TY - JOUR
T1 - Discontinuous Digital Image Correlation to reconstruct displacement and strain fields with discontinuities
T2 - Dislocation approach
AU - Hassan, Ghulam Mubashar
AU - Dyskin, Arcady V.
AU - MacNish, Cara K.
AU - Pasternak, Elena
AU - Shufrin, Igor
N1 - Funding Information:
We are thankful to the Australian Postgraduate Award, the Bruce & Betty Scholarship and the University of Western Australia merit top-up Scholarship for their funding. Arcady V Dyskin and Elena Pasternak acknowledges support from the ARC LIEF grant LE110100094 and ARC Linkage Project Grant LP120100299 , AWE Ltd and Norwest Energy .
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/2/15
Y1 - 2018/2/15
N2 - Reconstruction of strain and displacement fields from surface images of materials and structures in the presence of discontinuities is a challenging task. Digital Image Correlation (DIC) – a commonly used technique to reconstruct displacement and strain fields when deformation is continuous – fails in the presence of discontinuities, including cracks and crevices. This paper presents a novel and entirely automated technique, Discontinuous Digital Image Correlation (DDIC), to reconstruct displacement and strain fields with high accuracy from images when deformation is either continuous or discontinuous. The technique is based on introducing additional parameters that characterize the discontinuity: the direction of the tangent to the discontinuity line and the corresponding Burgers vectors which express the difference in displacements at the opposite sides of the discontinuity line. The proposed technique is validated using synthetic images as well as images obtained from laboratory experiments. The results show that DDIC is able to reconstruct the displacement fields around discontinuities with a subpixel accuracy close to 1/100th of a pixel with a suitable surface pattern. It is also able to recover the size and angle of the discontinuity.
AB - Reconstruction of strain and displacement fields from surface images of materials and structures in the presence of discontinuities is a challenging task. Digital Image Correlation (DIC) – a commonly used technique to reconstruct displacement and strain fields when deformation is continuous – fails in the presence of discontinuities, including cracks and crevices. This paper presents a novel and entirely automated technique, Discontinuous Digital Image Correlation (DDIC), to reconstruct displacement and strain fields with high accuracy from images when deformation is either continuous or discontinuous. The technique is based on introducing additional parameters that characterize the discontinuity: the direction of the tangent to the discontinuity line and the corresponding Burgers vectors which express the difference in displacements at the opposite sides of the discontinuity line. The proposed technique is validated using synthetic images as well as images obtained from laboratory experiments. The results show that DDIC is able to reconstruct the displacement fields around discontinuities with a subpixel accuracy close to 1/100th of a pixel with a suitable surface pattern. It is also able to recover the size and angle of the discontinuity.
KW - Crack opening
KW - DDIC
KW - Deformation monitoring with discontinuities
KW - Discontinuous Digital Image Correlation
KW - Displacement reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85034657514&partnerID=8YFLogxK
U2 - 10.1016/j.engfracmech.2017.11.022
DO - 10.1016/j.engfracmech.2017.11.022
M3 - Article
AN - SCOPUS:85034657514
SN - 0013-7944
VL - 189
SP - 273
EP - 292
JO - Engineering Fracture Mechanics
JF - Engineering Fracture Mechanics
ER -