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AREVA NP's industrial CFD single-phase methodology and applications for nuclear fuel

机译:AREVA NP的工业CFD单相方法和核燃料应用

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During the course of the last decade, AREVA NP has developed Computational Fluid Dynamics (CFD) methods capable of accurately predicting flow fields and thermal mixing within fuel bundles, as well as pressure losses and hydrodynamic forces on fuel assembly components such as spacer grids, lower and upper nozzles. The present work summarizes the evolution of AREVA NP's single-phase CFD methodology and the extensive validation efforts, with focus on improving confidence level in CFD results. Currently, it is possible to produce models for large sections of a fuel assembly and produce CFD simulation results with an uncertainty proven to be similar to the corresponding measurement uncertainty Extensive validation has been conducted against in-house data obtained for a wide range of geometries representative of actual hardware, in multiple test facilities, with various measurement techniques. In addition to in-house validation data, AREVA NP has also exercised its best-practices against international benchmarks, blind test results were in very good agreement with the data The current high level of confidence in single-phase CFD predictions allows investigating a wide variety of physics in Pressurized Water Reactor (PWR) as well as Boiling Water Reactor (BWR) fuel assemblies CFD is used as a design and optimization tool as well as a supplement to regular testing to improve the quality of tests and optimize hardware design features for specific targets CFD played a major role in the design of AREVA NP's latest fuel assembly designs (ATRIUM~(™) 11 and GAIA) In this paper we first illustrate AREVA NP's comprehensive validation database for single-phase CFD (pressure drop, flow field), then provide several examples of applications' virtual testing for parts optimization and support of core operation
机译:在过去的十年中,AREVA NP开发了计算流体动力学(CFD)方法,能够准确预测燃料束中的流场和热混合,以及降低燃油压力和流体动力,例如隔板等。和上喷嘴。本工作总结了AREVA NP单相CFD方法的发展以及广泛的验证工作,重点是提高CFD结果的置信度。当前,可以为大型燃料组件生产模型,并产生CFD模拟结果,其不确定性被证明与相应的测量不确定性相似。已经针对各种几何形状的内部数据进行了广泛的验证。具有多种测量技术的多种测试设备中的实际硬件。除了内部验证数据外,AREVA NP还根据国际基准采用了最佳实践,盲测结果与数据非常吻合。目前对单相CFD预测的高度信心使得可以进行广泛的调查压水堆(PWR)和沸水堆(BWR)燃料组件中的物理学博士学位CFD被用作设计和优化工具,并作为常规测试的补充,以提高测试的质量并针对特定硬件优化硬件设计功能目标CFD在AREVA NP的最新燃料组件设计(ATRIUM〜(TM)11和GAIA)的设计中起着主要作用。在本文中,我们首先说明了AREVA NP的单相CFD(压降,流场)的综合验证数据库,然后提供一些应用程序虚拟测试示例,以进行零件优化和核心操作支持

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