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An adaptive optimization reverse regulation method for neutron spectrum based on standardized response module
Fusion Engineering and Design ( IF 1.7 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.fusengdes.2020.112155 Chenglong Cao , Quan Gan
Fusion Engineering and Design ( IF 1.7 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.fusengdes.2020.112155 Chenglong Cao , Quan Gan
Abstract The neutron spectrum is one of the essential parameters in the design of advanced nuclear energy systems. Neutron spectra of different nuclear energy systems have wide differences so that accurate regulation of a specific neutron spectrum is of great significance to its development. In this research, an adaptive optimization reverse regulation method for neutron spectrum based on standardized response module was developed. The proposed method designed different types of standardized response modules and calibrated it with their corresponding multi-dimensional response matrix calculated by the Monte Carlo program. Combined with an intelligent optimization algorithm and artificial neural network algorithm, the regulation scheme of the target neutron spectrum could be constructed and modified accurately and efficiently. The 14 MeV single-energy fusion neutron source was used to verify the regulated results of the proposed method on the tritium breeder blanket of a fusion reactor (ITER) whose results showed that the accuracy of the proposed method was improved by 7.69 % compared to the forward manual experiment. Also, a verification of the regulated spectrum on a fission reactor RBEC-M was done to ensure universal application of the method.
中文翻译:
基于标准化响应模块的中子能谱自适应优化逆向调节方法
摘要 中子能谱是先进核能系统设计的重要参数之一。不同核能系统的中子能谱差异很大,准确调控特定的中子能谱对其发展具有重要意义。本研究开发了一种基于标准化响应模块的中子能谱自适应优化逆向调节方法。该方法设计了不同类型的标准化响应模块,并使用蒙特卡罗程序计算出的相应多维响应矩阵对其进行校准。结合智能优化算法和人工神经网络算法,可以准确高效地构建和修改目标中子谱调节方案。利用14 MeV单能聚变中子源在聚变反应堆氚增殖毯上验证了所提方法的调节结果,结果表明,所提方法的准确度比常规方法提高了7.69%。向前手动实验。此外,还对裂变反应堆 RBEC-M 上的调节光谱进行了验证,以确保该方法的普遍应用。
更新日期:2021-02-01
中文翻译:
基于标准化响应模块的中子能谱自适应优化逆向调节方法
摘要 中子能谱是先进核能系统设计的重要参数之一。不同核能系统的中子能谱差异很大,准确调控特定的中子能谱对其发展具有重要意义。本研究开发了一种基于标准化响应模块的中子能谱自适应优化逆向调节方法。该方法设计了不同类型的标准化响应模块,并使用蒙特卡罗程序计算出的相应多维响应矩阵对其进行校准。结合智能优化算法和人工神经网络算法,可以准确高效地构建和修改目标中子谱调节方案。利用14 MeV单能聚变中子源在聚变反应堆氚增殖毯上验证了所提方法的调节结果,结果表明,所提方法的准确度比常规方法提高了7.69%。向前手动实验。此外,还对裂变反应堆 RBEC-M 上的调节光谱进行了验证,以确保该方法的普遍应用。