984
aerodynamic drag depends directly on the windage
area of the above- water part of the life raft. Thus, the
aerodynamic drag force, leeway, and drift of the life
raft are all influenced by its shape. In order to
implement a more precise and contemporary
methodology for the leeway problem, the authors
examine the extent of dependence between these
parameters.
5 CONCLUSIONS
Geometric modeling and parametric analysis of
pneumatic life rafts allow for improved estimation of
leeway, thereby enhancing the accuracy of search area
prediction in maritime Search and Rescue (SAR)
operations. The leeway of a drifting raft is strongly
dependent on aerodynamic drag acting on its above-
water structure. In this study, eight commercially
available life raft models were analyzed in terms of
shape, dimensional parameters, and cross-sectional
areas, which constitute key input variables in
aerodynamic resistance calculations. A comparative
assessment of aerodynamic drag was conducted for 6-
and 10-person life rafts, selected as the most
statistically representative group. The results indicate
a direct correlation between raft occupancy and
immersion depth, which leads to an increased
underwater area and a higher underwater-to-above-
water surface ratio (Aunder water /Aabove water),
increasing from an average of ~4% at minimal
occupancy (2 persons) to ~14% at full occupancy. The
highest drag forces were recorded for rafts no. 3 and 4,
characterized by oval geometries. Smaller rafts showed
a larger wind area per person ratio, which means less
influence of the wind. Conversely, increasing the
number of occupants results in deeper immersion and
greater hydrodynamic resistance.
Wind pressure depends on the size of the life raft
and the number of occupants on board. Calculations
showed a decrease in wind pressure as follows:
− For a 10-person life raft: a 10% reduction in wind
pressure when comparing full occupancy to only 2
persons on board;
− For a 6-person life raft: a 6% reduction in wind
pressure under the same conditions.
This corresponds to an approximate drag decrease
of 1.3% per additional person on board.
The presented study aims to further improve
algorithms for predicting wind drift and determining
search areas used in SAR (Search and Rescue) planning
tools.
ACKNOWLEDGEMENTS
This research was financed by Gdynia Maritime University
Grant No. WN/2025/PZ/03.
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