CN-122024910-A - Method for predicting deposition growth of corrosion product, storage medium, and electronic device

CN122024910ACN 122024910 ACN122024910 ACN 122024910ACN-122024910-A

Abstract

The invention relates to the technical field of reactors, in particular to a method for predicting deposition growth of corrosion products, a storage medium and electronic equipment. The method for predicting the deposition growth of the corrosion product comprises the steps of establishing a three-dimensional model, meshing the three-dimensional model to obtain a mesh model, obtaining thickness increment of the corrosion product, converting the thickness increment of the corrosion product on a mesh unit surface into a node movement amount by using a node movement algorithm, driving a mesh node to displace according to the calculated node movement amount in each time step based on a movable mesh technology, obtaining an updated mesh model, solving deposition rate and erosion rate of the corrosion product on the updated mesh model, and obtaining the thickness increment of the updated corrosion product. The application of the invention can improve the safety of the reactor and has important value for protecting the integrity of the fuel rod, preventing radioactive substances from leaking out and ensuring the safe operation of the reactor.

Inventors

LIU XIAOJING
YANG GUANGCHAO
ZHOU XINZHONG
HE HUI
ZHANG TENGFEI

Assignees

上海交通大学

Dates

Publication Date: 20260512
Application Date: 20260415

Claims (10)

1. A method for predicting deposition growth of corrosion products, the method comprising: establishing a three-dimensional model of a target study object, and carrying out grid division on the three-dimensional model to obtain a grid model, wherein the grid model comprises a plurality of grid units; Setting input conditions of a three-dimensional model, calculating to obtain the deposition rate and the erosion rate of the corrosion product, and obtaining the thickness increment of the corrosion product according to the deposition rate and the erosion rate of the corrosion product; Converting the thickness increment of the corrosion product on the grid cell surface into a node movement amount by using a node movement algorithm, and driving grid nodes to displace according to the calculated node movement amount in each time step based on a dynamic grid technology; Judging whether the grid repartitioning condition is met, and if so, adopting a grid repartitioning algorithm to dynamically adjust grids of other areas to obtain an updated grid model; And solving the deposition rate and the erosion rate of the corrosion product on the updated grid model, and obtaining the thickness increment of the updated corrosion product until the target requirement is met, and outputting the three-dimensional morphology and related characteristic parameters of the corrosion product.
2. The method of claim 1, wherein the creating a three-dimensional model of the target object of study comprises: Taking a pressurized water reactor fuel rod with corrosion products on the surface as a target research object, and establishing a three-dimensional model, wherein the three-dimensional model comprises a subchannel fluid domain and an initial corrosion product solid domain, and the initial corrosion product solid domain comprises a corrosion product solid seed layer with preset thickness, wherein the corrosion product solid seed layer is arranged on the surface of a fuel rod cladding; the meshing of the three-dimensional model includes meshing the subchannel fluid domain and the initial corrosion product solid domain.
3. The method for predicting deposition growth of corrosion products according to claim 1, wherein a flow field and a temperature field are solved according to the input conditions, and a deposition rate and an erosion rate of the corrosion products are calculated according to the obtained flow field and temperature field; wherein the input conditions include physical parameters including density, thermal conductivity, specific heat capacity, dynamic viscosity, latent heat of phase change, and density of corrosion products of the coolant fluid, and boundary conditions including velocity, temperature, and void fraction of the coolant fluid inlet, boundary type of the coolant channel, and pressure of the coolant fluid outlet.
4. The method of predicting corrosion product deposit growth according to claim 1, wherein the grid model includes a corrosion product initial base, grid nodes of the corrosion product initial base include a first type of grid nodes, a second type of grid nodes, and a third type of grid nodes, the first type of grid nodes include corner nodes, the second type of grid nodes include edge nodes, the third type of grid nodes include a center node, and node movement amounts of the grid nodes of the respective types are calculated differently.
5. The method according to claim 4, wherein the node movement amount of the first type of grid node is calculated from the surface deposition thickness increment of the belonging grid cell; The node movement amount of the second type grid node is calculated according to the arithmetic average value of the deposition thickness increment of the two adjacent grid cell surfaces; And the node movement amount of the third type of grid nodes is calculated according to the arithmetic average value of the deposition thickness increment of the adjacent four grid cell faces.
6. The method for predicting the deposition growth of corrosion products according to claim 1, wherein the grid node of the grid cells of the plurality of layers is determined based on a size relation between a total movement height predicted by the grid node to be moved and an inter-layer grid height monitored each time the grid node is moved during the grid repartitioning using the grid repartitioning algorithm.
7. The method according to any one of claims 1 to 6, wherein in the step of obtaining the updated thickness increase of the corrosion product, the updated thickness increase of the corrosion product is obtained, and whether the simulation reaches a preset time or thickness target is determined; if the target requirement is not met, repeatedly executing the related step of acquiring the thickness increment of the updated corrosion product until the preset requirement is met; if the target requirement is met, directly outputting the three-dimensional morphology and related characteristic parameters of the corrosion product.
8. The method of predicting corrosion product deposit growth according to any one of claims 1 to 6, wherein the relevant characteristic parameters include fuel rod cladding temperature distribution and subchannel flow field parameters.
9. A storage medium having stored thereon computer instructions which, when invoked by a processor, perform the method of predicting corrosion product deposit growth of any one of claims 1 to 8.
10. An electronic device, comprising: A processor; a memory storing computer instructions; Wherein the processor is configured to invoke the computer instructions to perform the method of predicting corrosion product deposit growth of any one of claims 1 to 8.

Description

Method for predicting deposition growth of corrosion product, storage medium, and electronic device Technical Field The invention belongs to the technical field of reactors, and particularly relates to a corrosion product deposition growth prediction method, a storage medium and electronic equipment. Background CRUD (CHALK RIVER Unidentified Deposit, corrosion product deposit) deposition on the cladding surface of the pressurized water reactor core fuel rods is one of the core problems that threatens the safe operation of the reactor in a pressurized water reactor-loop coolant environment. For example, CRUD layer thickening can significantly increase the thermal resistance between the fuel jacket and the coolant, resulting in localized jacket temperature increases, potentially inducing CRUD-induced localized corrosion (CILC) and power migration (CIPS). Meanwhile, boric acid is adsorbed by the porous structure of the CRUD, so that the local distribution distortion of soluble boron in the coolant is caused, and the abnormal nuclear fuel power distribution is further aggravated. In the related art, CRUD growth prediction mainly relies on a uniform deposition rate empirical model fitted based on experimental data, and it is difficult to reflect non-uniform deposition under a complex flow field. Meanwhile, the existing corrosion product growth prediction model generally uses a fixed grid model, a deposition layer is simplified into a certain fixed geometric shape, the dynamic encroaching effect of the deposition layer growth on a fluid domain cannot be described, the calculation accuracy of a near-wall flow field, heat flux and material diffusion is seriously influenced, and the calculation result is distorted. Disclosure of Invention The invention aims to provide a corrosion product deposition growth prediction method, a storage medium and electronic equipment, which not only can reflect the dynamic change of CRUD in the running process of a pressurized water reactor in real time, but also can provide important technical support for further optimizing a nuclear reactor numerical prediction method. In order to solve the technical problems, the application is realized as follows: according to one aspect of the present application, there is provided a method of predicting deposition growth of corrosion products, the method comprising: establishing a three-dimensional model of a target study object, and carrying out grid division on the three-dimensional model to obtain a grid model, wherein the grid model comprises a plurality of grid units; Setting input conditions of a three-dimensional model, calculating to obtain the deposition rate and the erosion rate of the corrosion product, and obtaining the thickness increment of the corrosion product according to the deposition rate and the erosion rate of the corrosion product; Converting the thickness increment of the corrosion product on the grid cell surface into a node movement amount by using a node movement algorithm, and driving grid nodes to displace according to the calculated node movement amount in each time step based on a dynamic grid technology; Judging whether the grid repartitioning condition is met, and if so, adopting a grid repartitioning algorithm to dynamically adjust grids of other areas to obtain an updated grid model; And solving the deposition rate and the erosion rate of the corrosion product on the updated grid model, and obtaining the thickness increment of the updated corrosion product until the target requirement is met, and outputting the three-dimensional morphology and related characteristic parameters of the corrosion product. In some alternative embodiments, the creating the three-dimensional model of the target subject includes: Taking a pressurized water reactor fuel rod with corrosion products on the surface as a target research object, and establishing a three-dimensional model, wherein the three-dimensional model comprises a subchannel fluid domain and an initial corrosion product solid domain, and the initial corrosion product solid domain comprises a corrosion product solid seed layer with preset thickness, wherein the corrosion product solid seed layer is arranged on the surface of a fuel rod cladding; the meshing of the three-dimensional model includes meshing the subchannel fluid domain and the initial corrosion product solid domain. In some alternative embodiments, the flow field and the temperature field are solved according to the input conditions, and the deposition rate and the erosion rate of the corrosion product are calculated according to the obtained flow field and temperature field; wherein the input conditions include physical parameters including density, thermal conductivity, specific heat capacity, dynamic viscosity, latent heat of phase change, and density of corrosion products of the coolant fluid, and boundary conditions including velocity, temperature, and void fraction of the coolant fluid inlet, boundary