Use of Open Source DIC Tools for Analysis of Multiple Cracking in Fiber-Reinforced Concrete

Václav Nežerka; Jakub Antoš; Tereza Sajdlová; Pavel Tesárek

doi:10.4028/www.scientific.net/AMM.827.336

Paper Titles

Composite Middle Lamella Hardness and Young’s Modulus of Artificial Dried Spruce Wood by Nanoindentation
p.320

Mechanical and Durability Properties of Selected Types of Sandstones
p.324

Measurement of Volume Changes of High Performance Cement Based Composites
p.328

Cement Composite Reinforced with Synthetic Fibers: Comparison of Three-Point and Four-Point Bending Test Results
p.332

Use of Open Source DIC Tools for Analysis of Multiple Cracking in Fiber-Reinforced Concrete
p.336

The Identification of Cracks Formed during the Spontaneous Drying and Hardening of Alkali-Activated Slag for Different Curing Times
p.340

Optical Fiber Sensor for Timber Structure Monitoring
p.344

Effect of Reinforcement on Flexural Strength and Ductility of Gypsum-Based Composites with Recycled Wires from Automobile Tires
p.348

Identification of Glass Alloy Elastic Constants Using Rod Samples
p.352

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 827Use of Open Source DIC Tools for Analysis of...

Use of Open Source DIC Tools for Analysis of Multiple Cracking in Fiber-Reinforced Concrete

Abstract:

Digital image correlation (DIC) became indispensable when monitoring and analyzing adevelopment of displacement or strain fields. The method is capable of capturing strain localization, itis not limited to a relative measurement of discrete points as conventional methods and appears to bemore accurate than measurements by means of extensometers or strain-gauges that often suffer fromimperfect attachment to the measured surface. As open source DIC tools appear, the method becomesfeasible and the development is supported by the growing computational power of modern computers.The presented paper introduces open source 2D DIC tools and simple rules to follow when employingthe method. The presented case study on behavior of fiber reinforced high-performance concretedemonstrates a computational feasibility, accuracy and sensitivity of the method for a relatively lowfinancial cost.

You might also be interested in these eBooks

Applied Methods of the Analysis of Static and Dynamic Loads of Structures and Machines II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 827)

Pages:

336-339

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.827.336

Citation:

Cite this paper

Online since:

February 2016

Authors:

Václav Nežerka*, Jakub Antoš, Tereza Sajdlová, Pavel Tesárek

Keywords:

DIC, MATLAB, Open Source Software, Optical Measurement, Strain Localization

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] J. N. Périé, S. Calloch, C. Cluzel and F. Hild, Analysis of a multiaxial test on a c/c composite by using digital image correlation and a damage model, Experimental Mechanics 42 (2002) 505- 515.

DOI: 10.1007/bf02410989

Google Scholar

[2] B. Pan and K. Li, A fast digital image correlation method for deformation measurement, Optics and Lasers in Engineering 49 (2011) 841-847.

DOI: 10.1016/j.optlaseng.2011.02.023

Google Scholar

[3] B. Pan, H. Xie and Z. Wang, Equivalence of digital image correlation criteria for pattern matching, Applied Optics 49 (2010) 5501-5509.

DOI: 10.1364/ao.49.005501

Google Scholar

[4] The MathWorks Inc., Matlab Release 2011a, http: /www. mathworks. com/products/matlab/, Natick, Massachusetts, U.S., (2011).

Google Scholar

[5] J. Blaber, Ncorr: Digital Image Correlation Software, http: /www. ncorr. com/, Georgia Institute of Technology, U.S., (2014).

Google Scholar

[6] V. Nežerka, Ncorr_post: DIC Post-Processing Tool, http: /mech. fsv. cvut. cz/nez erka/dic/index. htm, CTU in Prague, Czech Republic, (2014).

Google Scholar

[7] H. Lu and P. D. Cary, Deformation measurements by digital image correlation: Implementation of a second-order displacement gradient, Experimental Mechanics 40 (2000) 393-400.

DOI: 10.1007/bf02326485

Google Scholar

[8] D. Lecompte, A. Smits, S. Bossuyt, H. Sol, J. Vantomme, D. Van Hemelrijck and A. M. Habraken, Quality assessment of speckle patterns for digital image correlation, Optics and Lasers in Engineering 44 (2006) 1132-1145.

DOI: 10.1016/j.optlaseng.2005.10.004

Google Scholar

[9] G. Stoilov, V. Kavardzhikov and D. Pashkouleva, A comparative study of random patterns for digital image correlation, Journal of Theoretical and Applied Mechanics 42 (2012) 55-66.

DOI: 10.2478/v10254-012-0008-x

Google Scholar

[10] B. Pan, Z. Lu and H. Xie, Mean intensity gradient: An effective global parameter for quality assessment of the speckle patterns used in digital image correlation, Optics and Lasers in Engineering 48 (2010) 469-477.

DOI: 10.1016/j.optlaseng.2009.08.010

Google Scholar

[11] B. Pan, L. Yu, D. Wu and L. Tang, Systematic errors in two-dimensional digital image correlation due to lens distortion, Optics and Lasers in Engineering 51 (2013) 140-147.

DOI: 10.1016/j.optlaseng.2012.08.012

Google Scholar