Detection of the onset of yielding and creep failure from digital image correlation

Tero Mäkinen*, Agata Zaborowska, Małgorzata Frelek-Kozak, Iwona Jóźwik, Łukasz Kurpaska, Stefanos Papanikolaou, Mikko J. Alava

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
34 Downloads (Pure)

Abstract

There are a multitude of applications in which structural materials would be desired to be nondestructively evaluated, while in a component, for plasticity and failure characteristics. In this way, safety and resilience features can be significantly improved. Nevertheless, while failure can be visible through cracks, plasticity is commonly invisible and highly microstructure-dependent. Here, we show that an equation-free method based on principal component analysis is capable of detecting yielding and tertiary creep onset, directly from strain fields that are obtained by digital image correlation, applicable on components, continuously and nondestructively. We demonstrate the applicability of the method to yielding of Ni-based Haynes 230 metal alloy polycrystalline samples, which are also characterized through electron microscopy and benchmarked using continuum polycrystalline plasticity modeling. Also, we successfully apply this method to yielding during uniaxial tension of Hastelloy X polycrystalline samples, and also to the onset of tertiary creep in quasibrittle fiber composites under uniaxial tension. We conclude that there are key features in the spatiotemporal fluctuations of local strain fields that can be used to infer mechanical properties.

Original languageEnglish
Article number103601
Pages (from-to)1-8
Number of pages8
JournalPhysical Review Materials
Volume6
Issue number10
DOIs
Publication statusPublished - 10 Oct 2022
MoE publication typeA1 Journal article-refereed

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