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Accurate and Efficient Autonomic Closure for Turbulent Flows

Abstract 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 as a very high-dimensional generalization of the dynamic approach used with some traditional prescribed... (more)
Created Date 2019
Contributor Kshitij, Abhinav (Author) / Dahm, Werner J.A. (Advisor) / Herrmann, Marcus (Committee member) / Hamlington, Peter E (Committee member) / Peet, Yulia (Committee member) / Kim, Jeonglae (Committee member) / Arizona State University (Publisher)
Subject Fluid mechanics / Computational physics / Applied mathematics / Fluid Mechanics / Machine Learning / Multiphysics / Turbulence
Type Doctoral Dissertation
Extent 149 pages
Language English
Note Doctoral Dissertation Aerospace Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis