膜的动态边界条件,其表面能取决于平均和高斯曲率

S. Gavrilyuk, H. Gouin
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引用次数: 3

摘要

膜是物理化学和生物学中重要的研究课题。它们可以被认为是具有依赖于曲率张量的表面能的材料表面。通常,文献中建立的数学模型只考虑表面能对平均曲率的依赖,并增加高斯曲率的线性项。因此,对于封闭曲面,高斯曲率项可以通过高斯-博内定理消除。在[18]中,静力学中考虑了对平均曲率和高斯曲率的依赖。导出了接触线上的形状方程和两个标量边界条件。本文利用虚功原理,导出了一般动力弯曲下流体膜的运动方程和边界条件。推广了经典Young-Dupr{\'e}条件,得到了膜表面的动态“形状方程”和接触线上的动态条件。
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Dynamic boundary conditions for membranes whose surface energy depends on the mean and Gaussian curvatures
Membranes are an important subject of study in physical chemistry and biology. They can be considered as material surfaces with a surface energy depending on the curvature tensor. Usually, mathematical models developed in the literature consider the dependence of surface energy only on mean curvature with an added linear term for Gauss curvature. Therefore, for closed surfaces the Gauss curvature term can be eliminated because of the Gauss-Bonnet theorem. In [18], the dependence on the mean and Gaussian curvatures was considered in statics. The authors derived the shape equation as well as two scalar boundary conditions on the contact line. In this paper-thanks to the principle of virtual working-the equations of motion and boundary conditions governing the fluid membranes subject to general dynamical bending are derived. We obtain the dynamic 'shape equa-tion' (equation for the membrane surface) and the dynamic conditions on the contact line generalizing the classical Young-Dupr{\'e} condition.
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来源期刊
CiteScore
3.00
自引率
5.30%
发文量
11
期刊介绍: MEMOCS is a publication of the International Research Center for the Mathematics and Mechanics of Complex Systems. It publishes articles from diverse scientific fields with a specific emphasis on mechanics. Articles must rely on the application or development of rigorous mathematical methods. The journal intends to foster a multidisciplinary approach to knowledge firmly based on mathematical foundations. It will serve as a forum where scientists from different disciplines meet to share a common, rational vision of science and technology. It intends to support and divulge research whose primary goal is to develop mathematical methods and tools for the study of complexity. The journal will also foster and publish original research in related areas of mathematics of proven applicability, such as variational methods, numerical methods, and optimization techniques. Besides their intrinsic interest, such treatments can become heuristic and epistemological tools for further investigations, and provide methods for deriving predictions from postulated theories. Papers focusing on and clarifying aspects of the history of mathematics and science are also welcome. All methodologies and points of view, if rigorously applied, will be considered.
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