Sadhana

, Volume 33, Issue 6, pp 767–779 | Cite as

Development of digital image correlation method to analyse crack variations of masonry wall

Article

Abstract

The detection of crack development in a masonry wall forms an important study for investigating the earthquake resistance capability of the masonry structures. Traditionally, inspecting the structure and documenting the findings were done manually. The procedures are time-consuming, and the results are sometimes inaccurate. Therefore, the digital image correlation (DIC) technique is developed to identify the strain and crack variations. This technique is non-destructive for inspecting the whole displacement and strain field. Tests on two masonry wall samples were performed to verify the performance of the digital image correlation method. The phenomena of micro cracks, strain concentration situation and nonuniform deformation distribution which could not have been observed preciously by manual inspection are successfully identified using DIC. The crack formation tendencies on masonry wall can be observed at an earlier stage by this proposed method. These results show a great application potential of the DIC technique for various situations such as inspecting shrinkage-induced cracks in fresh concrete, masonry and reinforced concrete structures, and safety of bridges.

Keywords

Digital image correlation technology crack observation masonry structure deformation measurement 

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References

  1. Chu T C, Ranson W F, Sutton M A, Peters W H 1985 Application of digital-image-correlation techniques to experimental mechanics. Experimental Mechanics 25: 232–244CrossRefGoogle Scholar
  2. Dost M, Rümmler N, Kieselstein E, Erb R, Hillmann V, Großer V 1999 Correlation analysis at grey scale patterns in an in-situ measuring module for microsystem technology. Materials mechanics — Fracture mechanics — micromechanics, (eds.) T. Winkler, A. Schubert, pp. 259–266, Berlin/ChemnitzGoogle Scholar
  3. Dost M, Vogel D, Winkler T, Vogel J, Erb R, Kieselstein E 2003 How to detect Edgar Allan Poe’s ‘purloined letter’ — or: Cross correlation algorithms in digitised video images for object identification, movement evaluation and deformation analysis. in Proceedings of SPIE Vol. 5048, Nondestructive Detection and Measurement for Homeland Security (USA: Bellingham, WA)Google Scholar
  4. Mendelson A 1983 Plasticity: Theory and application (USA: Krieger Publishing company Malabar, Florida)Google Scholar
  5. Raffard D, Ienny P, Henry J P 2001 Displacement and strain fields at a stone/mortar interface by digital image processing. Journal of Testing and Evaluation 29(2): 115–122CrossRefGoogle Scholar
  6. Sutton M A, Turner J L, Bruck H A, Chae T A 1991 Full-field representation of discretely sampled surface deformation for displacement and strain analysis. Experimental Mechanics 31: 168–177CrossRefGoogle Scholar
  7. Shiao J B 1999 Report on the Investigation of the Damages due to 921 Chichi Earthquake — Buildings, Taiwan, National Center for Research on Earthquake Engineering, report no.: NCREE-99-054Google Scholar
  8. Tung S H, Kuo J C, Shih M H 2005 Strain distribution analysis using digital-image-correlation techniques. Proceedings of the Eighteenth KKCNN Symposium on Civil Engineering-NTU29, TaiwanGoogle Scholar

Copyright information

© Indian Academy of Sciences 2008

Authors and Affiliations

  • Shih-Heng Tung
    • 1
  • Ming-Hsiang Shih
    • 2
  • Wen-Pei Sung
    • 3
  1. 1.Department of Civil and Environmental EngineeringNational University of KaohsiungKaohsiungTaiwan
  2. 2.Department of Construction EngineeringNational Kaohsiung First University of Science and TechnologyKaohsiungTaiwan
  3. 3.Department of Landscape Design and ManagementNational Chin-Yi University of TechnologyTaichungTaiwan

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