LEADER 04418nam 2201069z- 450 001 9910557406603321 005 20231214133501.0 035 $a(CKB)5400000000043610 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68714 035 $a(EXLCZ)995400000000043610 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Numerical Advances in Fluid Mechanics 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (302 p.) 311 $a3-03936-402-2 311 $a3-03936-403-0 330 $aIn 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. 606 $aHistory of engineering & technology$2bicssc 610 $afluid-structure interaction 610 $amonolithic method 610 $aUpdated Lagrangian 610 $aArbitrary Lagrangian Eulerian 610 $acomputational aerodynamics 610 $aKutta condition 610 $acompressible flow 610 $astream function 610 $anon-linear Schro?dinger equation 610 $acubic B-spline basis functions 610 $aGalerkin method 610 $apressure tunnel 610 $ahydraulic fracturing 610 $atransient flow 610 $afinite element method (FEM) 610 $aAbaqus Finite Element Analysis (FEA) 610 $acomputational fluid dynamics 610 $aRANS closures 610 $auncertainty quantification 610 $aReynolds stress tensor 610 $abackward-facing step 610 $aOpenFOAM 610 $alarge eddy simulations (LES) 610 $ashock capturing 610 $aadaptive filter 610 $aexplicit filtering 610 $ajet 610 $aproper orthogonal decomposition 610 $acoherent structures 610 $aturbulence 610 $avector flow fields 610 $aPIV 610 $abuildings 610 $aurban area 610 $apollution dispersion 610 $aLarge Eddy Simulation (LES) 610 $amultiple drop impact 610 $acomputational fluid dynamics (CFD) simulation 610 $avolume-of-fluid 610 $acrater dimensions 610 $avorticity 610 $atransient incompressible Navier-Stokes 610 $ameshless point collocation method 610 $astream function-vorticity formulation 610 $astrong form 610 $aexplicit time integration 610 $awall layer model 610 $aLES 610 $aseparated flow 610 $abody fitted 610 $aimmersed boundary 610 $areduced order modeling 610 $aKolmogorov n-width 610 $aGalerkin projection 610 $aturbulent flows 610 $areduced order model 610 $aclosure model 610 $avariational multiscale method 610 $adeep residual neural network 610 $ainternal combustion engines 610 $aliquid-cooling system 610 $aheat transfer 615 7$aHistory of engineering & technology 700 $aSan$b Omer$4edt$01323764 702 $aSan$b Omer$4oth 906 $aBOOK 912 $a9910557406603321 996 $aRecent Numerical Advances in Fluid Mechanics$93035826 997 $aUNINA