SavedAdd your journal

Journals / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi / 2026 / Cilt: 15

Effect of subset size and analysis step interval on strain and multiple crack characterization using digital image correlation

Dijital görüntü korelasyonu ile şekil değiştirme ve çoklu çatlak karakterizasyonuna alt küme boyutunun ve analiz adım aralığının etkisi

Eren Gödek(HİTİT ÜNİVERSİTESİ / TEKNİK BİLİMLER MYO)0000-0002-3427-2317
Kamile Tosun Felekoğlu(DOKUZ EYLÜL ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)0000-0003-2191-7793
Pages
1–10
Publication Date
2026-01-15
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In conclusion, it was determined that while the analysis step intervals did not have a significant effect on the accumulated error and strain capacity values, closer values were obtained with conventional measurements as the subset size increased.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Within the scope of this article, the unit strain, crack number, and crack width properties of engineered cementitious composites were calculated both by conventional measurement method and by digital image correlation (DIC) analysis using different subset size and analysis step intervals values.
📊
Key Findings & Data:In conclusion, it was determined that while the analysis step intervals did not have a significant effect on the accumulated error and strain capacity values, closer values were obtained with conventional measurements as the subset size increased.
💡
Conclusion & Impact:However, when both subset size and analysis step spacing parameters are selected at relatively low levels, the crack number and crack width calculated via DIC have more accurate results compared to the calculation method applied from the literature, and it is more reliable than existing methods with the supporting visual content provided by DIC.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:DIC · ECC · alt küme boyutu

Abstract

Within the scope of this article, the unit strain, crack number, and crack width properties of engineered cementitious composites were calculated both by conventional measurement method and by digital image correlation (DIC) analysis using different subset size and analysis step intervals values. In the analysis, the variation of the results obtained by using seven different subset sizes and seven different analysis step intervals was examined comparatively. In conclusion, it was determined that while the analysis step intervals did not have a significant effect on the accumulated error and strain capacity values, closer values were obtained with conventional measurements as the subset size increased. However, when both subset size and analysis step spacing parameters are selected at relatively low levels, the crack number and crack width calculated via DIC have more accurate results compared to the calculation method applied from the literature, and it is more reliable than existing methods with the supporting visual content provided by DIC.

Özet

Bu makale kapsamında, mühendislik uygulanmış çimento esaslı kompozitlerin birim şekil değiştirme, çatlak sayısı ve çatlak genişliği özellikleri hem geleneksel ölçüm yöntemiyle hem de farklı alt küme ve adım aralığı değerleri kullanılarak dijital görüntü korelasyonu (DIC) analizleri aracılığıyla hesaplanmıştır. Analizlerde, yedi farklı alt küme boyutu ve yedi farklı analiz adım aralığı boyutu kullanılarak elde edilen sonuçların değişimi kıyaslamalı olarak incelenmiştir. Sonuç olarak, adım boyutunun birikmiş hata ve gerinim kapasitesi değerleri üzerinde anlamlı bir etkisinin olmadığı, alt küme boyutu arttıkça geleneksel ölçümlerle daha yakın değerler elde edildiği tespit edilmiştir. Ancak, hem alt küme boyutu hem de analiz adım aralığı parametreleri göreceli olarak düşük seviyelerde seçildiğinde, DIC aracılığıyla hesaplanan çatlak sayısı ve çatlak genişliğinin literatürden alınarak uygulanan hesap yöntemine kıyasla daha doğru sonuçlar içerdiği ve DIC’nin sağladığı destekleyici görsel içeriklerle mevcut yöntemlere kıyasla daha güvenilir olduğu belirlenmiştir.

🔖

Cite This Article

Gödek, E., Felekoğlu, K. T. (2026). Effect of subset size and analysis step interval on strain and multiple crack characterization using digital image correlation. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 15, 1–10. https://doi.org/10.28948/ngumuh.1756091

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (18)

  1. M. A. Sutton, J.J. Orteu, and H. Schreier, Image correlation for shape, motion and deformation measurements: Basic concepts, theory and applications. Springer Science & Business Media, 2009.
  2. A. Hedayat and S. Ashur, Digital image correlation and its application in an undergraduate civil engineering materials laboratory, US: Fort Wayne, 2015.
  3. B. Pan, H. Xie, Z. Wang, K. Qian and Z. Wang, Study on subset size selection in digital image correlation for speckle patterns. Optics Express, 16 (10), 7037-7048, 2008. https://doi.org/10.1364/OE.16.007037
  4. N. Mashiwa, T. Furushima and K. Manabe, Novel non-contact evaluation of strain distribution using digital image correlation with laser speckle pattern of low carbon steel sheet. Procedia Engineering,184, 16-21, 2017. https://doi.org/10.1016/ bj.proeng.2017.04.065
  5. S. W. Khoo, S. Karuppanan and C. S. Tan, A review of surface deformation and strain measurement using two-dimensional digital image correlation. Metrology and Measurement Systems, 23 (3), 461-480, 2016. https://doi.org/10.1515/mms-2016-0028
  6. V. C. Li, Can concrete be bendable?. American Scientist, 100 (6), 484-493, 2012.
  7. J. I. Choi, B. Y. Lee, R. Ranade, V. C. Li and Y. Lee, Ultra-high-ductile behavior of a polyethylene fiber-reinforced alkali-activated slag-based composite. Cement and Concrete Composites, 70, 153-158, 2016. https://doi.org/10.1016/j.cemconcomp.2016.04.002
  8. B. Felekoğlu, K. Tosun-Felekoğlu and E. Gödek, A novel method for the determination of polymeric micro-fiber distribution of cementitious composites exhibiting multiple cracking behavior under tensile loading. Construction and Building Materials,86, 85-94, 2015. https://doi.org/10.1016/ j.conbuildmat.2015.03.094
  9. M. Ohno and V. C. Li, A feasibility study of strain hardening fiber reinforced fly ash-based geopolymer composites. Construction and Building Materials, 57, 163-168, 2014. https://doi.org/10.1016/ j.conbuildmat.2014.02.005
  10. Japan Society of Civil Engineers (JSCE), Recommendations for Design and Construction of High Performance Fiber Reinforced Cement Composites with Multiple Fine Cracks (HPFRCC). JSCE: 1-88, Japan, 2008.
  11. B. Felekoglu and M. Keskinates, Multiple cracking analysis of HTPP-ECC by digital image correlation method. Computers and Concrete,17 (6), 831-848. 2016. http://dx.doi.org/10.12989/cac.2016.17.6.831
  12. M. Mahal, T. Blanksvärd, B. Täljsten and G. Sas, Using digital image correlation to evaluate fatigue behavior of strengthened reinforced concrete beams.Engineering Structures,105, 277-288, 2015. https://doi.org/10.1016/j.engstruct.2015.10.017
  13. Y. Ding, K. Q. Yu, J. T. Yu and S. L. Xu, Structural behaviors of ultra-high performance engineered cementitious composites (UHP-ECC) beams subjected to bending-experimental study. Construction and Building Materials, 177, 102-115, 2018. https://doi.org/10.1016/j.conbuildmat.2018.05.122
  14. K. Q. Yu, J. T. Yu, J. G. Dai, Z. D. Lu and S. P. Shah, Development of ultra-high performance engineered cementitious composites using polyethylene (PE) fibers. Construction and Building Materials, 158, 217-227, 2018. https://doi.org/10.1016/ j.conbuildmat.2017.10.040
  15. A. Tambusay, B. Suryanto and P. Suprobo, Digital image correlation for cement-based materials and structural concrete testing.Civil Engineering Dimension,22 (1), 6-12, 2020. https://doi.org/ 10.9744/ced.22.1.6-12
  16. J. Zhou, S. Qian, M. G. Sierra Beltran, G. Ye, K. van Breugel and V. C. Li, Development of engineered cementitious composites with limestone powder and blast furnace slag. Materials and structures, 43(6), 803-814, 2010. https://doi.org/10.1617/s11527-009-9549-0
  17. S. Wang and V. C. Li, Tailoring of pre-existing flaws in ECC matrix for saturated strain hardening. Fracture Mechanics of Concrete Structures, 1005-1012, 2004.
  18. T. Yıldırım, M. Keskinateş, E. Gödek, K. Tosun Felekoğlu, B. Felekoğlu, O. Önal, Strain analysis of multiple cracking fiber reinforced composites by digital image correlation: Evaluation of parameter effects. Teknik Dergi, 31(1), 2020. https://doi.org/10.18400/tekderg.397681