Kinematic estimation of fracture mechanics parameter with automatic crack-tip identification. (January 2022)
- Record Type:
- Journal Article
- Title:
- Kinematic estimation of fracture mechanics parameter with automatic crack-tip identification. (January 2022)
- Main Title:
- Kinematic estimation of fracture mechanics parameter with automatic crack-tip identification
- Authors:
- Baldi, Antonio
Santucci, Pietro Maria - Abstract:
- Abstract: Digital Image Correlation (DIC) is probably one of the most used optical methods for displacements and strains measurement and has been used both in its standard form and in its integrated variant to extract the fracture mechanics parameters from a set of images of the crack. However, differently from photoelasticity, where stress data is directly available because the imaged fringes are proportional to σ 1 − σ 2, in the DIC case the fracture mechanics parameters result from a reverse calibration procedure involving the least-squares fit of a theoretical displacement model to the experimental data. Thus, the accuracy of the computed parameters critically depends on the exact identification of the crack location and orientation. This problem is well known, and a partial solution has been provided by Réthoré et al. (2008), who proposed an approach for computing the distance from the estimated and the true location of the crack tip in the longitudinal direction using the first hypersingular functions (i.e., the 1st negative term of William's series). However, no hint is provided to estimate the crack orientation. This work wants to fill the gap, describing an automatic algorithm for the complete identification of the crack tip location. Highlights: Two automatic algorithms for crack tip location are proposed. The use of supersingular fields is extended to allow for a complete crack location. Subsingular fields give a marginal contribution to stress parametersAbstract: Digital Image Correlation (DIC) is probably one of the most used optical methods for displacements and strains measurement and has been used both in its standard form and in its integrated variant to extract the fracture mechanics parameters from a set of images of the crack. However, differently from photoelasticity, where stress data is directly available because the imaged fringes are proportional to σ 1 − σ 2, in the DIC case the fracture mechanics parameters result from a reverse calibration procedure involving the least-squares fit of a theoretical displacement model to the experimental data. Thus, the accuracy of the computed parameters critically depends on the exact identification of the crack location and orientation. This problem is well known, and a partial solution has been provided by Réthoré et al. (2008), who proposed an approach for computing the distance from the estimated and the true location of the crack tip in the longitudinal direction using the first hypersingular functions (i.e., the 1st negative term of William's series). However, no hint is provided to estimate the crack orientation. This work wants to fill the gap, describing an automatic algorithm for the complete identification of the crack tip location. Highlights: Two automatic algorithms for crack tip location are proposed. The use of supersingular fields is extended to allow for a complete crack location. Subsingular fields give a marginal contribution to stress parameters identification. Crack Orientation is shown to be a critical parameter. Image generator for iDIC testing is described. … (more)
- Is Part Of:
- Engineering fracture mechanics. Volume 259(2022)
- Journal:
- Engineering fracture mechanics
- Issue:
- Volume 259(2022)
- Issue Display:
- Volume 259, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 259
- Issue:
- 2022
- Issue Sort Value:
- 2022-0259-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- Digital Image Correlation -- Crack tip opening angle -- Stress intensity factor -- Fatigue crack growth
Fracture mechanics -- Periodicals
Rupture, Mécanique de la -- Périodiques
Fracture mechanics
Periodicals
620.112605 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00137944 ↗
http://www.elsevier.com/journals ↗
http://www.elsevier.com/wps/find/homepage.cws_home ↗ - DOI:
- 10.1016/j.engfracmech.2021.108082 ↗
- Languages:
- English
- ISSNs:
- 0013-7944
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3761.350000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20573.xml