Numerical Modeling of Inverse Problems under Uncertainty for Damage Detection in Aircraft Structures

Abstract

Structural health monitoring (SHM) is a competitive approach for damage detection, wherein online information is collected, compared with an existing database for the undamaged structure, and from this comparison, real-time information about the presence of damage is obtained, its location, length, speed of propagation, and, ultimately, the remaining operational life of the structural component. This study explores numerical models of inverse problems for damage detection under uncertainty in aircraft structures, which can later be part of an on-board system for structural health monitoring. The research includes modeling of the direct and inverse problems, and the related uncertainties.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2013
Accession Number
ADA587627

Entities

People

  • Ariosto B. Jorge

Organizations

  • Federal University of Itajubá

Tags

Communities of Interest

  • Air Platforms
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Acoustics
  • Aircrafts
  • Algorithms
  • Computational Science
  • Damage Detection
  • Detection
  • Engineering
  • Evolutionary Algorithms
  • Genetic Algorithms
  • Inverse Problems
  • Kalman Filters
  • Measurement
  • Mechanical Engineering
  • Mechanics
  • Structural Components
  • Structural Health Monitoring

Readers

  • Acoustical Oceanography.
  • Sensor Fusion and Tracking Systems.
  • Structural Health Monitoring of Composite Structures.