Gradient enhanced damage sizing for structural health management

Gang Li, Fuh Gwo Yuan, Raphael T. Haftka, Nam Ho Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A gradient enhanced method is proposed to extracting a probability density function of damage size based on damage image from structural health monitoring for providing comprehensive information about damage size. A three-step procedure is designed to construct a likelihood function about damage size from intensity image, and a gradient function is employed as a prior to obtain a narrow distribution of damage size in the Bayesian framework, providing the empirical probability density function of damage size, from which the probability of damage size larger than critical crack size can be calculated. The proposed method converts an ultrasonic damage imaging result to probability density function of damage size, potential to fill the gap between damage detection and damage prognosis.

Original languageEnglish
Title of host publication52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
DOIs
Publication statusPublished - 2011
Event52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Denver, CO, United States
Duration: 2011 Apr 42011 Apr 7

Publication series

NameCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
ISSN (Print)0273-4508

Conference

Conference52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Country/TerritoryUnited States
CityDenver, CO
Period11-04-0411-04-07

All Science Journal Classification (ASJC) codes

  • Architecture
  • General Materials Science
  • Aerospace Engineering
  • Mechanics of Materials
  • Mechanical Engineering

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