Dynamical Degree Adaptivity for DG-LES Models

Tugnoli, Matteo; Abbà, Antonella; Bonaventura, Luca

doi:10.1007/978-3-030-39647-3_26

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…The maximum radial velocity chosen is v θmax = 0.5 and the vortex radius is R v = 0.41. The simple, undisturbed advection of this vortex was tested successfully for the resolutions employed here in [40,85]. A reference simulation without vortex was used to calibrate the introduction time, so as to allow the vortex to reach the cylinder at the instant of maximum lift.…”

Section: Interaction Of Vortex and Square Section Cylindermentioning

confidence: 99%

Dynamical p−adaptivity for LES of compressible flows in a high order DG framework

Abbà

Recanati

Tugnoli

et al. 2020

Journal of Computational Physics

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Section: Interaction Of Vortex and Square Section Cylindermentioning

confidence: 99%

Dynamical p−adaptivity for LES of compressible flows in a high order DG framework

Abbà

Recanati

Tugnoli

et al. 2020

Journal of Computational Physics

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“…A vortex, with axis parallel to the wing and rotating in the counterclockwise direction, has been introduced in the developed velocity field obtained by the simulation of the flow around the SD7003 airfoil described in the previous subsection, in order to simulate the BVI phenomenon. The definition of the vortex is the one used by [15,24] inducing the velocity and pressure…”

Section: Simulation Of Parallel Bvimentioning

confidence: 99%

LDG Method with P-Adaptivity Applied to LES of Blade-Vortex Interaction

Bresciani¹,

Abbà²

2021

14th WCCM-ECCOMAS Congress

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In the present work the Local Discontinuous Galerkin (LDG) method with polynomial adaptivity is applied to the Large Eddy Simulation (LES) of the parallel blade-vortex interaction (BVI). The BVI phenomenon occurs on helicopter and drone rotors in manoeuvring conditions and it produces impulsive changes in the pressure distributions, vibrations and noise. To deeply understand the mechanism of load generation related to the pressure field and three dimensional perturbations growth, to focus on the interaction between the vortex and the three dimensional structures in boundary layer and wake, accurate 3D unsteady numerical simulations of turbulent flows are necessary. For this reason, it is very important the use of a numerical code based on high order schemes such as LDG. Moreover, in the LDG approach, the numerical resolution can be varied on each element and in time, adapting to the requirement of the simulated flow and saving a large amount of computing resources. In the used numerical code the criterion for variation of the polynomial order is based on a refinement indicator especially suited for LES and based on the structure function. The local polynomial representation directly provides a means to separate large from small scale modes, thus providing the starting point for the definition of the subgrid scale models. In the present simulations, the subgrid scales contribution is represented with a sophisticated dynamic anisotropic subgrid model, suitable and well tested for wall resolved LES and complex separated turbulent flows. The BVI is simulated highlighting the effect of the vortex on the pressure distributions, on the boundary layer separation and on the resulting forces.

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“…In [31,33] simple advection of this vortex was tested. The maximum radial velocity chosen is v θmax = 0.5 and the vortex radius is R v = 0.41.…”

Section: Interaction Of Vortex and Square Section Cylindermentioning

confidence: 99%

Dynamical p-adaptivity for LES of compressible flows in a high order DG framework

Abbà,

Bonaventura,

Recanati

et al. 2019

Preprint

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We investigate the possibility of reducing the computational burden of LES models by employing locally and dynamically adaptive polynomial degrees in the framework of a high order DG method. A degree adaptation technique especially featured to be effective for LES applications, that was previously developed by the authors and tested in the statically adaptive case, is applied here in a dynamically adaptive fashion. Two significant benchmarks are considered, comparing the results of adaptive and non adaptive simulations. The proposed dynamically adaptive approach allows for a significant reduction of the computational cost of representative LES computation, while allowing to maintain the level of accuracy guaranteed by LES carried out with constant, maximum polynomial degree values.

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Dynamical Degree Adaptivity for DG-LES Models

Cited by 2 publications

References 9 publications

Dynamical p−adaptivity for LES of compressible flows in a high order DG framework

Dynamical p−adaptivity for LES of compressible flows in a high order DG framework

LDG Method with P-Adaptivity Applied to LES of Blade-Vortex Interaction

Dynamical p-adaptivity for LES of compressible flows in a high order DG framework

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