Journal
COMPOSITE STRUCTURES
Volume 294, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2022.115718
Keywords
Computational homogenization; Boundary conditions; RVE; SVE; Mesoscopic volume; Effective parameters; Apparent parameters; FEM
Categories
Funding
- European Regional Development Fund [RPLD.01.01.00-10-0003/18]
Ask authors/readers for more resources
This paper investigates generalized boundary conditions for mesoscopic statistical volume elements (SVEs) in computational homogenization methods. The method combines both classical uniform kinematic constraining and uniform static loading of the SVE, resulting in apparent homogenized parameters. The method is implemented within the finite element framework and can be used for random composites without assumptions on the SVE geometry.
This paper investigates generalized boundary conditions for mesoscopic statistical volume elements (SVEs) in computational homogenization methods. Lagrange multipliers are used to enforce the average values of the macroscopic quantity over the SVE. Spring-like constraints are simultaneously applied at the boundary in order to take into account microscopically perturbed interaction between the mesoscopic volume and its surroundings. This approach provides apparent homogenized parameters, which are located between the results generated by classical uniform kinematic constraining and uniform static loading of the SVE. Since the method combines both these solutions, the term generalized boundary conditions is used. A single parameter with the dimension of length is recognized and adjusted to obtain good homogenization results, even for small SVEs. The method was implemented within the finite element framework and the formula for calculating apparent stiffness tensor, in the convenient form of a single matrix equation, was given. 2D and 3D reference homogenization examples are also provided. The presented approach is especially suitable for random composites, as no assumptions concerning the SVE geometry, such as periodicity, are necessary.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available