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Scale-dependent Response of Fluid Turbulence under Variation of the Large-scale Forcing

dc.contributor.advisorBodenschatz, Eberhard Prof. Dr.
dc.contributor.authorDi Lorenzo, Fabio
dc.date.accessioned2016-02-03T08:58:57Z
dc.date.available2016-02-03T08:58:57Z
dc.date.issued2016-02-03
dc.identifier.urihttp://hdl.handle.net/11858/00-1735-0000-0028-86B1-C
dc.identifier.urihttp://dx.doi.org/10.53846/goediss-5495
dc.language.isoengde
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc571.4de
dc.titleScale-dependent Response of Fluid Turbulence under Variation of the Large-scale Forcingde
dc.typedoctoralThesisde
dc.contributor.refereeBodenschatz, Eberhard Prof. Dr.
dc.date.examination2015-02-03
dc.description.abstractengIn this work, an experiment to measure the temporal evolution of energy transfer at different scales in a turbulent flow that was subject to a perturbation of the energy injection is described. Two types of experiments were performed. In the first type a step-function-like increase of the energy input was used to force the turbulent flow. In the second case the forcing of a fully developed turbulent flow was switched off to observe the decay of the turbulence. Experiments investigating the scale dependent response of a turbulent flow to a perturbation of the large-scale forcing have, to the best knowledge of the author, not been done so far. This is due to the complexity of the endeavor and the limitations of state-of-the-art measurement techniques. The approach to overcome these limitations and the hardware developed for this purpose is also documented in this thesis.de
dc.contributor.coRefereeEnderlein, Jörg Prof. Dr.
dc.subject.engTurbulence, Scale-dependent response, Lagrangian Particle Tracking, real-time image compression, FPGAde
dc.identifier.urnurn:nbn:de:gbv:7-11858/00-1735-0000-0028-86B1-C-8
dc.affiliation.instituteGöttinger Graduiertenschule für Neurowissenschaften, Biophysik und molekulare Biowissenschaften (GGNB)de
dc.subject.gokfullBiologie (PPN619462639)de
dc.identifier.ppn847079821


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