Digital Image Correlation for Specimens with Multiple Growing Cracks

By J. Helm. 2008

112 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/38bf5da975e2b739cd66d569b6f536dc2f652e30

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. He-hua Zhu
2. Kequan Yu
3. T. Ng
4. Wes McGee
5. Victor C. Li
6. M. Şahmaran
7. E. Yang
8. Motohiro Ohno

In Computer Vision and Pattern Recognition

1. T. Ng
2. Kequan Yu
3. Victor C. Li
4. Wes McGee
5. He-hua Zhu

Citations in the corpus

• 3D-printable engineered cementitious composites (3DP-ECC): Fresh and hardened properties (2021, methodology): “The green prism deformation was measured using the digital image correlation (DIC) method [34,35].”
• Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks (2009, unknown): “The degradation of image registration along cracks can be exploited to design an automatic detection procedure for multiple crack patterns as recently proposed by Helm [35].”