1.
Thomas P. Scholcz, Christian H. J. Veldhuis
Multi-Objective Surrogate Based Hull-Form Optimization Using High-Fidelity RANS Computations Conference
VII International Conference on Computational Methods in Marine Engineering (MARINE 2017), 2017.
@conference{Scholcz2017,
title = {Multi-Objective Surrogate Based Hull-Form Optimization Using High-Fidelity RANS Computations},
author = {Thomas P. Scholcz, Christian H.J. Veldhuis},
url = {http://www.marin.nl/web/Publications/Publication-items/MultiObjective-Surrogate-Based-HullForm-Optimization-Using-HighFidelity-RANS-Computations.htm},
year = {2017},
date = {2017-05-01},
booktitle = {VII International Conference on Computational Methods in Marine Engineering (MARINE 2017)},
abstract = {RANS-based optimization procedures for ship design become increasingly complex and require the development of more efficient optimization techniques. The four phases of the design procedure are: shape parameterization, global sensitivity analysis, multi-objective optimization and design review. The dimensions of the design space can be mitigated by a smart choice for the shape parameterization and by screening and ranking the design variables in the global sensitivity phase. Subsequently, Surrogate Based Global Optimization (SBGO) is used to reduce the cost of the multi-objective optimization phase. For a practical application it is shown that the computational time reduces from two weeks to only a day when using SBGO instead of applying a Multi-Objective Genetic Algorithm (MOGA) directly to the solver. The design review phase is then used to verify and further develop the optimal design. Here, we focus on automatic ship design techniques which comprises the first three steps of the design procedure. Accelerating the ship design process is subject of ongoing research at the Maritime Research Institute Netherlands, making it useful for practical applications with turnaround times of only a few weeks.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
RANS-based optimization procedures for ship design become increasingly complex and require the development of more efficient optimization techniques. The four phases of the design procedure are: shape parameterization, global sensitivity analysis, multi-objective optimization and design review. The dimensions of the design space can be mitigated by a smart choice for the shape parameterization and by screening and ranking the design variables in the global sensitivity phase. Subsequently, Surrogate Based Global Optimization (SBGO) is used to reduce the cost of the multi-objective optimization phase. For a practical application it is shown that the computational time reduces from two weeks to only a day when using SBGO instead of applying a Multi-Objective Genetic Algorithm (MOGA) directly to the solver. The design review phase is then used to verify and further develop the optimal design. Here, we focus on automatic ship design techniques which comprises the first three steps of the design procedure. Accelerating the ship design process is subject of ongoing research at the Maritime Research Institute Netherlands, making it useful for practical applications with turnaround times of only a few weeks.
2.
Raven, H. C.; Scholcz, T. P.
Wave Resistance Minimisation In Practical Ship Design Conference
VII International Conference on Computational Methods in Marine Engineering (MARINE2017), Nantes, France, 2017.
@conference{Raven2017,
title = {Wave Resistance Minimisation In Practical Ship Design},
author = {Raven, H.C. and Scholcz, T.P.},
url = {http://www.marin.nl/web/Publications/Publication-items/Wave-Resistance-Minimisation-In-Practical-Ship-Design.htm},
year = {2017},
date = {2017-05-01},
booktitle = {VII International Conference on Computational Methods in Marine Engineering (MARINE2017), Nantes, France},
pages = {131-142},
abstract = {A practical and efficient system is described for ship hull form optimisation and its application for minimising wave resistance. Parametric hull form deformations are defined in a CAD system, specific for the case considered and related with flow aspects to be addressed. Surrogate-based global optimisation is applied for multiobjective problems, such as optimisation for a ship’s operational profile. },
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
A practical and efficient system is described for ship hull form optimisation and its application for minimising wave resistance. Parametric hull form deformations are defined in a CAD system, specific for the case considered and related with flow aspects to be addressed. Surrogate-based global optimisation is applied for multiobjective problems, such as optimisation for a ship’s operational profile.
2017
Thomas P. Scholcz, Christian H. J. Veldhuis
Multi-Objective Surrogate Based Hull-Form Optimization Using High-Fidelity RANS Computations Conference
VII International Conference on Computational Methods in Marine Engineering (MARINE 2017), 2017.
Abstract | Links | BibTeX | Tags: Hull-form, Multi-level, Multi-objective, optimization, RANS, Surrogate
@conference{Scholcz2017,
title = {Multi-Objective Surrogate Based Hull-Form Optimization Using High-Fidelity RANS Computations},
author = {Thomas P. Scholcz, Christian H.J. Veldhuis},
url = {http://www.marin.nl/web/Publications/Publication-items/MultiObjective-Surrogate-Based-HullForm-Optimization-Using-HighFidelity-RANS-Computations.htm},
year = {2017},
date = {2017-05-01},
booktitle = {VII International Conference on Computational Methods in Marine Engineering (MARINE 2017)},
abstract = {RANS-based optimization procedures for ship design become increasingly complex and require the development of more efficient optimization techniques. The four phases of the design procedure are: shape parameterization, global sensitivity analysis, multi-objective optimization and design review. The dimensions of the design space can be mitigated by a smart choice for the shape parameterization and by screening and ranking the design variables in the global sensitivity phase. Subsequently, Surrogate Based Global Optimization (SBGO) is used to reduce the cost of the multi-objective optimization phase. For a practical application it is shown that the computational time reduces from two weeks to only a day when using SBGO instead of applying a Multi-Objective Genetic Algorithm (MOGA) directly to the solver. The design review phase is then used to verify and further develop the optimal design. Here, we focus on automatic ship design techniques which comprises the first three steps of the design procedure. Accelerating the ship design process is subject of ongoing research at the Maritime Research Institute Netherlands, making it useful for practical applications with turnaround times of only a few weeks.},
keywords = {Hull-form, Multi-level, Multi-objective, optimization, RANS, Surrogate},
pubstate = {published},
tppubtype = {conference}
}
RANS-based optimization procedures for ship design become increasingly complex and require the development of more efficient optimization techniques. The four phases of the design procedure are: shape parameterization, global sensitivity analysis, multi-objective optimization and design review. The dimensions of the design space can be mitigated by a smart choice for the shape parameterization and by screening and ranking the design variables in the global sensitivity phase. Subsequently, Surrogate Based Global Optimization (SBGO) is used to reduce the cost of the multi-objective optimization phase. For a practical application it is shown that the computational time reduces from two weeks to only a day when using SBGO instead of applying a Multi-Objective Genetic Algorithm (MOGA) directly to the solver. The design review phase is then used to verify and further develop the optimal design. Here, we focus on automatic ship design techniques which comprises the first three steps of the design procedure. Accelerating the ship design process is subject of ongoing research at the Maritime Research Institute Netherlands, making it useful for practical applications with turnaround times of only a few weeks.
Raven, H. C.; Scholcz, T. P.
Wave Resistance Minimisation In Practical Ship Design Conference
VII International Conference on Computational Methods in Marine Engineering (MARINE2017), Nantes, France, 2017.
Abstract | Links | BibTeX | Tags: Multi-objective, Optimisation, surrogate-based, wave resistance
@conference{Raven2017,
title = {Wave Resistance Minimisation In Practical Ship Design},
author = {Raven, H.C. and Scholcz, T.P.},
url = {http://www.marin.nl/web/Publications/Publication-items/Wave-Resistance-Minimisation-In-Practical-Ship-Design.htm},
year = {2017},
date = {2017-05-01},
booktitle = {VII International Conference on Computational Methods in Marine Engineering (MARINE2017), Nantes, France},
pages = {131-142},
abstract = {A practical and efficient system is described for ship hull form optimisation and its application for minimising wave resistance. Parametric hull form deformations are defined in a CAD system, specific for the case considered and related with flow aspects to be addressed. Surrogate-based global optimisation is applied for multiobjective problems, such as optimisation for a ship’s operational profile. },
keywords = {Multi-objective, Optimisation, surrogate-based, wave resistance},
pubstate = {published},
tppubtype = {conference}
}
A practical and efficient system is described for ship hull form optimisation and its application for minimising wave resistance. Parametric hull form deformations are defined in a CAD system, specific for the case considered and related with flow aspects to be addressed. Surrogate-based global optimisation is applied for multiobjective problems, such as optimisation for a ship’s operational profile.