Results 41 to 50 of about 3,846 (183)
Quantification of airfoil geometry-induced aerodynamic uncertainties - comparison of approaches [PDF]
, 2016 Uncertainty quantification in aerodynamic simulations calls for efficient numerical methods since it is computationally expensive, especially for the uncertainties caused by random geometry variations which involve a large number of variables. This paper
Litvinenko, Alexander +3 more
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A posteriori error estimation for stochastic static problems [PDF]
, 2014 To solve stochastic static field problems, a discretization by the Finite Element Method can be used. A system of equations is obtained with the unknowns (scalar potential at nodes for example) being random variables. To solve this stochastic system, the
CLENET, Stéphane, MAC, Hung
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A stochastic framework to model bending of textile antennas [PDF]
, 2014 The polynomial chaos expansion is combined with a dedicated cylindrical cavity model to quantify the statistical variations in textile antenna performance under random bending ...
Boeykens, Freek +4 more
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Applied Sciences, 2022 Selective laser melting (SLM) is a metal-based additive manufacturing (AM) technique. Many factors contribute to the output quality of SLM, particularly the machine and material parameters.
Shubham Chaudhry, Azzeddine Soulaïmani
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Fluids, 2023 This paper investigates the adequacy of radial basis function (RBF)-based models as surrogates in uncertainty quantification (UQ) and CFD shape optimization; for the latter, problems with and without uncertainties are considered. In UQ, these are used to
Varvara Asouti +2 more
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Coordinate Transformation and Polynomial Chaos for the Bayesian Inference of a Gaussian Process with Parametrized Prior Covariance Function [PDF]
, 2015 This paper addresses model dimensionality reduction for Bayesian inference based on prior Gaussian fields with uncertainty in the covariance function hyper-parameters.
Hoteit, Ibrahim +3 more
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AERODYNAMIC SHAPE OPTIMIZATION UNDER FLOW UNCERTAINTIES USING NON-INTRUSIVE POLYNOMIAL CHAOS AND EVOLUTIONARY ALGORITHMS [PDF]
Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017), 2017 Abstract Uncertainties, in the form of either non–predictable shape imperfections (manufacturing) or flow conditions which are not absolutely fixed (environmental) are involved in all aerodynamic shape optimization problems. In this paper, a work- flow for performing aerodynamic shape optimization under uncertainties, by taking manufacturing ...
Liatsikouras A.G +4 more
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Evaluation of Non-Intrusive Approaches for Wiener-Askey Generalized Polynomial Chaos
49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference <br> 16th AIAA/ASME/AHS Adaptive Structures Conference<br> 10t, 2008 Polynomial chaos expansions (PCE) are an attractive technique for uncertainty quantification (UQ) due to their strong mathematical basis and ability to produce functional representations of stochastic variability. When tailoring the orthogonal polynomial bases to match the forms of the input uncertainties in a Wiener-Askey scheme, excellent convergence
Michael Eldred +2 more
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Local/global non-intrusive coupling strategy for robust design: a first attempt
Advanced Modeling and Simulation in Engineering SciencesThis work investigates how non-intrusive local/global coupling strategies can be applied in the context of robust design. The objective is to propagate uncertainties from the local to the global scale using non-intrusive techniques, in order to estimate ...
Léa Karaouni +3 more
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Stochastic collocation on unstructured multivariate meshes
, 2015 Collocation has become a standard tool for approximation of parameterized systems in the uncertainty quantification (UQ) community. Techniques for least-squares regularization, compressive sampling recovery, and interpolatory reconstruction are becoming ...
Narayan, Akil, Zhou, Tao
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