Experimental investigation of airflow over the helicopter platform of a polar icebreaker

Rahimpour, Mostafa; Oshkai, Peter

doi:10.1016/j.oceaneng.2016.05.023

Cited by 17 publications

(2 citation statements)

References 26 publications

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“…in funnel design (Kulkarni et al, 2007;Park et al, 2017) to avoid smoke on deck of cruise ships or in helipad modification to improve operational safety of shipboard helicopters (Bardera and Meseguer, 2015)). Nevertheless, the ship external turbulent flow, characterized by massive separation, reattachment and shear layer evolution, has been attracting researchers to conduct investigations on the wake structures above deck (Syms, 2008;Herry, 2010;Forrest and Owen, 2010;Herry et al, 2011;Bardera and Meseguer, 2015;Kääriä et al, 2013;Rahimpour and Oshkai, 2016;Forrest et al, 2016). The prediction of this flow around a ship tends to be of great practical importance, due to the aerodynamic drag implications and large-scale separation forming in the wake.…”

Section: Introductionmentioning

confidence: 99%

Comparison of PANS and LES of the flow past a generic ship

et al. 2018

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The prediction of flow past a generic ship has been performed using partially-averaged Navier-Stokes (PANS) turbulence model. The Reynolds number based on the width of the ship is × 8 10 4. A detailed comparison with resolved large-eddy simulation (LES) solution and available experimental data is made for a better understanding of the capability of PANS in predicting the turbulent flow in the wake. The results show that PANS produces similar trends to those predicted by LES. However, a coarse grid resolution will lead PANS to act as unsteady Reynolds-averaged Navier-Stokes (URANS). Although the geometry is symmetric for the incoming flow at a zero yaw angle, bi-stable behaviour is observed in the wake, contributing to an asymmetric flow distribution on the heli-deck.

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Section: Introductionmentioning

confidence: 99%

Comparison of PANS and LES of the flow past a generic ship

et al. 2018

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“…Thus, the turbulence intensity ( I ) is calculated by dividing the standard deviation of the respective velocity components (σ u and σ v ) by the freestream velocity ( U ∞ ), as per equations (3)–(5) respectively. 30,41–43…”

Section: Resultsmentioning

confidence: 99%

Pressure and velocity measurements of air flow past a proposed generic Aircraft carrier geometry

Kumar

Sheikh

Shukla

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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Research on the air flow disturbances in the aircraft carrier environment has gained prominence in recent times. However, there is presently no representative carrier model analogous to the Simplified Frigate Shape (SFS) which is generic naval frigate for air flow investigation. In the present study, a Generic Aircraft Carrier (GAC) model is proposed, as a simplified, benchmark model for aerodynamic research. With the motivation to provide validation data for future CFD studies, baseline experimental data is generated in the wind tunnel, in terms of pressure distribution over the deck, for two variants, namely, a complete flat deck configuration with no island and secondly, with the island in the baseline position of the GAC. Effect of the island in modifying the flow is discussed by a comparison between the two variants. Particle Image Velocimetry (PIV) is employed to record velocity and turbulence levels in the GAC environment, highlighting regions of velocity deficits, and unsteady flow which may hinder the landing procedure of an approaching pilot. Comprehensive database of experimental data is presented as baseline data for future work and for validation of numerical models. Traditional tuft and smoke visualization studies are also conducted to provide corroboratory qualitative insights.

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