Seakeeping assessment of fishing vessels in conceptual design stage

Sayli, Ayla; Alkan, Ahmet; Nabergoj, Radoslav; Uysal, Ayse Oncu

doi:10.1016/j.oceaneng.2006.05.003

Cited by 16 publications

(14 citation statements)

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“…In addition, this data set has motions of vessels in terms of RAOs of Heave, Pitch and Vertical Absolute Acceleration at stern. The RAO computations have been carried out by means of a two-dimensional computer code based on Frank close-fit method [8,9]. …”

Section: Vessel Databasementioning

confidence: 99%

“…Fig. 9 shows the correlation values for both Simple Model in our previous study [8] and the Cluster 1. The computed and approximated values of the transfer functions of heave, pitch and vertical acceleration for the vessels that reflect the general accuracy of the Cluster 1 with respect to computed responses shown in Fig.…”

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confidence: 90%

“…Determination of relational classification among hull form parameters Ayla Sayli and ship motions performance for a set of small vessels Ahmet Dursun Alkan, Merve Aydın The correlation analysis among the vessels in Cluster 1 (Vessel 01, 06, 09 and 11) for heave motion has showed a highly close approximation compared to the output of Simple Model [8,9] which was obtained by the correlation analysis of all 39 vessel variants, for 13 vessels with three loading conditions. In Simple Model, the ship motions were represented in function of hull form parameters of length to beam ratio, beam to draught ratio, length to volume ratio (LPP/B, B/T, L/ 1/3 ), speed to length ratio (Froude number, Fn) and wave length to ship length ratio (/L).…”

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confidence: 96%

“…In Simple Model, the ship motions were represented in function of hull form parameters of length to beam ratio, beam to draught ratio, length to volume ratio (LPP/B, B/T, L/ 1/3 ), speed to length ratio (Froude number, Fn) and wave length to ship length ratio (/L). It should be noted that while the Simple Model used in our previous study [8] was applied to the database of all vessels in Table 1, here we applied the same model to two different Clusters, Cluster 0 and Cluster 1. A detailed comparison study has been carried for several vessels in order to show the approximation level of Cluster 1 that was represented by a database of 13 vessels.…”

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confidence: 99%

“…Cluster 0 is also capable to give almost the same success of the approximation as Cluster 1. The clustered databases are used to model ship motions also with more hull form parameters, for this purpose, Enhanced 2 Model in our past study in [8] was taken into consideration. Enhanced 2 Model is a further extension of Simple Model parameters with water plane area ratio and prismatic coefficients for aft and forward parts of the hull body, those are LPP/B, B/T, L/ 1/3 , CWPA, CWPF, CVPA, CVPF, respectively.…”

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confidence: 99%

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Determination of Relational Classification Among Hull Form Parameters and Ship Motions Performance for a Set of Small Vessels

Sayli

Alkan

Aydın³

2016

Brod

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Data science for engineers is the most recent research area which suggests to analyse large data sets in order to find data analytics and use them for better designing and modelling. Ship design practice reveals that conceptual ship design is critically important for a successful basic design. Conceptual ship design needs to identify the true set of design variables influencing vessel performance and costs to define the best possible basic design by the use of performance prediction model. This model can be constructed by design engineers. The main idea of this paper comes from this crucial idea to determine relational classification of a set of small vessels using their hull form parameters and performance characteristics defined by transfer functions of heave and pitch motions and of absolute vertical acceleration, by our in-house software application based on K-Means algorithm from data mining. This application is implemented in the C# programming language on Microsoft SQL Server database. We also use the Elbow method to estimate the true number of clusters for K-Means algorithm. The computational results show that the considered set of small vessels can be clustered in three categories according to their functional relations of their hull form parameters and transfer functions considering all cases of three loading conditions, seven ship speeds as non-dimensional Froude numbers (Fn) and nine wave-length to ship-length values (λ/L).

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Section: Vessel Databasementioning

confidence: 99%

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confidence: 90%

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confidence: 96%

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confidence: 99%

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confidence: 99%

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