Name
Title | ||
|---|---|---|
Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence. |
Abstract | ||
|---|---|---|
Particle-laden turbulent flows subject to radiative heating are relevant in many applications, for example concentrated solar power receivers. Efficient and accurate simulations provide valuable insights and enable optimization of such systems. However, as there are many uncertainties inherent in such flows, uncertainty quantification is fundamental to improve the predictive capabilities of the numerical simulations. For large-scale, multi-physics problems exhibiting high-dimensional uncertainty, characterizing the stochastic solution presents a significant computational challenge as most strategies require a large number of high-fidelity solves. This requirement might result in an infeasible number of simulations when a typical converged high-fidelity simulation requires intensive computational resources. To reduce the cost of quantifying high-dimensional uncertainties, we investigate the application of a non-intrusive, bi-fidelity approximation to estimate statistics of quantities of interest associated with an irradiated particle-laden turbulent flow. This method exploits the low-rank structure of the solution to accelerate the stochastic sampling and approximation processes by means of cheaper-to-run, lower fidelity representations. The application of this bi-fidelity approximation results in accurate estimates of the quantities of interest statistics, while requiring a small number of high-fidelity model evaluations. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.jcp.2019.108996 | Journal of Computational Physics |
Keywords | Field | DocType |
Bi-fidelity approximation,Irradiated particle-laden turbulence,Low-rank approximation,Non-intrusive,Predictive computational science,Uncertainty quantification | Small number,Applied mathematics,Mathematical optimization,Fidelity,Concentrated solar power,Uncertainty quantification,Turbulence,Sampling (statistics),Particle,Mathematics | Journal |
Volume | ISSN | Citations |
402 | 0021-9991 | 1 |
PageRank | References | Authors |
0.37 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hillary R. Fairbanks | 1 | 1 | 0.37 |
| Lluís Jofre | 2 | 5 | 1.52 |
| G. Geraci | 3 | 10 | 3.81 |
| Gianluca Iaccarino | 4 | 229 | 23.37 |
| Alireza Doostan | 5 | 188 | 15.57 |