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Fetecau, Razvan Constantin (2003-05-14) Variational methods for nonsmooth mechanics. http://resolver.caltech.edu/CaltechETD:etd-05222003-110241


Type of Document Dissertation
Author Fetecau, Razvan Constantin
Author's Email Address van AT acm.caltech.edu
URN etd-05222003-110241
Persistent URL http://resolver.caltech.edu/CaltechETD:etd-05222003-110241
Title Variational methods for nonsmooth mechanics
Degree PhD
Option Applied Mathematics
Advisory Committee
Advisor Name Title
Jerrold E. Marsden Committee Chair
Donald S. Cohen Committee Member
Niles Pierce Committee Member
Thomas Y. Hou Committee Member
Keywords
  • discrete mechanics
  • rigid-body collisions
  • multisymplectic geometry
  • symplectic integrators
Date of Defense 2003-05-14
Availability unrestricted
Abstract
In this thesis we investigate nonsmooth classical and continuum mechanics and its discretizations by means of variational numerical and geometric methods.

The theory of smooth Lagrangian mechanics is extended to a nonsmooth context appropriate for collisions and it is shown in what sense the system is symplectic and satisfies a Noether-style momentum conservation theorem.

Next, we develop the foundations of a multisymplectic treatment of nonsmooth classical and continuum mechanics. This work may be regarded as a PDE generalization of the previous formulation of a variational approach to collision problems. The multisymplectic formulation includes a wide collection of nonsmooth dynamical models such as rigid-body collisions, material interfaces, elastic collisions, fluid-solid interactions and lays the groundwork for a treatment of shocks.

Discretizations of this nonsmooth mechanics are developed by using the methodology of variational discrete mechanics. This leads to variational integrators which are symplectic-momentum preserving and are consistent with the jump conditions given in the continuous theory. Specific examples of these methods are tested numerically and the longtime stable energy behavior typical of variational methods is demonstrated.

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