Surface wrinkling of mucosa induced by volumetric growth: Theory, simulation and experiment

被引:208
作者
Li, Bo [1 ]
Cao, Yan-Ping [1 ]
Feng, Xi-Qiao [1 ]
Gao, Huajian [2 ]
机构
[1] Tsinghua Univ, Inst Biomech & Med Engn, Dept Engn Mech, Beijing 100084, Peoples R China
[2] Brown Univ, Sch Engn, Providence, RI 02912 USA
基金
中国国家自然科学基金;
关键词
Tissue growth; Buckling; Postbuckling; Exact elasticity; Finite element method; RESIDUAL-STRESS; EXTERNAL-PRESSURE; ELASTIC TISSUES; MIXTURE MODEL; FINITE GROWTH; INSTABILITY; MECHANICS; ASTHMA; DRIVEN; TUMOR;
D O I
10.1016/j.jmps.2011.01.010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Mechanics of living tissues focusing on the relationships between growth, morphology and function is not only of theoretical interest but can also be useful for diagnosis of certain diseases. In this paper, we model the surface wrinkling morphology of mucosa, the moist tissue that commonly lines organs and cavities throughout the body, induced by either physiological or pathological volumetric growth. A theoretical framework of finite deformation is adopted to analyze the deformation of a cylindrical cavity covered by mucosal and submucosal layers. It is shown that compressive residual stresses induced by the confined growth of mucosa can destabilize the tissue into various surface wrinkling patterns. A linear stability analysis of the critical condition and characteristic buckling patterns indicates that the wrinkling mode is sensitive to the thicknesses of the mucosal and submucosal layers, as well as the properties of the tissues. The thinner the mucosal layer and the lower its elastic modulus, the shorter the buckling wavelength. A series of finite element simulations are performed to validate the theoretical predictions and to study local wrinkling or non-uniform patterns associated with inhomogeneous growth. Our postbuckling analysis shows that the surface pattern may evolve towards a period-doubling morphology due to continuous growth of mucosa or submucosa beyond the critical state. Finally, the theoretical predictions and numerical simulations are compared to experimental observations. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:758 / 774
页数:17
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