Parametric modelling method based on Knowledge Based Engineering:: The LNG bunkering vessel case

N.D. Charisi; J.J. Hopman; A.A. Kana; Nikos Papapanagiotou; Thijs  Muller

Parametric modelling method based on Knowledge Based Engineering: The LNG bunkering vessel case

N.D. Charisi, J.J. Hopman, A.A. Kana, Nikos Papapanagiotou, Thijs Muller

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	Proceedings of the 12th Symposium on High-Performance Marine Vehicles, HIPER '20
Editors	Volker Bertram
Place of Publication	Hamburg, Germany
Publisher	Technische Universität Hamburg-Harburg
Pages	102-117
ISBN (Print)	978-3-89220-718-4
Publication status	Published - 2020
Event	HIPER '20: 12th Symposium on High-Performance Marine Vehicles - Cortona , Italy Duration: 12 Oct 2020 → 14 Oct 2020 http://www.hiper-conf.info/

Conference

Conference	HIPER '20: 12th Symposium on High-Performance Marine Vehicles
Country/Territory	Italy
City	Cortona
Period	12/10/20 → 14/10/20
Internet address	http://www.hiper-conf.info/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

Maintenance
cost model
optimization
Shipping

Access to Document

Paper Hiper2020_Cortona-4Final published version, 702 KB

Cite this

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title = "Parametric modelling method based on Knowledge Based Engineering:: The LNG bunkering vessel case",

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.",

keywords = "Maintenance, cost model, optimization, Shipping",

author = "N.D. Charisi and J.J. Hopman and A.A. Kana and Nikos Papapanagiotou and Thijs Muller",

year = "2020",

language = "English",

isbn = "978-3-89220-718-4",

pages = "102--117",

editor = "Bertram, \{Volker \}",

booktitle = "Proceedings of the 12th Symposium on High-Performance Marine Vehicles, HIPER '20",

publisher = "Technische Universit{\"a}t Hamburg-Harburg",

note = "HIPER '20: 12th Symposium on High-Performance Marine Vehicles ; Conference date: 12-10-2020 Through 14-10-2020",

url = "http://www.hiper-conf.info/",

}

Charisi, ND, Hopman, JJ , Kana, AA, Papapanagiotou, N & Muller , T 2020, Parametric modelling method based on Knowledge Based Engineering: The LNG bunkering vessel case. in V Bertram (ed.), Proceedings of the 12th Symposium on High-Performance Marine Vehicles, HIPER '20. Technische Universität Hamburg-Harburg, Hamburg, Germany, pp. 102-117, HIPER '20: 12th Symposium on High-Performance Marine Vehicles , Cortona , Italy, 12/10/20.

Parametric modelling method based on Knowledge Based Engineering: The LNG bunkering vessel case. / Charisi, N.D.; Hopman, J.J.; Kana, A.A. et al.
Proceedings of the 12th Symposium on High-Performance Marine Vehicles, HIPER '20. ed. / Volker Bertram. Hamburg, Germany: Technische Universität Hamburg-Harburg, 2020. p. 102-117.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Hopman, J.J.

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AU - Papapanagiotou, Nikos

AU - Muller , Thijs

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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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KW - cost model

KW - optimization

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BT - Proceedings of the 12th Symposium on High-Performance Marine Vehicles, HIPER '20

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