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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| Formaat: | Online |
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| Taal: | Engels |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online toegang: | ONIX_20210501_9783039364022_460 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-68714 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-687142024-04-11T15:10:17Z Recent Numerical Advances in Fluid Mechanics San, Omer 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 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. 2021-05-01T15:27:26Z 2021-05-01T15:27:26Z 2020 book ONIX_20210501_9783039364022_460 9783039364022 9783039364039 https://directory.doabooks.org/handle/20.500.12854/68714 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2480 https://mdpi.com/books/pdfview/book/2480 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-403-9 10.3390/books978-3-03936-403-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039364022 9783039364039 302 Basel, Switzerland open access |
| spellingShingle | 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 Recent Numerical Advances in Fluid Mechanics |
| title | Recent Numerical Advances in Fluid Mechanics |
| title_full | Recent Numerical Advances in Fluid Mechanics |
| title_fullStr | Recent Numerical Advances in Fluid Mechanics |
| title_full_unstemmed | Recent Numerical Advances in Fluid Mechanics |
| title_short | Recent Numerical Advances in Fluid Mechanics |
| title_sort | recent numerical advances in fluid mechanics |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20210501_9783039364022_460 |