首页|A probabilistic framework for assessing helicopter landing conditions within the ship air-wake

A probabilistic framework for assessing helicopter landing conditions within the ship air-wake

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  • NETL
  • NSTL
  • Elsevier
© 2024 Elsevier LtdParticle Image Velocimetry (PIV) measurements were performed in a wind-wave facility to characterise the ship air-wake on the landing deck (LD) of a stationary NATO-GD model。 To our knowledge， this is the first laboratory ship air-wake experiment in a naturally-developed boundary layer over a water surface。 This study builds on our previous wind tunnel tests over a solid floor (Setiawan et al。 2022， Ocean Engineering， vol。 260， 111931)。 The results indicate that the air-wake statistical characteristics are comparable to the wind tunnel data， with the mean flow and turbulence kinetic energy only differing by 5% and 2%， respectively， from the flat-plate baseline flow。 We further developed a new probabilistic method to estimate the “landing risk” percentage based on the likelihood of extreme turbulence events。 Although the exercise was performed using the local vertical wind fluctuations 〈σwn〉LD employing a threshold specified for civil aviation， the approach can be adapted for other metrics or can employ a more suitable limit for the Navy context。 In essence， we mapped the fractional time (out of the total PIV snapshots) when the 〈σwn〉LD exceeded the selected threshold。 Having shown Reynolds number independence， we scaled up the velocity data in order to emulate a set of higher reference velocities。 It is shown there is a non-linear increase in the “landing risk” percentage with increasing reference velocity (wind speed)， and the various inflow conditions affect landing risk。

Atmospheric boundary layerExperimental investigationLanding safetyParticle image velocimetryShip air–wake

Setiawan H.、Zheng K.、Kevin、Monty J.P.

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Ocean Engineering Program Institut Teknologi Bandung

Department of Mechanical Engineering The University of Melbourne

2025

10.1016/j.oceaneng.2024.120027

Ocean Engineering

Ocean Engineering

SCI
ISSN：0029-8018
年,卷(期)：2025.317(Feb.1)
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