Uncertainty Quantification of LES for Buoyancy-Driven Mixing Processes Using PCE-HDMR
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-47028-8_36
Reference8 articles.
1. Wenig, P.J., Ji, R., Kelm, S., Klein, M.: Towards uncertainty quantification of LES and URANS for the buoyancy-driven mixing process between two miscible fluids - differentially heated cavity of aspect ratio 4. Fluids 6, 161 (2021). https://doi.org/10.3390/fluids6040161
2. Wenig, P.J., Kelm, S., Klein, M.: CFD uncertainty quantification using stochastic spectral methods - exemplary application to a buoyancy-driven mixing process. Nucl. Eng. Des. 409, 112317 (2023)
3. Jivani, A., et al.: Uncertainty quantification for a turbulent round jet using Multifidelity Karhunen-Loeve Expansions. In: AIAA Scitech 2021 Forum (2021). https://doi.org/10.2514/6.2021-1367
4. Huan, X., et al.: Uncertainty propagation using conditional random fields in large-eddy simulations of scramjet computations. In: AIAA Scitech 2019 Forum (2019). https://doi.org/10.2514/6.2019-0724
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1. CFD Uncertainty Quantification using PCE–HDMR: Exemplary Application to a Buoyancy-Driven Mixing Process;Flow, Turbulence and Combustion;2023-08-18
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