000007694 001__ 7694
000007694 005__ 20240531164756.0
000007694 02470 $$2doi$$a10.24868/issn.2515-818X.2020.053
000007694 035__ $$a4498276
000007694 037__ $$aGENERAL
000007694 245__ $$aAn Integrated Approach for Efficient Hull Forms using Data Compression and CFD
000007694 269__ $$a2020-10-05
000007694 336__ $$aConference Proceedings
000007694 520__ $$aThe development of efficient hull forms is of growing interest due to the implementation of the Energy Efficiency Design Index (EEDI) by the International Maritime Organisation (IMO). An optimal hull form generation requires a long, intensive, and iterative development cycle. It would be extremely valuable if the existing data of hull forms are used to obtain a new optimal hull. The availability of these data might shorten the time and cost of developing an optimal design. Moreover, the selection of an optimal hull involves the investigation of a ship’s hydrodynamic performances against various hull geometric configurations. The use of computer-aided tools brings in a substantial reduction in execution time and costs. However, the integration of other domains in the ship design process could potentially tackle these issues much more effectively. The focus of the present work is to propose an integrated approach in obtaining an efficient hull configuration using a data compression method with Computational Fluid Dynamics (CFD). A database of normalized ship offsets is generated through a literature survey for a particular type of hull form. A data matrix compression technique, a statistical procedure that uses an orthogonal transformation, is used to compress the table of offsets into a set of scores. These sets of scores can be used to derive another set of offsets. The objective is to find the principal scores for the range of selected hull forms. These principal scores might represent the efficient hull form. To validate the obtained principal scores, the hull form that is generated through the proposed data compression method is then inputted into the CFD solver for the calm water performances. The results obtained through CFD is then compared with the results of the reference hulls. A new set of principal scores could be generated if the performance of the hull is below that of the reference hull. Finally, by finding the optimal principal scores, an efficient hull form can be developed and the same principal scores could be used to obtain the optimal hull forms for various dimensions.
000007694 542__ $$fCC-BY-4.0
000007694 6531_ $$aData compression
000007694 6531_ $$aCFD
000007694 6531_ $$aDatabase
000007694 6531_ $$aPrinciple scores
000007694 6531_ $$aEfficient hull
000007694 7001_ $$aNoel, A$$uAMET Deemed to be University, Chennai, India
000007694 7001_ $$aShreyanka, K$$uAMET Deemed to be University, Chennai, India
000007694 7001_ $$aKumar, KGS$$uAMET Deemed to be University, Chennai, India
000007694 773__ $$tConference Proceedings of INEC
000007694 773__ $$jINEC 2020
000007694 789__ $$whttps://zenodo.org/record/4498276$$2URL$$eIsIdenticalTo
000007694 85641 $$uhttps://www.imarest.org/events/inec-2020$$yConference website
000007694 8564_ $$9e731e557-2f74-4732-a9a7-d2cdeeb6ca59$$s1326182$$uhttps://library.imarest.org/record/7694/files/INEC_2020_Paper_88.pdf