Add to ORKGAn efficient uncertainty quantification method for unsteady problems is presented in order to achieve a constant accuracy in time for a constant number of samples. The approach is applied to the aeroelastic problems of a transonic airfoil flutter system and the AGARD 445.6 wing benchmark with uncertainties in the flow and the structure. I
When modeling physical systems, several sources of uncertainty are present. For example, variability...
The application of a Point-Collocation Non-Intrusive Polynomial Chaos method to the uncertainty quan...
The paper deals with the propagation of uncertainty in input parameters through the aircraft model i...
Abstract. An efficient uncertainty quantification method for unsteady problems is presented in order...
An efficient uncertainty quantification method for unsteady problems is presented in order to achiev...
A robust and efficient uncertainty quantification method is presented for resolving the effect of un...
Abstract. A robust and efficient uncertainty quantification method is presented for re-solving the e...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
In this paper a Two Step approach with Chaos Collocation for efficient uncertainty quantification in...
In this paper a Two-Step approach is presented for uncertainty quantification for expensive problems...
In this paper an efficient framework for uncertainty quantification in computational fluid dynamics ...
The Unsteady Adaptive Stochastic Finite Elements (UASFE) approach is a robust and efficient uncertai...
The cost and turnaround time of the load calculation cycle in the design process of aircraft can be ...
efficient uncertainty quantification in computational fluid dynamics. G.J.A. Loeven1,2 and H. Bijl3 ...
The Unsteady Adaptive Stochastic Finite Elements (UASFE) method resolves the ef-fect of randomness i...
When modeling physical systems, several sources of uncertainty are present. For example, variability...
The application of a Point-Collocation Non-Intrusive Polynomial Chaos method to the uncertainty quan...
The paper deals with the propagation of uncertainty in input parameters through the aircraft model i...
Abstract. An efficient uncertainty quantification method for unsteady problems is presented in order...
An efficient uncertainty quantification method for unsteady problems is presented in order to achiev...
A robust and efficient uncertainty quantification method is presented for resolving the effect of un...
Abstract. A robust and efficient uncertainty quantification method is presented for re-solving the e...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
In this paper a Two Step approach with Chaos Collocation for efficient uncertainty quantification in...
In this paper a Two-Step approach is presented for uncertainty quantification for expensive problems...
In this paper an efficient framework for uncertainty quantification in computational fluid dynamics ...
The Unsteady Adaptive Stochastic Finite Elements (UASFE) approach is a robust and efficient uncertai...
The cost and turnaround time of the load calculation cycle in the design process of aircraft can be ...
efficient uncertainty quantification in computational fluid dynamics. G.J.A. Loeven1,2 and H. Bijl3 ...
The Unsteady Adaptive Stochastic Finite Elements (UASFE) method resolves the ef-fect of randomness i...
When modeling physical systems, several sources of uncertainty are present. For example, variability...
The application of a Point-Collocation Non-Intrusive Polynomial Chaos method to the uncertainty quan...
The paper deals with the propagation of uncertainty in input parameters through the aircraft model i...