Research article

A kinematic measurement for ductile and brittle failure of materials using digital image correlation

  • Received: 02 October 2016 Accepted: 05 December 2016 Published: 09 December 2016
  • This paper addresses some material level test which is done on quasi-brittle and ductile materials in the laboratory. The displacement control experimental program is composed of mortar cylinders under uniaxial compression shows quasi-brittle behavior and seemingly round-section aluminum specimens under uniaxial tension represents ductile behavior. Digital Image Correlation gives full field measurement of deformation in both aluminum and mortar specimens. Likewise, calculating the relative displacement of two points located on top and bottom of virtual LVDT, which is virtually placed on the surface of the specimen, gives us the classical measure of strain. However, the deformation distribution is not uniform all over the domain of specimens mainly due to imperfect nature of experiments and measurement devices. Displacement jumps in the fracture zone of mortar specimens and strain localization in the necking area for the aluminum specimen, which are reflecting different deformation values and deformation gradients, is compared to the other regions. Since the results are inherently scattered, it is usually non-trivial to smear out the stress of material as a function of a single strain value. To overcome this uncertainty, statistical analysis could bring a meaningful way to closely look at scattered results. A large number of virtual LVDTs are placed on the surface of specimens in order to collect statistical parameters of deformation and strain. Values of mean strain, standard deviation and coeffcient of variations for each material are calculated and correlated with the failure type of the corresponding material (either brittle or ductile). The main limiters for standard deviation and coeffcient of variations for brittle and ductile failure, in pre-peak and post-peak behavior are established and presented in this paper. These limiters help us determine whether failure is brittle or ductile without determining of stress level in the material.

    Citation: M.M. Reza Mousavi, Masoud D. Champiri, Mohammad S. Joshaghani, Shahin Sajjadi. A kinematic measurement for ductile and brittle failure of materials using digital image correlation[J]. AIMS Materials Science, 2016, 3(4): 1759-1772. doi: 10.3934/matersci.2016.4.1759

    Related Papers:

  • This paper addresses some material level test which is done on quasi-brittle and ductile materials in the laboratory. The displacement control experimental program is composed of mortar cylinders under uniaxial compression shows quasi-brittle behavior and seemingly round-section aluminum specimens under uniaxial tension represents ductile behavior. Digital Image Correlation gives full field measurement of deformation in both aluminum and mortar specimens. Likewise, calculating the relative displacement of two points located on top and bottom of virtual LVDT, which is virtually placed on the surface of the specimen, gives us the classical measure of strain. However, the deformation distribution is not uniform all over the domain of specimens mainly due to imperfect nature of experiments and measurement devices. Displacement jumps in the fracture zone of mortar specimens and strain localization in the necking area for the aluminum specimen, which are reflecting different deformation values and deformation gradients, is compared to the other regions. Since the results are inherently scattered, it is usually non-trivial to smear out the stress of material as a function of a single strain value. To overcome this uncertainty, statistical analysis could bring a meaningful way to closely look at scattered results. A large number of virtual LVDTs are placed on the surface of specimens in order to collect statistical parameters of deformation and strain. Values of mean strain, standard deviation and coeffcient of variations for each material are calculated and correlated with the failure type of the corresponding material (either brittle or ductile). The main limiters for standard deviation and coeffcient of variations for brittle and ductile failure, in pre-peak and post-peak behavior are established and presented in this paper. These limiters help us determine whether failure is brittle or ductile without determining of stress level in the material.


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    [2] Beizaee S, Willam K, Xotta G, et al. (2016) Error analysis of displacement gradients via finite element approximation of Digital Image Correlation system. 9thInternational Conference on Fracture Mechanics of Concrete and Concrete Structures, FraMCoS-9.
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    [10] Joshaghani MS, Raheem AM, Mousavi R (2016) Analytical Modeling of Large-Scale Testing of Axial Pipe-Soil Interaction in Ultra-Soft Soil. Am J Civ Eng Archit 4: 98–105. doi: 10.11648/j.ajce.20160403.16
    [11] Vipulanandan C, Yanhouide JA, Joshaghani SM (2013) Deepwater Axial and Lateral Sliding Pipe-Soil Interaction Model Study. Pipelines 2013: Pipelines and Trenchless Construction and Renewals—A Global Perspective 1583–1592.
    [12] Gandomi AH, Sajedi S, Kiani B, et al. (2016) Genetic programming for experimental big data mining: A case study on concrete creep formulation. Automat Constr 70: 89–97. doi: 10.1016/j.autcon.2016.06.010
    [13] Kiani B, Gandomi AH, Sajedi S, et al. (2016) New Formulation of Compressive Strength of Preformed-Foam Cellular Concrete: An Evolutionary Approach. J Mater Civ Eng 04016092.
    [14] Sajedi S, Gandomi AH, Kiani B, et al. (2016) Reliability-based multi-objective design optimization of reinforced concrete bridges considering corrosion affect. ASCE-ASME J Risk Uncertainty Eng Syst Part A: Civ Eng 04016015.
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