堆用重要核数据评价处理及应用的关键方法与软件研发
发布时间：2019-04-01 07:51
【摘要】：先进核能系统的自主化堆芯物理设计需要准确的核数据为基础,实现堆用重要核数据从实验核数据库出发,到被RMC、MCNP等反应堆蒙特卡罗程序所使用的连续能量点截面数据库,需要经过共振参数评价、共振截面重造、多普勒展宽和概率表等关键处理环节。其关键方法和程序一直被国外权威程序所垄断,是制约我国实现真正自主堆芯物理设计的重要因素。本文以反应堆用重要核数据的评价、处理和应用等重要环节的关键方法为主线,在关键算法研究的基础上,研制具有自主知识产权的反应堆重要核数据的评价、处理与应用程序系统。主要研究内容如下:1)研究了非线性最小二乘拟合方法,实现了基于最新R矩阵近似公式的共振参数评价功能,研发了共振参数评价程序RRPE。2)针对自主研发核数据处理程序RXSP的现有共振重造模块CSP的功能和收敛准则方面的不足,扩展了基于该R-Matrix Limited公式的共振重造功能。3)研究了不可分辨共振能区的概率表生成方法,在RXSP程序框架中研发了概率表生成模块PURC,研究并解决了经典算法中的效率瓶颈,并进行了Open MP并行加速。4)研究了温度相关截面的快速多普勒展宽方法与RMC程序的内耦合方法,实现了RMC程序的内置多普勒展宽功能(包括热化数据插值)。通过上述研究,本文得到了如下结论:基于Levenberg-Marquardt方法研发的共振参数评价程序RRPE的评价精度与国际权威程序SAMMY大致相当;改进的共振重造模块CSP能够实现R-Matrix Limited格式的共振参数处理,处理精度与NJOY(2012)相当;在改进排序算法和并行加速处理之后,基于“Ladder Sampling”方法研发的PURC模块能够实现准确、高效生成概率表截面数据;基于快速多普勒展宽和热化截面插值的RMC程序内置多普勒展宽功能,能够实现中子输运过程中的温度相关截面的快速处理,能够应用在具有大量核素和大量温度反馈的反应堆堆芯物理-热工水力耦合计算中。
[Abstract]:The independent core physical design of advanced nuclear power system needs accurate nuclear data to realize the important nuclear data from experimental nuclear database to continuous energy point cross section database used by RMC,MCNP and other reactor Monte Carlo programs. The key processing links, such as resonance parameter evaluation, resonance cross section reconstruction, Doppler broadening and probability table, are needed. Its key methods and procedures have always been monopolized by foreign authoritative procedures, which is an important factor restricting the realization of truly autonomous core physical design in China. On the basis of the research of key algorithms, the evaluation of important nuclear data of reactors with independent intellectual property rights is developed on the basis of the key methods of critical links such as evaluation, processing and application of important nuclear data for reactor use. Processing and application system. The main contents are as follows: 1) the nonlinear least squares fitting method is studied, and the function of resonance parameter evaluation based on the latest R-matrix approximation formula is realized. The resonance parameter evaluation program (RRPE.2) is developed, which aims at the shortcomings in the function and convergence criteria of the existing resonant reconstruction module (CSP), which independently develops the nuclear data processing program (RXSP). The resonance reconstruction function based on the R-Matrix Limited formula is extended. 3) the probability table generation method of indiscernible resonance energy region is studied, and the probability table generation module PURC, is developed in the framework of RXSP program. The efficiency bottleneck of the classical algorithm is studied and solved, and the parallel acceleration of Open MP is carried out. 4) the fast Doppler broadening method of temperature-dependent cross section and the internal coupling method of RMC program are studied. The built-in Doppler broadening function of RMC program (including thermal data interpolation) is realized. Through the above-mentioned research, this paper draws the following conclusions: the evaluation accuracy of the resonance parameter evaluation program RRPE based on the Levenberg-Marquardt method is about the same as that of the international authoritative program SAMMY; The improved resonant reconstruction module CSP can realize the processing of resonance parameters in R-Matrix Limited format, and the processing precision is equal to that of NJOY (2012). After improving the sorting algorithm and parallel accelerated processing, the PURC module based on the "Ladder Sampling" method can achieve accurate and efficient generation of probability table cross-section data. The RMC code based on fast Doppler broadening and thermal cross-section interpolation has built-in Doppler broadening function, which can realize the fast processing of temperature-dependent cross sections in neutron transport process. It can be applied to the physical-thermal-hydraulic coupling calculation of reactor core with a large number of nuclides and a large amount of temperature feedback.
【学位授予单位】：清华大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：TL351.1
本文编号：2451377
[Abstract]:The independent core physical design of advanced nuclear power system needs accurate nuclear data to realize the important nuclear data from experimental nuclear database to continuous energy point cross section database used by RMC,MCNP and other reactor Monte Carlo programs. The key processing links, such as resonance parameter evaluation, resonance cross section reconstruction, Doppler broadening and probability table, are needed. Its key methods and procedures have always been monopolized by foreign authoritative procedures, which is an important factor restricting the realization of truly autonomous core physical design in China. On the basis of the research of key algorithms, the evaluation of important nuclear data of reactors with independent intellectual property rights is developed on the basis of the key methods of critical links such as evaluation, processing and application of important nuclear data for reactor use. Processing and application system. The main contents are as follows: 1) the nonlinear least squares fitting method is studied, and the function of resonance parameter evaluation based on the latest R-matrix approximation formula is realized. The resonance parameter evaluation program (RRPE.2) is developed, which aims at the shortcomings in the function and convergence criteria of the existing resonant reconstruction module (CSP), which independently develops the nuclear data processing program (RXSP). The resonance reconstruction function based on the R-Matrix Limited formula is extended. 3) the probability table generation method of indiscernible resonance energy region is studied, and the probability table generation module PURC, is developed in the framework of RXSP program. The efficiency bottleneck of the classical algorithm is studied and solved, and the parallel acceleration of Open MP is carried out. 4) the fast Doppler broadening method of temperature-dependent cross section and the internal coupling method of RMC program are studied. The built-in Doppler broadening function of RMC program (including thermal data interpolation) is realized. Through the above-mentioned research, this paper draws the following conclusions: the evaluation accuracy of the resonance parameter evaluation program RRPE based on the Levenberg-Marquardt method is about the same as that of the international authoritative program SAMMY; The improved resonant reconstruction module CSP can realize the processing of resonance parameters in R-Matrix Limited format, and the processing precision is equal to that of NJOY (2012). After improving the sorting algorithm and parallel accelerated processing, the PURC module based on the "Ladder Sampling" method can achieve accurate and efficient generation of probability table cross-section data. The RMC code based on fast Doppler broadening and thermal cross-section interpolation has built-in Doppler broadening function, which can realize the fast processing of temperature-dependent cross sections in neutron transport process. It can be applied to the physical-thermal-hydraulic coupling calculation of reactor core with a large number of nuclides and a large amount of temperature feedback.
【学位授予单位】：清华大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：TL351.1
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