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Development of a metamodel assisted sampling approach to aerodynamic shape optimization problems
Amir Safari,Adel Younis,Gary Wang,Hirpa Lemu,Zuomin Dong 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.5
A new metamodel-assisted sampling search approach applied to the aerodynamic shape optimization of turbomachinery airfoils is presentedin this paper. The proposed methodology integrates a non-uniform rational B-spline (NURBS) geometry representation, a twodimensionalflow analysis, and an improved metamodel driven optimization algorithm named approximated promising region identifier(APRI), which represents a momentous advancement of the existing space exploration techniques specifically for the high-dimensionalexpensive black-box (HEB) problems. The novel optimization method prospects the whole design space by generating sample points,reporting evaluating information using a surrogate model, and then focusing the search in the most promising region by deploying moreagents. Using the integration of these adaptive tools and methods, the optimization results are considerably promising in terms of computationalefficiency and performance enhancement of the turbomachinery blade airfoil shape in both design and off-design conditions.