Benefiting from Sobol Sequences Experiment Design Type for Model-based Calibration

Azmin, Farraen Mohd; Stobart, Richard

doi:10.4271/2015-01-1640

Cited by 9 publications

(2 citation statements)

References 8 publications

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“…This process allows us to examine the design space and the response of several parameters to the change of the model's main characteristics. The algorithm utilised is the Sobol algorithm, a quasi-random sequence which secures the overall coverage of the design space, while overlapping of previous set of sequences is avoided (Mohd Azmin, 2015). Through the DoE, the investigation of the feasibility boundaries is ultimately achieved, allowing us to detect the trends of the design variables (Table 2) in regard to the optimisation objectives.…”

Section: Design Explorationmentioning

confidence: 99%

Parametric design and multi-objective optimisation of containerships

et al. 2018

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Section: Design Explorationmentioning

confidence: 99%

Parametric design and multi-objective optimisation of containerships

et al. 2018

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“…This process will allow us to examine the design space and the response of several parameters to the change of the model's main characteristics. The algorithm utilized in this phase is the Sobol algorithm, a quasirandom sequence which secures the overall coverage of the design space, whereas the overlapping of previous set of sequences is avoided (Azmin & Stobart 2015). Through the DoE, the investigation of the feasibility boundaries is ultimately achieved, allowing us to detect the trends of the design variables in regard to the optimization objectives.…”

Section: Design Explorationmentioning

confidence: 99%

Parametric Design and Multiobjective Optimization of Containerships

Priftis¹,

Papanikolaou²,

Plessas³

2017

j ship prod des

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The introduction of the energy efficiency design index (EEDI) and ballast water treatment regulations by the International Maritime Organization, the fluctuation of fuel price levels, along with the continuous endeavor of the shipping industry for economic growth and profits has led the shipbuilding industry to explore new and cost-efficient designs for various types of merchant ships. In this respect, proper use of modern computer-aided design/computer-aided engineering systems (CAD/CAE) extends the design space, while generating competitive designs with innovative features in short lead time. The present article deals with the parametric design and optimization of containerships. The developed methodology, which is based on the CAESES/Friendship-Framework software system, is demonstrated by the conceptual design and multiobjective optimization of a midsized, 6500-TEU containership. The methodology includes a complete parametric model of ship's external and internal geometry and the development and coding of all models necessary for the determination of the design constraints and the design efficiency indicators, which are used for the evaluation of parametrically generated designs. Such indicators defining the objective functions of a multi-objective optimization problem are herein the EEDI, the required freight rate, ship's zero ballast container box capacity, and the ratio of the above to below deck number of containers. The set-up multiobjective optimization problem is solved by use of genetic algorithms and clear Pareto fronts are generated. Identified optimal design proves very competitive compared to standard container ship designs of the market.

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