TY  - GEN
N2  - The 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.
AB  - The 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.
AD  - AMET Deemed to be University, Chennai, India
AD  - AMET Deemed to be University, Chennai, India
AD  - AMET Deemed to be University, Chennai, India
T1  - An Integrated Approach for Efficient Hull Forms using Data Compression and CFD
DA  - 2020-10-05
AU  - Noel, A
AU  - Shreyanka, K
AU  - Kumar, KGS
L1  - https://library.imarest.org/record/7694/files/INEC_2020_Paper_88.pdf
JF  - Conference Proceedings of INEC
VL  - INEC 2020
PY  - 2020-10-05
ID  - 7694
L4  - https://library.imarest.org/record/7694/files/INEC_2020_Paper_88.pdf
KW  - Data compression
KW  - CFD
KW  - Database
KW  - Principle scores
KW  - Efficient hull
TI  - An Integrated Approach for Efficient Hull Forms using Data Compression and CFD
Y1  - 2020-10-05
L2  - https://library.imarest.org/record/7694/files/INEC_2020_Paper_88.pdf
LK  - https://www.imarest.org/events/inec-2020
LK  - https://library.imarest.org/record/7694/files/INEC_2020_Paper_88.pdf
UR  - https://www.imarest.org/events/inec-2020
UR  - https://library.imarest.org/record/7694/files/INEC_2020_Paper_88.pdf
ER  -