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DATA-DRIVEN FAILURE PREDICTION IN BRITTLE MATERIALS: A PHASE FIELD–BASED MACHINE LEARNING FRAMEWORK

  • Eduardo A.Barros de Moraes
  • , Hadi Salehi
  • , Mohsen Zayernouri
  • Michigan State University
  • Department of Computational Mathematics, Science and Engineering

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Pages (from-to)65-89
Number of pages25
JournalJournal of Machine Learning for Modeling and Computing
Volume2
Issue number1
DOIs
StatePublished - 2021
Externally publishedYes

ASJC Scopus Subject Areas

  • Computer Science (miscellaneous)
  • Artificial Intelligence
  • Computational Mechanics
  • Modeling and Simulation

Keywords

  • artificial neural networks
  • confusion matrix
  • failure location/pattern
  • finite element method
  • k-nearest neighbor
  • pattern recognition
  • virtual sensing nodes

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