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用于骨组织材料参数识别的两层粘弹塑性流变模型。

A two-layer elasto-visco-plastic rheological model for the material parameter identification of bone tissue.

机构信息

Division Biomechanics, Department of Anatomy and Biomechanics, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria.

Institute of Lightweight Design and Structural Biomechanics, Vienna University of Technology, Vienna, Austria.

出版信息

Biomech Model Mechanobiol. 2020 Dec;19(6):2149-2162. doi: 10.1007/s10237-020-01329-0. Epub 2020 May 6.

Abstract

The ability to measure bone tissue material properties plays a major role in diagnosis of diseases and material modeling. Bone's response to loading is complex and shows a viscous contribution to stiffness, yield and failure. It is also ductile and damaging and exhibits plastic hardening until failure. When performing mechanical tests on bone tissue, these constitutive effects are difficult to quantify, as only their combination is visible in resulting stress-strain data. In this study, a methodology for the identification of stiffness, damping, yield stress and hardening coefficients of bone from a single cyclic tensile test is proposed. The method is based on a two-layer elasto-visco-plastic rheological model that is capable of reproducing the specimens' pre- and postyield response. The model's structure enables for capturing the viscously induced increase in stiffness, yield, and ultimate stress and for a direct computation of the loss tangent. Material parameters are obtained in an inverse approach by optimizing the model response to fit the experimental data. The proposed approach is demonstrated by identifying material properties of individual bone trabeculae that were tested under wet conditions. The mechanical tests were conducted according to an already published methodology for tensile experiments on single trabeculae. As a result, long-term and instantaneous Young's moduli were obtained, which were on average 3.64 GPa and 5.61 GPa, respectively. The found yield stress of 16.89 MPa was lower than previous studies suggest, while the loss tangent of 0.04 is in good agreement. In general, the two-layer model was able to reproduce the cyclic mechanical test data of single trabeculae with an root-mean-square error of 2.91 ± 1.77 MPa. The results show that inverse rheological modeling can be of great advantage when multiple constitutive contributions shall be quantified based on a single mechanical measurement.

摘要

测量骨组织材料性能的能力在疾病诊断和材料建模中起着重要作用。骨骼对加载的反应是复杂的,表现出对刚度、屈服和失效的粘性贡献。它也具有延展性和损伤性,并表现出塑性硬化,直到失效。在对骨组织进行力学测试时,由于只有它们的组合在产生的应力-应变数据中可见,这些本构效应很难量化。在这项研究中,提出了一种从单个循环拉伸试验中识别骨的刚度、阻尼、屈服应力和硬化系数的方法。该方法基于能够再现试件屈服前后响应的两层粘弹性塑性流变模型。该模型的结构能够捕捉到粘性引起的刚度、屈服和极限应力的增加,并能够直接计算损耗因子。通过优化模型响应以拟合实验数据,以反演方法获得材料参数。通过识别在湿条件下测试的单个骨小梁的材料特性来证明所提出的方法。力学测试是根据已经发表的用于单小梁拉伸实验的方法进行的。结果,获得了长期和瞬时杨氏模量,平均值分别为 3.64 GPa 和 5.61 GPa。发现的屈服应力为 16.89 MPa,低于先前的研究结果,而损耗因子为 0.04,这是一致的。一般来说,两层模型能够以均方根误差为 2.91 ± 1.77 MPa 的精度再现单个小梁的循环力学测试数据。结果表明,当需要根据单个力学测量来量化多个本构贡献时,反向流变学建模具有很大的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d83/7603462/f7fe6d263e77/10237_2020_1329_Fig1_HTML.jpg

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