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首页> 外文期刊>Journal of Biomechanics >Dynamic tensile properties of bovine periodontal ligament: A nonlinear viscoelastic model
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Dynamic tensile properties of bovine periodontal ligament: A nonlinear viscoelastic model

机译：牛牙周膜的动态拉伸特性：非线性粘弹性模型

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As a support to the tooth, the mechanical response of the periodontal ligament (PDL) is complex. Like other connective tissues, the PDL exhibits non-linear and time-dependent behavior. The viscoelasticity of the PDL plays a significant role in low and high loading rates. Little information, however, is available on the short-term viscoelastic behavior of the PDL. Also, due to the highly non-linear stress-strain response, it was hypothesized that the dynamic viscoelastic properties of the PDL would be greatly dependent on the preload. Therefore, the present study was designed to explore the dynamic tensile properties of the bovine PDL as a function of loading frequency and preload. The in vitro dynamic tensile tests were performed over a wide range of frequencies (0.01-100 Hz) with dynamic force amplitude of 1 N and different preloads of 3, 5 and 10 N. The generalized Maxwell model was utilized to describe the nonlinear viscoelastic behavior of the PDL. The low loss factor of the bovine PDL, measured between 0.04 and 0.08, indicates low energy dissipation due to the high content of collagen fibers. Moreover, the influence of viscous components in the linear region of the stress-strain curve (10 N preload) was lower than those of the toe region (3 N preload). The data reported in this study could be used in developing accurate computational models of the PDL. (C) 2016 Elsevier Ltd. All rights reserved.
机译：作为对牙齿的支持，牙周膜（PDL）的机械响应很复杂。像其他结缔组织一样，PDL表现出非线性和时间依赖性行为。 PDL的粘弹性在低和高加载速率中都起着重要作用。但是，有关PDL的短期粘弹性行为的信息很少。同样，由于高度非线性的应力-应变响应，可以假设PDL的动态粘弹特性将很大程度上取决于预紧力。因此，本研究旨在探讨牛PDL的动态拉伸性能与加载频率和预加载的关系。体外动态拉伸试验在宽范围的频率（0.01-100 Hz）下进行，动态力振幅为1 N，不同的预紧力分别为3、5和10N。使用广义Maxwell模型描述非线性粘弹性行为PDL。牛PDL的低损耗因子在0.04至0.08之间，表明由于胶原纤维含量高，能量消耗低。此外，在应力-应变曲线的线性区域（预应力为10 N）中，粘性成分的影响要比趾部区域（预应力为3 N）低。本研究报告的数据可用于开发PDL的准确计算模型。 （C）2016 Elsevier Ltd.保留所有权利。

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