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  <title><![CDATA[PhD Defense by Hamid Karani]]></title>
  <body><![CDATA[<p>&nbsp;</p>

<p>COLLEGE OF SCIENCES</p>

<p><strong>SCHOOL OF EARTH AND ATMOSPHERIC SCIENCES</strong></p>

<p><strong>EAS Ph.D. Defense</strong></p>

<p>Hamid Karani</p>

<p><strong>October 27, 2017</strong></p>

<p><strong>10:00 AM</strong></p>

<p><strong>Earth and Atmospheric Sciences</strong></p>

<p>Ford Environmental Science &amp; Technology (ES&amp;T)311 Ferst Drive, ES&amp;TAtlanta, GA 30332-0340Web: eas.gatech.edu</p>

<p><strong>ES&amp;T</strong></p>

<p><strong>1177</strong></p>

<p><strong>Title: </strong>A Multiscale Analysis of Heat Transfer in Porous Media</p>

<p><strong>Committee members: </strong>Dr. Huber, Dr. Dufek, Dr. Simon,Dr. Ferrier, Dr.Magin(External committee member from U. Illinois at Chicago)</p>

<p><strong>Abstract: </strong>The modeling of thermal convection in porous media is a challenging task due to the inherent structural and thermophysicalheterogeneities that permeate over several scales. In the present thesis, we address several issues relevant to buoyancy</p>

<p>driven thermal convection in porous media. Our approach is based on establishing</p>

<p>a multi-scale framework build on knowledge accrued by theoretical, numerical and</p>

<p>experimental methods.</p>

<p>In Chapter 2, we develop a pore-scale computational tool based on a lattice Boltzmann(LB) model. This computational tool enables us to tackle thermal convection</p>

<p>from a pore-scale perspective and to provide benchmarks for the development of an</p>

<p>appropriate continuum-scale models. In Chapter 3, we use our LB model and conduct</p>

<p>high-resolution direct numerical simulation at the pore scale. The objective is to evaluate the underlying assumptions of upscaledthermal models and to assess the role of</p>

<p>thermophysicalheterogenetieson heat transfer. We beneﬁt from the insights gained</p>

<p>from our pore-scale results and propose a new upscaledenergy model for thermal</p>

<p>convection in Chapter 4. The proposed model is based on a fractional-order advectiveterm, which models the inﬂuence of thermal heterogeneities in a ﬂexible and</p>

<p>consistent way. In Chapter 5, we used a combination of theoretical and experimental</p>

<p>approaches to calculate a new metric, basin stability, for quantifying the respective</p>

<p>relative stability of coexisting convection modes in porous media. We show that transition between convective modes predicted by the basin stability analysis agrees well</p>

<p>with the experiments from our IR thermography visualization setup.</p>
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