The Unsteady Adaptive Stochastic Finite Elements (UASFE) method resolves the ef-fect of randomness in numerical simulations of single-mode aeroelastic responses with a constant accuracy in time for a constant number of samples. In this paper, the UASFE framework is extended to multi-frequency responses and continuous structures by employ-ing a wavelet decomposition pre-processing step to decompose the sampled multi-frequency signals into single-frequency components. The effect of the randomness on the multi-frequency response is then obtained by summing the results of the UASFE interpolation at constant phase for the different frequency components. Results are presented for the three-dimensional transonic AGARD 445.6 wing aeroelastic benchm...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
Abstract. A robust and efficient uncertainty quantification method is presented for re-solving the e...
To accurately predict the performance of physical systems, it becomes essential for one to include t...
The Unsteady Adaptive Stochastic Finite Elements (UASFE) approach is a robust and efficient uncertai...
Abstract. The Unsteady Adaptive Stochastic Finite Elements (UASFE) approach is a robust and efficien...
An efficient uncertainty quantification method for unsteady problems is presented in order to achiev...
In this work a novel adaptive strategy for stochastic problems, inspired to the classical Harten's f...
In this work a novel adaptive strategy for stochastic problems, inspired from the classical Hartenʼs...
An efficient uncertainty quantification method for unsteady problems is presented in order to achiev...
In this work, a stochastic finite element method based on first order perturbation approach is devel...
A robust and efficient uncertainty quantification method is presented for resolving the effect of un...
The cost and turnaround time of the load calculation cycle in the design process of aircraft can be ...
Abstract. An efficient uncertainty quantification method for unsteady problems is presented in order...
Response of flexible structures — such as cable-supported bridges and aircraft wings — is associated...
The field of fluid-structure interaction is combined with the field of stochastics to perform a stoc...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
Abstract. A robust and efficient uncertainty quantification method is presented for re-solving the e...
To accurately predict the performance of physical systems, it becomes essential for one to include t...
The Unsteady Adaptive Stochastic Finite Elements (UASFE) approach is a robust and efficient uncertai...
Abstract. The Unsteady Adaptive Stochastic Finite Elements (UASFE) approach is a robust and efficien...
An efficient uncertainty quantification method for unsteady problems is presented in order to achiev...
In this work a novel adaptive strategy for stochastic problems, inspired to the classical Harten's f...
In this work a novel adaptive strategy for stochastic problems, inspired from the classical Hartenʼs...
An efficient uncertainty quantification method for unsteady problems is presented in order to achiev...
In this work, a stochastic finite element method based on first order perturbation approach is devel...
A robust and efficient uncertainty quantification method is presented for resolving the effect of un...
The cost and turnaround time of the load calculation cycle in the design process of aircraft can be ...
Abstract. An efficient uncertainty quantification method for unsteady problems is presented in order...
Response of flexible structures — such as cable-supported bridges and aircraft wings — is associated...
The field of fluid-structure interaction is combined with the field of stochastics to perform a stoc...
Physical uncertainties due to atmospheric variations and production tolerances can nowadays have a l...
Abstract. A robust and efficient uncertainty quantification method is presented for re-solving the e...
To accurately predict the performance of physical systems, it becomes essential for one to include t...
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