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Related Experiment Videos

A model based bayesian solution for characterization of complex damage scenarios in aerospace composite structures.

H Reed1, Cara A C Leckey2, A Dick1

  • 1Thornton Tomasetti - Weidlinger Applied Science, 40 Wall St. 19th Fl., New York, NY 10005, United States.

Ultrasonics
|September 22, 2017
PubMed
Summary

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This study introduces a new method for detecting and characterizing damage in aerospace composites using guided ultrasonic waves. The technique accurately models complex impact damage, improving defect identification in nondestructive evaluation.

Area of Science:

  • Materials Science
  • Aerospace Engineering
  • Nondestructive Evaluation (NDE)

Background:

  • Guided wave-based ultrasonic methods are increasingly used for NDE of aerospace composites.
  • Dispersive waves in real structures complicate damage assessment, especially with complex damage scenarios.
  • Accurate three-dimensional finite element models (FEMs) are crucial for understanding guided wave interactions with damage.

Purpose of the Study:

  • To develop an inverse solution for realistic composite damage characterization.
  • To compare experimental and simulated ultrasonic inspection data using wavenumber-frequency spectra.
  • To enable flexible damage modeling for complex geometries, such as impact-induced delaminations.

Main Methods:

  • Utilized three-dimensional finite element models (FEMs) for guided wave propagation and interaction with damage.
Keywords:
Bayesian analysisCompositesDelaminationGuided wavesModel-based characterizationNondestructive evaluation

Related Experiment Videos

  • Employed a Bayesian solution (Markov chain Monte Carlo) for material property verification and uncertainty quantification.
  • Applied a transdimensional Markov chain Monte Carlo solution for characterizing complex damage geometry and delamination petals.

    • Main Results:

    • Verified composite laminate material properties with uncertainty quantification.
    • Assessed the efficacy of the proposed damage model and comparative metrics.
    • Determined posterior probability distributions for individual delamination petals and the overall damage site envelope.

    Conclusions:

    • The developed inverse solution effectively characterizes realistic composite damage, including complex impact-induced scenarios.
    • The transdimensional Markov chain Monte Carlo approach provides a flexible model for adapting to intricate damage geometries.
    • This method enhances the capability of guided wave-based NDE for aerospace composite components.