Abstract—Two extensions to the proper orthogonal decomposi-tion (POD) technique are considered for steady transonic aerody-namic applications. The first is to couple the POD approach with a cubic spline interpolation procedure in order to develop fast, low-order models that accurately capture the variation in parameters, such as the angle of attack or inflow Mach number. The second extension is a POD technique for the reconstruction of incomplete or inaccurate aerodynamic data. First, missing flow field data is constructed with an existing POD basis constructed from complete aerodynamic data. Second, a technique is used to develop a com-plete snapshots from an incomplete set of aerodynamic snapshots. I
AbstractA reduced order modelling approach for predicting steady aerodynamic flows and loads data ba...
In this paper we propose a methodology for the efficient and robust computation of the aerodynamics ...
In aerodynamic applications, many model reduction methods use proper orthogonal decomposition (POD)....
Two extensions to the proper orthogonal decomposition (POD) technique are considered for steady tran...
A proper orthogonal decomposition (POD) method is used to interpolate the flow around an airfoil for...
ABSTRACT: A proper orthogonal decomposition (POD) method is used to interpolate the flow around an a...
AbstractIn this paper, flow reconstruction accuracy and flow prediction capability of discontinuous ...
The concept of Proper Orthogonal Decomposition (POD) is used to integrate Experimental Fluid Dynamic...
Computation for Engineered Systems (HPCES) The development and application of model reduction techni...
Via the proper orthogonal decomposition (POD) solving the full-order governing equations of Computa...
Abstract—The main goal of present paper is to construct an efficient reduced order model (ROM) for a...
A reduced-order modelling (ROM) approach for predicting steady, turbulent aerodynamic flows based on...
The gappy proper orthogonal decomposition (POD) proposed and explained in detail in Bui-Thanh et al....
The modal decomposition of unsteady flowfields was proposed in the 1990s by several authors. Proper ...
A reduced order modelling approach for predicting steady aerodynamic flows and loads data based on C...
AbstractA reduced order modelling approach for predicting steady aerodynamic flows and loads data ba...
In this paper we propose a methodology for the efficient and robust computation of the aerodynamics ...
In aerodynamic applications, many model reduction methods use proper orthogonal decomposition (POD)....
Two extensions to the proper orthogonal decomposition (POD) technique are considered for steady tran...
A proper orthogonal decomposition (POD) method is used to interpolate the flow around an airfoil for...
ABSTRACT: A proper orthogonal decomposition (POD) method is used to interpolate the flow around an a...
AbstractIn this paper, flow reconstruction accuracy and flow prediction capability of discontinuous ...
The concept of Proper Orthogonal Decomposition (POD) is used to integrate Experimental Fluid Dynamic...
Computation for Engineered Systems (HPCES) The development and application of model reduction techni...
Via the proper orthogonal decomposition (POD) solving the full-order governing equations of Computa...
Abstract—The main goal of present paper is to construct an efficient reduced order model (ROM) for a...
A reduced-order modelling (ROM) approach for predicting steady, turbulent aerodynamic flows based on...
The gappy proper orthogonal decomposition (POD) proposed and explained in detail in Bui-Thanh et al....
The modal decomposition of unsteady flowfields was proposed in the 1990s by several authors. Proper ...
A reduced order modelling approach for predicting steady aerodynamic flows and loads data based on C...
AbstractA reduced order modelling approach for predicting steady aerodynamic flows and loads data ba...
In this paper we propose a methodology for the efficient and robust computation of the aerodynamics ...
In aerodynamic applications, many model reduction methods use proper orthogonal decomposition (POD)....