Titolo:  An investigation of higher-order multi-objective optimisation for 3D aerodynamic shape design
Autori: 
Data di pubblicazione:  2012
Autori:  Kipouros T; Ghisu T ; Parks, G T; Savill A M
Presenza coautori internazionali: 
Lingua:  Inglese
Titolo del libro:  Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
ISBN:  9781600869372
9781600869372
Pagina iniziale:  1
Pagina finale:  9
Numero di pagine:  9
Codice identificativo Scopus:  2-s2.0-84881394664
Revisione (peer review):  Esperti anonimi
Nome del convegno:  53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Periodo del convegno:  2012
Luogo del convegno:  Honolulu, HI, usa
Abstract:  We investigate the performance of different variants of a suitably tailored Tabu Search optimisation algorithm on a higher-order design problem. We consider four objective func- tions to describe the performance of a compressor stator row, subject to a number of equality and inequality constraints. The same design problem has been previously in- vestigated through single-, bi- and three-objective optimisation studies. However, in this study we explore the capabilities of enhanced variants of our Multi-objective Tabu Search (MOTS) optimisation algorithm in the context of detailed 3D aerodynamic shape design. It is shown that with these enhancements to the local search of the MOTS algorithm we can achieve a rapid exploration of complicated design spaces, but there is a trade-off be- tween speed and the quality of the trade-off surface found. Rapidly explored design spaces reveal the extremes of the objective functions, but the compromise optimum areas are not very well explored. However, there are ways to adapt the behaviour of the optimiser and maintain both a very efficient rate of progress towards the global optimum Pareto front and a healthy number of design configurations lying on the trade-off surface and exploring the compromise optimum regions. These compromise solutions almost always represent the best qualitative balance between the objectives under consideration. Such enhancements to the effectiveness of design space exploration make engineering design optimisation with multiple objectives and robustness criteria ever more practicable and attractive for modern advanced engineering design. Finally, new research questions are addressed that highlight the trade-offs between intelligence in optimisation algorithms and acquisition of qualita- tive information through computational engineering design processes that reveal patterns and relations between design parameters and objective functions, but also speed versus optimum quality.
Parole Chiave:  Mechanics of Materials; Mechanical Engineering; Materials Science (all); Aerospace Engineering; Architecture2300 Environmental Science (all)
Tipologia: 4.1 Contributo in Atti di convegno

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