Szczegóły publikacji
Opis bibliograficzny
Vision-based automatic fatigue crack visualization and assessment in metallic structures / Adam MACHYNIA, Ziemowit DWORAKOWSKI, Kajetan DZIEDZIECH, Michał Dziendzikowski, Krzysztof HOLAK // Measurement ; ISSN 0263-2241. — 2026 — vol. 257 pt. A art. no. 118521, s. 1–11. — Bibliogr. s. 10–11, Abstr. — Publikacja dostępna online od: 2025-07-31
Autorzy (5)
- AGHMachynia Adam
- AGHDworakowski Ziemowit
- AGHDziedziech Kajetan
- Dziendzikowski Michał
- AGHHolak Krzysztof
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 161804 |
|---|---|
| Data dodania do BaDAP | 2025-09-04 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.measurement.2025.118521 |
| Rok publikacji | 2026 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Measurement |
Abstract
Fatigue cracks in metallic structures pose significant risks to structural integrity, necessitating accurate assessment methods. This study presents a vision-based approach for automatic fatigue crack visualization and assessment using high-speed camera recordings. The proposed method leverages the crack breathing phenomenon and motion analysis in the frequency domain to generate amplitude maps that highlight crack-related motion patterns. An automatic scoring procedure is introduced for crack tip localization, enabling assessment of crack propagation. The methodology is validated through experimental studies on a cantilever beam and an aircraft plate structure. The results show that the method is robust to surface imperfections and varying excitation conditions, offering a non-invasive and automated solution for crack assessment.
