Thermal Damage Detection and Characterization in Porous Materials

Abstract

In this effort, we consider damage detection algorithms using thermal probes. The techniques proposed employ models derived from homogenization theory as the model solution in parameter estimation procedures for simulated data for heat flow in a porous medium. We consider data simulated from a model on a perforated domain with isotropic flow and data simulated from a model on a homogeneous domain with anisotropic flow. We report on ordinary least squares methods combined with the method of mappings to detect the presence of damage and to characterize the geometry of the damage.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 2011
Accession Number
ADA557454

Entities

People

  • Amanda K. Criner
  • H. Thomas Banks

Organizations

  • North Carolina State University

Tags

DTIC Thesaurus Topics

  • Composite Materials
  • Computations
  • Damage Detection
  • Data Analysis
  • Detection
  • Differential Equations
  • Equations
  • Geometry
  • Information Science
  • Inverse Problems
  • Materials
  • Mathematics
  • Partial Differential Equations
  • Porous Materials
  • Random Variables
  • Statistical Analysis
  • Statistics

Readers

  • Computational Fluid Dynamics (CFD)
  • Statistical inference.
  • Structural Health Monitoring of Composite Structures.