39 research outputs found
Two Guaranteed Equilibrated Error Estimators for Harmonic Formulations in Eddy Current Problems
International audienceIn this paper, two guaranteed equilibrated error estimators are proposed and compared for the 3D harmonic magnetodynamic problem of Maxwell's system. This system is recasted in the classical A â Ï potential formulation or, equivalently , in the T â ⊠potential formulation, and it is solved by the Finite Element method. The first equilibrated estimator presented is built starting from these two complementary problems, the other one is built starting from the A â Ï numerical solution uniquely by a flux reconstruction technique. The equivalence between errors and estimators is established. Afterwards, an analytical benchmark test illustrates the obtained theoretical results and a physical benchmark test shows the efficiency of these two estimators
Adaptive Algorithms
Overwhelming empirical evidence in computational science and engineering proved that self-adaptive mesh-generation is a must-do in real-life problem computational partial differential equations. The mathematical understanding of corresponding algorithms concerns the overlap of two traditional mathematical disciplines, numerical analysis and approximation theory, with computational sciences. The half workshop was devoted to the mathematics of optimal convergence rates and instance optimality of the Dörfler marking or the maximum strategy in various versions of space discretisations and time-evolution problems with all kind of applications in the efficient numerical treatment of partial differential equations
Schnelle Löser fĂŒr partielle Differentialgleichungen
[no abstract available
SOLID-SHELL FINITE ELEMENT MODELS FOR EXPLICIT SIMULATIONS OF CRACK PROPAGATION IN THIN STRUCTURES
Crack propagation in thin shell structures due to cutting is conveniently simulated
using explicit finite element approaches, in view of the high nonlinearity of the problem. Solidshell
elements are usually preferred for the discretization in the presence of complex material
behavior and degradation phenomena such as delamination, since they allow for a correct
representation of the thickness geometry. However, in solid-shell elements the small thickness
leads to a very high maximum eigenfrequency, which imply very small stable time-steps. A new
selective mass scaling technique is proposed to increase the time-step size without affecting
accuracy. New âdirectionalâ cohesive interface elements are used in conjunction with selective
mass scaling to account for the interaction with a sharp blade in cutting processes of thin ductile
shells
Error estimation and adaptivity for finite element structural dynamics models under parameter uncertainty
The optimisation of discretisation and stochastic errors under a single criterion is not
a simple task. The nature of the errors derived from both phenomena is totally different
and so are the measures needed to assess them. Nonetheless, they are related
and if either of the errors dominates a problem, any obtained solution is suboptimal.
Error estimation research is focused on optimising and bounding the discretisation
error only. On the other hand, stochastic research treats error estimation as a black
box that ensures enough accuracy to avoid interference with the stochastic process
and/or the surrogate of the numerical model, with the only exception of stochastic
finite element method. This dissertation presents an adaptive approach to optimise
locally the relation between the aforementioned numerical approximations in any
stochastic framework.
The main novel contribution of this thesis is the development of an algorithm that
ensures that all errors are of the same scale after an adaptive process. The numerical
problem posed is a structure vibrating steadily under parametric uncertainty,
although any partial differential equation could have been selected modifying the
refinement strategy. Steady dynamic problems were chosen because they tend to
need less intuitive concentration of refinements, the lack of time dependency allows
non-conforming meshes and yet, natural frequencies highly influence the solution.
The definitions of all measures of error are linked to the relative discretisation error,
and are therefore controlled by the algorithm under this single criterion.
Another novelty is a new family of residual error estimators based on the Saint-
Venant principle rather than on limiting the support of the test function. This new
approach allows to unlink the definition of the patch sub-domain from the split of
the residual. In addition to the resulting freedom of patch choice, it is proven than
the new approach provides enhanced stability to some element centered patch estimators
proposed in the past.
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Finally, two minor new contributions are a discrete way to obtain an indicator of
refinement for quantities of interest not involving gradients (simpler than the choices
already present in literature), and the testing of analogy between error estimators
and preconditioners
Mechanisms of natural and forced variability in the southern ocean
The Southern Ocean is an important regulator of global climate, and accurately
predicting its future evolution under climate change constitutes a critical scientific
challenge. Mesoscale eddies are key to the dynamics of the Southern Ocean, but
the mechanisms and time scales of their natural and forced variability are not completely understood. Motivated by the dynamical analogy between the Antarctic Circumpolar Current and the tropospheric jet stream, the natural variability of eddymean flow interaction is studied by adapting a two-dimensional model of storm
track variability to the oceanic case. It is found that eddies and the mean flow
interact according to a predator-prey oscillatory relationship in both an idealised,
eddy-resolving, channel configuration and the SOSE state estimate product of the
Southern Ocean. The oscillatory nature of the dynamics reflects in the structure
of the phase space diagrams, where quasi-periodic cycles with typical timescales
of a few weeks can be observed. The simplified mathematical model qualitatively
captures the statistical properties of the interaction well. The time scales of forced
adjustment are investigated by means of an ensemble of wind step-change experiments run with the idealised channel configuration. It is found that the temperature
response is driven largely, but not exclusively, by changes in the oceanâs circulation, with enhanced mixing also playing an important role. Circulation changes
have a rich spatial structure, and vertical/meridional displacements of the residual
overturning circulation cells have a large impact on the temperature response even
though the channel is strongly eddy-compensated. The time scales of the response
vary across the domain, and are set by the spin-up of baroclinic eddies. The results
presented in this Thesis bring the fundamental mechanisms of eddy variability into
clearer focus, and inform the interpretation of more realistic numerical simulations
of the Southern Ocean