堆芯稳态核设计程序验证基准题衍生技术研究

Research on benchmark derivation techniques in verification of steady state nuclear reactor core design programs

软件验证是保证核电软件质量的必经步骤之一,基准题验证是核电软件验证的一种重要手段.基准题的数据来源主要是通过自主实验、收集核电厂运行数据、加入国际实验研究计划和购买国际基准题的数据等传统方法获取,但是存在成本高,周期长的问题.为了给堆芯稳态核设计程序验证测试提供更多的验证基准题,本文基于蜕变测试原理提出一种基准题衍生技术,该技术首先建立基准题衍生框架,主要思想是根据蜕变关系的参变量及关系式,直接对原始基准题的相关输入和输出参变量进行计算求解,得到衍生基准题(新的测试用例).再者,针对基准题以固定格式输入卡的形式实现待测程序数据输入的特点,为了提高衍生效率,设计基准题自动衍生算法,开发基准题自动衍生工具系统.最后,以堆芯稳态中子扩散程序的二维、三维基准题的衍生为实例展示.结果表明,该技术可自动地实现单个或者批量生成二维,三维衍生基准题.不但生成数据准确、效率高,而且比传统的方法成本低.

Verification is one of the necessary steps to ensure the quality of nuclear power software, and benchmark calculation is an important mean of nuclear power software verification. The traditional methods of obtaining benchmark data mainly include independent experiments, collecting operation data of nuclear power plants, joining international experimental research programs, and purchasing data of international benchmarks. However, they have the problems of high cost and long cycle. In order to provide more benchmarks for the verification of steady state nuclear reactor core design programs, a benchmark derivation technique based on metamorphic testing principle is proposed in this paper. First, the technology established the framework of benchmark derivation, whose main idea is to directly calculate and solve the related input and output parameters of the original benchmark according to the parameters and relations of the metamorphic relationship, so as to obtain the derived benchmark (new test cases). Furthermore, aiming at the characteristic that the benchmark problems can input the data of the program under test in the form of a fixed format input card, an automatic derivation algorithm for benchmark questions was designed and a benchmark automatic derivation system was developed to improve the efficiency of derivation. Finally, the two-dimensional and three-dimensional benchmarks of the steady state neutron diffusion program were demonstrated as examples. Results show that the technology can automatically generate two-dimensional and three-dimensional derivative benchmarks in a single or batch way, which not only generates data accurately and efficiently, but also costs less than traditional methods.