Stochastic virtual tests for high-temperature ceramic matrix composites

Brian N. Cox, Hrishikesh A. Bale, Matthew Begley, Matthew Blacklock, Bao Chan Do, Tony Fast, Mehdi Naderi, Mark Novak, Varun P. Rajan, Renaud G. Rinaldi, Robert O. Ritchie, Michael N. Rossol, John H. Shaw, Olivier Sudre, Qingda Yang, Frank W. Zok, David B. Marshall

Research output: Contribution to journalArticle

43 Citations (Scopus)

Abstract

We review the development of virtual tests for high-temperature ceramic matrix composites with textile reinforcement. Success hinges on understanding the relationship between the microstructure of continuous-fiber composites, including its stochastic variability, and the evolution of damage events leading to failure. The virtual tests combine advanced experiments and theories to address physical, mathematical, and engineering aspects of material definition and failure prediction. Key new experiments include surface image correlation methods and synchrotron-based, micrometer-resolution 3D imaging, both executed at temperatures exceeding 1,500°C. Computational methods include new probabilistic algorithms for generating stochastic virtual specimens, as well as a new augmented finite element method that deals efficiently with arbitrary systems of crack initiation, bifurcation, and coalescence in heterogeneous materials. Conceptual advances include the use of topology to characterize stochastic microstructures. We discuss the challenge of predicting the probability of an extreme failure event in a computationally tractable manner while retaining the necessary physical detail.

Original languageEnglish
Pages (from-to)479-529
Number of pages51
JournalAnnual Review of Materials Research
Volume44
DOIs
StatePublished - Jan 1 2014

Fingerprint

Ceramic matrix composites
Physical addresses
Microstructure
Correlation methods
Hinges
Computational methods
Synchrotrons
Coalescence
Crack initiation
Textiles
Reinforcement
Experiments
Topology
Imaging techniques
Finite element method
Temperature
Fibers
Composite materials

Keywords

  • Stochastic microstructure
  • Stochastic properties

ASJC Scopus subject areas

  • Materials Science(all)

Cite this

Cox, B. N., Bale, H. A., Begley, M., Blacklock, M., Do, B. C., Fast, T., ... Marshall, D. B. (2014). Stochastic virtual tests for high-temperature ceramic matrix composites. Annual Review of Materials Research, 44, 479-529. https://doi.org/10.1146/annurev-matsci-122013-025024

Stochastic virtual tests for high-temperature ceramic matrix composites. / Cox, Brian N.; Bale, Hrishikesh A.; Begley, Matthew; Blacklock, Matthew; Do, Bao Chan; Fast, Tony; Naderi, Mehdi; Novak, Mark; Rajan, Varun P.; Rinaldi, Renaud G.; Ritchie, Robert O.; Rossol, Michael N.; Shaw, John H.; Sudre, Olivier; Yang, Qingda; Zok, Frank W.; Marshall, David B.

In: Annual Review of Materials Research, Vol. 44, 01.01.2014, p. 479-529.

Research output: Contribution to journalArticle

Cox, BN, Bale, HA, Begley, M, Blacklock, M, Do, BC, Fast, T, Naderi, M, Novak, M, Rajan, VP, Rinaldi, RG, Ritchie, RO, Rossol, MN, Shaw, JH, Sudre, O, Yang, Q, Zok, FW & Marshall, DB 2014, 'Stochastic virtual tests for high-temperature ceramic matrix composites', Annual Review of Materials Research, vol. 44, pp. 479-529. https://doi.org/10.1146/annurev-matsci-122013-025024
Cox, Brian N. ; Bale, Hrishikesh A. ; Begley, Matthew ; Blacklock, Matthew ; Do, Bao Chan ; Fast, Tony ; Naderi, Mehdi ; Novak, Mark ; Rajan, Varun P. ; Rinaldi, Renaud G. ; Ritchie, Robert O. ; Rossol, Michael N. ; Shaw, John H. ; Sudre, Olivier ; Yang, Qingda ; Zok, Frank W. ; Marshall, David B. / Stochastic virtual tests for high-temperature ceramic matrix composites. In: Annual Review of Materials Research. 2014 ; Vol. 44. pp. 479-529.
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