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Adaptive Methods for Non-Linear Empirical Similitude Method

[+] Author Affiliations
Srikanth Tadepalli, Kristin L. Wood

University of Texas - Austin, Austin, TX

Paper No. IMECE2008-67974, pp. 145-155; 11 pages
doi:10.1115/IMECE2008-67974
From:
  • ASME 2008 International Mechanical Engineering Congress and Exposition
  • Volume 14: New Developments in Simulation Methods and Software for Engineering Applications
  • Boston, Massachusetts, USA, October 31–November 6, 2008
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4875-3 | eISBN: 978-0-7918-3840-2
  • Copyright © 2008 by ASME

abstract

Several problems in engineering realm pose modeling and simulation difficulty due to severe non–linear behavior and debilitating singular or stiff conditions that act as additional impediments. In many such instances advanced numerical schemes are employed to either relax or simplify the PDE that defines the physical process to obtain reasonable output from the simulation. Digressing from this traditional approach, we present an experimental similitude method in this paper to analyze non–linear systems. Combined with the use of original mapping algorithms, we discuss the benefits of empirical similarity techniques and present a heat transfer example for exposition.

Copyright © 2008 by ASME

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