Efficient and optimized identification of generalized Maxwell viscoelastic relaxation spectra

被引:66
作者
Babaei, Behzad [1 ]
Davarian, Ali [2 ,3 ]
Pryse, Kenneth M. [2 ]
Elson, Elliot L. [2 ]
Genin, Guy M. [1 ]
机构
[1] Washington Univ, Dept Mech Engn & Mat Sci, St Louis, MO USA
[2] Washington Univ, Sch Med, Dept Biochem & Mol Biophys, St Louis, MO 63110 USA
[3] Golestan Univ Med Sci, Ischem Disorders Res Ctr, Gorgan, Iran
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
Relaxation spectrum; Viscoelastic model identification; Generalized Maxwell model; Maxwell-Wiechert model; Collagen; MECHANICAL-PROPERTIES; INTEGRAL-EQUATIONS; COLLAGEN; TENDON; MODEL; ELASTOGRAPHY; COMPRESSION; MATRIX;
D O I
10.1016/j.jmbbm.2015.10.008
中图分类号
R318 [生物医学工程];
学科分类号
100103 [病原生物学];
摘要
Viscoelastic relaxation spectra are essential for predicting and interpreting the mechanical responses of materials and structures. For biological tissues, these spectra must usually be estimated from viscoelastic relaxation tests. Interpreting viscoelastic relaxation tests is challenging because the inverse problem is expensive computationally. We present here an efficient algorithm that enables rapid identification of viscoelastic relaxation spectra. The algorithm was tested against trial data to characterize its robustness and identify its limitations and strengths. The algorithm was then applied to identify the viscoelastic response of reconstituted collagen, revealing an extensive distribution of viscoelastic time constants. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:32 / 41
页数:10
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