Current Problems and Advances in Computational and Applied Mechanics

Advances in computational solid and fluid mechanics have led to significant developments in a large variety of fields, including engineering, physics, and medicine. Computational mechanics offers design flexibility, sophistication, and experimentation, enabling engineers to analyse complex design pr...

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Detalhes bibliográficos
Autor Corporativo: Skatulla, Sebastian
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2024
Assuntos:
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general
packed bed
porosity
sphere
cylindrical plane
intersection area
numerical integration
cardiovascular 0D model
pulmonary arterial pressure
gradient-based optimization
automatic differentiation
elliptic–parabolic system
leaf venation
Darcy’s law
finite differences scheme
semi-implicit scheme
symmetric ADI method
hydrocyclone
surging
computational fluid dynamics
granular dynamics
air-core
discrete element method
corrugated cardboard
panel compression
digital image correlation
finite element analysis
treatment effects
counterfactuals
confounding
linear complex
cell
polyhedral partition
topological modeling
topological tables
topology
neighborhood
error compensation
out-of-plane motion
strain gauges
full-field strain data
advancing ratio
noise acoustics
sound pressure level
vortex shedding
OpenFOAM
gas-solid reactions
fictitious domain
hydrogen reduction
homogenisation
corrugated paperboard
optimisation
finite element
reduced-order-modelling
soft robot
hierarchical design framework
soft actuator
pneumatic network
pressure drop
separation efficiency
split water ratio
vortex finder length
generalized finite difference (GFD)
meshless Lagrangian method (MLM)
incompressible
multiphase
high density ratio
deep learning
physics-informed neural networks
thermofluid process modeling
pneumatic soft robot
reduced-order model
Encapsulation, Syllabus, and Pandamonium
generalizedfinite difference (GFD)
atomization
spectral analysis
fast Fourier transform
surrogate models
gradient enhanced
compliant mechanisms
ultrasonic guided waves
inspection data
welded rail track
fluid–structure interactions
preconditioners
parallel solver
multiphysics
plasma
gasification
Physics-Informed Neural Networks
Computational Fluid Dynamics
aortic valve
valvular stenosis
turbulent flow
CFD
flow-induced acoustics
pulmonary disease
vocalization
Lindenmayer system
compositional pattern producing network
generative design
sintering model
standard dissipative continua
temporal integration
finite element method
mirror stereoscope
virtual reality
binocular rivalry
dichoptic vision
perceptual dominance
inverse finite element analysis
hyperelastic
Mooney–Rivlin
material characterization
subject-specific modeling
rheumatic heart diseases
finite element modeling
elastic material parameters
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/139252
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