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Because of the velocity-slip assumption, corresponding convection studies for inert beds rely on a temperature-slip boundary condition to predict experimental data.
In addition, if a growth function f(t) of this form is given, we can also use this boundary condition to predict whether LV geometry and wall thickness will monotonically increase or not.
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Based on the 2D approach, a 2D transfer matrix method (TMM) is developed through solving the acoustical continuity functions under two outlet boundary conditions to predict the acoustic performances of multi-chamber perforated resonators (MCPRs) which can attenuate broadband noise.
The proposed neural structure is self-governing to decide initial and boundary conditions to predict real-time flow discharge.
The developed theory adequately models open and closed circuit electric boundary conditions to accurately predict the response.
The results demonstrate the capability of the developed theory to adequately model open and closed circuit electric boundary conditions to accurately predict their influence on the response.
The present paper deals with development of the synthetic turbulence inflow boundary condition (STIBC) to predict inflow broadband noise generated by interaction between turbulence and an airfoil/a cascade of airfoils in the time-domain.
These obtained results might be of use for applications related to solids with cracks and contacts showing acoustical nonlinearity, and for any modeling requiring physics-based boundary conditions to describe and predict the effect of mechanical contacts with friction.
We set the boundary condition to be C ({ x } ) = 0.
The inverse spectral transform is numerically implemented to analyze arbitrary initial data for the Korteweg-de Vries equation with periodic boundary conditions and to predict the wave field at any point in space-time without integration.
All the boundary conditions to solve Eqs.
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