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Howey W301, W303
School of Physics Georgia Institute of Technology |
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Research Our research focuses primarily on the
interdisciplinary field of pattern
formation, a major branch of nonlinear science. Studies of pattern
formation use a common set of fundamental concepts to describe how
non-equilibrium processes cause structure to appear in a wide variety
of complex systems in nature and in technology. While much progress
toward understanding pattern dynamics has been made in recent years,
fundamental challenges remain. Below are brief descriptions of
our current experimental research projects addressing some of these
outstanding issues; click on a link to learn more. Characterization of
Complex Patterns Extracting information from the complex
structures created by physical systems driven out of equilibrium is a
huge challenge. We address this challenge by applying different
characterization techniques to Rayleigh-Benard convection, a system
well-known for exhibiting spatiotemporally chaotic dynamics.
These techniques include the established Karhunen-Loeve
decomposition
(KLD) as well as a novel characterization tool, computational
homology. This new method exposes a symmetry breaking not
observable using conventional statistical measures. A system
dimension, related to the number of degrees of freedom present in the
system, can be defined for both methods. The constraining effect
of the physical boundaries is revealed by this measure. Pattern Control and
Forecasting Forecasting is a central goal in the study of
many physical systems, and chaos can be a limiting factor to this
goal. One well known example is weather, illustrated by the
so-called butterfly effect: the idea that a small disturbance can be
amplified to create large-scale changes to a system. We are
using a novel experimental technique to probe system dynamics near
instability in a paradigm of
pattern forming systems, Rayleigh-Bénard convection (RBC). This procedure extracts
the structure and growth rates of modes governing the
instability. We are also using this tool to investigate
the role of instability in limiting predictive ability through the
application of a state and parameter estimation algorithm (LETKF)
to prepared patterns. In shear flows, the
transition to turbulence typically occurs through a subcritical
bifurcation where a finite amplitude perturbation is required to take
the system from the laminar state to a turbulent one. Some experiments
suggest that the lifetime
diverges at a finite Reynolds number; others suggest
that the lifetime diverges only at infinite Reynolds number. We
measure turbulent
state lifetimes for the flow between
concentric, rotating cylinders in the regime where the transition to
turbulence is subcritical. Our study
also allows us to test whether the transient nature of the turbulence
observed in previous experiments is specific to those flow geometries
or is present in a more general class of shear flows. We also
investigate the effects of various boundary
conditions and weak counter/co-rotation on the observed lifetimes. Recent theoretical advances suggest ways to find unstable exact Navier Stokes solutions that capture many features of coherent structures, which have long been observed in turbulent flow. It remains unknown whether these solutions, termed Exact Coherent States, can describe observations of turbulent flow in laboratory experiments. Our experimental and numerical investigations search for unstable solutions in quasi-2D flows driven by electromagnetic forces. In the experiments, time series of velocity fields are obtained from images of the visualized flow. In the simulations, long time series of velocity fields are calculated for flows with forcing similar to that in the experiments. Recurrence plots constructed from velocity field data provide evidence for the existence of unstable periodic orbits.
People
PublicationsA complete list of publications can be viewed here. LinksCenter for Nonlinear Science Contact Us
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