Dynamic Environment Prediction: Safe launch and recovery in high sea states. A Co-creation Initiative.
Lead Research Organisation:
University of Southampton
Department Name: Faculty of Engineering & the Environment
Abstract
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Publications
Belmont M
(2019)
Obtaining the distribution of quiescent periods directly from the power spectral densities of Sea waves
in Applied Ocean Research
Caiazzo G
(2019)
The limitations of statistical low runs prediction in rough seas: A study based on real wave data
in Ocean Engineering
Rout V
(2024)
Control of the launch and recovery of small boats to a mothership in high sea states using sliding mode methods
in Control Engineering Practice
| Description | Kimura' theory for prediction of the next quiescent period was shown only to produce good predictions of low runs when a minimum length of 6-8 hours of data is available for sea states that are not deterministic. A method of predicting the probability of quiescent periods from the sea spectrum based on a modified ship response function is being developed. |
| Exploitation Route | In the determination of safety intervals in landing aircraft on Naval Ships as well as to assist in estimating the QP for rescuing and launching small ships from larger vessels. |
| Sectors | Aerospace, Defence and Marine,Transport |
| URL | http://www.soton.ac.uk |
| Description | Hydrodynamic Modelling for Launch and Recovery |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Hydrodynamic modelling of a small vessel alongside a large vessel for the initial conditions into the University of Exeter's crane control model. |
| Collaborator Contribution | University of Exeter control engineers have modelled a crane on the deck of the large vessel which uses wave data prediction from measurements ahead of the large vessel to predict when to lift the small vessel from the water. |
| Impact | A joint report on the numerical modelling. |
| Start Year | 2021 |