A GPU-accelerated pseudo-3D vortex method for aerodynamic analysis

Morgenthal, Guido; Corriols, Abraham Sánchez; Bendig, Benjamin

doi:10.1016/j.jweia.2013.12.002

Cited by 32 publications

(16 citation statements)

References 29 publications

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“…Further discussions on the VPM are ommited herein for the sake of brevity. For detailed information, we refer to Cottet and Koumoutsakos (2000) for the governing equations of the VPM and to Morgenthal and Walther (2007); Morgenthal et al (2014) for the numerical implementation utilized in this work.…”

Section: Vortex Particle Methodsmentioning

confidence: 99%

Determination of complex aerodynamic admittance of bridge decks under deterministic gusts using the Vortex Particle Method

Kavrakov

Argentini

Omarini

et al. 2019

Journal of Wind Engineering and Industrial Aerodynamics

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The accurate description of the aerodynamic forces due to free-stream turbulence acting on a stationary bridge deck represents a challenging task. This paper presents a Computational Fluid Dynamics (CFD) approach based on the two-dimensional (2D) Vortex Particle Method (VPM) for simulation of a six-component complex aerodynamic admittance. Deterministic free-stream turbulence is simulated by modeling the wakes of two fictitious pitching airfoils with vortex particles. For out-of-or in-phase sinusoidal oscillations of the airfoils, a longitudinal or vertical sinusoidal gust is obtained along the centerline, respectively. A closed-form solution, based on an existing mathematical model, is deduced to relate the gust amplitudes and vortex particles' circulation. Positioning a section downstream of the particle release locations yields sinusoidal buffeting forces. The complex aerodynamic admittance is then determined as a transfer function between the buffeting forces and the deterministic free-stream turbulence. A verification of the method is performed for the complex Sears' admittance of a flat plate. Finally, the CFD method is validated against wind tunnel tests for a streamlined bridge deck. The results from both, verification and validation, yielded a good agreement. Applications of the presented method are foreseen in the scope of buffeting analyses of line-like structures under the strip assumption.

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Section: Vortex Particle Methodsmentioning

confidence: 99%

Determination of complex aerodynamic admittance of bridge decks under deterministic gusts using the Vortex Particle Method

Kavrakov

Argentini

Omarini

et al. 2019

Journal of Wind Engineering and Industrial Aerodynamics

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“…The section forces for aerodynamic analysis can be calculated by integrating pressures on the surface panels. More details about the solver can be found in [8,9] while its specific implementations can be found in [10,14,15,13,16].…”

Section: A Pseudo-3d Algorithm For Fluid-structure Interaction 21 Flmentioning

confidence: 99%

“…The partitioned methods are often used in FSI simulations for their flexibility of using different existing solvers for fluid and structure models. Here, the pseudo-3D vortex particle method (VPM) is used for analysing the fluid dynamics [8,9,10,11,12]. A two-dimensional (2D) fully coupled FSI model was presented in [13] for simulating non-linear aeroelastic instabilities.…”

Section: Introductionmentioning

confidence: 99%

A Pseudo Three-Dimensional Multi-Slice Numerical Model to Simulate Wind-Induced Vibration of Thin-Walled Roof Systems

Chawdhury¹,

Morgenthal²

2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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“…As such it can potentially profit significantly from accelerators such as graphic processing units (GPUs) or the Intel Xeon Phi. In fact, some papers have been published that implement panel methods on GPUs (see, for example, the work conducted in [9][10][11][12]). However, most of the literature focuses on the three dimensional case.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Intel Xeon Phi 7120 and NVIDIA K80 as accelerators for two-dimensional panel codes

Einkemmer

2017

PLoS ONE

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To optimize the geometry of airfoils for a specific application is an important engineering problem. In this context genetic algorithms have enjoyed some success as they are able to explore the search space without getting stuck in local optima. However, these algorithms require the computation of aerodynamic properties for a significant number of airfoil geometries. Consequently, for low-speed aerodynamics, panel methods are most often used as the inner solver. In this paper we evaluate the performance of such an optimization algorithm on modern accelerators (more specifically, the Intel Xeon Phi 7120 and the NVIDIA K80). For that purpose, we have implemented an optimized version of the algorithm on the CPU and Xeon Phi (based on OpenMP, vectorization, and the Intel MKL library) and on the GPU (based on CUDA and the MAGMA library). We present timing results for all codes and discuss the similarities and differences between the three implementations. Overall, we observe a speedup of approximately 2.5 for adding an Intel Xeon Phi 7120 to a dual socket workstation and a speedup between 3.4 and 3.8 for adding a NVIDIA K80 to a dual socket workstation.

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A GPU-accelerated pseudo-3D vortex method for aerodynamic analysis

Cited by 32 publications

References 29 publications

Determination of complex aerodynamic admittance of bridge decks under deterministic gusts using the Vortex Particle Method

Determination of complex aerodynamic admittance of bridge decks under deterministic gusts using the Vortex Particle Method

A Pseudo Three-Dimensional Multi-Slice Numerical Model to Simulate Wind-Induced Vibration of Thin-Walled Roof Systems

Evaluation of the Intel Xeon Phi 7120 and NVIDIA K80 as accelerators for two-dimensional panel codes

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