In-situ quantitative tracking of micro-crack evolution behavior inside CMCs under load at high temperature: A deep learning method-Reference-Cited by-同舟云学术

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In-situ quantitative tracking of micro-crack evolution behavior inside CMCs under load at high temperature: A deep learning method

Published:2023-08 Issue: Volume:255 Page:119073
ISSN:1359-6454
Container-title:Acta Materialia
language:en
Short-container-title:Acta Materialia

Author:

Zhu Rongqi,Niu Guohao,Qu Zhaoliang,Wang Panding,Zhang Rubing,Fang Daining

Funder

National Major Science and Technology Projects of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Reference50 articles.

1. Probabilistic analysis of a SiC/SiC ceramic matrix composite turbine vane;Murthy;Compos. B. Eng.,2008

2. Advanced structural ceramics in aerospace propulsion;Padture;Nat. Mater.,2016

3. Ceramic-matrix composites enable revolutionary gains in turbine engine efficiency;Zok;Am. Ceram. Soc. Bull.,2016

4. Modeling of damage in unidirectional ceramic matrix composites and multi-scale experimental validation on third generation SiC/SiC minicomposites;Chateau;J. Mech. Phys. Solid.,2014

5. Real-time quantitative imaging of failure events in materials under load at temperatures above 1600 ˚C;Bale;Nat. Mater.,2013

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3. Deep Learning Methods for Microstructural Image Analysis: The State-of-the-Art and Future Perspectives;Integrating Materials and Manufacturing Innovation;2024-07-15

4. Tensile damage evolution and mechanical behaviour of SiCf/SiC mini-composites through 4D in-situ micro-CT and data-driven modelling;Composites Part B: Engineering;2024-06

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