The lack of a necessary rational framework for assessing ship stability was the main concern of
this research. The aim was to develop a rational philosophy and a logical procedure of assessing
intact stability in order to ensure a consistent and unified approach to design for operation and for
survival.
The method uniquely brings together a linearised analysis for assessing a potentially dangerous
roll motion with a probabilistic assessment of ship performance in rough seas on a standard
test-track. This represents a significant advance on previous research.
A novel feature of the analysis was that prediction of the extreme capsize roll motion was not
attempted per se. Instead a reduced level of roll response termed "potentially dangerous" roll
motion was selected (based on discussions with seagoing personnel) beyond which there was
evidence that loss of the vessel is likely.
Validation of the linear spectral analysis used in the simulations was performed using full scale
trial results of a fisheries protection vessel. Provided that measured values of roll damping
coefficient were used, the predicted values of extreme roll closely matched the maximum values
experienced on sea trials up to the chosen value of critical roll angle of 30 degrees.
Particular attention was paid to the realistic modelling of total system behaviour in rough seas.
Families of wave spectra were used to represent the complete range of wave conditions
encountered in nature. Avoidance and pacifying seamanship were incorporated based on the
results of available trials data and discussions with serving masters.
Independent (Bernoulli) trials procedures were used to calculate the cumulative probability of a
critical roll motion being exceeded at least once during the vessel's passage through the test-track.
The value of critical motion exceedance obtained was 5x10ˉ² for the fisheries protection vessel
which has a large metacentic height and is reported to have good seakeeping characteristics.
Date of Award | 1988 |
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Original language | English |
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Awarding Institution | |
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Prediction of the Risk of Capsize of Small Ships
Deakins, E. (Author). 1988
Student thesis: PhD