Recent Numerical Advances in Fluid Mechanics

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 complexit...

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Bibliografske podrobnosti
Format:	Online
Jezik:	angleščina
Izdano:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Teme:	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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online dostop:	ONIX_20210501_9783039364022_460
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Opis
Izvleček:	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.

Recent Numerical Advances in Fluid Mechanics

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