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Book
Physical and Mathematical Fluid Mechanics
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Fluid mechanics has emerged as a basic concept for nearly every field of technology. Despite a well-developed mathematical theory and available commercial software codes, the computation of solutions of the governing equations of motion is still challenging, especially due to the nonlinearity involved, and there are still open questions regarding the underlying physics of fluid flow, especially with respect to the continuum hypothesis and thermodynamic local equilibrium. The aim of this book is to reference recent advances in the field of fluid mechanics, both in terms of developing sophisticated mathematical methods for finding solutions to the equations of motion, on the one hand, and presenting novel approaches to the physical modeling, on the other hand. A wide range of topics is addressed, including general topics like formulations of the equations of motion in terms of conventional and potential fields; variational formulations, both deterministic and statistic, and their application to channel flows; vortex dynamics; flows through porous media; and also acoustic waves through porous media


Book
Recent Numerical Advances in Fluid Mechanics
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Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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In recent decades, the field of computational fluid dynamics has made significant advances in enabling advanced computing architectures to understand many phenomena in biological, geophysical, and engineering fluid flows. Almost all research areas in fluids use numerical methods at various complexities: from molecular to continuum descriptions; from laminar to turbulent regimes; from low speed to hypersonic, from stencil-based computations to meshless approaches; from local basis functions to global expansions, as well as from first-order approximation to high-order with spectral accuracy. Many successful efforts have been put forth in dynamic adaptation strategies, e.g., adaptive mesh refinement and multiresolution representation approaches. Furthermore, with recent advances in artificial intelligence and heterogeneous computing, the broader fluids community has gained the momentum to revisit and investigate such practices. This Special Issue, containing a collection of 13 papers, brings together researchers to address recent numerical advances in fluid mechanics.

Keywords

fluid–structure interaction --- monolithic method --- Updated Lagrangian --- Arbitrary Lagrangian Eulerian --- computational aerodynamics --- Kutta condition --- compressible flow --- stream function --- non-linear Schrödinger equation --- cubic B-spline basis functions --- Galerkin method --- pressure tunnel --- hydraulic fracturing --- transient flow --- finite element method (FEM) --- Abaqus Finite Element Analysis (FEA) --- computational fluid dynamics --- RANS closures --- uncertainty quantification --- Reynolds stress tensor --- backward-facing step --- OpenFOAM --- large eddy simulations (LES) --- shock capturing --- adaptive filter --- explicit filtering --- jet --- proper orthogonal decomposition --- coherent structures --- turbulence --- vector flow fields --- PIV --- buildings --- urban area --- pollution dispersion --- Large Eddy Simulation (LES) --- multiple drop impact --- computational fluid dynamics (CFD) simulation --- volume-of-fluid --- crater dimensions --- vorticity --- transient incompressible Navier-Stokes --- meshless point collocation method --- stream function-vorticity formulation --- strong form --- explicit time integration --- wall layer model --- LES --- separated flow --- body fitted --- immersed boundary --- reduced order modeling --- Kolmogorov n-width --- Galerkin projection --- turbulent flows --- reduced order model --- closure model --- variational multiscale method --- deep residual neural network --- internal combustion engines --- liquid-cooling system --- heat transfer --- n/a --- fluid-structure interaction --- non-linear Schrödinger equation

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