During the development of an aircraft, comprehensive aerodynamic datasets are required for performance, loads or handling qualities simulations. The required data can be obtained, e. g., by Computational Fluid Dynamics (CFD) or wind tunnel testing. To combine datasets of different fidelity or resolution a Gappy-POD method based on Proper Orthogonal Decomposition (POD) is exploited. In a second step different regularization schemes for the linear least squares problem are analyzed. The pressure distribution of the flap of a transport aircraft wing is used as a test case. Results for the ordinary Gappy-POD solution as well as for two regularization schemes are presented
The proper orthogonal decomposition (POD) has been widely used in fluid dynamic applications for ext...
Abstract — The proper orthogonal decomposition (POD) has been widely used in fluid dynamic applicati...
Abstract—The main goal of present paper is to construct an efficient reduced order model (ROM) for a...
In this article gappy proper orthogonal decomposition (POD) is used to fuse wind-tunnel measurements...
Gappy Proper Orthogonal Decomposition (POD) is a simple but powerful method for data fusion and offe...
During the development of an aircraft, a multitude of aerodynamic data is required for different fli...
The concept of Proper Orthogonal Decomposition (POD) is used to integrate Experimental Fluid Dynamic...
The gappy proper orthogonal decomposition (POD) proposed and explained in detail in Bui-Thanh et al....
In the aerospace industry, experiments and flight tests are expensive, often inaccurate and incomple...
AbstractA reduced order modelling approach for predicting steady aerodynamic flows and loads data ba...
Aerodynamic load determination through integration of the surface pressure distribution is limited i...
Abstract—Two extensions to the proper orthogonal decomposi-tion (POD) technique are considered for s...
A reduced-order modelling (ROM) approach for predicting steady, turbulent aerodynamic flows based on...
A proper orthogonal decomposition (POD) method is used to interpolate the flow around an airfoil for...
A reduced order modelling approach for predicting steady aerodynamic flows and loads data based on C...
The proper orthogonal decomposition (POD) has been widely used in fluid dynamic applications for ext...
Abstract — The proper orthogonal decomposition (POD) has been widely used in fluid dynamic applicati...
Abstract—The main goal of present paper is to construct an efficient reduced order model (ROM) for a...
In this article gappy proper orthogonal decomposition (POD) is used to fuse wind-tunnel measurements...
Gappy Proper Orthogonal Decomposition (POD) is a simple but powerful method for data fusion and offe...
During the development of an aircraft, a multitude of aerodynamic data is required for different fli...
The concept of Proper Orthogonal Decomposition (POD) is used to integrate Experimental Fluid Dynamic...
The gappy proper orthogonal decomposition (POD) proposed and explained in detail in Bui-Thanh et al....
In the aerospace industry, experiments and flight tests are expensive, often inaccurate and incomple...
AbstractA reduced order modelling approach for predicting steady aerodynamic flows and loads data ba...
Aerodynamic load determination through integration of the surface pressure distribution is limited i...
Abstract—Two extensions to the proper orthogonal decomposi-tion (POD) technique are considered for s...
A reduced-order modelling (ROM) approach for predicting steady, turbulent aerodynamic flows based on...
A proper orthogonal decomposition (POD) method is used to interpolate the flow around an airfoil for...
A reduced order modelling approach for predicting steady aerodynamic flows and loads data based on C...
The proper orthogonal decomposition (POD) has been widely used in fluid dynamic applications for ext...
Abstract — The proper orthogonal decomposition (POD) has been widely used in fluid dynamic applicati...
Abstract—The main goal of present paper is to construct an efficient reduced order model (ROM) for a...