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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.1
- 수록면
- 1,219 - 1,225 (7page)
이용수
초록· 키워드
오류제보하기
In this work, a scalable algorithm for model calibration in nuclear engineering applications is presentedand tested. The algorithm relies on the construction of surrogate models to replace the original modelwithin the region of interest. These surrogate models can be constructed efficiently via reduced ordermodeling and subspace analysis. Once constructed, these surrogate models can be used to performcomputationally expensive mathematical analyses. This work proposes a surrogate based model calibrationalgorithm. The proposed algorithm is used to calibrate various neutronics and thermal-hydraulicsparameters. The virtual environment for reactor applications-core simulator (VERA-CS) is used tosimulate a three-dimensional core depletion problem. The proposed algorithm is then used to constructa reduced order model (a surrogate) which is then used in a Bayesian approach to calibrate the neutronicsand thermal-hydraulics parameters. The algorithm is tested and the benefits of data assimilationand calibration are highlighted in an uncertainty quantification study and requantification after thecalibration process. Results showed that the proposed algorithm could help to reduce the uncertainty inkey reactor attributes based on experimental and operational data.
목차
등록된 정보가 없습니다.
참고문헌 (10)
참고문헌 신청
A. Godfrey / 2014 / VERA Core Physics Benchmark Progression Problem Specifications, Revision 4
B. A. A. Khuwaileh / 2015 / Scalable Methods for Uncertainty Quantification, Data Assimilation and Target Accuracy Assessment for Multi-Physics Advanced Simulation of Light Water Reactor
B. A. Khuwaileh / 2015 / Uncertainty Quantification Analysis Using VERA-CS for a PWR Fuel Assembly with Depletion
B. M. Adams / 2014 / DAKOTA, a Multilevel Parallel Objectoriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6
H. Haario / 2001 / An adaptive Metropolis algorithm / Bernoulli 7 : 223 ~ 242
B. A. A. Khuwaileh / 2015 / Scalable Methods for Uncertainty Quantification, Data Assimilation and Target Accuracy Assessment for Multi-Physics Advanced Simulation of Light Water Reactor
B. A. Khuwaileh / 2015 / Uncertainty Quantification Analysis Using VERA-CS for a PWR Fuel Assembly with Depletion
B. M. Adams / 2014 / DAKOTA, a Multilevel Parallel Objectoriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6
H. Haario / 2001 / An adaptive Metropolis algorithm / Bernoulli 7 : 223 ~ 242
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