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 volumeConference contributionScientificpeer-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 languageEnglish
Title of host publicationProceedings of the 12th Symposium on High-Performance Marine Vehicles, HIPER '20
EditorsVolker Bertram
Place of PublicationHamburg, Germany
PublisherTechnische Universität Hamburg-Harburg
Pages102-117
ISBN (Print)978-3-89220-718-4
Publication statusPublished - 2020
EventHIPER '20: 12th Symposium on High-Performance Marine Vehicles - Cortona , Italy
Duration: 12 Oct 202014 Oct 2020
http://www.hiper-conf.info/

Conference

ConferenceHIPER '20: 12th Symposium on High-Performance Marine Vehicles
CountryItaly
CityCortona
Period12/10/2014/10/20
Internet address

Keywords

  • Maintenance
  • cost model
  • optimization
  • Shipping

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