Modeling and Identification of the Mechanical Properties of Achilles Tendon With Application in Health MonitoringSource: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2019:;volume ( 002 ):;issue: 001::page 11007Author:Kohut, Piotr
,
Holak, Krzysztof
,
Obuchowicz, Rafal
,
Ekiert, Martyna
,
Mlyniec, Andrzej
,
Ambrozinski, Lukasz
,
Tomaszewski, Krzysztof A.
,
Uhl, Tadeusz
DOI: 10.1115/1.4042397Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this study, we develop a modeling and experimental framework for multiscale identification of the biomechanical properties of the human Achilles tendon (AT). For this purpose, we extend our coarse-grained model of collagen fibrous materials with a chemomechanical model of collagen type I decomposition. High-temperature degradation of molecular chains of collagen in a water environment was simulated using a reactive molecular dynamics (MD) method. The results from MDs simulations allowed us to define the Arrhenius equation for collagen degradation kinetics and calculate the energy of activation together with the frequency factor. Kinetic coefficients obtained from a MD simulations were further used to provide better calibration of the a coarse grained (CG) model of collagen denaturation. For the experimental part of our framework, we performed a uniaxial tensile test of the human AT with additional use of digital image correlation (DIC) for ex vivo strain tracking. Using a different path of strain tracking, we were able to include the inhomogeneity of deformation and, therefore, regional variations in tissue stiffness. Our results, both in modeling and the experimental part of the study, are in line with already existing reports and thus provide an improved approach for multiscale biomechanical and chemomechanical studies of the human AT.
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| contributor author | Kohut, Piotr | |
| contributor author | Holak, Krzysztof | |
| contributor author | Obuchowicz, Rafal | |
| contributor author | Ekiert, Martyna | |
| contributor author | Mlyniec, Andrzej | |
| contributor author | Ambrozinski, Lukasz | |
| contributor author | Tomaszewski, Krzysztof A. | |
| contributor author | Uhl, Tadeusz | |
| date accessioned | 2019-06-08T09:28:58Z | |
| date available | 2019-06-08T09:28:58Z | |
| date copyright | 1/22/2019 0:00 | |
| date issued | 2019 | |
| identifier issn | 2572-3901 | |
| identifier other | nde_002_01_011007.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4257642 | |
| description abstract | In this study, we develop a modeling and experimental framework for multiscale identification of the biomechanical properties of the human Achilles tendon (AT). For this purpose, we extend our coarse-grained model of collagen fibrous materials with a chemomechanical model of collagen type I decomposition. High-temperature degradation of molecular chains of collagen in a water environment was simulated using a reactive molecular dynamics (MD) method. The results from MDs simulations allowed us to define the Arrhenius equation for collagen degradation kinetics and calculate the energy of activation together with the frequency factor. Kinetic coefficients obtained from a MD simulations were further used to provide better calibration of the a coarse grained (CG) model of collagen denaturation. For the experimental part of our framework, we performed a uniaxial tensile test of the human AT with additional use of digital image correlation (DIC) for ex vivo strain tracking. Using a different path of strain tracking, we were able to include the inhomogeneity of deformation and, therefore, regional variations in tissue stiffness. Our results, both in modeling and the experimental part of the study, are in line with already existing reports and thus provide an improved approach for multiscale biomechanical and chemomechanical studies of the human AT. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Modeling and Identification of the Mechanical Properties of Achilles Tendon With Application in Health Monitoring | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 1 | |
| journal title | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems | |
| identifier doi | 10.1115/1.4042397 | |
| journal fristpage | 11007 | |
| journal lastpage | 011007-8 | |
| tree | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2019:;volume ( 002 ):;issue: 001 | |
| contenttype | Fulltext |