An Apriori-a Posteriori Numerical Approach to Nonlinear Hyperbolic Conservation Laws

Abstract

This project aimed first at obtaining a better understanding of numerical methods for hyperbolic conservation laws. Several significant advances were obtained. In particular, the interplay between the size, uniformity and topology of numerical grids and the accuracy of numerical solutions based on those grids has been uncovered. This type of results in unique for problems with low regularity. Those a priori estimates have led to the first explanation of supraconvergence for conservation laws. The possibility of using earlier results, a posteriori estimates, for the design of adaptive methods with full mathematical backing was also investigated. In a second part. numerical methods for related problems were considered. For systems of Hamilton-Jacobi equations, the notion of viscosity solution cannot be applied. In spite of this, competitive numerical methods were constructed and successfully used. The flow of granular materials, a highly important but ill-understood problem, was also considered. Those problems have several nonstandard features. Computational results based on the first implementation, in that field, of higher order numerical (Discontinuous Galerkin) methods were obtained. A code is currently being tested by engineers in an industrial setting.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA369981

Entities

People

  • Pierre A. Gremaud

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Computational Science
  • Computations
  • Differential Equations
  • Engineers
  • Equations
  • Galerkin Method
  • Geometry
  • Granular Materials
  • Heuristic Methods
  • Materials
  • Mathematics
  • Mechanics
  • Numerical Analysis
  • Simulations
  • Topology

Fields of Study

  • Mathematics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Theoretical Analysis.