|
|
|
|
|
Vinh Pham, Maxim Tyan, Tuan Anh Nguyen and Jae-Woo Lee
Multi-fidelity surrogate modeling (MFSM) methods are gaining recognition for their effectiveness in addressing simulation-based design challenges. Prior approaches have typically relied on recursive techniques, combining a limited number of high-fidelity...
ver más
|
|
|
|
|
|
|
|
|
|
|
Emanuele Spinosa, Riccardo Pellegrini, Antonio Posa, Riccardo Broglia, Mario De Biase and Andrea Serani
The paper presents the use of a supervised active learning approach for the solution of a simulation-driven design optimization (SDDO) problem, pertaining to the resistance reduction of a destroyer-type vessel in calm water. The optimization is formulate...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohsen Rostami, Julian Bardin, Daniel Neufeld and Joon Chung
Recent development in Electric Vertical Take-off and Landing (eVTOL) aircraft makes it a popular design approach for urban air mobility (UAM). When designing these configurations, due to the uncertainty present in semi-empirical estimations, often used f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Stanislav Karpuk, Yiyuan Ma and Ali Elham
Present work investigates the potential of a long-range commercial blended wing body configuration powered by hydrogen combustion engines with future airframe and propulsion technologies. Future technologies include advanced materials, load alleviation t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrew S. Thelen, Dean E. Bryson, Bret K. Stanford and Philip S. Beran
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is excessively costly. The analysis of the governing physics is expensive, in particular for highly flexible aircraft, and the search for optima using analy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Markus P. Rumpfkeil, Dean Bryson and Phil Beran
In this article, multi-fidelity kriging and sparse polynomial chaos expansion (SPCE) surrogate models are constructed. In addition, a novel combination of the two surrogate approaches into a multi-fidelity SPCE-Kriging model will be presented. Accurate s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Angelos Kafkas, Spyridon Kilimtzidis, Athanasios Kotzakolios, Vassilis Kostopoulos and George Lampeas
Efficient optimization is a prerequisite to realize the full potential of an aeronautical structure. The success of an optimization framework is predominately influenced by the ability to capture all relevant physics. Furthermore, high computational effi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aldo Serafino, Benoit Obert and Paola Cinnella
Efficient Robust Design Optimization (RDO) strategies coupling a parsimonious uncertainty quantification (UQ) method with a surrogate-based multi-objective genetic algorithm (SMOGA) are investigated for a test problem in computational fluid dynamics (CFD...
ver más
|
|
|
|
|
|
|
|
|
|
|
Stanislav Karpuk, Yaolong Liu and Ali Elham
The German Cluster of Excellence SE²A (Sustainable and Energy Efficient Aviation) is established in order to investigate the influence of game-changing technologies on the energy efficiency of future transport aircraft. In this paper, the preliminary inv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Atthaphon Ariyarit and Masahiro Kanazaki
In this study, efficient global optimization (EGO) with a multi-fidelity hybrid surrogate model for multi-objective optimization is proposed to solve multi-objective real-world design problems. In the proposed approach, a design exploration is carried ou...
ver más
|
|
|
|
|
|