Publicaties
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Uncertainty quantification of extrapolation techniques for bonded anchors Universiteit Gent
The multi-decade deformation prediction of bonded anchors under sustained load is paramount to the safe and economical design of civil structures, especially for adhesive anchors. Yet, there is considerable lack of guidelines on how to actually predict the life-time performance of such systems given various installation and in-service conditions, the aging visco-elastic nature of both in-volved materials – concrete and polymer-based mortar – and ...
Uncertainty quantification for the aeroacoustics of rotating blades in the time domain Vrije Universiteit Brussel
Aeroacoustics has received great attention in the past decade, owing to the ever stricter noise regulations. Despite the stochastic nature of most aeroacoustic systems, non-deterministic investigations in regards to computational aeroacoustics (CAA) are limited. In this paper, uncertainty quantification has been achieved for the noise propagation stage of hybrid CAA, and also on the noise prediction of a non-lifting helicopter rotor in hover. ...
Application of Bound-to-Bound Data Collaboration approach for development and uncertainty quantification of a reduced char combustion model Vrije Universiteit Brussel
The development of efficient industrial oxy-coal boilers can be significantly aided by Computational Fluid Dynamics (CFD) tools, as far as fidelity in modeling coal combustion is also complemented by feasible computational costs. Reduced and predictive models are the most suitable for this application scale. Reduced models feature predictivity when they are validated against a broad range of experiments and targeted by Uncertainty ...
Uncertainty quantification of the wall thickness and stiffness in an idealized dissected aorta Universiteit Gent KU Leuven
Personalized treatment informed by computational models has the potential to markedly improve the outcome for patients with a type B aortic dissection. However, existing computational models of dissected walls significantly simplify the characteristic false lumen, tears and/or material behavior. Moreover, the patient-specific wall thickness and stiffness cannot be accurately captured non-invasively in clinical practice, which inevitably leads to ...
Techno-economic uncertainty quantification and robust design optimization of a directly coupled photovoltaic-electrolyzer system Vrije Universiteit Brussel
To solve the problem of large time shifts between renewable energy supply and user demand, power-to-H2 is a well-known option. In this framework, previous studies have shown that the direct coupling of a photovoltaic array with an electrolyzer stack is a viable solution. However, these studies assumed perfectly known operating parameters to optimize the setup. Moreover, they focused on maximizing hydrogen and minimizing the energy loss, while ...
Uncertainty quantification of creep in concrete by Taylor series expansion Universiteit Gent
If deterministic creep prediction models are compared with actual measurements data, often significant differences can be observed. These inconsistencies are associated to various uncertainties. First, the physical mechanism causing creep of concrete is not yet fully understood. Hence, uncertainty of prediction models can be attributed to an insufficient description of the physical mechanism causing creep. it is very likely that certain ...
A perturbative stochastic Galerkin method for the uncertainty quantification of linear circuits Universiteit Gent
This paper presents an iterative and decoupled perturbative stochastic Galerkin (SG) method for the variability analysis of stochastic linear circuits with a large number of uncertain parameters. State-of-the-art implementations of polynomial chaos expansion and SG projection produce a large deterministic circuit that is fully coupled, thus becoming cumbersome to implement and inefficient to solve when the number of random parameters is large. ...
Monte Carlo-based a posteriori uncertainty quantification for background-oriented schlieren measurements Vrije Universiteit Brussel
Background-oriented schlieren (BOS) technique is a density-based optical measurement technique. BOS measurement is similar to particle image velocimetry (PIV) ones in terms of experiments design and the computation of the displacements. However, in the BOS technique, the reconstruction of the refractive index field involves further mathematical calculations, which depend on the flow geometry, such as Poisson solver, Abel inversion, algebraic ...