CN113609744B - Quick reactor core three-dimensional power construction method based on Meng Ka critical calculation single-step method - Google Patents

Quick reactor core three-dimensional power construction method based on Meng Ka critical calculation single-step method Download PDF

Info

Publication number
CN113609744B
CN113609744B CN202110890719.7A CN202110890719A CN113609744B CN 113609744 B CN113609744 B CN 113609744B CN 202110890719 A CN202110890719 A CN 202110890719A CN 113609744 B CN113609744 B CN 113609744B
Authority
CN
China
Prior art keywords
generation
calculation
meng
particle number
critical
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110890719.7A
Other languages
Chinese (zh)
Other versions
CN113609744A (en
Inventor
潘清泉
张滕飞
刘晓晶
何辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Jiaotong University
Original Assignee
Shanghai Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Jiaotong University filed Critical Shanghai Jiaotong University
Priority to CN202110890719.7A priority Critical patent/CN113609744B/en
Publication of CN113609744A publication Critical patent/CN113609744A/en
Application granted granted Critical
Publication of CN113609744B publication Critical patent/CN113609744B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/25Design optimisation, verification or simulation using particle-based methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Monitoring And Testing Of Nuclear Reactors (AREA)

Abstract

According to the core three-dimensional power rapid construction method based on the Meng Ka critical calculation single-step method, by increasing the particle number generation by generation, the inactive generation is not calculated any more, the fission source convergence diagnosis problem is not considered, the critical calculation efficiency is remarkably improved Meng Ka in a manner of adjusting the weight of each calculation generation in real time, and all calculation generations are ensured to contribute to the calculation result. Based on the Meng Ka critical single-step method without the non-active generation, which is provided by the invention, the power distribution of the whole pile three-dimension can be quickly constructed, and the highest calculation efficiency is realized.

Description

Quick reactor core three-dimensional power construction method based on Meng Ka critical calculation single-step method
Technical Field
The invention relates to a technology in the field of reactor physics, in particular to a technology for avoiding inactive generation by adjusting the particle number scale of Monte Care critical calculation, thereby improving the efficiency of Monte Care critical calculation and realizing the rapid construction of three-dimensional power of a reactor core.
Background
The three-dimensional power distribution of the reactor core is the most critical physical quantity in the research and development design of the novel reactor, and can be obtained through Meng Ka critical calculation, so the critical calculation is the most basic requirement of the physical design of the reactor. The traditional Meng Ka critical algorithm divides the computation process into inactive and active generations, namely: the stable convergent fission source distribution is obtained through the calculation of the inactive generation, and then the system information is counted through the calculation of the active generation. Wherein the computation of the inactive generation is not counted and is regarded as a waste of computing resources. In some large scale systems and loosely coupled systems, fission source convergence is slow, requiring hundreds of inactive generations of computation to be completed to achieve fission source convergence. Meanwhile, in the calculation process of the inactive generation, whether the fission source is converged is difficult to diagnose in real time, and calculation errors caused by starting statistics when the fission source is not converged are often avoided by adding the inactive generation, so that the waste of calculation resources is further caused. If the calculation efficiency is too low, the three-dimensional power distribution of the reactor core cannot be quickly constructed, so that the physical calculation of the reactor core with high fidelity is difficult, and the development and design of the novel reactor are faced with bottlenecks.
Disclosure of Invention
Aiming at the problem of low calculation efficiency caused by the inactive generation process of the conventional Meng Ka critical algorithm, the invention provides a method for quickly constructing three-dimensional power of a reactor core based on a Meng Ka critical calculation single-step method, wherein the calculation of the inactive generation is avoided by increasing the particle number generation by generation and adjusting the weight of each calculation generation in real time, so that the efficiency of critical calculation of Meng Ka can be obviously improved, the three-dimensional power distribution of the reactor core is quickly constructed, and the physical design of the reactor core of a novel reactor is effectively supported.
The invention is realized by the following technical scheme:
the invention relates to a method for quickly constructing three-dimensional power of a reactor core based on a Meng Ka critical calculation single-step method, which comprises the following steps:
step 1: determining an optimal sequence of particle number increments according to a fission source error propagation model: obtaining a universal particle number increasing sequence according to a fission source error transfer modelWherein: i represents the serial number of the calculation generation, and the values are 1, 2 and 3; m is m (1) Is the initial particle number, m (i) Is the particle number of the ith generation; c is a model dependent constant. By determining a constant c and an initial particle number m (1) An optimal sequence of particle count increments can be determined.
The present invention has demonstrated by mathematical derivation that c and m (1) The smaller the value of Meng Ka critical calculation single step method is, the higher the calculation efficiency is. In the invention, the constant c is preferably 1.0; initial particle number m (1) The larger the system or the higher the degree of loose coupling, the required initial particle count m, which is related to the system scale and the degree of loose coupling (1) The larger the value should be, the initial particle number m cannot be infinitely reduced to improve the calculation efficiency (1) Initial particle number m in the present invention (1) The preferred value is 50, 100 or 1000.
Step 2: and determining the optimal weight of each calculation generation to the whole calculation result according to the incremental sequence of the particle numbers. Because the prior p generation fission source has larger error, the optimal weighting coefficient is obtained by minimizing the proportion of the neutron statistical information of the prior p generation to the total neutron statistical information on the premise of fixed total particle number, thereby realizing the highest calculation efficiency.
The neutron statistical information of the previous generation accounts for the share of the total neutron statistical information Wherein: />Information amount of the previous generation p; s is(s) cum Is the total information quantity; n represents the total algebra of the simulation; w (w) (i) Is the weighting coefficient of the ith generation; m is m (i) Is the particle number of the ith generation; c is a model dependent constant.
The said processOptimizing weighting coefficients
Step 3: performing Meng Ka critical calculations and counting the three-dimensional power distribution of the core: ensuring that the particle number of each generation is equal to the optimal particle number increasing sequence, not distinguishing the inactive generation from the active generation, counting the power distribution from the 1 st calculation generation, and adopting an optimized weighting coefficient for each generation weight coefficient to further construct the three-dimensional power distribution of the reactor coreWherein: i is the sequence number of the calculation generation; w (w) (i) Is the weighting coefficient of the ith generation; m is m (i) Is the particle number of the ith generation; r (m) (i) ) Is the power response function of the ith generation, Q (i) Is the power distribution of the ith generation, N is the total calculated algebra.
Technical effects
The method integrally solves the problem of low calculation efficiency faced by the existing Meng Ka critical algorithm. According to the method, the inactive generation is not calculated any more, the problem of convergence diagnosis of the fission source is not considered, all calculation generations are guaranteed to contribute to the calculation result, and the effect of Meng Ka critical calculation is effectively improved. Based on the Meng Ka critical single-step method without the non-active generation, which is provided by the invention, the power distribution of the whole pile three-dimension can be quickly constructed, and the highest calculation efficiency is realized.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a geometric view of an embodiment VERA reactor core;
fig. 3 is a three-dimensional power distribution diagram of an embodiment.
Detailed Description
As shown in fig. 2, a single-step application scenario of the Meng Ka critical computation without the non-active generation according to this embodiment, i.e., the VERA reactor core, is obtained by uniformly dividing the core into 15×15×10=2250 regions and using this method to calculate the power distribution of these 2250 regions, the power distribution of the core region is shown in fig. 3.
Firstly, using an RMC program to carry out physical modeling on the model, and defining geometric and material parameters of the model through an input card; a sequence of increasing particle numbers is selected for the computational model, namely input: m is m (1) C and h, and according to m (1) Determining the particle number sequence m by c and h (i) The method comprises the steps of carrying out a first treatment on the surface of the Determining a total algebra N to be calculated according to the total particle number; and carrying out mathematical optimization analysis on the whole model to determine the optimal weighting coefficient.
Starting from generation 1, neutron transport simulations were performed, with the neutrons of each generation of simulation satisfying a population increment sequence.
And counting the power distribution from the generation 1, wherein the counting process meets the requirement of a weighting technology.
After the N-generation calculation is completed, the data are analyzed and the result is processed, so that the three-dimensional power distribution of the whole pile is obtained.
In order to highlight the advantages of the present solution over the prior art, a comparative verification is performed here. 8 groups of calculation are carried out by adopting the traditional technical scheme, and the calculation parameters are as follows: (1) m=10,000, n 1 =100,n 2 =500;(2)m=10,000,n 1 =200,n 2 =500;(3)m=100,000,n 1 =100,n 2 =500;(4)m=100,000,n 1 =200,n 2 =500;(5)m=500,000,n 1 =100,n 2 =500;(6)m=500,000,n 1 =200,n 2 =500;(7)m=1,000,000,n 1 =100,n 2 =500;(8)m=1,000,000,n 1 =200,n 2 =500. Where m represents the number of particles simulated per generation, n 1 =the number of inactive generations of the simulation, the total number of generations of the simulation.
Meanwhile, 8 groups of calculation are performed by using the calculation scheme, and the calculation parameters are as follows: (1) m is m 1 =50,c=1.0,n=1000;(2)m 1 =50,c=1.0,n=5000;(3)m 1 =50,c=1.0,n=10,000;(4)m 1 =100,c=1.0,n=100,000;(5)m 1 =100,c=1.0,n=1000;(6)m 1 =100,c=1.0,n=5000;(7)m 1 =100,c=1.0,n=10,000;(8)m 1 =100, c=1.0, n=100,000. M here 1 =initial number of particles, c represents a constant of the increasing sequence of the number of particles, n represents the number of calculated generations of the total simulation.
Measuring computational efficiency using a time-dependent average quality factor, the average quality factor Wherein: m is the number of statistical regions, T is the calculation time, re k Is the relative standard deviation of the kth region.
At the same time, the calculation efficiency is measured by using the average quality factor related to the particle number Wherein: m is the number of statistical regions, h is the simulated total particle count, re k Is the relative standard deviation of the kth region.
Two initial fission sources are set for critical calculations: (1) an initial point source at a central location of the VERA core; (2) a homogeneous body source over the full core of the VERA core. The calculation results are compared with table 1.
TABLE 1 comparison of the calculated average quality factors for each group
As can be seen from table 1 and fig. 3, the method can quickly construct the power distribution of the three-dimensional full core.
Compared with the prior art, the method has higher overall calculation efficiency. The efficiency of Meng Ka critical calculation can be effectively improved, so that three-dimensional power distribution of the reactor core can be quickly constructed, and the reactor core physical design of the novel reactor can be effectively supported.
The foregoing embodiments may be partially modified in numerous ways by those skilled in the art without departing from the principles and spirit of the invention, the scope of which is defined in the claims and not by the foregoing embodiments, and all such implementations are within the scope of the invention.

Claims (6)

1. The quick construction method for the three-dimensional power of the reactor core based on the Meng Ka critical calculation single-step method is characterized by comprising the following steps of:
step 1: determining an optimal sequence of particle number increments according to a fission source error propagation model: obtaining a universal particle number increasing sequence according to a fission source error transfer modelWherein: i represents the serial number of the calculation generation, and the values are 1, 2 and 3 …; m is m (1) Is the initial particle number, m (i) Is the particle number of the ith generation; c is a model-dependent constant, by determining the constant c and the initial particle number m (1) The optimal sequence of particle number increments can be determined;
step 2: determining the optimal weight of the whole calculation result of each calculation generation according to the incremental sequence of the particle numbers, and obtaining an optimal weighting coefficient by taking the share of the neutron statistical information of the previous generation with the total neutron statistical information of the previous generation as a target on the premise of fixed total particle numbers because of larger errors of the fission sources of the previous generation, thereby realizing the highest calculation efficiency;
step 3: performing Meng Ka critical calculations and counting the three-dimensional power distribution of the core: ensuring that the particle number of each generation is equal to the optimal particle number increasing sequence, not distinguishing the inactive generation from the active generation, counting the power distribution from the 1 st calculation generation, and adopting an optimized weighting coefficient for each generation weight coefficient to further construct the three-dimensional power distribution of the reactor coreWherein: i is the sequence number of the calculation generation; w (w) (i) Is the weighting coefficient of the ith generation; m is m (i) Is the particle number of the ith generation; r (m) (i) ) Is the power response function of the ith generation, Q (i) Is the power distribution of the ith generation, N is the total calculated algebra.
2. The method for quickly constructing the three-dimensional power of the reactor core based on the Meng Ka critical calculation single-step method, which is disclosed in claim 1, is characterized in that the non-active generation is not calculated any more, the fission source convergence diagnosis problem is not considered, and the statistics of the power distribution is carried out from the first generation.
3. The method for quickly constructing the three-dimensional power of the reactor core based on the Meng Ka critical calculation single-step method, which is disclosed in claim 1, is characterized in that the constant c takes a value of 1.0.
4. The method for rapidly constructing three-dimensional power of reactor core based on Meng Ka critical calculation single-step method as claimed in claim 1, wherein the initial particle number m (1) The value is 50, 100 or 1000.
5. The method for rapidly constructing three-dimensional power of reactor core based on Meng Ka critical calculation single-step method as claimed in claim 1, wherein the neutron statistical information of the previous p generations accounts for the share of the total neutron statistical information Wherein: />Information amount of the previous generation p; s is(s) cum Is the total information quantity; n represents the total algebra of the simulation; w (w) (i) Is the weighting coefficient of the ith generation; m is m (i) Is the particle number of the ith generation; c is a model dependent constant.
6. The method for quickly constructing three-dimensional power of reactor core based on Meng Ka critical calculation single-step method as set forth in claim 1 or 4, wherein the share of neutron statistics information of previous p generations with respect to total neutron statistics information is minimized as a target to obtain an optimized weighting coefficient on the premise of fixed total particle number,
CN202110890719.7A 2021-08-04 2021-08-04 Quick reactor core three-dimensional power construction method based on Meng Ka critical calculation single-step method Active CN113609744B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110890719.7A CN113609744B (en) 2021-08-04 2021-08-04 Quick reactor core three-dimensional power construction method based on Meng Ka critical calculation single-step method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110890719.7A CN113609744B (en) 2021-08-04 2021-08-04 Quick reactor core three-dimensional power construction method based on Meng Ka critical calculation single-step method

Publications (2)

Publication Number Publication Date
CN113609744A CN113609744A (en) 2021-11-05
CN113609744B true CN113609744B (en) 2023-10-20

Family

ID=78306762

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110890719.7A Active CN113609744B (en) 2021-08-04 2021-08-04 Quick reactor core three-dimensional power construction method based on Meng Ka critical calculation single-step method

Country Status (1)

Country Link
CN (1) CN113609744B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140029571A (en) * 2012-08-28 2014-03-11 한국수력원자력 주식회사 Subcritical core simulation method using neutron source term
CN107133455A (en) * 2017-04-20 2017-09-05 西安交通大学 Utilize the method for coupling Monte-carlo Simulation ADS system transients problems
CN110457802A (en) * 2019-07-31 2019-11-15 上海交通大学 The precision optimizing implementation method of simulation is checked for SFCOMPO burnup experiment benchmark problem
CN111414722A (en) * 2020-03-19 2020-07-14 西安交通大学 Simulation method for physical and thermal coupling of nuclear reactor core
CN112199811A (en) * 2020-08-10 2021-01-08 上海交通大学 Reactor core parameter determination method and device for nuclear thermal propulsion reactor
CN112685905A (en) * 2021-01-04 2021-04-20 上海交通大学 Fission source extrapolation method for accelerating Monte Carr critical calculation
CN113139325A (en) * 2021-05-12 2021-07-20 上海交通大学 Monte critical calculation-based implementation method for uniform distribution of global variance of reactor

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7233888B2 (en) * 2002-07-09 2007-06-19 General Electric Company Monte Carlo criticality-mode systems and methods for computing neutron and gamma fluence in a nuclear reactor

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140029571A (en) * 2012-08-28 2014-03-11 한국수력원자력 주식회사 Subcritical core simulation method using neutron source term
CN107133455A (en) * 2017-04-20 2017-09-05 西安交通大学 Utilize the method for coupling Monte-carlo Simulation ADS system transients problems
CN110457802A (en) * 2019-07-31 2019-11-15 上海交通大学 The precision optimizing implementation method of simulation is checked for SFCOMPO burnup experiment benchmark problem
CN111414722A (en) * 2020-03-19 2020-07-14 西安交通大学 Simulation method for physical and thermal coupling of nuclear reactor core
CN112199811A (en) * 2020-08-10 2021-01-08 上海交通大学 Reactor core parameter determination method and device for nuclear thermal propulsion reactor
CN112685905A (en) * 2021-01-04 2021-04-20 上海交通大学 Fission source extrapolation method for accelerating Monte Carr critical calculation
CN113139325A (en) * 2021-05-12 2021-07-20 上海交通大学 Monte critical calculation-based implementation method for uniform distribution of global variance of reactor

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
SCWR堆芯稳态性能分析程序计算偏差分析;杨平;王连杰;明哲东;赵文博;孙伟;徐阳;李海博;;核动力工程(第06期);全文 *
Start-up Core Physics Tests of High Temperature Engineering Test Reactor (HTTR), (II) First Criticality by an Annular Form Fuel Loading and Its Criticality Prediction Method;Nozomu FUJIMOTO;Masaaki NAKANO;Mitsuo TAKEUCHI;Shingo FUJISAKI;Kiyonobu YAMASHITA;CNKI;第42卷(第5期);全文 *
Toshihiro YAMAMOTO & Yoshinori MIYOSHI.Reliable Method for Fission Source Convergence of Monte Carlo Criticality Calculation with Wielandt's Method.CNKI.2004,第41卷(第2期),全文. *
某型空间堆堆芯热工水力特性数值分析;任董国;柴翔;李仲春;夏文勇;张滕飞;庄伟业;刘晓晶;核科学与工程;第40卷(第005期);全文 *
气固两相流系统核热耦合研究;张淑凡;柴翔;张滕飞;第十六届全国反应堆热工流体学术会议暨中核核反应堆热工水力技术重点实验室2019年学术年会;全文 *

Also Published As

Publication number Publication date
CN113609744A (en) 2021-11-05

Similar Documents

Publication Publication Date Title
CN111414722B (en) Simulation method for physical and thermal coupling of nuclear reactor core
CN112966428B (en) Cross-section treatment system for reactor core
CN107729621B (en) A kind of verification tool of statical model
Kelly et al. MC21 analysis of the nuclear energy agency Monte Carlo performance benchmark problem
US9122822B2 (en) Three-dimensional fluid simulation method
Kim et al. A multiobjective mesh optimization framework for mesh quality improvement and mesh untangling
CN112685905B (en) Fission source extrapolation method for accelerating Monte Carr critical calculation
CN111914464B (en) Method and system for optimizing multi-resonance nuclide resonance simulation subgroup of reactor assembly
CN107704266B (en) Reduction method applied to solving particle simulation parallel data competition
CN113609099B (en) Method for manufacturing fusion reactor multi-group shielding database based on Monte Carlo method
CN113609744B (en) Quick reactor core three-dimensional power construction method based on Meng Ka critical calculation single-step method
CN112528484B (en) Meng Ka transport simulation algorithm for CAD geometry and use method thereof
CN103593504A (en) Rope net activity reliability simulation method based on modified mass amplification technique
CN110705606A (en) Spatial K-means clustering method based on Spark distributed memory calculation
Choi et al. A New Equivalence Theory Method for Treating Doubly Heterogeneous Fuel—II: Verifications
Liu et al. Nonmatching discontinuous Cartesian grid algorithm based on the multilevel octree architecture for discrete ordinates transport calculation
Lam et al. Subsampling variance for input uncertainty quantification
CN114139431A (en) Shielding fast calculation method based on particle sampling position real-time optimization
Burke Kernel Density Estimation Techniques for Monte Carlo Reactor Analysis.
JP2005259170A (en) Random number generating method based on non-normal distribution, and parameter estimation method thereof
Song et al. Multi-objective optimization of method of characteristics parameters based on genetic algorithm
CN110457768A (en) Consider the configuration method of the MEMS device parameter based on reliability under fabrication error
Li et al. An intelligent optimization method for preliminary design of lead-bismuth reactor core based on kriging surrogate model
CN113887097B (en) Nuclear thermal strong coupling method based on inverse distance weighted interpolation
ShangGuan et al. Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant