| (One intermediate revision by one other user not shown) | |||
| Line 1: | Line 1: | ||
| − | Accepted for publication in ''Archives of Computational Methods in Engineering'', Special Issue: Modeling and Simulation of Infectious Diseases, 2021<br> | + | Accepted for publication in ''Archives of Computational Methods in Engineering'', Special Issue: Modeling and Simulation of Infectious Diseases, Vol. 28, pp. 4185–4204, 2021<br> |
DOI: [https://link.springer.com/article/10.1007/s11831-021-09614-6 10.1007/s11831-021-09614-6] | DOI: [https://link.springer.com/article/10.1007/s11831-021-09614-6 10.1007/s11831-021-09614-6] | ||
| Line 5: | Line 5: | ||
A multiscale approach for the detailed simulation of water droplets dispersed in a turbulent airflow is presented. The multiscale procedure combines a novel representative volume element (RVE) with the Pseudo Direct Numerical Simulation (P-DNS) method. The solution at the coarse-scale relies on a synthetic model, constructed using precomputed offline RVE simulations and an alternating digital tree, to characterize the non-linear dynamic response at the fine-scale. A set of numerical experiments for a wide range of volume fractions, particle distribution sizes, and external shear forces in the RVE are carried out. Quantitative results of the statistically stationary turbulent state are obtained, and the turbulence modulation phenomenon due to the presence of droplets is discussed. The developed synthetic model is then employed to solve global scale simulations of flows with airborne droplets via the P-DNS method. Improved predictions are obtained for flow conditions where turbulence modulation is noticeable. | A multiscale approach for the detailed simulation of water droplets dispersed in a turbulent airflow is presented. The multiscale procedure combines a novel representative volume element (RVE) with the Pseudo Direct Numerical Simulation (P-DNS) method. The solution at the coarse-scale relies on a synthetic model, constructed using precomputed offline RVE simulations and an alternating digital tree, to characterize the non-linear dynamic response at the fine-scale. A set of numerical experiments for a wide range of volume fractions, particle distribution sizes, and external shear forces in the RVE are carried out. Quantitative results of the statistically stationary turbulent state are obtained, and the turbulence modulation phenomenon due to the presence of droplets is discussed. The developed synthetic model is then employed to solve global scale simulations of flows with airborne droplets via the P-DNS method. Improved predictions are obtained for flow conditions where turbulence modulation is noticeable. | ||
| + | |||
| + | |||
| + | <pdf>Media:Gimenez_et_al_2021a_2459_s11831-021-09614-6.pdf</pdf> | ||
Latest revision as of 14:13, 2 October 2024
Accepted for publication in Archives of Computational Methods in Engineering, Special Issue: Modeling and Simulation of Infectious Diseases, Vol. 28, pp. 4185–4204, 2021
DOI: 10.1007/s11831-021-09614-6
Abstract
A multiscale approach for the detailed simulation of water droplets dispersed in a turbulent airflow is presented. The multiscale procedure combines a novel representative volume element (RVE) with the Pseudo Direct Numerical Simulation (P-DNS) method. The solution at the coarse-scale relies on a synthetic model, constructed using precomputed offline RVE simulations and an alternating digital tree, to characterize the non-linear dynamic response at the fine-scale. A set of numerical experiments for a wide range of volume fractions, particle distribution sizes, and external shear forces in the RVE are carried out. Quantitative results of the statistically stationary turbulent state are obtained, and the turbulence modulation phenomenon due to the presence of droplets is discussed. The developed synthetic model is then employed to solve global scale simulations of flows with airborne droplets via the P-DNS method. Improved predictions are obtained for flow conditions where turbulence modulation is noticeable.
Document information
Published on 01/01/2021
DOI: 10.1007/s11831-021-09614-6
Licence: CC BY-NC-SA license
Share this document
claim authorship
Are you one of the authors of this document?