Computational homogenization for multiscale forward modeling of resonant ultrasound spectroscopy of heterogeneous materials

Marat I. Latypov, Marie Agathe Charpagne, Mason Souther, Brent R. Goodlet, McLean P. Echlin, Irene J. Beyerlein, Tresa M. Pollock

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We present a computational framework for multiscale forward modeling of ultrasound resonance in heterogeneous materials that accounts for microstructure. The approach includes two steps. The first step is the accurate determination of the elastic properties of heterogeneous materials with finite element simulations on a representative volume element of the microstructure at the mesoscopic length scale. The second step is modeling resonance frequencies of a macroscopic component made of an effective homogeneous medium having the same elastic properties as the actual material with microstructure. The approach is validated in a case study on a Cu–W two-phase composite, for which resonance frequencies predicted with the proposed framework are compared against the experimental measurements. The present multiscale modeling approach, involving computational homogenization and leveraging 3D microstructure data, showed better accuracy compared to classical Voigt/Reuss bounds often used for forward modeling of resonant ultrasound spectroscopy.

Original languageEnglish (US)
Article number109945
JournalMaterials Characterization
Volume158
DOIs
StatePublished - Dec 2019
Externally publishedYes

Keywords

  • Computational homogenization
  • Finite elements
  • Forward modeling
  • Non-destructive evaluation
  • Resonant ultrasound spectroscopy

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

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