Investigation on the nonintrusive multi-fidelity reduced-order modeling for PWR rod bundles |
Kang, Huilun
(Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University)
Tian, Zhaofei (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) Chen, Guangliang (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) Li, Lei (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) Chu, Tianhui (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) |
1 | Y. Sun, J. Yang, Y.-H. Wang, Z. Li, Y. Ma, A POD reduced-order model for resolving the neutron transport problems of nuclear reactor, Ann. Nucl. Energy 149 (2020) 107799. DOI |
2 | L. Vergari, A. Cammi, S. Lorenzi, Reduced order modeling approach for parametrized thermal-hydraulics problems: inclusion of the energy equation in the POD-FV-ROM method, Prog. Nucl. Energy 118 (2020) 103071. DOI |
3 | M. Conner, Y. Hassan, E. Dominguez-Ontiveros, Hydraulic benchmark data for PWR mixing vane grid, Nucl. Eng. Des. 264 (2013) 97-102. DOI |
4 | B. Liu, S. He, C. Moulinec, J. Uribe, Sub-channel CFD for nuclear fuel bundles, Nucl. Eng. Des. 355 (2019) 110318. DOI |
5 | G. Fernandez, C. Park, N. Kim, R. Haftka, Review of multi-fidelity models, arXiv preprint arXiv:1609.07196 (2016). https://www.researchgate.net/publication/315486356_Review_of_multi-fidelity_models/citations. |
6 | F. Alsayyari, M. Tiberga, Z. Perko, D. Lathouwers, J. Kloosterman, A nonintrusive adaptive reduced order modeling approach for a molten salt reactor system, Ann. Nucl. Energy 141 (2020). |
7 | D. Alonso, A. Velazquez, J. Vega, Robust reduced order modeling of heat transfer in a back step flow, Int. J. Heat Mass Tran. 52 (2009) 1149-1157. DOI |
8 | A. Forrester, A. Sobester, A. Keane, Engineering Design via Surrogate Modelling, A Practical Guide, 2008. |
9 | E. Minisci, M. Vasile, Robust design of a reentry unmanned space vehicle by multifidelity evolution control, AIAA J. 51 (2013) 1284-1295. DOI |
10 | B. Noack, From snapshots to modal expansions - bridging low residuals and pure frequencies, J. Fluid Mech. 802 (2016) 1-4. DOI |
11 | Z. Karoutas, C.Y. Gu, B. Scholin, 3-D flow analyses for design of nuclear fuel spacer, Proceedings of the Seventh International Meeting on Nuclear Reactor Thermal-Hydraulics (1995) 3153-3174. |
12 | C.C. Liu, Y.-M. Ferng, C.K. Shih, CFD evaluation of turbulence models for flow simulation of the fuel rod bundle with a spacer assembly, Appl. Therm. Eng. 40 (2012) 389-396. DOI |
13 | M.D. McKay, R.J. Beckkman, W. Conover, Comparison of three methods for selecting values of input variables in the analysis of output from a computer code, Technometrics 21 (2000) 266-294. |
14 | ANSYS Inc, ANSYS Fluent Customization Manual. USA, 2016. |
15 | M. Wang, Y. Wang, X.I. Tian, S.Z. Qiu, G. Su, Recent progress of CFD applications in PWR thermal hydraulics study and future directions, Ann. Nucl. Energy 150 (2021) 107836. DOI |
16 | G. Chen, Z. Zhang, Z. Tian, X. Dong, Y. Wang, CFD simulation for the optimal design and utilization of experiment to research the flow process in PWR, Ann. Nucl. Energy 94 (2016) 1-9. DOI |
17 | G. Chen, Z. Zhang, Z. Tian, L. Li, X. Dong, H. Ju, Design of a CFD scheme using multiple RANS models for PWR, Ann. Nucl. Energy 102 (2017) 349-358. DOI |
18 | S. Bhattacharjee, G. Ricciardi, S. Viazzo, Comparative study of the contribution of various PWR spacer grid components to hydrodynamic and wall pressure characteristics, Nucl. Eng. Des. 317 (2017) 22-43. DOI |
19 | B.-W. Yang, B. Han, A. Liu, S. Wang, Recent challenges in subchannel thermalhydraulics-CFD modeling, subchannel analysis, CHF experiments, and CHF prediction, Nucl. Eng. Des. 354 (2019) 110236. DOI |
20 | X. Wang, J. Kou, W. Zhang, Multi-fidelity surrogate reduced-order modeling of steady flow estimation, Int. J. Numer. Methods Fluid. (2020) 92. DOI |
21 | M.J. Mifsud, D. MacManus, S. Shaw, A Variable-Fidelity Aerodynamic Model Using Proper Orthogonal Decomposition, 2016. |
22 | M. Zarei, On a reduced order modeling of the nuclear reactor dynamics, Appl. Math. Comput. (2020) 393. DOI |
23 | S. Chang, K. Sang, Moon, D. Bok, T. Kim, P. Won, W.-P. Baek, Y. Choi, Phenomenological investigations on the turbulent flow structures in a rod bundle array with mixing devices, Nuclear Engineering and Design - NUCL ENG DES (2008) 238. |
24 | S. Lorenzi, A. Cammi, L. Luzzi, G. Rozza, POD-Galerkin method for finite volume approximation of Navier-Stokes and RANS equations, Comput. Methods Appl. Mech. Eng. (2016) 311. |
25 | R. Chen, J. Xu, S. Zhang, C.-H. Chen, L.H. Lee, An Effective Learning Procedure for Multi-Fidelity Simulation Optimization with Ordinal Transformation, 2015. |
26 | M. Fossati, W. Habashi, Multiparameter analysis of aero-icing problems using proper orthogonal decomposition and multidimensional interpolation, AIAA J. 51 (2013) 946-960. DOI |
27 | A. Ayodeji, Z. Wang, W. Wang, W. Qin, C. Yang, S. Xu, X. Liu, Causal augmented ConvNet: a temporal memory dilated convolution model for long-sequence time series prediction, ISA Trans. (2021). |
28 | M. Holloway, D. Beasley, M. Conner, Investigation of swirling flow in rod bundle subchannels using computational fluid dynamics, international conference on nuclear engineering, Proceedings, ICONE (2006) 2006. |
29 | F. Wiltschko, W. Qu, J. Xiong, Validation of RANS models and Large Eddy simulation for predicting crossflow induced by mixing vanes in rod bundle, Nuclear Engineering and Technology 53 (2021) 3625-3634. DOI |
30 | L. Xiaochang, Y. Gao, Methods of simulating large-scale rod bundle and application to a 17 × 17 fuel assembly with mixing vane spacer grid, Nucl. Eng. Des. 267 (2014) 10-22. DOI |
31 | G. Chen, J. Wang, Z. Zhang, Z. Tian, L. Li, H. Kang, Y. Jin, Distributed-parallel CFD computation for all fuel assemblies in PWR core, Ann. Nucl. Energy 141 (2020) 107340. DOI |