This work seeks to provide a proof-of-concept for the use of variable-fidelity (VF) kriging to approximate the lift and drag values for a complex hypersonic flight vehicle. Otherwise known as aerodynamic database generation within the aerospace engineering community, the force or moment experienced by a vehicle due to airflow, as a function of independent inputs such as flight speed or attitude, is approximated via some mathematical form. In the case of this work, VF kriging is implemented such that the vehicle response is interpolated directly through the points of high-fidelity (HF) simulation data while the trends of the response approximation are guided by low-fidelity (LF) information. High-fidelity simulations are implemented via the ...
Aerodynamic analysis in motorsport is conducted using three methods, computational, scaled experimen...
© 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.High-fidel...
In this study multi-fidelity surrogate modelling for combining data sets of wind tunnel experiments ...
A Variable-Fidelity Modeling (VFM) method has been developed as an efficient and accurate aerodynami...
Variable-fidelity surrogate modeling offers an efficient way to generate aerodynamic data for aero-l...
This paper summarizes recent progress in developing meta-models for efficiently predicting the aerod...
AbstractConstructing high approximation accuracy surrogate model with lower computational cost has g...
The cost and turnaround time of the load calculation cycle in the design process of aircraft can be ...
Hypersonic vehicle design is a challenging problem. The main obstacle that makes this work challengi...
International audienceThis chapter describes the methodology used to construct Kriging-based surroga...
The extensive amount of aerodynamic data needed for the creation of a Stability & Control data set r...
In the field of multidisciplinary hypersonic vehicle design, striking the balance between the accura...
AbstractSupersonic vehicles are an important type of potential transports. Analysis of these vehicle...
A variable-fidelity aerodynamic model based on proper orthogonal decomposition (POD) of an ensemble ...
Cokriging is a statistical interpolation method for the enhanced prediction of a less intensively sa...
Aerodynamic analysis in motorsport is conducted using three methods, computational, scaled experimen...
© 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.High-fidel...
In this study multi-fidelity surrogate modelling for combining data sets of wind tunnel experiments ...
A Variable-Fidelity Modeling (VFM) method has been developed as an efficient and accurate aerodynami...
Variable-fidelity surrogate modeling offers an efficient way to generate aerodynamic data for aero-l...
This paper summarizes recent progress in developing meta-models for efficiently predicting the aerod...
AbstractConstructing high approximation accuracy surrogate model with lower computational cost has g...
The cost and turnaround time of the load calculation cycle in the design process of aircraft can be ...
Hypersonic vehicle design is a challenging problem. The main obstacle that makes this work challengi...
International audienceThis chapter describes the methodology used to construct Kriging-based surroga...
The extensive amount of aerodynamic data needed for the creation of a Stability & Control data set r...
In the field of multidisciplinary hypersonic vehicle design, striking the balance between the accura...
AbstractSupersonic vehicles are an important type of potential transports. Analysis of these vehicle...
A variable-fidelity aerodynamic model based on proper orthogonal decomposition (POD) of an ensemble ...
Cokriging is a statistical interpolation method for the enhanced prediction of a less intensively sa...
Aerodynamic analysis in motorsport is conducted using three methods, computational, scaled experimen...
© 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.High-fidel...
In this study multi-fidelity surrogate modelling for combining data sets of wind tunnel experiments ...