研究论文
A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing
Christopher J. Roy, William L. Oberkampf
Virginia Tech
来源Computer Methods in Applied Mechanics and Engineering
年份2011
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计算机 / AIProbabilistic and Robust Engineering Design
Computational Fluid Dynamics and Aerodynamics · Nuclear Engineering Thermal-Hydraulics
参考文献 52
Probabilistic Techniques in Exposure Assessment: A Handbook for Dealing with Variability and Uncertainty in Models and Inputs
被引 618Alison C. Cullen, H. Christopher Frey · 1999
General Concepts for Experimental Validation of ASCI Code Applications
被引 106TIMOTHY TRUCANO, M. Pilch, William L. Oberkampf · 2002
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被引 463Bert Blocken, T. Stathopoulos, J. P. A. J. van Beeck · Building and Environment · 2016
Quantification of model uncertainty in RANS simulations: A review
被引 440Heng Xiao, Paola Cinnella · Progress in Aerospace Sciences · 2019
Digital twin, physics-based model, and machine learning applied to damage detection in structures
被引 362Thiago Ritto, Fernando A. Rochinha · Mechanical Systems and Signal Processing · 2021
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