Li Ch. A surrogate-based framework with hybrid refinement strategies for aerodynamic shape optimization: Diss. … Dr.-Ing. / Deutsches Zentrum für Luft- und Raumfahrt, Institut für Aerodynamik und Strömungstechnik, Braunschweig. - Köln: DLR, Bibliotheks- und Informationswesen, 2013. - vi, 100 p.: ill., graph., tabl. - (Forschungsbericht; 2013-16). - Ref.: p.95-99. - ISSN 1434-8454  Место хранения:   061 | Институт оптики атмосферы CO РАН | Томск | Библиотека

Оглавление / Contents

Nomenclature ................................................... II 1 Introduction ................................................. 1 1.1 Problem description ..................................... 2 1.2 Literature survey ....................................... 4 1.3 Thesis motivation ....................................... 4 1.4 Thesis overview ......................................... 4 2 Aerodynamic shape optimization ............................... 7 2.1 Model construction of optimization problems ............. 7 2.2 Aerodynamic shape parameterization ...................... 8 2.3 Mesh generation & flow simulation ...................... 11 2.4 Optimization algorithms ................................ 13 2.5 Examples for optimizing a deceptive function for a 4-digit NACA profile ................................... 17 3 Surrogate-based optimization ................................ 21 3.1 Overview ............................................... 21 3.2 Design of experiment ................................... 22 3.3 Surrogate models ....................................... 25 3.4 Refinement strategies .................................. 27 3.5 Imputation of missing data ............................. 30 3.6 Convergence criteria ................................... 31 3.7 Examples for optimizing a deceptive function for a 4-digit NACA profile ................................... 32 4 Hybrid strategies for global optimization based on surrogate model ............................................. 37 4.1 Hybrid refinement strategies ............................ 37 4.2 Enhanced hybrid sample refinement strategies ........... 42 4.3 Refinement for problems in multiple-dimensional design space ........................................... 47 4.4 Experience in setting refinement process ............... 51 5 Framework ................................................... 53 5.1 Introduction ........................................... 53 5.2 Structure of the framework ............................. 53 5.3 Application of the framework ........................... 54 6 Test cases .................................................. 61 6.1 Minimization of the drag for a NLF0416 profile with 10 design variables .................................... 61 6.2 Minimization of the drag for.a RAE2822 profile with many design variables .................................. 65 6.3 Optimization of the take-off performance for a high- lift profile with constraints .......................... 69 6.4 Optimization design of a laminar profile at two design points .......................................... 79 7 Concluding remarks .......................................... 91 7.1 Achievements ........................................... 91 7.2 Conclusions ............................................ 92 7.3 Outlook ................................................ 93 References ..................................................... 95