7   Artículos

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en línea
Jiangtao Chen, Jiao Zhao, Wei Xiao, Luogeng Lv, Wei Zhao and Xiaojun Wu    
Given the randomness inherent in fluid dynamics problems and limitations in human cognition, Computational Fluid Dynamics (CFD) modeling and simulation are afflicted with non-negligible uncertainties, casting doubts on the credibility of CFD. Scientifica... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
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
Revista: Aerospace    Formato: Electrónico

 
en línea
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
Revista: Applied Sciences    Formato: Electrónico

 
en línea
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
Revista: Algorithms    Formato: Electrónico

 
en línea
Sihmehmet Yildiz, Hayriye Pehlivan Solak and Melike Nikbay    
Uncertainty quantification has proven to be an indispensable study for enhancing reliability and robustness of engineering systems in the early design phase. Single and multi-fidelity surrogate modelling methods have been used to replace the expensive hi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
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
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
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
Revista: Algorithms    Formato: Electrónico

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