Multi-Fidelity Uncertainty Quantification of Particle Deposition in Turbulent Pipe Flow

@article{Yao2022MultiFidelityUQ,
  title={Multi-Fidelity Uncertainty Quantification of Particle Deposition in Turbulent Pipe Flow},
  author={Yuan Yao and Xun Huan and Jesse Capecelatro},
  journal={SSRN Electronic Journal},
  year={2022}
}
Particle deposition in fully-developed turbulent pipe flow is quantified taking into account uncertainty in electric charge, van der Waals strength, and temperature effects. A framework is presented for obtaining variance-based sensitivity in multiphase flow systems via a multi-fidelity Monte Carlo approach that optimally manages model evaluations for a given computational budget. The approach combines a high-fidelity model based on direct numerical simulation and a lower-order model based on a… 

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