Recent Numerical Advances in Fluid Mechanics
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TextLanguage: English Publication details: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020Description: 1 online resource (302 p.)Content type: - text
- computer
- online resource
- 9783039364022
- 9783039364039
- books978-3-03936-403-9
- History of engineering and technology
- Abaqus Finite Element Analysis (FEA)
- adaptive filter
- Arbitrary Lagrangian Eulerian
- backward-facing step
- body fitted
- buildings
- closure model
- coherent structures
- compressible flow
- computational aerodynamics
- computational fluid dynamics
- computational fluid dynamics (CFD) simulation
- crater dimensions
- cubic B-spline basis functions
- deep residual neural network
- explicit filtering
- explicit time integration
- finite element method (FEM)
- fluid-structure interaction
- Galerkin method
- Galerkin projection
- heat transfer
- hydraulic fracturing
- immersed boundary
- internal combustion engines
- jet
- Kolmogorov n-width
- Kutta condition
- Large Eddy Simulation (LES)
- large eddy simulations (LES)
- LES
- liquid-cooling system
- meshless point collocation method
- monolithic method
- multiple drop impact
- n/a
- non-linear Schrödinger equation
- OpenFOAM
- PIV
- pollution dispersion
- pressure tunnel
- proper orthogonal decomposition
- RANS closures
- reduced order model
- reduced order modeling
- Reynolds stress tensor
- separated flow
- shock capturing
- stream function
- stream function-vorticity formulation
- strong form
- transient flow
- transient incompressible Navier-Stokes
- turbulence
- turbulent flows
- uncertainty quantification
- Updated Lagrangian
- urban area
- variational multiscale method
- vector flow fields
- volume-of-fluid
- vorticity
- wall layer model
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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.
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