Damage precursor index (DPI) methodology for aviation structures

Ed Habtour*, Daniel Cole, Christopher Kube, Adam Svensken, Mark Robeson, Abhijit Dasgupta

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
38 Downloads (Pure)


In this study, a Damage Precursor Index (DPI) methodology is proposed to track the evolution of fatigue damage precursors immediately after establishing the dynamic behavior of a structure. The DPI is used to measure the change in the state of fatigue damage precursors in structures exposed to vibration loads. The DPI is based on estimating the nonlinear dynamic parameters in isotropic materials prior to crack formation. The model accounts for the incubation and evolution of localized material microplasticity. Structural compliance due to the presence of the micro-plasticity is observed experimentally. The change in the dynamic response as a result of damage precursors is used to update the global dynamic parameters, which are used to calculate a corresponding DPI. The fatigue damage precursors are verified through series of macro/micromechanical characterizations of isotropic structures under vibration loads. The application of the DPI methodology to structural health monitoring systems may considerably improve health awareness in complex systems due to the addition of sensitivity to damage precursors.

Original languageEnglish
Title of host publication8th European Workshop on Structural Health Monitoring, EWSHM 2016
Number of pages10
ISBN (Print)1510827935, 9781510827936
Publication statusPublished - 2016
Externally publishedYes
Event8th European Workshop on Structural Health Monitoring, EWSHM 2016 - Bilbao, Spain
Duration: 5 Jul 20168 Jul 2016
Conference number: 8

Publication series

Name8th European Workshop on Structural Health Monitoring, EWSHM 2016


Conference8th European Workshop on Structural Health Monitoring, EWSHM 2016
Abbreviated titleEWSHM


  • Damage precursor
  • Fatigue
  • Micromechanics
  • Monitoring
  • Nonlinear dynamics
  • Vibration
  • Structural Health Monitoring


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