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The application of digital image correlation to investigate the heterogeneity of Achilles tendon deformation and determine its material parameters

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The challenge for researchers is to develop measurement techniques that can deal with biological specimens (e.g. the human Achilles tendon) characterized by high deformation during examination. The relevant quantity which has to be investigated in laboratory experiments is the deformation or strain field of the specimen subjected to a given load. In experimental mechanics, the most remarkable technique used for strain field computation is the Digital Image Correlation (DIC) method. In the paper, the DIC method is employed to study biomaterial parameters of human Achilles tendons (AT) subjected to tensile uniaxial loadings. The application of DIC allows the heterogeneity of tendon deformation to be taken into consideration. Young’s modulus of AT based on the strain field obtained from a vision-based measurement is estimated and the results are discussed. A map of Young’s modulus (YM) is demonstrated as well.
Rocznik
Strony
43--52
Opis fizyczny
Bibliogr. 25 poz., rys.
Twórcy
autor
  • AGH University of Science and Technology, Department of Robotics and Mechatronics, Krakow, Poland
  • AGH University of Science and Technology, Department of Robotics and Mechatronics, Krakow, Poland
  • AGH University of Science and Technology, Department of Robotics and Mechatronics, Krakow, Poland
  • AGH University of Science and Technology, Department of Robotics and Mechatronics, Krakow, Poland
  • Andrzej Frycz Modrzewski Krakow University, Faculty of Medicine and Health Sciences, Krakow, Poland
  • Scanmed St. Raphael Hospital, Krakow, Poland
autor
  • AGH University of Science and Technology, Department of Robotics and Mechatronics, Krakow, Poland
Bibliografia
  • 1. Affagard J.S., Bensamoun S.F., Feissel P., 2014, Development of an inverse approach for the characterization of in vivo mechanical properties of the lower limb muscles, Journal of Biomechanics, 136, 11.
  • 2. Ahn B., Kim J., 2010, Measurement and characterization of soft tissue behavior with Surface deformation and force response under large deformations, Medical Image Analysis, 14, 138-148.
  • 3. Cao W., Sun Y., Liu L., Wang Z., Wu J.Y., Qiu L., Wang Y.X., Yuan Y., Shen S.F., Chen Q., Chen T., Zhang W., Wu C.J., Liu F.X., Zhong S.G., Chen L., Tong M.H., Cui L.G., Guo R.J., 2018, A multicenter large-sample shear wave ultrasound elastographic study of the Achilles tendon in Chinese adults, Journal of Ultrasound in Medicine, 38, 5, 1191-1200.
  • 4. Chen X.M., Cui L.G., He P., Shen W.W., Qian Y.J., Wang J.R., 2013, Shear wave elastographic characterization of normal and torn Achilles tendons: A pilot study, Journal of Ultrasound in Medicine, 32, 3, 449-455.
  • 5. Chuda-Kowalska M., Gajewski T., Garbowski T., 2015, Mechanical characterization of orthotropic elastic parameters of a foam by the mixed experimental-numerical analysis, Journal of Theoretical and Applied Mechanics, 53, 2, 383-394.
  • 6. Hwang S.F., Shen M.C., Hsu B.B., 2015, Strain measurement of polymer materials by digital image correlation combined with finite-element analysis, Journal of Mechanical Science and Technology, 29, 10, 4189-4195.
  • 7. Hwang S.F., Wu W.J., 2012, Deformation measurement around a high strain-gradient region using a digital image correlation method, Journal of Mechanical Science and Technology, 26, 10, 3169-3175.
  • 8. Kahn C.J., Dumas D., Arab-Tehrany E., Marie V., Tran N., Wang X., Cleymand F., 2013, Structural and mechanical multi-scale characterization of white New-Zealand rabbit Achilles tendon, Journal of the Mechanical Behavior of Biomedical Materials, 26, 81-90.
  • 9. Kongsgaard M., Nielsen C.H., Hegnsvad S., Aagaard P., Magnusson S.P., 2011, Mechanical properties of the human Achilles tendon, in vivo, Clinical Biomechanics, 26, 7, 772-777.
  • 10. Luyckx T., Verstraete M., de Roo K., De Waele W., Bellemans J., Victor J., 2014, Digital image correlation as a tool for 3D strain analysis in human tendon tissue, Journal of Experimental Orthopaedics, 1, 7.
  • 11. Maganaris C.N., Narici M.V., Maffulli N., 2008, Biomechanics of the Achilles tendon, Disability and Rehabilitation, 30, 20-22, 1542-1547.
  • 12. Młyniec A., Mazur L., Tomaszewski K.A., Uhl T., 2015a, Viscoelasticity and failure of collagen nanofibrils: 3D Coarse-Grained simulation studies, Soft Materials, 13, 1, 47-58.
  • 13.
  • Młyniec A., Tomaszewski K.A., Spiesz E.M., Uhl T., 2015b, Molecular-based nonlinear viscoelastic chemomechanical model incorporating thermal denaturation kinetics of collagen fibrous biomaterials, Polymer Degradation and Stability, 119, 87-95.
  • 14. Myers K.M., Coudrillier B., Boyce B.L., Nguyen T.D., 2010, The inflation response of the posterior bovine sclera, Acta Biomaterialia, 6, 4327-4335.
  • 15. Obuchowicz R., Ekiert M., Kohut P., Holak K., Ambrozinski L., Tomaszewski K.A., Uhl T., Mlyniec A., 2019, Interfascicular matrix-mediated transverse deformation and sliding of discontinuous tendon subcomponents control the viscoelasticity and failure of tendons, Journal of the Mechanical Behavior of Biomedical Materials, 97, 238-246.
  • 16. Okotie G., Duenwald-Kuehl S., Kobayashi H., Wu M.J., Vanderby R., 2012, Tendon strain measurements with dynamic ultrasound images: evaluation of digital image correlation, Journal of Biomechanical Engineering, 134, 024504.
  • 17. Palanca M., Tozzi G., Cristofolini L., 2016 , The use of digital image correlation in the biomechanical area: a review, International Biomechanics, 3, 1, 1-21.
  • 18.
  • Pękala P.A., Henry B.M., Ochała A., Kopacz P., Tatoń G., Młyniec A., Walocha J.A., Tomaszewski K.A., 2017, The twisted structure of the Achilles tendon unraveled: A detailed quantitative and qualitative anatomical investigation, Scandinavian Journal of Medicine and Science in Sports, 27, 12, 1705-1715.
  • 19. Rashid B., Destrade M., Gilchrist M.D., 2014, Mechanical characterization of brain tissue in tension at dynamic strain rates, Journal of the Mechanical Behavior of Biomedical Materials, Special Issue on Forensic Biomechanics, 33, 43-54.
  • 20. Rizzuto E.S., Carosio S., del Prete C., 2016, Characterization of a digital image correlation system for dynamic strain measurements of small biological tissues, Experimental Techniques, 40, 2, 743-753.
  • 21. Takaza M., Moerman K.M., Simms C.K., 2013, Passive skeletal muscle response to impact loading: experimental testing and inverse modeling, Journal of the Mechanical Behavior of Biomedical Materials, 27, 214-225.
  • 22. Tan T., Davis F.M., Gruber D.D., Massengill J.C., Robertson J.L., de Vita R., 2015, Histo-mechanical properties of the swine cardinal and uterosacral ligaments, Journal of the Mechanical Behavior of Biomedical Materials, 42, 129-137.
  • 23. Untaroiu C.D., Lu Y.C., Siripurapu S.K., Kemper A.R., 2015, Modeling the biomechanical and injury response of human liver parenchyma under tensile loading, Journal of the Mechanical Behavior of Biomedical Materials, 41, 280-291.
  • 24. Wren T., Yerby S.A., Beaupré G.S., Carter D.R., 2001, Mechanical properties of the human achilles tendon, Clinical Biomechanics, 16, 3, 245-251.
  • 25. Zappa E., Hasheminejad N., 2017, Digital image correlation technique in dynamic applications on deformable targets, Experimental Techniques, 41, 4, 377-387.
Uwagi
„Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).”
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-add805b1-995e-4f11-a87f-cfd4c75a512b
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