Research on Fluid Flows: Modelling, Numerical Simulations, and Computational Dynamics
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydraulics and Hydrodynamics".
Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 3853
Special Issue Editor
Interests: physical–chemical modelling; physical–statistical modelling; fluid dynamics; thermodynamics; chemical kinetics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Our planet’s fluid constituents, namely, the atmosphere and hydrosphere, make it particularly interesting for us to study fluid dynamics—the motion of gases and liquids. As we live and move within fluid states, we benefit from understanding the nature of flows: the motion through air and water (whether overcoming fluid resistances by, e.g., airplanes, cars or animals, or overcoming the Brownian motion of biochemical molecular aggregates), turbulences (in river flows or in the liquid–gas transition during combustion), passage through microscopic pores (in various membranes, e.g., for desalination, filtering, or obtaining a precise dosage of alcohol), and flow reactors of various kinds (e.g., UV reactors in the ballast water of ships for destruction of viruses and bacteria, enzymatic bioreactors).
Theoretical and modelling methods require suitable approximations; terms in the Navier–Stokes equation are neglected as judged by the nondimensional analysis of relevant forces, fluid stresses are averaged out in turbulent flows, and the compressibility of water is often neglected. Numerically, partial differential equations (PDEs) offer spatial resolution, ODEs track changes in time suitable for well-stirred reactors, and stochastic SDEs are used for uncertainty-driven problems. Validation against experiments is the ultimate test of every model, so statistical methods are used here to quantify differences between simulations and measurements.
In this Special Issue, we plan to showcase a broad scope of fluid problems, from micro- to macrodomains, including (but not limited to) microfluidics, porous flows, and river turbulence. The aim is to feature a variety of useful theoretical and computational methods, including CFD, data-driven grey-box AI models, and perturbative approximations.
Dr. Goran Goranovic
Guest Editor
Manuscript Submission Information
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Keywords
- from micro to macro fluid modelling
- perturbative approximations
- grey-box AI modelling
- CFD
- microfluidics
- porous flows
- turbulence
- flow reactors
