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Edeling, W.N. (author)The goal of this thesis is to make predictive simulations with Reynolds-Averaged Navier-Stokes (RANS) turbulence models, i.e. simulations with a systematic treatment of model and data uncertainties and their propagation through a computational model to produce predictions of quantities of interest with quantified uncertainty. To do so, we make...doctoral thesis 2015
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Perkó, Z. (author)This thesis presents novel adjoint and spectral methods for the sensitivity and uncertainty (S&U) analysis of multi-physics problems encountered in the field of reactor physics. The first part focuses on the steady state of reactors and extends the adjoint sensitivity analysis methods well established for pure neutron transport problems to...doctoral thesis 2015
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Sciacchitano, A. (author)Particle Image Velocimetry (PIV) is a well-established technique for the measurement of the flow velocity in a two or three-dimensional domain. As in any other technique, PIV data is affected by measurement errors, defined as the difference between the measured velocity and its actual value, which is unknown. Aim of uncertainty quantification is...doctoral thesis 2014
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- Javed, A. (author) doctoral thesis 2014
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Scheel, F. (author), De Boer, W.P. (author), Brinkman, R. (author), Luijendijk, A.P. (author), Ranasinghe, R.W.M.R.J.B. (author)A variety of uncertainty sources are inherent in process-based morphodynamic modelling applications. There is an increasing demand for the quantification of these uncertainties. This contribution introduces a probabilistic-morphodynamic (PM) modelling framework that enables this quantification. The PM modelling framework provides a systematic...conference paper 2014
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Ensing, J.J. (author)Upstream oil companies in the Middle East are more frequently confronted with decisions on continuing the oil production of mature oil fields. The low production rates of mature fields generate low revenues. Considerable investments are often needed to continue with the production of oil at a mature field until the field is depleted because the...master thesis 2013
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Patriarca, C. (author)The non-destructive evaluation with the aim of characterizing objects before or after treatment has taken place, and the monitoring of long-term performance is analyzed in this thesis. Generally, these test methods measure material properties or changes in these properties that decision makers are interested in. There is a variety of non...doctoral thesis 2013
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Gilli, L. (author)This thesis presents the development and the implementation of an uncertainty propagation algorithm based on the concept of spectral expansion. The first part of the thesis is dedicated to the study of uncertainty propagation methodologies and to the analysis of spectral techniques. The concepts introduced within this preliminary analysis are...doctoral thesis 2013
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Loeven, G.J.A. (author)When modeling physical systems, several sources of uncertainty are present. For example, variability in boundary conditions like free stream velocity or ambient pressure are always present. Furthermore, uncertainties in geometry arise from production tolerances, wear or unknown deformations under loading. Uncertainties in computational fluid...doctoral thesis 2010
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Loeven, G.J.A. (author), Bijl, H. (author)In this paper a Two-Step approach is presented for uncertainty quantification for expensive problems with multiple uncertain parameters. Both steps are performed using the Probabilistic Collocation method. The first step consists of a sensitivity analysis to identify the most important parameters of the problem. The sensitivity derivatives are...journal article 2009
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Witteveen, J.A.S. (author), Bijl, H. (author)The Unsteady Adaptive Stochastic Finite Elements (UASFE) approach is a robust and efficient uncertainty quantification method for resolving the effect of random parameters in unsteady simulations. In this paper, it is shown that the underlying Adaptive Stochastic Finite Elements (ASFE) method for steady problems based on Newton-Cotes quadrature...journal article 2009
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Witteveen, J.A.S. (author), Bijl, H. (author)An 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.conference paper 2009
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Witteveen, J.A.S. (author), Bijl, H. (author)A robust and efficient uncertainty quantification method is presented for resolving the effect of uncertainty on the behavior of multi-physics systems. The extrema diminishing method in probability space maintains a bounded error due to the interpolation of deterministic samples at constant phase in a transonic airfoil flutter problem.conference paper 2009
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Witteveen, J.A.S. (author), Bijl, H. (author)A monomial chaos approach is presented for efficient uncertainty quantification in nonlinear computational problems. Propagating uncertainty through nonlinear equations can be computationally intensive for existing uncertainty quantification methods. It usually results in a set of nonlinear equations which can be coupled. The proposed monomial...journal article 2008
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- Witteveen, J.A.S. (author), Bijl, H. (author) conference paper 2008
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- Elfeki, A.M.M. (author), Dekking, F.M. (author) journal article 2007
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Witteveen, J.A.S. (author), Bijl, H. (author)A monomial chaos approach is proposed for efficient uncertainty quantification in nonlinear computational problems. Propagating uncertainty through nonlinear equations can still be computationally intensive for existing uncertainty quantification methods. It usually results in a set of nonlinear equations which can be coupled. The proposed...conference paper 2006
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Loeven, A. (author), Witteveen, J.A.S. (author), Bijl, H. (author)In this paper a Two Step approach with Chaos Collocation for efficient uncertainty quantification in computational fluid-structure interactions is followed. In Step I, a Sensitivity Analysis is used to efficiently narrow the problem down from multiple uncertain parameters to one parameter which has the largest influence on the solution. In Step...conference paper 2006
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Witteveen, J.A.S. (author), Bijl, H. (author)A monomial chaos approach is proposed for efficient uncertainty quantification in nonlinear computational problems. Propagating uncertainty through nonlinear equations can still be computationally intensive for existing uncertainty quantification methods. It usually results in a set of nonlinear equations which can be coupled. The proposed...conference paper 2006
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Witteveen, J.A.S. (author), Bijl, H. (author)Inherent physical uncertainties can have a significant influence on computational predictions. It is therefore important to take physical uncertainties into account to obtain more reliable computational predictions. The Galerkin polynomial chaos method is a commonly applied uncertainty quantification method. However, the polynomial chaos...conference paper 2006