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Optimization of a mirror-based neutron source using differential evolution algorithm

机译:使用差分进化算法优化基于镜像的中子源

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This study is dedicated to the assessment of capabilities of gas-dynamic trap (GDT) and gas-dynamic multiple-mirror trap (GDMT) as potential neutron sources for subcritical hybrids. In mathematical terms the problem of the study has been formulated as determining the global maximum of fusion gain (Q_(pl)), the latter represented as a function of trap parameters. A differential evolution method has been applied to perform the search. Considered in all calculations has been a configuration of the neutron source with 20 m long distance between the mirrors and 100 MW heating power. It is important to mention that the numerical study has also taken into account a number of constraints on plasma characteristics so as to provide physical credibility of searched-for trap configurations. According to the results obtained the traps considered have demonstrated fusion gain up to 0.2, depending on the constraints applied. This enables them to be used either as neutron sources within subcritical reactors for minor actinides incineration or as material-testing facilities.
机译:这项研究致力于评估气动力阱(GDT)和气动力多镜阱(GDMT)作为亚临界混合动力的潜在中子源的能力。用数学术语来说,研究的问题被表述为确定融合增益的全局最大值(Q_(pl)),后者表示为陷阱参数的函数。差分进化方法已被应用于执行搜索。在所有计算中都考虑了一种中子源的配置,其镜面之间的距离为20 m,加热功率为100 MW。值得一提的是,数值研究还考虑了对等离子体特性的许多限制,以提供所寻找阱结构的物理可信度。根据获得的结果,所考虑的陷阱已证明融合增益高达0.2,这取决于所施加的约束。这使它们既可以用作次临界反应堆中的次tron反应堆焚烧的中子源,也可以用作材料测试设施。

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