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Numerical analysis of wind-induced vibration on 2D bluff bodies by using the k-omega turbulence model

2011
This paper concerns the influence of turbulence model adopted to numerically predict the aero-elastic phenomena in Fluid Structure Interaction (FSI) problems. After a detailed evaluation of the main suitable turbulence models available in Reynolds Average Navier Stokes (RANS), the two-equation k-turbulent model was identified as the ...
BRUSIANI, FEDERICO   +4 more
openaire   +2 more sources

Self-Similar Solutions of the Model k − ω for a Turbulent Far Wake

Fluid Dynamics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Application of the k-omega turbulence model to estimate the flutter derivatives of a long-span bridge

2011
This paper considers the influence of the turbulence model adopted to numerically predict the aero-elastic phenomena in Fluid Structure Interaction (FSI) problems. After a detailed evaluation of the main suitable turbulence models available in the Reynolds Average Navier Stokes (RANS) approach, the two-equation k-ω turbulent model was identified ...
BRUSIANI, FEDERICO   +4 more
openaire   +1 more source

Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies

Ca-A Cancer Journal for Clinicians, 2022
Paolo Tarantino   +2 more
exaly  

Topology optimization of heat sink in turbulent natural convection using k-ω turbulent model

Applied Mathematical Modelling, 2023
Bin Zhang   +4 more
openaire   +2 more sources

An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

Estimation of the flutter derivatives of a long-span bridge using the k-omega turbulence model

2010
The main focus of this paper is to show the Computational Fluid Dynamic (CFD) potentiality about the possibility to estimate the flutter derivatives of a long-span bridge. The Reynolds Averaged Navier-Stokes (RANS) simulation approach is chosen to perform the computations.
BRUSIANI, FEDERICO   +4 more
openaire   +1 more source

The biofilm life cycle: expanding the conceptual model of biofilm formation

Nature Reviews Microbiology, 2022
Karin Sauer   +2 more
exaly  

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