Use of massively parallel computing to improve modelling accuracy within the nuclear sector
Use of massively parallel computing to improve modelling accuracy within the nuclear sector
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DOI：
10.21152/1750-9548.10.2.215
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
L. Evans;J. D. Arregui-Mena;P. Mummery;R. Akers;E. Surrey;A. Shterenlikht;M. Broggi;L. Margetts
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文献类型：
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作者：
L. Evans;J. D. Arregui-Mena;P. Mummery;R. Akers;E. Surrey;A. Shterenlikht;M. Broggi;L. Margetts
在核部门发现的极端环境对建模分析施加了很大的安全因素，以确保组件以预期的方式运行。提高分析精度具有明显的增加设计空间的价值，这可能导致更高的效率和可靠性。用于新反应堆设计的新材料通常表现出非线性行为;此外，由于在役损伤，材料特性会发生变化，这一组合很难准确建模。为了更好地描述这些复杂的行为，正在开发一系列以前由于计算费用而不受重视的建模技术。本文介绍了三种技术的最新进展：不确定性量化（UQ）;元胞自动机有限元（CAFE）;基于图像的有限元方法（IBFEM）。案例研究表明其适用于核工程的并行计算硬件的进步，预计将在未来十年内可用于工业成本的顺序为10万美元。
The extreme environments found within the nuclear sector impose large safety factors on modelling analyses to ensure components operate in their desired manner. Improving analysis accuracy has clear value of increasing the design space that could lead to greater efficiency and reliability. Novel materials for new reactor designs often exhibit non-linear behaviour; additionally material properties evolve due to in-service damage a combination that is difficult to model accurately. To better describe these complex behaviours a range of modelling techniques previously under-pursued due to computational expense are being developed. This work presents recent advancements in three techniques: Uncertainty quantification (UQ); Cellular automata finite element (CAFE); Image based finite element methods (IBFEM). Case studies are presented demonstrating their suitability for use in nuclear engineering made possible by advancements in parallel computing hardware that is projected to be available for industry within the next decade costing of the order of $100k.