Research on the Physical Modelling for the Subchannel Analysis of PWR Core

Chen, Guangliang; Dong, Xiaomeng; Li, Lei; Hu, Peizheng; Appah, Thompson; Tian, Zhilong; Zhang, Zhijian

doi:10.1115/icone26-81231

Cited by 1 publication

(1 citation statement)

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“…A previous study [7] has focused on the meshing scheme, numerical calculation method, turbulence model, and boundary condition setting of the coolant area for the 5×5 rod bundle model, main settings are shown in Table 1. For CFD simulation, unstructured mesh was generated, which contains 3172362 cells in total.…”

Section: Parameter Settingmentioning

confidence: 99%

Uncertainty analysis and visualization for a coupled thermohydraulics-neutronics simulation by deterministic sampling

Yang

Huang

Tian

et al. 2022

J. Phys.: Conf. Ser.

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Uncertainty quantification and sensitivity analysis by deterministic sampling is performed on a thermohydraulics-neutronics coupling simulation of a 5×5 rod bundle in pressurized water reactor. Thermohydraulics calculation is conducted by a CFD simulation and neutronics calculation is conducted by method of characteristic (MOC). The coupling simulation of CFD and MOC, together with large number of calculations needed by random sampling in uncertainty quantification, leads to high computational cost. Therefore, deterministic sampling is introduced in this study and proves its efficiency. Moreover, the calculated results usually have some distribution pattern on the selected section, using mass average value as output is unable to reflect the distribution feature. Therefore, a method realized by Python program is introduced to perform uncertainty quantification and sensitivity analysis of the outputs on the outlet section in fine-mesh level. It is found that the uncertainty of outputs and the inputs’ impact on outputs vary in different areas at the outlet section.

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Section: Parameter Settingmentioning

confidence: 99%