Name
Abstract | ||
|---|---|---|
In this paper, we study the numerical solution of elliptic homogenization problems with stationary and ergodic coefficients characterized by a small length scale epsilon. The issue of asymptotic compatibility as epsilon -> 0 is examined for a number of different numerical approximations, which enables us to construct robust discretization schemes to eliminate the resonance and under-resolution errors caused by the inappropriate use of base functions. In addition to the study of effective characteristics based on particular sample realizations that are subject to random effects, we also consider approximations by numerically evaluating the expectation of realized values. When the Monte Carlo finite element method is applied for the latter, error estimation is derived to guide parameter choices so as to further enhance the computational efficiency by performing relatively few samples while attaining high accuracy. Numerical experiments are presented to validate and supplement our theoretical findings. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1137/17M1132604 | SIAM JOURNAL ON NUMERICAL ANALYSIS |
Keywords | Field | DocType |
stochastic homogenization,asymptotic compatibility,multiscale finite element method,Monte Carlo method | Discretization,Random effects model,Monte Carlo method,Length scale,Compatibility (mechanics),Mathematical analysis,Homogenization (chemistry),Ergodic theory,Finite element method,Mathematics | Journal |
Volume | Issue | ISSN |
56 | 3 | 0036-1429 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||