ASOPBS

Aerodynamic Shape Optimization by Physics-Based Surrogates

 Coordinatore HASKOLINN I REYKJAVIK EHF 

 Organization address address: MENNTAVEGUR 1
city: REYKJAVIK
postcode: 101

contact info
Titolo: Mr.
Nome: Bjorgvin
Cognome: Richardsson
Email: send email
Telefono: 3545996200
Fax: 3545996201

 Nazionalità Coordinatore Iceland [IS]
 Totale costo 145˙282 €
 EC contributo 145˙282 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-03-01   -   2015-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    HASKOLINN I REYKJAVIK EHF

 Organization address address: MENNTAVEGUR 1
city: REYKJAVIK
postcode: 101

contact info
Titolo: Mr.
Nome: Bjorgvin
Cognome: Richardsson
Email: send email
Telefono: 3545996200
Fax: 3545996201

IS (REYKJAVIK) coordinator 145˙282.20

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

algorithms    software    fidelity    physics    cfd    aerodynamic    satisfactory    computational    designs    optimization    fuselage    wing    dimensional    models   

 Obiettivo del progetto (Objective)

'The main objective of the research project is to develop computationally efficient and robust procedures and algorithms for aerodynamic shape optimization using high-fidelity computational fluid dynamic (CFD) simulators that would go beyond the current state of the art and its limitations. The developed methodology will handle both two-dimensional and three dimensional aerodynamic/hydrodynamic surfaces, such as airfoils, wings, wing/fuselage, wing/fuselage/nacelle/pylon, turbomachinery blades, and submersibles. The critical task is to obtain satisfactory designs at a reasonable computational cost (in terms of the number of high-fidelity CFD simulations). To achieve the objective physics based surrogate optimization technique that combines the speed of the low-fidelity models with the accuracy of the CPU-intensive high-fidelity ones will be adopted. A special emphasis will be on finding ways to fully employ the embedded knowledge within the physics-bases surrogates to achieve a low computational cost of the overall design optimization. In particular, this will involve the development of new methodologies for generating cheap and robust low-fidelity models, and, equally important, reliable and accurate response correction techniques for aerodynamic responses. The developed procedures will be implemented in a software package for automated aerodynamic design . The programming environment used in the project is Matlab. The aerodynamic design procedures, as well as their software implementation, will be subjected to extensive numerical verification using a set of benchmark problems involving 2D and 3D cases for subsonic and transonic conditions. The goal will be to verify the ability of the procedures and algorithms to yield satisfactory and feasible designs at low computational cost. The performance of our algorithms will be compared to state-of-the-art methodologies described in literature. Then the methodologies will be applied to relevant industry design problems.'

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