Stochastic Virtual Tests for High-Temperature Ceramic Matrix Composites

Cox, Brian, Bale, Hrishikesh, Begley, Matthew, Blacklock, Matthew, Do, Bao-Chan, Fast, Tony, Naderi, Mehdi, Novak, Mark, Rajan, Varun, Rinaldi, Renaud, Ritchie, Robert, Rossol, Michael, Shaw, John, Sudre, Olivier, Yang, Qingda, Zok, Frank and Marshall, David (2014) Stochastic Virtual Tests for High-Temperature Ceramic Matrix Composites. Annual Review of Materials Research, 44 (1). pp. 479-529. ISSN 1531-7331

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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.

Item Type:	Article
Uncontrolled Keywords:	stochastic properties, stochastic microstructure
Subjects:	F200 Materials Science
Department:	Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User:	Becky Skoyles
Date Deposited:	06 Jul 2018 11:24
Last Modified:	11 Oct 2019 20:00
URI:	http://nrl.northumbria.ac.uk/id/eprint/34856

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