Abstract
Laminated composites are materials with complex architecture made of continuous fibers (usually glass or carbon) embedded within a polymeric resin. The properties of the raw materials can vary from one point to another due to different local processing conditions or complex geometrical features for example. A first step towards the identification of these spatially varying material parameters is to image with precision the displacement fields in this complex microstructure when subjected to mechanical loading. Secondary electron images obtained by scanning electron microscopy (SEM) and then numerically deformed are post-processed by either local subset-based digital image correlation (DIC) or global finite-element based DIC to measure the displacement and strain fields at the fiber-matrix scale in a cross-ply composite. It is shown that when global DIC is applied with a conformal mesh, it can capture more accurate local variations in the strain fields as it takes into account the underlying microstructure. In comparison to subset DIC, global DIC is better suited for capturing gradients across the fiber-matrix interfaces.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
J. Llorca, C. González, J.M. Molina-AldareguÃa, J. Segurado, R. Seltzer, F. Sket, M. RodrÃguez, S. Sádaba, R. Muñoz, L.P. Canal, Multiscale modeling of composite materials: a roadmap towards virtual testing. Adv. Mater. 23, 5130–5147 (2011)
G. Lubineau, A. Moussawi, J. Xu, R. Gras, A domain decomposition approach for digital image correlation based identification of local elastic parameters. Int. J. Solids Struct. 55, 44–57 (2015)
E. Florentin, G. Lubineau, Identification of the parameters of an elastic material model using the constitutive equation gap method. Comput. Mech. 46(4), 521–531 (2010)
M. Grediac, The use of full-field measurement methods in composite material characterization: interest and limitations. Compos. A Appl. Sci. Manuf. 35, 751–761 (2004)
B. Pan, K. Li, W. Tong, Fast, robust and accurate digital image correlation calculation without redundant computations. Exp. Mech. 53, 1277–1289 (2013)
Y. Sun, J.H.L. Pang, C.K. Wong, F. Su, Finite element formulation for a digital image correlation method. Appl. Opt. 44, 7357–7363 (2005)
L. Canal, C. González, J. Molina-AldareguÃa, J. Segurado, J. LLorca, Application of digital image correlation at the microscale in fiber-reinforced composites. Compos. A: Appl. Sci. Manuf. 43, 1630–1638 (2012)
B. Pan, B. Wang, G. Lubineau, A. Moussawi, Comparison of subset-based local and finite element-based global digital image correlation, Exp. Mech.55(5), 887–901 (2015)
M.A. Sutton, N. Li, D. Garcia, N. Cornille, J.J. Orteu, S.R. McNeill, H.W. Schreier, X. Li, Metrology in a scanning electron microscope: theoretical developments and experimental validation. Meas. Sci. Technol. 17, 2613–2622 (2006)
H.W. Schreier, Calibrated sensor and method for calibrating same. Patent Pending 1 (2006)
A.D. Kammers, S. Daly, Digital image correlation under scanning electron microscopy: methodology and validation. Exp. Mech. 53, 1743–1761 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 The Society for Experimental Mechanics, Inc.
About this paper
Cite this paper
Tao, R., Moussawi, A., Zhou, J., Lubineau, G., Pan, B. (2016). Field Strain Measurement on the Fiber-Epoxy Scale in CFRPs. In: Jin, H., Yoshida, S., Lamberti, L., Lin, MT. (eds) Advancement of Optical Methods in Experimental Mechanics, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-22446-6_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-22446-6_38
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22445-9
Online ISBN: 978-3-319-22446-6
eBook Packages: EngineeringEngineering (R0)