An energy-based prognostic framework to predict evolution of damage in composite materials

M. Chiachio Ruano, J. Chiachio-Ruano, A. Saxena, K. Goebel

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

3 Citations (Scopus)

Abstract

This chapter describes damage prognosis techniques in the context of structural health monitoring for aerospace materials, and illustrates the efficacy of the proposed methods using fatigue data from a graphite–epoxy composite coupon. Prognostics is a core element in health management sciences which aims to predict remaining useful lifetime of the systems or components through estimation of their future health state based on partial knowledge about the current health state and future system usage. The methods shown in this chapter use a physics-based modeling approach whereby the time-dependent behavior of the damaged material is idealized via mathematical equations that rely on physical principles. Rigorous mathematical tools are used to estimate the uncertainty associated with the prediction process. Information stemming from these predictions is usable in an operational context for informed decisions about safety and maintenance, among others.
LanguageEnglish
Title of host publicationStructural Health Monitoring (SHM) in Aerospace Structures
EditorsFuh-Gwo Yuan
Pages447-477
Number of pages31
DOIs
Publication statusPublished - 11 Mar 2016

Publication series

NameWoodhead Publishing Series in Composites Science and Engineering

Fingerprint

Health
Composite materials
Management science
Graphite epoxy composites
Structural health monitoring
Physics
Fatigue of materials
Uncertainty

Keywords

  • composites
  • fatigue
  • filtering algorithms
  • prediction
  • prognostics
  • remaining useful life (RUL)
  • structural health monitoring (SHM)

Cite this

Chiachio Ruano, M., Chiachio-Ruano, J., Saxena, A., & Goebel, K. (2016). An energy-based prognostic framework to predict evolution of damage in composite materials. In F-G. Yuan (Ed.), Structural Health Monitoring (SHM) in Aerospace Structures (pp. 447-477). (Woodhead Publishing Series in Composites Science and Engineering). https://doi.org/10.1016/B978-0-08-100148-6.00016-0
Chiachio Ruano, M. ; Chiachio-Ruano, J. ; Saxena, A. ; Goebel, K. / An energy-based prognostic framework to predict evolution of damage in composite materials. Structural Health Monitoring (SHM) in Aerospace Structures. editor / Fuh-Gwo Yuan. 2016. pp. 447-477 (Woodhead Publishing Series in Composites Science and Engineering).
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Chiachio Ruano, M, Chiachio-Ruano, J, Saxena, A & Goebel, K 2016, An energy-based prognostic framework to predict evolution of damage in composite materials. in F-G Yuan (ed.), Structural Health Monitoring (SHM) in Aerospace Structures. Woodhead Publishing Series in Composites Science and Engineering, pp. 447-477. https://doi.org/10.1016/B978-0-08-100148-6.00016-0

An energy-based prognostic framework to predict evolution of damage in composite materials. / Chiachio Ruano, M.; Chiachio-Ruano, J.; Saxena, A.; Goebel, K.

Structural Health Monitoring (SHM) in Aerospace Structures. ed. / Fuh-Gwo Yuan. 2016. p. 447-477 (Woodhead Publishing Series in Composites Science and Engineering).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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AB - This chapter describes damage prognosis techniques in the context of structural health monitoring for aerospace materials, and illustrates the efficacy of the proposed methods using fatigue data from a graphite–epoxy composite coupon. Prognostics is a core element in health management sciences which aims to predict remaining useful lifetime of the systems or components through estimation of their future health state based on partial knowledge about the current health state and future system usage. The methods shown in this chapter use a physics-based modeling approach whereby the time-dependent behavior of the damaged material is idealized via mathematical equations that rely on physical principles. Rigorous mathematical tools are used to estimate the uncertainty associated with the prediction process. Information stemming from these predictions is usable in an operational context for informed decisions about safety and maintenance, among others.

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Chiachio Ruano M, Chiachio-Ruano J, Saxena A, Goebel K. An energy-based prognostic framework to predict evolution of damage in composite materials. In Yuan F-G, editor, Structural Health Monitoring (SHM) in Aerospace Structures. 2016. p. 447-477. (Woodhead Publishing Series in Composites Science and Engineering). https://doi.org/10.1016/B978-0-08-100148-6.00016-0