corrosion depth can be naturally calculated.

[0103] The above calibration method can be used to quantitatively and effectively obtain the characteristic parameters of nickel-based 690 alloy in the peridynamic reaction-diffusion corrosion model. Substituting the calibrated effective diffusion coefficient D and reaction coefficient into the peridynamic reaction-diffusion corrosion model, setting the corresponding physical field and boundary conditions and performing simulation calculations, the current density, corrosion rate, corrosion depth evolution and other results can be obtained.

[0104] The above description is only a preferred embodiment of this patent and is not intended to limit this patent. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this patent should be included in the scope of protection of this patent.

[0105] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0106] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0107] The preferred embodiments of the present application disclosed above are only used to help explain the present application. The optional embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of the present application. The present application selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can understand and use the present application well.

Claims

1. A corrosion simulation method for nickel-based 690 alloy, characterized in that: include: The steps of potting the nickel-based 690 alloy wire sample; The step of electrochemically testing the nickel-based 690 alloy wire sample comprises: connecting two single-hole electrolytic cells and pouring electrolyte into them; placing the nickel-based 690 alloy wire sample, the counter electrode and the reference electrode for testing, and the test comprises the following steps: Step 1: Calculate the effective diffusion coefficient D of the metal ions of nickel-based 690 alloy in the electrolyte. The steps are as follows: Step 1.1: According to Faraday's second law (i a =nC solid Fv(t), find the current density i corresponding to each instant a The corresponding corrosion depth change rate v(t); Where n is the average charge carried by the metal ion; C solid is the maximum concentration of solid metal atoms; F is the Faraday constant; Step 1.2: Integrate the corrosion depth change rate v(t) over time to obtain the corrosion depth u pit (t) evolutionary laws; Step 1.3: Select the current time of 55000s for the corrosion test of the nickel-based 690 alloy wire sample, and obtain the corrosion depth change rate v(55000) at the corresponding time; Step 1.4: According to the corrosion depth change rate v(55000), the change rate of the metal ion concentration of nickel-based 690 alloy in the solution with time is obtained, that is, Where δ is the thickness of the interface corrosion reaction layer, is the metal ion concentration of nickel-based 690 alloy in the solution; C solid is the maximum concentration of solid metal atoms; Step 1.5: According to the corrosion depth u of the nickel-based 690 alloy wire sample at 55000s pit (55000), and the corresponding concentration gradient is obtained Calculate the metal ion concentration in the electrolyte at that time The distribution of C sat is the saturation concentration of metal ions in the electrolyte; Step 1.6: Based on the diffusion formula After integration, we get Wherein, time t = 55000s, so as to obtain the effective diffusion coefficient D of metal ions in the electrolyte of nickel-based 690 alloy; Step 2: Calculate the reaction coefficient R(x, t) corresponding to any potential of nickel-based 690 alloy. The steps are as follows: Step 2.1: Select the reaction control mode in the peridynamic reaction-diffusion corrosion model, i.e. In this mode, the interface corrosion reaction coefficient R(x, t) is calibrated; Step 2.2: Select an arbitrary value R1 as the reaction parameter, substitute the test parameter into (1) and (2) for calculation, obtain a linear corrosion depth evolution curve, and determine the corrosion depth change rate v1 based on the slope of the curve; Step 2.3: Substitute v1 into the formula of Faraday's second law and calculate the corresponding current density i1 = nC solid Fv1; thus, R1=ki1 is obtained, and the constant k is obtained. Since the current density i is proportional to the reaction coefficient R, the reaction coefficient R=ki corresponding to any potential of the nickel-based 690 alloy; and then for any potential, the reaction term R(x, t) of the nickel-based 690 alloy at any potential can be calculated according to step 2.3; Step 3: Import the geometric parameters and basic material properties of nickel-based 690 alloy into the peridynamic reaction-diffusion corrosion model; Step 4: Substitute the effective diffusion coefficient D of the metal ions of the nickel-based 690 alloy in the electrolyte obtained in step 1 and the reaction term R(x, t) of the nickel-based 690 alloy at any potential obtained in step 2 into the peridynamic reaction-diffusion corrosion model: in: is the evolution function of the metal ion concentration distribution in the electrolyte; C M (x, t) is the concentration distribution evolution function of solid metal atoms; d(x, t) is the peridynamic microdiffusion coefficient; H x is the near field domain, which is the integration range of the model; V x′ is the near field H of node x′ at node x x The volume inside.

2. The corrosion simulation method of a nickel-based 690 alloy according to claim 1, characterized in that: The step of potting the nickel-based 690 alloy wire sample comprises: S1: Mix epoxy resin AB glue, stir and put into vacuum instrument to evacuate and eliminate bubbles; S2: Fix the nickel-based 690 alloy wire sample cleaned with anhydrous ethanol vertically in the cold mounting sleeve, and drip the mixed AB glue obtained in S1 into the cold mounting sleeve; S3: Remove the sample from the mold and use sandpaper to smooth the bottom surface of the sample.

3. The corrosion simulation method of a nickel-based 690 alloy according to claim 1, characterized in that: In the S1, after stirring, the mixture was placed in a vacuum apparatus and evacuated for 30 minutes.

4. The corrosion simulation method of a nickel-based 690 alloy according to claim 1, characterized in that: In the S2, solidification takes 48 hours.

5. The corrosion simulation method of a nickel-based 690 alloy according to claim 1, characterized in that: In the step 1.1, the Faraday constant is 96485 C / mol.

6. The corrosion simulation method of a nickel-based 690 alloy according to claim 1, characterized in that: In step 1.1, n, C solid All are determined according to the metal element composition of nickel-based 690 alloy.

7. The corrosion simulation method of nickel-based 690 alloy according to claim 1, characterized in that: In step 1.5, C sat Obtained based on the solubility of metal ions in the electrolyte.

8. The corrosion simulation method of nickel-based 690 alloy according to claim 1, characterized in that: In step 2.2, the value range of R1 is 100-5000 mol / (m 3 ·s).

9. The corrosion simulation method of nickel-based 690 alloy according to claim 1, characterized in that: In step 3, the geometric parameters and basic material properties of the nickel-based 690 alloy are introduced, including the calculation domain size L, the grid spacing Δx, the near-field radius δ, the saturation concentration C of the metal ions of the nickel-based 690 alloy in the electrolyte sat and the maximum concentration of solid metal atoms C solid .

10. The corrosion simulation method of nickel-based 690 alloy according to claim 1, characterized in that: In step 4, the peridynamic microdiffusion coefficient d(x, t) is obtained by the effective diffusion coefficient D,

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