Numerical Analysis of Constrained Dynamical Systems, with Applications to Dynamic Contact of Solids, Nonlinear Elastodynamics and Fluid-Structure Interactions

Abstract

This project considers the development of robust time-stepping algorithms for the temporal integration of dynamical systems in nonlinear solid mechanics. We have developed new algorithms for the contact/impact of solids that preserve the conservations laws of momenta and of energy conservation for the normal contact interactions and of energy dissipation for the tangential frictional laws. We have also developed new arbitrary Eulerian-Lagrangian finite element methods with a direct application to the Lagrangian treatment of viscous fluids. This extension allows the analysis of fluid-structure interfaces through the Lagrangian contact logic previously developed. Similarly, we have developed new integration algorithms for nonlinear elastodynamics that exhibit the controllable high-frequency dissipation required to handle the high numerical stiffness of the mechanical systems of interest. Additional tools, like the formulation a new contact sorting/search data structure for the efficient analysis of multi-body elastic systems, have also been developed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2000
Accession Number
ADA388855

Entities

People

  • Francisco Armero

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Angular Momentum
  • Computational Fluid Dynamics
  • Computational Science
  • Computers
  • Differential Equations
  • Elastic Properties
  • Finite Element Analysis
  • Mathematical Analysis
  • Mechanical Properties
  • Mechanical Working
  • Mechanics
  • Nonlinear Dynamics
  • Numerical Analysis
  • Physics Laboratories
  • Plastic Properties
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Control Systems Engineering.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)