Export file:

Format

  • RIS(for EndNote,Reference Manager,ProCite)
  • BibTex
  • Text

Content

  • Citation Only
  • Citation and Abstract

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

1 Department of Civil and Environmental Engineering, University of Houston, Houston, TX, USA
2 Department of Construction Management, University of Houston, Houston, TX, USA

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.
  Figure/Table
  Supplementary
  Article Metrics

Keywords digital image correlation; mortar; aluminum; ductile failure; quasi-brittle failure; statistics

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. AIMS Materials Science, 2016, 3(4): 1759-1772. doi: 10.3934/matersci.2016.4.1759

References

  • 1. Willam K, Mohammadipour A, Mousavi R, et al. (2013) Failure of unreinforced masonry under compression. Proceedings of the Structures Congress 2949–2961.
  • 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.
  • 3. Yang G, Zomorodian M, Belarbi A, et al. (2015) Uniaxial Tensile Stress-Strain Relationships of RC Elements Strengthened with FRP Sheets. J Compos Constr 20: 04015075.
  • 4. Zomorodian M, Yang G, Belarbi A, et al. (2016) Cracking behavior and crack width predictions of FRP strengthened RC members under tension. Eng Struct 125: 313–324.    
  • 5. Zhou M, Yao WB, Yang XS, et al. (2014) In-situ and real-time tests on the damage evolution and fracture of thermal barrier coatings under tension: A coupled acoustic emission and digital image correlation method. Surf Coat Tech 240: 40–47.    
  • 6. Wu DJ, Mao WG, Zhou YC, et al. (2011) Digital image correlation approach to cracking and decohesion in a brittle coating/ductile substrate system. Appl Surf Sci 257: 6040–6043.    
  • 7. Champiri MD, Mousavizadegan SH, Moodi F (2012) A decision support system for diagnosis of distress cause and repair in marine concrete structures. Comput Concrete 9: 99–118.    
  • 8. Champiri MD, Mousavizadegan SH, Moodi F (2012) A fuzzy classification system for evaluating the health condition of marine concrete structures. J Adv Concr Tech 10: 95–109.    
  • 9. Champiri MD, Sajjadi S, Mousavizadegan SH, et al. (2016) Assessing Distress Cause and Estimating Evaluation Index for Marine Concrete Structures. Am J Civ Eng Archit 4: 142–152.
  • 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.    
  • 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.    
  • 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.

 

This article has been cited by

  • 1. Mehdi Zomorodian, Guang Yang, Abdeldjelil Belarbi, Ashraf Ayoub, Behavior of FRP-strengthened RC elements subjected to pure shear, Construction and Building Materials, 2018, 170, 378, 10.1016/j.conbuildmat.2018.03.004
  • 2. Masoud Dehghani Champiri, Mir Mohammad Reza Mousavi, Kaspar Jodok Willam, Bora Gencturk, Effect of Alkali-Silica Reactivity Damage to Tip-Over Impact Performance of Dry Cask Storage Structures, International Journal of Concrete Structures and Materials, 2018, 12, 1, 10.1186/s40069-018-0248-5

Reader Comments

your name: *   your email: *  

Copyright Info: 2016, Masoud D. Champiri, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

Download full text in PDF

Export Citation

Copyright © AIMS Press All Rights Reserved