首页> 外文期刊>Journal of teoretical and applied mechanics >THE APPLICATION OF DIGITAL IMAGE CORRELATION TO INVESTIGATE THE HETEROGENEITY OF ACHILLES TENDON DEFORMATION AND DETERMINE ITS MATERIAL PARAMETERS
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THE APPLICATION OF DIGITAL IMAGE CORRELATION TO INVESTIGATE THE HETEROGENEITY OF ACHILLES TENDON DEFORMATION AND DETERMINE ITS MATERIAL PARAMETERS

机译:数字图像相关性应用于研究阿基里斯肌腱变形的异质性并确定其材料参数

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摘要

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.
机译:研究人员的挑战是开发能够处理生物标本(例如人血管肌腱)的测量技术,其考试期间具有高变形的特征。在实验室实验中必须研究的相关量是对给定负荷进行的样本的变形或菌株场。在实验力学中,用于应变场计算的最显着的技术是数字图像相关(DIC)方法。在本文中,使用DIC方法研究人脑肌腱(AT)对抗拉性单轴载荷的生物材料参数。 DIC的应用允许考虑肌腱变形的异质性。估计基于从基于视觉的测量获得的应变场的杨氏模量,并讨论了结果。还展示了杨氏模量(YM)的地图。

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