NANAOct 11, 2018

Numerical upscaling of discrete network models

arXiv:1810.0505917 citations
AI Analysis

Provides an efficient coarse-scale representation for discrete network models, benefiting simulations of materials like paper with complex connectivity.

A numerical multiscale method for discrete networks is presented, achieving optimal order convergence rates for problems with highly varying connectivity or random structure. The method is applied to a network model for paper-based materials.

In this paper a numerical multiscale method for discrete networks is presented. The method gives an accurate coarse scale representation of the full network by solving sub-network problems. The method is used to solve problems with highly varying connectivity or random network structure, showing optimal order convergence rates with respect to the mesh size of the coarse representation. Moreover, a network model for paper-based materials is presented. The numerical multiscale method is applied to solve problems governed by the presented network model.

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