基于模拟退火算法的铀富集度计算方法研究

Uranium Enrichment Calculation Method Based on Simulated Annealing Algorithm

  • 摘要: γ能谱分析铀富集度是国际核保障核查的一项重要技术手段,作为特种核材料的一种,235U是核保障监督的重要核查对象,其富集度测量是涉及整个核燃料循环中多个环节产品工艺控制、过程测量和废物特性鉴定的关键性测量。本研究提出一种基于模拟退火算法的γ能谱分析铀富集度计算方法,针对富集度计算实际问题建立相应数学模型,使用抽样理论和禁忌搜索策略对算法解的产生和迭代过程进行改进,并结合非线性最小二乘拟合对样品富集度进行迭代求解,在143~1001 keV能量范围内实现相对效率曲线的拟合及富集度计算。算法性能测试及样品分析结果表明,改进后的模拟退火算法能够避免铀富集度计算中出现局部最优的问题。该方法可以较好地应用于形态及样品组成等不同的铀样品富集度计算,所有测量样品的富集度分析结果的相对偏差均在±5%以内。

     

    Abstract: Gamma spectrometry analysis of uranium enrichment is an important technical tool for international nuclear safeguards verification. As a kind of special nuclear materials, 235U is an important verification object of nuclear safeguards verification. In addition, the determination of uranium enrichment in samples is a key measurement for product process control, process measurement and waste characterization in uranium enrichment production facilities, uranium conversion facilities, fuel manufacturing plants and reprocessing plants, as well as a key technical means for tracking illicit trafficking in nuclear materials and responding to terrorist threats and attacks in homeland security activities. Simulated annealing algorithm is aiming to simulate the solid annealing process, and iteratively solve the solution problem by continuously reducing the annealing temperature and combining with the Metropolis criterion. The result has been proved to converge to the global optimal solution according to probability 1, which is one of the common solutions for solving optimization problems. In the article, a uranium enrichment calculation method based on simulated annealing algorithm is proposed for gamma spectrometry analysis. A corresponding mathematical model is established for the practical problem of enrichment calculation, the generation and iterative process of algorithmic solutions are improved by using the sampling theory and the forbidden searching strategy, and the iterative solution is combined with the nonlinear least-squares fitting for the enrichment of the samples, which realizes the relative efficiency of the curve fitting and the calculation of the enrichment degree within the energy range of 143 keV to 1001 keV. The performance test of the algorithm and the results of sample analysis show that the uranium enrichment calculation method based on the improved simulated annealing algorithm has the ability to escape the local optimal problem in uranium enrichment calculation, and can be applied to the enrichment calculation of different uranium samples, the relative deviation of the results of the enrichment analysis over all measured samples is within ±5%.

     

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