Parametric modelling method based on Knowledge Based Engineering:

The LNG bunkering vessel case

Conference Paper (2020)
Author(s)

N.D. Charisi (TU Delft - Ship Design, Production and Operations)

J.J. Hopman (TU Delft - Ship Design, Production and Operations, TU Delft - Marine and Transport Technology)

A.A. Kana (TU Delft - Ship Design, Production and Operations)

Nikos Papapanagiotou (C-Job Naval Architects)

Thijs Muller (C-Job Naval Architects)

Research Group
Ship Design, Production and Operations
Copyright
© 2020 N.D. Charisi, J.J. Hopman, A.A. Kana, Nikos Papapanagiotou, Thijs Muller
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 N.D. Charisi, J.J. Hopman, A.A. Kana, Nikos Papapanagiotou, Thijs Muller
Research Group
Ship Design, Production and Operations
Pages (from-to)
102-117
ISBN (print)
978-3-89220-718-4
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper proposes a parametric modelling method based on Knowledge Based Engineering (KBE) for an LNG bunkering vessel (LNGBV). Parametric models aim to define the geometry and main systems configuration of the vessel starting from the principle that the vessel should be able to perform its mission successfully. The adoption of KBE in combination with parametric modelling is expected to improve the current practice by automating the generation of the parametric models based on the design requirements. The results showed that different design alternatives can be rapidly generated which in turn gives the possibility to the designer to perform a wide exploration of the preliminary design space.

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