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ASU Electronic Theses and Dissertations


This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.


A numerical study of chemotaxis in 3D turbulence is presented here. Direct Numerical Simulation were used to calculate the nutrient uptake for both motile and non-motile bacterial species and by applying the dynamical systems theory the effect of flow topology on the variability of chemotaxis is analyzed. It is done by injecting a highly localized patch of nutrient in the turbulent flow, and analyzing the evolution of reaction associated with the observed high and low stretching regions. The Gaussian nutrient patch is released at different locations and the corresponding nutrient uptake is obtained. The variable stretching characteristics of the flow …

Contributors
George, Jino, Tang, Wenbo, Peet, Yulia, et al.
Created Date
2017

Autonomic closure is a new general methodology for subgrid closures in large eddy simulations that circumvents the need to specify fixed closure models and instead allows a fully- adaptive self-optimizing closure. The closure is autonomic in the sense that the simulation itself determines the optimal relation at each point and time between any subgrid term and the variables in the simulation, through the solution of a local system identification problem. It is based on highly generalized representations of subgrid terms having degrees of freedom that are determined dynamically at each point and time in the simulation. This can be regarded …

Contributors
Kshitij, Abhinav, Dahm, Werner J.A., Herrmann, Marcus, et al.
Created Date
2019