2022
DOI: 10.1103/physrevmaterials.6.103601
|View full text |Cite
|
Sign up to set email alerts
|

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

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… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 39 publications
0
1
0
Order By: Relevance
“…To further verify the results of our simulation, we are going to do a series of experiments. The digital image correlation (DIC) has been a popular technique in materials science for a fairly long time [48]. The strain maps obtained from DIC could help investigate the dynamical heterogeneity in experiments.…”
Section: Spatial Correlationmentioning
confidence: 99%
“…To further verify the results of our simulation, we are going to do a series of experiments. The digital image correlation (DIC) has been a popular technique in materials science for a fairly long time [48]. The strain maps obtained from DIC could help investigate the dynamical heterogeneity in experiments.…”
Section: Spatial Correlationmentioning
confidence: 99%