A rapid simulation of nano-particle transport in a two-dimensional human airway using POD/Galerkin reduced-order models

2015 ◽  
Vol 105 (7) ◽  
pp. 514-531 ◽  
Author(s):  
N. H. Nguyen
Keyword(s):  
Particle Transport ◽  
Reduced Order Models ◽  
Two Dimensional ◽  
Nano Particle ◽  
Reduced Order ◽  
Human Airway

Reduced order models for a two-dimensional heat diffusion system

2004 ◽  
Vol 77 (18) ◽  
pp. 1532-1548 ◽  
Author(s):  
Bharath Bhikkaji * ◽  
Kaushik Mahata ◽  
Torsten Söderström
Keyword(s):  
Diffusion System ◽  
Heat Diffusion ◽  
Reduced Order Models ◽  
Two Dimensional ◽  
Reduced Order

Vortex Induced Vibration of Circular Cylinder With Two Degrees of Freedom: Computational Fluid Dynamics vs. Reduced-Order Models

2013 ◽  
Author(s):  
Enhao Wang ◽  
Qing Xiao ◽  
Narakorn Srinil ◽  
Hossein Zanganeh
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Circular Cylinder ◽  
Degrees Of Freedom ◽  
Cross Flow ◽  
Reduced Order Models ◽  
Two Dimensional ◽  
Two Degrees Of Freedom ◽  
Reduced Order ◽  
Dual Resonance

Computational fluid dynamics (CFD) studies capturing vortex-induced vibration (VIV) phenomena in a wide range of both the hydrodynamics and the structural parameters are important, because the analysis outcomes can be applied to numerical prediction codes, complement experimental measurement results and suggest a modification of some practical design guidelines. Nevertheless, in spite of many published studies on VIV, CFD studies for two dimensional coupled cross-flow/in-line VIV even with two degrees of freedom (2-DoF), are still quite limited. More CFD studies which can control the equivalence of system fluid-structure parameters in different directions with reduced uncertainty are needed to improve the numerical model empirical coefficients and capability to effectively match numerical predictions and experimental outcomes. This paper presents a CFD study on the 2-DoF VIV of elastically mounted circular cylinder with a low mass ratio (m* = 2.55). The Reynolds number is fixed to be 150 and the reduced flow velocity parameter is varied by changing the cross-flow natural frequency. To model the problem, two-dimensional Navier-Stokes equations coupled with linear structural equations in the in-line and cross-flow directions are solved. Particular attention is paid to the determination of maximum attainable amplitudes and the associated instantaneous lift and drag forces and hydrodynamic coefficients. These results are compared with the obtained results from alternative numerical prediction outcomes using new reduced-order models with four nonlinearly coupled wake-structure oscillators (Srinil and Zanganeh, 2012). Some qualitative and quantitative aspects are discussed. Overall, the important VIV characteristics are captured including the dual-resonance and figure-of-eight trajectories. Through the flow visualization study, it is found that as the dual-resonance is excited, a P+S wake pattern appears.

Reduced Order Models of Low Mach Number Isothermal Flows in Microchannels

2013 ◽  
Author(s):  
Leila Issa ◽  
Issam Lakkis
Keyword(s):  
Mach Number ◽  
Analog Circuit ◽  
Stokes Equations ◽  
Momentum Equation ◽  
Ideal Gas ◽  
Reduced Order Models ◽  
Two Dimensional ◽  
Reduced Order ◽  
Low Mach Number ◽  
Circuit Components

We present reduced order models of unsteady low Mach number isothermal ideal gas flows in two-dimensional rectangular microchannels subject to first order slip boundary conditions. The Navier-Stokes equations are simplified using Low Mach Number expansions of the pressure and velocity fields. This approximation allows decoupling the density from spatial pressure variations, thus simplifying the momentum equation. The resulting diffusion equation and the subsequent pressure-flow-rate relationship enables modeling the flow using analog circuit components. The accuracy of the proposed models is investigated for steady and unsteady flows in a two-dimensional channel for different values of Reynolds and Knudsen numbers.

Reduced-order models of structures with viscoelastic components

AIAA Journal ◽  
1999 ◽  
Vol 37 ◽  
pp. 1318-1325 ◽  
Author(s):  
Michael I. Friswell ◽  
Daniel J. Inman
Keyword(s):  
Reduced Order Models ◽  
Reduced Order
Sign in / Sign up

Export Citation Format

Share Document