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Vrijkorte, H.J. (author)
This research is aimed at the development of the novel least-squares method with blended hierarchical basis functions (ls-bhbf method), combining blended hierarchical basis functions (bhbf's) with the proven least-squares spectral element method. The ls-bhbf method is not based on standard elements and is therefore ideally suited to model...
master thesis 2010
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Vrijkorte, H.J. (author)
This research is aimed at the development of the novel least-squares method with blended hierarchical basis functions (ls-bhbf method), combining blended hierarchical basis functions (bhbf's) with the proven least-squares spectral element method. The ls-bhbf method is not based on standard elements and is therefore ideally suited to model...
master thesis 2010
document
Mattei, S. (author)
master thesis 2010
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Schneiders, J.F.G. (author)
Measurement rate limitations of time-resolved 3D-3C velocity measurements by tomographic PIV limit application of the technique to small measurement volumes and low speed flows (~10 m/s). To reduce the challenging repetition rate requirements historically set by the Nyquist criterion, in the present thesis work a novel method is proposed,...
master thesis 2014
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Todarello, Giovanni (author)
In the present thesis report the author synthetizes 9 months of work at the DSNA department of ONERA in Chatillon, France. The topic of the thesis is goal oriented mesh adaptation with particular application to unstructured grids and to _nite volume methods. The motivation of the present work is the application to unstructured meshes of a novel...
master thesis 2014
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Kwanten, Bert (author)
Scientists and engineers use observations, mathematical and computational models to predict the behaviour of physical realities such as turbulent ows. However, as a consequence of observational errors, errors in the mathematical models and discretisation errors in the computational models, our knowledge about what happens in reality is imperfect...
master thesis 2014
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He, D. (author)
The main objective of this thesis project is to establish an optimization framework that can carry out robust aerodynamic design tasks. The work is based on the single-point optimization module of the SU2 code, which contains the partial differential equation solver for flow evaluation and gradient calculation based on the adjoint method. The...
master thesis 2015
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Gheyssens, T. (author)
Due to the awareness of climate change, more sustainable and efficient ways of transport are needed. The most polluting road transport mode in the European Union are the long-haul tractor-trailer combinations. This study will investigate the aerodynamic characteristics of three vehicles in a platoon subjected to cross wind conditions. The effect...
master thesis 2016
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Satheesh Kumar Nair, V. (author)
High-order numerical methods for Computational Fluid Dynamics have undergone significant fundamental developments over the last two decades owing to combined efforts from the applied mathematics and engineering communities. Even though low-order numerical methods are still the standard in industry, the increased requirements of engineering...
master thesis 2016
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Cui, L. (author)
In computational aeroelasticity, unsteady aerodynamics is computationally expensive compared to the structural calculation. This problem becomes more severe for prediction of flutter or Limit-Cycle oscillation (LCO), which requires multiple runs of simulations at various flow conditions. The former can be captured by linear computational...
master thesis 2016
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Ubbens, H.H. (author)
Bobsleighing is one of the fastest winter sports and races are decided within seconds over total times up to four minutes. Therefore marginal gains in performance of the bobsleigh and its crew can determine the race outcome. In order to improve the performance of a bobsleigh the aerodynamic drag can be investigated. A bobsleigh consists of two...
master thesis 2016
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Vonck, F.W.J. (author)
master thesis 2016
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Koers, A.J. (author)
master thesis 2017
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Kruijssen, F. (author)
With the increasing temperature due to global warming CO2 emissions have to be reduced. Tractor-trailers are very fuel inefficient making them a good candidate for drag reducing devices to reduce fuel use. In this thesis the focus lies on the base of the trailer, where flaps will be added. The aim is to find the increase in drag reduction when...
master thesis 2017
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Sellés Alsedà, Dídac (author)
As technology advances, industry and academia rely more and more on the output of computer simulations or physical experiments of engineering systems under development. In some cases, the relationship between input and output of a system under study is too complex to model through analytical expressions or numerical methods. In other cases,...
master thesis 2017
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Kotnik, Aljaž (author)
In the framework of LuFo R\&T projects a number of Rolls-Royce Deutschland Low and High Pressure Compressor rotor blades were geometrically scanned at the beginning and end of their life cycle. Based on this data component wear, ageing and manufacturing variability across the life cycle of the engine can be derived. Using Computational Fluid...
master thesis 2017
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D' Onofrio, Federica (author)
RANS equations are nowadays widely used in industry because of their affordability in terms of computational costs. They reached a high level of complexity, as they involve systems of non-linear partial differential equations. However they still lack of generality as they are based on closure coefficients determined from fundamental real flow...
master thesis 2017
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Butler, Jacob (author)
The project concerns uncertainty reduction of parameters of a thermodynamic equation of state for a dense gas, using Bayesian inference. The dense gas considered is D6 siloxane and the equation of state used is the polytropic van der Waals equation. The shock tube data comes from the flexible asymmetric shock tube (FAST) experiment. This is...
master thesis 2018
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Kaandorp, Mikael (author)
The application of machine learning algorithms as data-driven turbulence modelling tools for Reynolds Averaged Navier-Stokes (RANS) simulations is presented. A novel machine learning algorithm, called the Tensor Basis Random Forest (TBRF) is introduced, which is able to predict the Reynolds stress anisotropy tensor. The algorithm is trained on...
master thesis 2018
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van Hove, Alouette (author)
Accurate measurement of emissions (i.e. volume flow rate multiplied by concentration) is vital to the control and reduction of air pollution. We quantify the uncertainty of flow measurements by S-type pitot tubes in narrow exhaust stacks (diameter < 0.5 m) in support of recent European Union (EU) regulations for emissions from medium-size...
master thesis 2018
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