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Variational Arbitrary Lagrangian-Eulerian Method

Citation

Thoutireddy, Pururav (2003) Variational Arbitrary Lagrangian-Eulerian Method. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/DQT0-5104. https://resolver.caltech.edu/CaltechETD:etd-05292003-113845

Abstract

This thesis is concerned with the development of Variational Arbitrary Lagrangian-Eulerian method (VALE) method. VALE is essentially finite element method generalized to account for horizontal variations, in particular, variations in nodal coordinates. The distinguishing characteristic of the method is that the variational principle simultaneously supplies the solution, the optimal mesh and, in case problems of shape optimization, optimal shape. This is accomplished by rendering the functional associated with the variational principle stationary with respect to nodal field values as well as with respect to the nodal positions of triangulation of the domain of analysis. Stationarity with respect to the nodal positions has the effect of the equilibriating the energetic or configurational forces acting in the nodes. Further, configurational force equilibrium provides precise criterion for mesh optimality. The solution so obtained corresponds to minimum of energy functional (minimum principle) in static case and to the stationarity of action sum (discrete Hamilton's stationarity principle) in dynamic case, with respect to both nodal variables and nodal positions. Further, the resulting mesh adaption scheme is devoid of error estimates and mesh-to-mesh transfer interpolation errors. We illustrate the versatility and convergence characteristics of the method by way of selected numerical tests and applications, including the problem of semi-infinite crack, the shape optimization of elastic inclusions and free vibration of 1-d rod.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:ALE methods; Finite Elements; Mesh adaption; Shape Optimization; Variational Methods
Degree Grantor:California Institute of Technology
Division:Engineering and Applied Science
Major Option:Aeronautics
Minor Option:Applied And Computational Mathematics
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Ortiz, Michael
Group:GALCIT
Thesis Committee:
  • Ortiz, Michael (chair)
  • Ravichandran, Guruswami
  • Marsden, Jerrold E.
  • Bhattacharya, Kaushik
Defense Date:7 October 2002
Record Number:CaltechETD:etd-05292003-113845
Persistent URL:https://resolver.caltech.edu/CaltechETD:etd-05292003-113845
DOI:10.7907/DQT0-5104
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:2227
Collection:CaltechTHESIS
Deposited By: Imported from ETD-db
Deposited On:02 Oct 2003
Last Modified:13 May 2021 23:00

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