Nondestructive Evaluation Using a Reduced Order Computational Methodology

Abstract

This paper uses eddy current based techniques and reduced order modeling to explore the feasibility of detecting a subsurface damage in structures such as air foils and pipelines. To identify the geometry of a damage, an optimization algorithm is employed which requires solving the forward problem numerous times. To implement these methods in a practical setting, the forward algorithm must be solved with extremely fast and accurate solution methods. Therefore, our computational methods are based on the reduced order Karhunen-Loeve or Proper Orthogonal Decomposition (POD) techniques. For proof-of-concept, we implement the methodology on a 2-D problem and find the methods to be efficient and robust even with data containing 10% relative noise. Furthermore, the methods are fast; our findings suggest we can reduce the computational time on average by a factor of 3000.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADA375172

Entities

People

  • Buzz Wincheski
  • H. Thomas Banks
  • Michele L. Joyner
  • William P. Winfree

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Current Density
  • Data Sets
  • Detection
  • Eddy Currents
  • Flux Density
  • Geometry
  • Inverse Problems
  • Magnetic Fields
  • Magnetic Flux
  • Magnetic Flux Density
  • Magnetometers
  • Materials
  • Simulators
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Vision.
  • Systems Analysis and Design