CN108932367B - Grid mapping and data transfer method for multi-physical field coupling calculation - Google Patents
Grid mapping and data transfer method for multi-physical field coupling calculation Download PDFInfo
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Abstract
The invention provides a grid mapping and data transfer method for multi-physical field coupling calculation. Mainly comprises the following three parts: (1) Establishing a simulation grid group of a reactor core physical field refinement program; (2) Grid mapping among different physical field programs of the reactor core is realized; (3) And data calculation in the grid group and data transmission among the mapping grids are realized. The invention can provide technical support for the coupling calculation analysis of different physical field programs with differences in grid size, shape, quantity and arrangement, and realize the multi-physical field high-fidelity coupling calculation analysis.
Description
Technical Field
The invention relates to a nuclear power station simulation method, in particular to a grid mapping and data transmission method among mapping grids in coupling calculation of a thermal hydraulic program and a neutron physical program of a nuclear power station reactor core.
Background
The safety and economy of a nuclear power plant are affected by the level of technology for predicting the thermodynamic and hydraulic states of the nuclear reactor core. Core thermohydraulic studies typically give a heat source that is similar to the actual distribution. However, the neutron physics of the reactor core has strong interaction with the thermodynamic and hydraulic processes, namely, the power generated by the former influences the fuel temperature, the coolant temperature and the coolant density corresponding to the former, and the parameters feedback influences the fission section corresponding to the former, thereby influencing the power.
The coupling calculation of the refined reactor core physics and the refined thermodynamic and hydraulic program can simulate two mutually-fed-back physical processes on a fine spatial scale, and heat release, heat transfer and flow of the reactor core can be predicted more accurately. The simulation is beneficial to reducing the safety margin, supporting the power improvement and the fuel cycle extension of the power station, ensuring the safety of the power station and improving the economical efficiency of the power station. However, due to the characteristics of respective physical and mathematical models, the refinement procedures have great differences in the size, shape, quantity and arrangement modes of grids, which is not beneficial to grid mapping and data transmission among procedures.
Disclosure of Invention
The invention aims to provide a grid mapping and data transmission method for multi-physical field coupling calculation, which can improve the prediction accuracy of the reactor core state.
The purpose of the invention is realized in the following way:
The grid mapping and data transmission method for the multi-physical field coupling calculation comprises the following steps of:
Step 1: establishing an index number IndexB_i for each grid of the physical field B program;
step 2: taking the grid boundary of the physical field B program as a coupling simulation grid mapping limit, and partitioning the grid of the physical field A program;
Step 3: dividing all grids in the same partition of the physical field A program into the same grid group, dividing the grids into grid groups corresponding to the partition where the grid center is located for grids which are located in a plurality of partitions near the boundary of the partition, and then establishing an index number IndexA_i for each grid group of the physical field A program;
Step 4: according to the space position, mapping each physical field B program grid with a physical field A program grid group, completing the correspondence of the index numbers of the two programs, so that the grid of one physical field A program is mapped with the grid of one physical field B program only and the grid of one physical field B program is mapped with the grid group of one physical field A program only;
Step 5: in the coupling simulation, a physical field A program transmits a parameter psi to a physical field B program, and the physical field B program transmits the parameter psi to the physical field A program The parameter transmission is based on grid mapping of two programs, namely, one grid data of a physical field B program is transmitted to grids of all physical field A programs mapped with the grid; and the data in the physical field A program grid which jointly maps the same physical field B program grid is weighted and averaged and then transferred to the grid of the mapped physical field B program.
The different physical field programs with obvious grid size differences are that the grid size of the physical field B program is larger than that of the physical field A program.
May further include:
1. the grid with the number i in the physical field B program and the parameter transfer to the grid group with the number i in the physical field A program are carried out according to the formula Where j represents the grid number in physical field a program grid group i.
2. The parameters in the grid group with the program number i of the physical field A are weighted and averaged, and the parameters are calculated according to the formulaCalculating to obtain the parameter value transmitted to the grid of physical field B program number iWhere a is the mesh volume or mesh mass as a weighting coefficient, the weighted averaging process comprises a volume weighted average or a mass weighted average.
The grid mapping and data transmission method for the multi-physical field coupling calculation comprises the following steps of:
Step 1: establishing a grid division scheme alpha, wherein the grid size of the grid division scheme alpha is larger than the grid sizes of a physical field A program and a physical field B program;
step 2: partitioning the grid of the physical field A program and the grid of the physical field B program by taking the grid boundary of the grid partitioning scheme alpha as a coupling simulation grid mapping limit;
Step 3: dividing all grids in each partition of a physical field A program into the same grid group, dividing the grids into grid groups corresponding to the partition where the grid center of the grid group is located for grids which are located in a plurality of partitions near the boundary of the partition, and then establishing an index number IndexA_i for each grid group of the physical field A program;
Step 4: dividing all grids in each partition of a physical field B program into the same grid group, dividing the grids into grid groups corresponding to the partition where the grid center of the grid group is located for grids which are located in a plurality of partitions near the boundary of the partition, and then establishing an index number IndexB_i for each grid group of the physical field B program;
Step 5: according to the space position, mapping each grid group of the physical field A program and each grid group of the physical field B program one by one to finish the correspondence of index numbers of the grid groups of the two programs, wherein the grid group of one physical field A program is mapped with the grid group of one physical field B program, and the grid group of one physical field B program is mapped with the grid group of one physical field A program;
step 6: in the coupling simulation, a physical field A program transmits a parameter psi to a physical field B program, and the physical field B program transmits the parameter psi to the physical field A program Parameter transmission is based on grid group mapping of two programs, data in a physical field A program grid of the same grid group of a physical field B program are jointly mapped, and then the data are transmitted to all grids in the mapped physical field B program grid group after weighted averaging treatment; parameters in the physical field B program grids of the same grid group of the common mapping physical field A program are weighted and averaged and then transferred to all grids in the mapped physical field A program grid group.
May further include:
1. parameter transfer from grid group with i number in physical field A program to grid group with i number in physical field B program according to the following mode And will/>And transmitting the total number of grids in the grid group i of the physical field A program to all grids in the grid group i of the physical field B program, wherein j represents the grid number in the grid group i, n1 represents the total number of grids in the grid group i of the physical field A program, and a is the grid volume or the grid quality of the physical field A program serving as a weighting coefficient.
2. Parameter transfer from grid group with number i in physical field B program to grid group with number i in physical field A program according to the following modeAnd will/>All meshes in the mesh group of physical field a program number i are given, where n2 represents the total number of meshes in the mesh group i of physical field B program, and B is the mesh volume or mesh quality of the physical field B program as a weighting factor.
The physical field program for coupling calculation comprises two cases, wherein one case is that the grid size difference among different physical field programs is obvious; another case is that the grid sizes between different physical field programs are close, but the grid shapes, the number and the arrangement modes are different. Under the same inventive concept, a grid mapping and data transfer method for multi-physical field coupling calculation is provided for both cases.
The method mainly comprises the following three parts:
(1) Establishing a simulation grid group of a reactor core physical field refinement program;
(2) Grid mapping among different physical field programs of the reactor core is realized;
(3) And data calculation in the grid group and data transmission among the mapping grids are realized.
Aiming at the two coupling conditions, the main technical means of the invention comprise:
1. Division of core refinement program grid clusters
A. refined grid group division in coupling calculation is performed between a core physical field A program and a core physical field B program (the grid size of the physical field B program is larger than that of the physical field A program): in the coupling simulation, the grid boundary of the physical field B program is used as a coupling simulation grid mapping limit, and the grids of the physical field A program are divided into a series of grid groups, so that one grid of the physical field B program is mapped with a plurality of grids of the physical field A program (one grid group of the physical field A program), and one grid of the physical field A program is mapped with only one grid of the physical field B program.
B. grid group division in coupling calculation between a reactor core physical field A program and a physical field B program with a grid size close to that of the reactor core physical field A program: in the coupling simulation, a grid division scheme alpha is designed, so that the grid size of the designed scheme alpha is larger than the grid sizes of a physical field A program and a physical field B program; the grid of the physical field A program is divided into a series of grid groups by taking the grid boundary of the grid division scheme alpha as a coupling simulation grid mapping limit, and the grid of the physical field B program is divided into a series of grid groups by taking the grid boundary of the grid division scheme alpha as a coupling simulation grid mapping limit, so that the physical field A program and the physical field B program have the same number of grid groups which can be mapped one by one.
2. Grid mapping between different physical field programs of the core
A. Grid mapping in the coupling calculation is performed between the core physical field A program and the core physical field B program (the grid size of the physical field B program is larger than that of the physical field A program): numbering each grid group in the physical field A program, establishing a grid group index IndexA of the physical field A program, numbering each grid in the physical field B program, establishing a grid index IndexB of the physical field B program, and establishing mapping association between the IndexA and the IndexB according to a spatial corresponding relation.
B. Grid mapping in coupling calculation between core physical field A program and physical field B program with grid size close: numbering each grid group in a physical field A program, establishing a grid group index IndexA of the physical field A program, numbering each grid group in a physical field B program, establishing a grid group index IndexB of the physical field B program, and establishing mapping association between the IndexA and the IndexB according to a spatial corresponding relation.
3. Data calculation and transmission in the inter-core physical field program coupling calculation;
a. Data calculation and transmission in the coupling calculation are performed between the core physical field A program and the core physical field B program (the mesh size of the physical field B program is larger than that of the physical field A program): for each grid group of the physical field A program, performing weighted average calculation (such as volume weighted average, mass weighted average and the like) on related parameters psi (such as temperature, density and other parameters) in all grids in the grid group to obtain weighted average parameters of each grid group (grid group number is IndexA_i) Passing the result to a grid (grid number is IndexB_i) of a physical field B program mapped to the grid group; related parameters/>, in each grid (grid number is IndexB_i) of the physical field B program(E.g., power, etc.) to all of the grids in the corresponding grid group (grid group number index a _ i) in the physical field a program.
B. Data calculation and transmission in coupling calculation between a reactor core physical field A program and a physical field B program with a grid size close to each other: for each grid group of the physical field A program, carrying out weighted average calculation (such as volume weighted average, mass weighted average and the like) on parameters psi (such as temperature, density and other parameters) in all grids in the grid group to obtain weighted average parameters of each grid groupTransmitting the calculation result to all grids in the grid group (grid group number is IndexB_i) of the physical field B program mapped to the grid group (grid group number is IndexA_i); for each grid group of the physical field B program, parameters/>, among all grids within the grid group (grid group number index b_i)(Such as power and other parameters) to obtain the weighted average parameter/>, of each grid groupThe calculation result is transferred to all the grids in the grid group (grid group number index a_i) of the physical field a program mapped to the grid group.
The invention can provide technical support for the coupling calculation analysis of different physical field programs with differences in grid size, shape, quantity and arrangement, realize the multi-physical field high-fidelity coupling calculation analysis and improve the prediction precision of the reactor core state.
Drawings
FIG. 1 is a grid mapping and data transfer flow under the coupling simulation condition that the grid size difference among different physical field programs is obvious;
FIG. 2 is an example of grid group partitioning and mapping under the coupling simulation of distinct grid size differences between different physical field programs;
FIG. 3 is a grid mapping and data transfer flow under the coupling simulation condition that the grid sizes of different physical field programs are close, but the grid shapes, the number and the arrangement modes are different;
Fig. 4 shows examples of grid group division and mapping under the coupling simulation condition that grid sizes of different physical field programs are close, but grid shapes, numbers and arrangement modes are different.
Detailed Description
The invention is described in more detail below by way of example.
(1) With reference to fig. 1 and 2, description will be made of the implementation of mesh group division between different physical field programs having a large mesh size difference, mapping between meshes and mesh groups, data calculation in mesh groups, data transfer between meshes, and the like.
1) Establishing an index number IndexB_i for each grid of a physical field B program (the grid size of the physical field B program is larger than that of the physical field A program);
2) According to the grid size characteristics of the two types of programs, the coupling simulation uses the grid boundary of the physical field B program as a coupling simulation grid mapping limit to partition the grid of the physical field A program;
3) Dividing all grids in the same partition of the physical field A program into the same grid group, dividing the grids into grid groups corresponding to the partitions where the grid centers (can be centroid, centroid and the like) of the grids are located for grids which are located in a plurality of partitions near the boundary of the partition, and then establishing an index number IndexA_i for each grid group of the physical field A program;
4) According to the space position, the grids of each physical field B program are mapped with the grid group (composed of a plurality of grids) of the physical field A program, the correspondence of the grid index numbers of the two programs is completed, one grid of the physical field A program is ensured to be mapped with one grid of the physical field B program only, and one grid of the physical field B program is ensured to be mapped with one grid group of the physical field A program only.
5) In the coupling simulation, a physical field A program transmits phi (such as temperature, density and the like) parameters to a physical field B program, and the physical field B program transmits phi parameters to the physical field A program(E.g., power, etc.) parameters. The parameter transmission is based on grid mapping of two programs, namely each grid data of a physical field B program is transmitted to grids of all physical field A programs mapped with the grid; the data in the physical field A program grid which maps the same physical field B program grid together is transferred to the mapped physical field B program grid after certain weighted averaging treatment (such as volume weighted averaging, quality weighted averaging and the like).
The grid with the number i in the physical field B program is transmitted to the grid group with the number i in the physical field A program according to the formula (1), wherein j represents the grid number in the grid group i;
The data in the grid group with physical field A program number i must be subjected to some weighted averaging process (such as volume weighted average, mass weighted average, etc.), and calculated according to the formula (2) to obtain the parameter value transferred to the grid with physical field B program number i Where a is a mesh volume or a mesh quality as a weighting coefficient, and n is the total number of meshes in a mesh group having a physical field a number i.
(2) With reference to fig. 3 and 4, implementation of coupling simulation such as grid group division, mapping, data calculation and transfer among different physical field programs with similar grid sizes will be described.
1) Establishing a grid division scheme alpha, and ensuring that the grid size of the scheme is larger than the grid sizes of a physical field A program and a physical field B program;
2) Partitioning the grid of the physical field A program and the grid of the physical field B program by taking the grid boundary of the grid partitioning scheme alpha as a coupling simulation grid mapping limit;
3) Dividing all grids in each partition of a physical field A program into the same grid group, dividing the grids into grid groups corresponding to the partitions where the grid centers (can be centroid, centroid and the like) of the grids are located for grids which are located in a plurality of partitions near the boundary of the partition, and then establishing an index number IndexA_i for each grid group of the physical field A program;
4) Dividing all grids in each partition of a physical field B program into the same grid group, dividing the grids into grid groups corresponding to the partitions where the grid centers (can be centroid, centroid and the like) of the grids are located for grids which are located in a plurality of partitions near the boundary of the partition, and then establishing an index number IndexB_i for each grid group of the physical field B program;
5) According to the space position, mapping each grid group of the physical field A program and each grid group of the physical field B program one by one, completing the correspondence of index numbers of the grid groups of the two programs, ensuring that one grid group of the physical field A program is mapped with one grid group of the physical field B program only, and ensuring that one grid group of the physical field B program is mapped with one grid group of the physical field A program only;
6) In the coupling simulation, a physical field A program transmits phi (such as temperature, density and the like) parameters to a physical field B program, and the physical field B program transmits phi parameters to the physical field A program (E.g., power, etc.) parameters. The parameter transmission is based on grid group mapping of two programs, and data in grids of a physical field A program of the same grid group of a physical field B program are jointly mapped and then transmitted to all grids in the grid group of the mapped physical field B program after certain weighted averaging treatment (such as volume weighted averaging, mass weighted averaging and the like); the data in the physical field B program grid of the same grid group of the common mapping physical field a program is transferred to all grids in the mapped physical field a program grid group after certain averaging (such as volume weighted average, mass weighted average, etc.).
The parameter transfer from the grid group with the number i in the physical field A program to the grid group with the number i in the physical field B program is calculated according to a weighted average formula (such as volume weighted average calculation or mass weighted average calculation) shown in the formula (3)And transmitting the data to all grids in the grid group with the physical field B program number of i, wherein j represents the grid number in the grid group of i, a is the grid volume or the grid quality of the physical field A program serving as a weighting coefficient, and n1 is the total number of grids in the grid group with the physical field A program number of i.
The parameter transfer of the grid group with the number i in the physical field B program to the grid group with the number i in the physical field A program is calculated according to a weighted average formula (such as volume weighted average calculation, mass weighted average calculation and the like) shown in a formula (4), and the parameter transfer is carried outAnd B is the grid volume or the grid quality of a physical field B program serving as a weighting coefficient, and n2 is the total number of grids in the grid group with the physical field B program number i.
Claims (2)
1. A grid mapping and data transfer method for multi-physical field coupling calculation is characterized in that grid mapping and data transfer between different physical field programs with obvious grid size difference are carried out according to the following steps:
Step 1: establishing an index number IndexB_i for each grid of the physical field B program;
Step 2: taking the grid boundary of the physical field B program as a coupling simulation grid mapping limit, and partitioning the grid of the physical field A program; the grid size of the physical field B program is larger than that of the physical field A program;
Step 3: dividing all grids in the same partition of the physical field A program into the same grid group, dividing the grids into grid groups corresponding to the partitions where the grid centers of the grids are located for grids which are located in a plurality of partitions near the boundaries of the partitions, and then establishing an index number IndexA_i for each grid group of the physical field A program;
Step 4: according to the space position, mapping grids of each physical field B program with grid groups of a physical field A program, completing the correspondence of grid index numbers of the two programs, so that the grid of one physical field A program is mapped with the grid of one physical field B program only, and the grid of one physical field B program is mapped with the grid groups of one physical field A program only;
Step 5: in the coupling simulation, a physical field A program transmits a parameter psi to a physical field B program, and the physical field B program transmits the parameter psi to the physical field A program The parameter transmission is based on grid mapping of two programs, namely any one grid data of a physical field B program is transmitted to all physical field A program grids mapped with the grid; the data in the physical field A program grid which jointly maps the same physical field B program grid is weighted and averaged and then transmitted to the grid of the mapped physical field B program; the grid with the number i in the physical field B program and the parameter transfer to the grid group with the number i in the physical field A program are carried out according to the formulaProceeding, wherein j represents a grid number in a physical field A program grid group i; the parameters in the grid group with the program number i of the physical field A are weighted and averaged, and the parameters are calculated according to/>Calculating to obtain the parameter value/>, which is transmitted to the physical field B program and is numbered as i gridWhere a is the mesh volume or mesh mass as a weighting coefficient, the weighted averaging process comprises a volume weighted average or a mass weighted average.
2. A grid mapping and data transfer method for multi-physical field coupling calculation is characterized in that grid sizes among different physical field programs are close, but grid shapes, quantity and arrangement modes are different, and the grid mapping and data transfer among different physical field programs with similar grid sizes are carried out according to the following steps:
Step 1: establishing a grid division scheme alpha, wherein the grid size of the grid division scheme alpha is larger than the grid sizes of a physical field A program and a physical field B program;
step 2: partitioning the grid of the physical field A program and the grid of the physical field B program by taking the grid boundary of the grid partitioning scheme alpha as a coupling simulation grid mapping limit;
Step 3: dividing all grids in each partition of a physical field A program into the same grid group, dividing the grids into grid groups corresponding to the partition where the grid center is located for grids which are located in a plurality of partitions and are located in the vicinity of the partition boundary, and then establishing an index number IndexA_i for each grid group of the physical field A program;
Step 4: dividing all grids in each partition of a physical field B program into the same grid group, dividing the grids into grid groups corresponding to the partitions where the grid centers of the grids are located for grids which are located in a plurality of partitions near the boundaries of the partitions, and then establishing an index number IndexB_i for each grid group of the physical field B program;
step 5: according to the space position, mapping each grid group of the physical field A program and each grid group of the physical field B program one by one to finish the correspondence of index numbers of the grid groups of the two programs, wherein one physical field A program grid group is mapped with one physical field B program grid group only;
step 6: in the coupling simulation, a physical field A program transmits a parameter psi to a physical field B program, and the physical field B program transmits the parameter psi to the physical field A program Parameter transmission is based on grid group mapping of two programs, data in a physical field A program grid of the same grid group of a physical field B program are jointly mapped, and then the data are transmitted to all grids in the mapped physical field B program grid group after weighted averaging treatment; parameters in the physical field B program grids of the same grid group of the common mapping physical field A program are weighted and averaged and then transmitted to all grids in the mapped physical field A program grid group; parameter transfer from grid group with i number in physical field A program to grid group with i number in physical field B program is carried out according to/>And will/>Transmitting the grid data to all grids in a grid group with a physical field B program number of i, wherein j represents the grid number in the grid group i, and a is the grid volume or the grid quality of the physical field A program serving as a weighting coefficient; parameter transfer from grid group with number i in physical field B program to grid group with number i in physical field A program according to the following modeThe weighted average formula shown calculates and will/>And transmitting the data to all grids in a grid group of which the physical field A program is numbered i, wherein B is the grid volume or the grid quality of the physical field B program serving as a weighting coefficient.
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Non-Patent Citations (4)
| Title |
|---|
| ADVANCES IN MULTI-PHYSICS AND HIGH PERFORMANCE COMPUTING IN SUPPORT OF NUCLEAR REACTOR POWER SYSTEMS MODELING AND SIMULATION;PAUL J. TURINSKY;《Nuclear Engineering and Technology》;20120325;第44卷(第2期);第104页第2栏，第105页第2栏，第106页第1栏，及图4 * |
| PWR堆芯热工水力CFD仿真优化方案研究;陈广亮等;《核动力工程》;20161031;第37卷(第5期);15-18 * |
| 基于蒙特卡罗方法和CFD方法的物理‐热工耦合计算;陈军等;《原子能科学技术》;20160228;第50卷(第2期);第302页第1栏倒数第2段，第2栏最后一段 * |
| 核反应堆热工水力多尺度耦合模拟初步研究;刘余等;《核动力工程》;20100531;第31卷;11-15 * |
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