Design optimization of the waterjet-propelled Delft catamaran in calm water using URANS, design of experiments, metamodels and swarm intelligence (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Design optimization of the waterjet-propelled Delft catamaran in calm water using URANS, design of experiments, metamodels and swarm intelligence (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Alternative label

• Chen, Xi; Diez, Matteo; Kandasamy, Manivannan; Campana, Emilio Fortunato; Stern, Frederick (2013)
  Design optimization of the waterjet-propelled Delft catamaran in calm water using URANS, design of experiments, metamodels and swarm intelligence
  in FAST 2013 - 12th International Conference on Fast Sea Transportation
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Chen, Xi; Diez, Matteo; Kandasamy, Manivannan; Campana, Emilio Fortunato; Stern, Frederick (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-84904676964&origin=inward (literal)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• University of Iowa; Huazhong University of Science and Technology; CNR-INSEAN (literal)

Titolo

• Design optimization of the waterjet-propelled Delft catamaran in calm water using URANS, design of experiments, metamodels and swarm intelligence (literal)

Abstract

• A URANS-based design optimization for the waterjet-propelled Delft catamaran is presented. Iterative Latin hypercube and Hammersley sequence are used to generate initial designs; multiple metamodels are applied to reduce the computational cost, whereas a particle swarm method (PSO) is used to solve the optimization problem. The optimization is conducted for the catamaran advancing in calm water at Fr = 0.5, with the model free to sink and trim, and selfpropelled. The waterjet is appended to the optimal barehull obtained by dimensionality reduction of a free-form deformation space through Karhunen-Loève expansion, multiple metamodels and PSOs, which showed a 10% reduction in calm-water resistance (Chen et al., 2013). Two design variables are used for the waterjet design modifications. Optimization achieves a 17.2% reduction in effective pump power, compared to the original barehull with the original waterjet. Compared to earlier optimization, current studies provide an additional reduction in powering requirements by 6%. (literal)

Prodotto di

• Ottimizzazione dei veicoli marini (ET.P02.017.002) (Modulo)

Autore CNR

• MATTEO DIEZ (Unità di personale interno)
• EMILIO FORTUNATO CAMPANA (Unità di personale interno)

Incoming links:

Autore CNR di

• EMILIO FORTUNATO CAMPANA (Unità di personale interno)
• MATTEO DIEZ (Unità di personale interno)

Prodotto

• Ottimizzazione dei veicoli marini (ET.P02.017.002) (Modulo)