1.
Christian; Gornicz Veldhuis, Tomasz; Scholcz
13th International Symposium on Practical Design of Ships (PRADS), Copenhagen, Denmark, no. ID080, Practical Design of Ships and Other Floating Structures 2016.
@conference{Veldhuis2016,
title = {Ship optimization using viscous flow computations in combination with generic shape variations and Design of Experiments},
author = {Veldhuis, Christian; Gornicz, Tomasz; Scholcz, Thomas},
url = {http://www.marin.nl/web/Publications/Papers/Ship-optimization-using-viscous-flow-computations-in-combination-with-generic-shape-variations-and-Design-of-Experiments.htm},
year = {2016},
date = {2016-09-04},
booktitle = {13th International Symposium on Practical Design of Ships (PRADS), Copenhagen, Denmark},
journal = {Proceedings of PRADS2016 4th – 8th September, 2016 Copenhagen, Denmark},
number = {ID080},
organization = {Practical Design of Ships and Other Floating Structures},
abstract = {This paper discusses a procedure to optimize ship hull forms for minimum required power and best wake field quality, based on viscous flow computations. This research elaborates on an earlier optimization at MARIN (Van der Ploeg and Raven, 2010 and Van der Ploeg, Starke and Veldhuis, 2013). That optimization lead to a clear Pareto front and trends for a systematic variation study for the afterbody of a chemical tanker. In 2016, new steps are taken to ease and generalize the method of hull shape generation. In the previous study the design space was set up by means of ‘manually’ designed basis hull shapes. In the new approach we test the use of generic basis hull shapes which are automatically generated from one initial hull shape. If effective, this approach can speed up the design process significantly. Finally, we want to improve the process even further by using a Design of Exper-iments approach in which the systematic variations are re-placed by a more clever distribution of calculations over the design space. },
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This paper discusses a procedure to optimize ship hull forms for minimum required power and best wake field quality, based on viscous flow computations. This research elaborates on an earlier optimization at MARIN (Van der Ploeg and Raven, 2010 and Van der Ploeg, Starke and Veldhuis, 2013). That optimization lead to a clear Pareto front and trends for a systematic variation study for the afterbody of a chemical tanker. In 2016, new steps are taken to ease and generalize the method of hull shape generation. In the previous study the design space was set up by means of ‘manually’ designed basis hull shapes. In the new approach we test the use of generic basis hull shapes which are automatically generated from one initial hull shape. If effective, this approach can speed up the design process significantly. Finally, we want to improve the process even further by using a Design of Exper-iments approach in which the systematic variations are re-placed by a more clever distribution of calculations over the design space.
2016
Christian; Gornicz Veldhuis, Tomasz; Scholcz
13th International Symposium on Practical Design of Ships (PRADS), Copenhagen, Denmark, no. ID080, Practical Design of Ships and Other Floating Structures 2016.
Abstract | Links | BibTeX | Tags: CFD, design of experiments, optimization, power, wake field
@conference{Veldhuis2016,
title = {Ship optimization using viscous flow computations in combination with generic shape variations and Design of Experiments},
author = {Veldhuis, Christian; Gornicz, Tomasz; Scholcz, Thomas},
url = {http://www.marin.nl/web/Publications/Papers/Ship-optimization-using-viscous-flow-computations-in-combination-with-generic-shape-variations-and-Design-of-Experiments.htm},
year = {2016},
date = {2016-09-04},
booktitle = {13th International Symposium on Practical Design of Ships (PRADS), Copenhagen, Denmark},
journal = {Proceedings of PRADS2016 4th – 8th September, 2016 Copenhagen, Denmark},
number = {ID080},
organization = {Practical Design of Ships and Other Floating Structures},
abstract = {This paper discusses a procedure to optimize ship hull forms for minimum required power and best wake field quality, based on viscous flow computations. This research elaborates on an earlier optimization at MARIN (Van der Ploeg and Raven, 2010 and Van der Ploeg, Starke and Veldhuis, 2013). That optimization lead to a clear Pareto front and trends for a systematic variation study for the afterbody of a chemical tanker. In 2016, new steps are taken to ease and generalize the method of hull shape generation. In the previous study the design space was set up by means of ‘manually’ designed basis hull shapes. In the new approach we test the use of generic basis hull shapes which are automatically generated from one initial hull shape. If effective, this approach can speed up the design process significantly. Finally, we want to improve the process even further by using a Design of Exper-iments approach in which the systematic variations are re-placed by a more clever distribution of calculations over the design space. },
keywords = {CFD, design of experiments, optimization, power, wake field},
pubstate = {published},
tppubtype = {conference}
}
This paper discusses a procedure to optimize ship hull forms for minimum required power and best wake field quality, based on viscous flow computations. This research elaborates on an earlier optimization at MARIN (Van der Ploeg and Raven, 2010 and Van der Ploeg, Starke and Veldhuis, 2013). That optimization lead to a clear Pareto front and trends for a systematic variation study for the afterbody of a chemical tanker. In 2016, new steps are taken to ease and generalize the method of hull shape generation. In the previous study the design space was set up by means of ‘manually’ designed basis hull shapes. In the new approach we test the use of generic basis hull shapes which are automatically generated from one initial hull shape. If effective, this approach can speed up the design process significantly. Finally, we want to improve the process even further by using a Design of Exper-iments approach in which the systematic variations are re-placed by a more clever distribution of calculations over the design space.