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High-fidelity experimental measurements for modeling and simulation of nuclear engineering applications

机译:用于核工程应用建模和仿真的高保真实验测量

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Modeling and simulation performed with advanced tools are important for thorough understanding of existing power plant response to accidents; for life extension decisions of existing plants; and to support licensing activities for new power plants. The use of computational fluid dynamics (CFD) tool in nuclear R&D has gained significantly due to its capabilities to predict complex flow phenomena at very fine resolutions. High-fidelity numerical simulations including direct numerical simulation (DNS) and large-eddy simulation (LES) have been considered as reliable CFD tools for the development and validation of turbulence models along with experiments. Compared to other CFD techniques, DNS is the most computationally expensive approach, and limited to flow studies at low to moderate Reynolds numbers. LES subgrid-scale (SGS) models require the specification of model coefficients that cannot be generally used to simulate a wide spectrum of flows. Performances of LES with modified SGS model coefficients need to be verified and validated versus high-resolution experimental database or DNS results.In this paper, we present the current state-of-the-art experimental measurements in complex geometries of advanced nuclear reactors, such as turbulent flows in wire wrapped fuel bundle for liquid metal reactors and randomly packed beds for gas-cooled and molten-salt reactors. It is important to achieve an in-depth understanding of flow phenomena and complex flow characteristics within these reactor cores because they are related to the safety and design scenarios. High-fidelity experimental measurements of velocity fields are acquired featuring a combination of time-resolved particle image velocimetry (TR-PIV) and matching-index-of-refraction approaches. Experimental results are obtained at high spatial and temporal resolutions of velocity fields and the first- and second-order flow statistics are suitable for the verification and validation of CFD codes currently used in nuclear engineering applications.
机译:使用高级工具进行的建模和仿真对于全面了解现有电厂对事故的响应至关重要。用于现有工厂的延长寿命决策;并支持新电厂的许可活动。由于其能够以非常精细的分辨率预测复杂的流动现象,因此在核研发中使用计算流体动力学(CFD)工具已获得了极大的发展。包括直接数值模拟(DNS)和大涡模拟(LES)在内的高保真数值模拟已被认为是用于开发和验证湍流模型以及进行实验的可靠CFD工具。与其他CFD技术相比,DNS是计算上最昂贵的方法,并且仅限于中低雷诺数的流量研究。 LES次网格规模(SGS)模型要求规范模型系数,而这些模型系数通常不能用于模拟各种流量。相对于高分辨率实验数据库或DNS结果,需要验证和验证具有修改后的SGS模型系数的LES的性能。在本文中,我们介绍了先进核反应堆复杂几何形状中当前的最新实验测量结果在液态金属反应堆的金属丝包裹的燃料束和气体冷却和熔融盐反应堆的随机堆积床中产生湍流。重要的是要深入了解这些反应堆堆芯内的流动现象和复杂的流动特性,因为它们与安全和设计方案有关。结合时间分辨粒子图像测速法(TR-PIV)和折射率匹配指数方法,获得了速度场的高保真实验测量结果。实验结果是在速度场的高空间和时间分辨率下获得的,并且一阶和二阶流统计信息适用于验证和确认当前在核工程应用中使用的CFD代码。

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