Nonmatching Grids for the Coupled Computation of Flow Induced Noise

Triebenbacher, Simon; Escobar, Max; Flemisch, Bernd

doi:10.2514/6.2007-3512

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…all operations for nonconforming grid techniques, as the projection of coordinates, intersection operations, etc., between the two surface meshes are needed (for details, we refer to Reference [8]). Please note that not only nodes on the interfaces but also neighboring nodes in Ω 1 and in Ω 2 are involved, since the computation of some entries requires normal derivatives (see Figure 3).…”

Section: Finite Element Formulationmentioning

confidence: 99%

“…The algebraic vectors

{\underset{f}{true}}_{1}

{\underset{f}{true}}_{2}

on the right‐hand side of (18) arise from the boundary conditions as defined in (6) and (7). In order to compute the entries of the coupling matrices

{boldK}_{{normalΓ}_{1} {normalΓ}_{2}} = {boldK}_{{normalΓ}_{2} {normalΓ}_{1}}^{T}

all operations for nonconforming grid techniques, as the projection of coordinates, intersection operations, etc., between the two surface meshes are needed (for details, we refer to Reference [8]). Please note that not only nodes on the interfaces but also neighboring nodes in Ω 1 and in Ω 2 are involved, since the computation of some entries requires normal derivatives (see Figure 3).…”

Section: Finite Element Formulationmentioning

confidence: 99%

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Nonconforming finite element formulation for the simulation of impedance cardiography

Badeli¹,

Reinbacher‐Köstinger²

2022

Int J Numerical Modelling

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We present a nonconforming Finite Element (FE) formulation for the electro‐quasistatic case. The formulation allows a grid generation for each sub‐domain individually. At the nonconforming interfaces, we apply a Nitsche‐type mortaring, which can also be interpreted as a DG‐IP (Discontinuous Galerkin‐Internal Penalty) formulation. Thereby, the continuity of the electric potential and the electric flux in the discrete setting is guaranteed. The system matrix remains symmetric, and the necessary penalty factor can be chosen in a wide range without deteriorating the numerical solution. The application to impedance cardiography demonstrates the practical applicability, especially its advantage toward simplification of the grid generation.

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Section: Finite Element Formulationmentioning

confidence: 99%

“…The algebraic vectors

{\underset{f}{true}}_{1}

{\underset{f}{true}}_{2}

on the right‐hand side of (18) arise from the boundary conditions as defined in (6) and (7). In order to compute the entries of the coupling matrices

{boldK}_{{normalΓ}_{1} {normalΓ}_{2}} = {boldK}_{{normalΓ}_{2} {normalΓ}_{1}}^{T}

Section: Finite Element Formulationmentioning

confidence: 99%

Nonconforming finite element formulation for the simulation of impedance cardiography

Badeli¹,

Reinbacher‐Köstinger²

2022

Int J Numerical Modelling

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“…The reason for this is that sound sources were computed from the flow only after the flow through the device had fully developed its turbulent structure. Instantaneously applying the full-scale sources to the initially quiescent acoustic medium would result in numerical acoustic waves that can have an adverse effect on the real physical solution [17]. This effect can be avoided using a fade-in of the sound sources.…”

Section: Acoustic Simulationmentioning

confidence: 99%

CAA of an Air-Cooling System for Electronic Devices

Münsterjohann

Grabinger²,

Becker

2016

Advances in Acoustics and Vibration

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This paper presents the workflow and the results of fluid dynamics and aeroacoustic simulations for an air-cooling system as used in electronic devices. The setup represents a generic electronic device with several electronic assemblies with forced convection cooling by two axial fans. The aeroacoustic performance is computed using a hybrid method. In a first step, two unsteady CFD simulations using the Unsteady Reynolds-Averaged Navier-Stokes simulation with Shear Stress Transport (URANS-SST) turbulence model and the Scale Adaptive Simulation with Shear Stress Transport (SAS-SST) models were performed. Based on the unsteady flow results, the acoustic source terms were calculated using Lighthill’s acoustic analogy. Propagation of the flow-induced sound was computed using the Finite Element Method. Finally, the results of the acoustic simulation are compared with measurements and show good agreement.

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