Nonlinear viscoelastic effects of fascia: experimental findings and constitutive modelling.

IF 3.4 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Alejandro Aparici-Gil, Marta M Perez, Estefania Peña
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引用次数: 0

Abstract

This study provides a comprehensive biomechanical characterization of the fascia lata, integrating systematic stress-relaxation protocols and, for the first time, dynamic mechanical analysis to resolve its complex dissipative mechanisms. Experimental tests were conducted along both longitudinal and transverse fibre orientations across multiple strain levels and frequencies to assess the synergistic effects of anisotropy, strain magnitude and loading rate. To describe these phenomena, three visco-hyperelastic constitutive frameworks were developed and compared: a first-order linear model (n=1), a generalized Maxwell model with two internal variables (n=2) and a nonlinear strain-dependent formulation. Results reveal a marked anisotropic viscoelastic profile, with the transverse direction exhibiting a significantly higher relaxation capacity (ratio of 0.666±0.144 at 2.5% strain) compared to the longitudinal axis (0.817±0.049), driven by the viscous flow of the interfibrillar ground substance. Although the tissue demonstrated marginal nonlinear viscoelasticity, the linear n=2 model outperformed the nonlinear n=1 framework, achieving superior predictive fidelity (R2=0.7321, NRMSE=0.1216 versus R2=0.7200, RMSE=0.2949 MPa). Results indicate that spectral refinement outweighs nonlinear complexity in this context. Specifically, the dual-branch linear approach captures the tissue's fundamental dissipation more effectively than a single-branch nonlinear formulation, which tends towards over-parametrization.

筋膜的非线性粘弹性效应:实验结果和本构模型。
本研究提供了阔筋膜的全面生物力学特征,整合了系统的应力松弛方案,并首次采用动态力学分析来解决其复杂的耗散机制。实验测试沿纵向和横向纤维方向在多个应变水平和频率下进行,以评估各向异性、应变大小和加载速率的协同效应。为了描述这些现象,开发并比较了三种粘-超弹性本构框架:一阶线性模型(n=1),具有两个内变量的广义Maxwell模型(n=2)和非线性应变相关公式。结果表明,在纤维间基质黏性流动的驱动下,纤维纤维具有明显的各向异性粘弹性,其横向弛豫能力(2.5%应变时的比值为0.666±0.144)明显高于纵向弛豫能力(0.817±0.049)。尽管组织表现出边缘非线性粘弹性,但线性n=2模型优于非线性n=1框架,实现了更高的预测保真度(R2=0.7321, NRMSE=0.1216, R2=0.7200, RMSE=0.2949 MPa)。结果表明,在这种情况下,谱精化优于非线性复杂性。具体来说,双分支线性方法比单分支非线性公式更有效地捕获组织的基本耗散,后者倾向于过度参数化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
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