Full-field measurements of heterogeneous deformation patterns on polymeric foams using digital image correlation

168 citations recorded by the source corpus.

How researchers see this paper

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

Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals (2018, background): “experimental mechanics, fracture mechanics, fatigue, mechanical testing), DIC has found applications in various natural and artificial materials (including metals [79], foam [17], polymers [48], biological tissue [19], sand [123], wood [124, 125], concrete [126], composite material [18, 127], etc), ”
Assessment of Digital Image Correlation Measurement Errors: Methodology and Results (2009, methodology): “Digital image correlation (DIC) has shown over twenty years to be a very valuable tool for fullfield displacement measurements [9–28].”
Ncorr: Open-Source 2D Digital Image Correlation Matlab Software (2015, background): “The behavior of diverse systems has been studied such as biological materials [12–15], metal alloys [16–18], shape memory alloys [19, 20], porous metals [21–23], polymers [24] and polymer foams [25].”
Quality assessment of speckle patterns for digital image correlation (2006, methodology): “This technique has been used in various technological domains and many of its applications have been reported [1-6].”