Searched for: subject:"model%5C-order%5C+reduction"
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document
Ravichandran, T.K. (author)
The field of Hyper-reduction for Nonlinear Finite Element Method attempts to address the large durations due to repeated evaluation and assembly of the internal force and Jacobian. Stability, accuracy and speed are three aspects of thesemethods that has been dealt with in this thesis. There are two methods that are popular within the...
master thesis 2016
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Van der Linde, T.M. (author)
Topology optimization is increasingly used as a design tool in engineering. Within structural mechanics, most applications focus on statics. An extension to time-domain (transient) dynamics will have many useful applications, but this is currently hindered by high computational costs. The goal of this research is to reduce these costs by...
master thesis 2016
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Ponsioen, S.L. (author)
In this report a NURBS based Galerkin projection method will be synthesised for the numerical computation of nonlinear normal modes using invariant manifolds. The computed nonlinear normal modes will be used to create a reduced order model that describes the single mode dynamical behaviour of a nonlinear vibrational dynamical system. The...
master thesis 2015
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Sombroek, C.S.M. (author)
Nonlinear Normal Modes (NNMs) have a clear conceptual relation to the classical linear normal modes (LNMs), yet they offer a solid theoretical framework for interpreting a wide class of non-linear dynamical phenomena with no linear counterpart. The main difficulty associating with NNMs is that the computation for real-size models is expensive,...
master thesis 2015
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Jain, S. (author)
master thesis 2015
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Sridhar, A. (author)
In high precision motion systems, rather flexible cable slabs provide electrical power and cooling liquid to moving stages. The positioning accuracy of free floating stages is defined by the disturbances action on it. So, it is of utmost importance to accurately quantify the disturbance forces of these cables. The mathematical model of such a...
master thesis 2014
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Zimmerling, J.T. (author)
Simulating electromagnetic or acoustic wave propagation in complex open structures is extremely important in many areas of science and engineering. In a wide range of applications, ranging from photonics and plasmonics to seismic exploration, efficient wave field solvers are required in various design and optimization frameworks. In this thesis,...
master thesis 2014
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Ambrozic, M. (author)
Forecast models often depend on unknown parameters, such as model initial and boundary conditions, or other tunable parameters not necessarily having any physical meaning. Calibration of these parameters to minimize errors between forecasted and observed states is called data assimilation. A common approach in this context are variational...
master thesis 2013
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Baumann, M.M. (author)
The model-order reduction techniques Proper Orthogonal Decomposition (POD) and Discrete Empirical Interpolation Method (DEIM) have been applied for the optimal control of Burgers' equation. Accuracy and performance of the reduced models have been studied in detail for different values of the viscosity parameter and different sizes of the...
master thesis 2013
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Sava, D.M. (author)
Reduced-order modelling procedures, seen as an alternative to the classical gradient based approach, in which the adjoint of the tangent linear approximation of the forward model is replaced by the adjoint of a linear approximation of a reduced forward model. Proper orthogonal decomposition is used to compute the reduced model, by using the...
master thesis 2012
Searched for: subject:"model%5C-order%5C+reduction"
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