Two-scale homogenization of the Poisson equation with friction boundary condition in a perforated domain

2016 ◽  
Vol 96 (3-4) ◽  
pp. 331-349
Author(s):  
L. Baffico
Keyword(s):  
Boundary Condition ◽  
Poisson Equation ◽  
Perforated Domain ◽  
The Poisson Equation

REINFORCEMENT OF THE POISSON EQUATION BY A THIN LAYER

2011 ◽  
Vol 21 (05) ◽  
pp. 1153-1192 ◽  
Author(s):  
JINGYU LI ◽  
KAIJUN ZHANG
Keyword(s):  
Boundary Condition ◽  
Shear Modulus ◽  
Poisson Equation ◽  
Dirichlet Boundary Condition ◽  
Dirichlet Boundary ◽  
Neumann Boundary ◽  
Robin Boundary Condition ◽  
Oscillation Period ◽  
The Poisson Equation ◽  
Robin Boundary

We consider the problem of reinforcing an elastic medium by a strong, rough, thin external layer. This model is governed by the Poisson equation with homogeneous Dirichlet boundary condition. We characterize the asymptotic behavior of the solution as the shear modulus of the layer goes to infinity. We find that there are four types of behaviors: the limiting solution satisfies Poisson equation with Dirichlet boundary condition, Robin boundary condition or Neumann boundary condition, or the limiting solution does not exist. The specific type depends on the integral of the load on the medium, the curvature of the interface and the scaling relations among the shear modulus, the thickness and the oscillation period of the layer.

scholarly journals Homogenization of the Poisson equation in a non-periodically perforated domain

2021 ◽  
pp. 1-27
Author(s):  
Xavier Blanc ◽  
Sylvain Wolf
Keyword(s):  
Poisson Equation ◽  
Dirichlet Boundary ◽  
Rocky Mountain ◽  
Dirichlet Boundary Conditions ◽  
Perforated Domain ◽  
Periodic Case ◽  
Localized Deformation ◽  
The Poisson Equation ◽  
Homogeneous Dirichlet Boundary Conditions ◽  
Periodic Setting

We study the Poisson equation in a perforated domain with homogeneous Dirichlet boundary conditions. The size of the perforations is denoted by ε > 0, and is proportional to the distance between neighbouring perforations. In the periodic case, the homogenized problem (obtained in the limit ε → 0) is well understood (see (Rocky Mountain J. Math. 10 (1980) 125–140)). We extend these results to a non-periodic case which is defined as a localized deformation of the periodic setting. We propose geometric assumptions that make precise this setting, and we prove results which extend those of the periodic case: existence of a corrector, convergence to the homogenized problem, and two-scale expansion.

Local Solvability of a Linear System with a Fractional Derivative in Time in a Boundary Condition

2015 ◽  
Vol 18 (4) ◽  
Author(s):  
Nataliya Vasylyeva
Keyword(s):  
Boundary Condition ◽  
Linear System ◽  
Fractional Derivative ◽  
Classical Solution ◽  
Poisson Equation ◽  
Existence And Uniqueness ◽  
Local Solvability ◽  
The Poisson Equation ◽  
The Right ◽  
Coercive Estimates

AbstractIn this paper we analyze a linear system for the Poisson equation with a boundary condition comprising the fractional derivative in time and the right-hand sides depended on time. First, we prove existence and uniqueness of the classical solution to this problem, and provide the coercive estimates of the solution. Second, based on the obtained results we establish one-to-one solvability to a linear system of a general form in the H¨older spaces.

Image Segmentation Based on Poisson Equation

2013 ◽  
Vol 284-287 ◽  
pp. 3131-3134
Author(s):  
Zhi Heng Zhou ◽  
Hui Qiang Zhong
Keyword(s):  
Boundary Condition ◽  
Image Segmentation ◽  
Poisson Equation ◽  
Dirichlet Boundary Condition ◽  
Dirichlet Boundary ◽  
Segmentation Method ◽  
Snake Model ◽  
The Poisson Equation ◽  
Binary Segmentation ◽  
Edge Based

Image segmentation is an important part of the image processing. Currently, image segmentation methods are mainly the threshold-based segmentation method, the region-based segmentation method, the edge-based segmentation method and the Snake model based on energy function etc. This paper presents a novel image segmentation method based on the Poisson equation. The goal of the segmentation method is to divide the image into two homogeneous parts, the boundary portion and the non-boundary portion, which have similar gray values in homogeneous part. The key of the method is to build a Poisson equation with Dirichlet boundary condition. It sets a gradient threshold as the Dirichlet boundary condition of the Poisson equation, and gets a binary image by retaining the image boundary and smoothing the non-image boundary. Then simple binary segmentation will be able to get the image boundary. The experimental results show that this segmentation method can get accurate image boundaries for non-noise images and the weak noise images.

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