<node id="675419">
  <nid>675419</nid>
  <type>event</type>
  <uid>
    <user id="27707"><![CDATA[27707]]></user>
  </uid>
  <created>1720619267</created>
  <changed>1720619294</changed>
  <title><![CDATA[PhD Defense by Wesley Toler]]></title>
  <body><![CDATA[<p>&nbsp;<img 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width="459" height="133"></p><p><strong>School of Physics Thesis Dissertation Defense</strong></p><p>&nbsp;</p><p><strong>Presenter</strong>:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Wesley Toler</p><p><strong>Title</strong>:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Using exact coherent structures to describe the dynamics and statistics of intermittent Taylor-Couette flow</p><p><strong>Date</strong>:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Thursday, July 25, 2024</p><p><strong>Time</strong>:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1:00 p.m. &nbsp;&nbsp;</p><p><strong>Location</strong>:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Howey Physics Building, N201/202</p><p><strong>Virtual Link</strong>:&nbsp;&nbsp;&nbsp;&nbsp; <a href="https://tinyurl.com/28a5sprp">https://tinyurl.com/28a5sprp</a></p><p>&nbsp;</p><p>&nbsp;</p><p><strong>Committee members</strong>:&nbsp;</p><p>Dr.&nbsp;Michael Schatz, School of Physics, Georgia Institute of Technology (advisor)</p><p>Dr. Predrag Cvitanović, School of Physics, Georgia Institute of Technology&nbsp;</p><p>Dr. Ari Glezer, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology &nbsp;</p><p>Dr.&nbsp;Roman Grigoriev, School of Physics, Georgia Institute of Technology&nbsp;</p><p>Dr. Kurt Weisenfeld, School of&nbsp;Physics, Georgia Institute of Technology</p><p>&nbsp;</p><p><strong>Abstract</strong>:&nbsp;</p><p>A dynamical systems approach to understanding turbulence suggests that the complicated motion of the turbulent flow is shaped by special solutions to the Navier-Stokes equations known as exact coherent structures (ECSs). In this picture, turbulent flow co-evolves with, or "shadows", one such solution for a time; then a different ECS; and so on. This qualitative picture has recently been confirmed quantitatively at certain Reynolds numbers in experimental turbulent Taylor-Couette flow. Here we apply a similar methodology to an experimental Taylor-Couette flow that has the property of intermittency, wherein the flow exhibits a high degree of regularity for certain intervals punctuated at other times by significant increase in spatial and temporal variation of the flow. A collection of ECSs is found that describes the behavior of the flow for almost the entire duration of the flow, in both experimental and numerical investigations, for both quiescent and active behaviors of the flow. It is also demonstrated that the transition of flow behavior between quiescent and active regions is mediated by a specific ECS that connects both regions. Finally, observables of the flow are shown to be well-represented by weighted averages of ECS observables, thereby demonstrating the connection between dynamical shadowing of ECSs and average observables in a 3-dimensional experimental flow.</p><p>&nbsp;</p>]]></body>
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