A computer vision-based video extensometer technique for geosynthetics tensile testing
Geosynthetics International, ss.1-17, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1680/jgein.25.00160
- Dergi Adı: Geosynthetics International
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Geobase, INSPEC, Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Sayfa Sayıları: ss.1-17
- Anahtar Kelimeler: Action Camera, Apparatus & Methods, Computer Vision, Digital Image Correlation, Geosynthetics, Image Analysis, Tensile Properties, Tensile Testing, Testing, Video Extensometer
- Orta Doğu Teknik Üniversitesi Adresli: Evet
Özet
This study presents a low-cost strain measurement technique that combines Python-based computer vision tools with a compact wide-angle action camera. The proposed method serves as an alternative to crosshead displacement, extensometer-based measurements, and conventional digital image correlation (DIC). Its accuracy is evaluated using in-isolation tensile tests conducted on two types of high-density polyethylene (HDPE) geomembranes and three types of nonwoven polypropylene (PP) geotextiles. Quantitative comparisons with existing methods are made using error metrics, highlighting the differences between the proposed technique and traditional approaches. The effects of testing speed and material characteristics on measurement performance are also examined. Consequently, the results demonstrate that the proposed method provides repeatable and accurate displacement measurements within a predefined gauge length using a series of image processing steps. In addition, complementary DIC analyses are used to identify regions of strain localization in the tested specimens.