Abstract
Scale separation is often assumed in most multiscale topology optimization frameworks. In this work, topology optimization of heterogeneous structures consisting of inseparable unit cells is studied. The cell morphology is given first and remains unchanged during the optimization process. A nonlocal numerical homogenization method is used to construct a mesoscopic constitutive relationship between the material and the structural scales. Topology optimization is performed on heterostructures at the higher mesoscale, and only based on a coarse grid for computational savings. Numerical studies show that the structural stiffness has been significantly improved compared to classical multiscale topology optimization using separation assumptions. However, there is still a size dependence of the optimal mesostructure related to the characteristic effect of the unit lattice.
| Original language | English |
|---|---|
| Pages (from-to) | 1333-1351 |
| Number of pages | 19 |
| Journal | International Journal for Numerical Methods in Engineering |
| Volume | 122 |
| Issue number | 5 |
| DOIs | |
| State | Published - 15 Mar 2021 |
Keywords
- heterogeneous structures
- nonlocal homogenization
- nonseparated scales
- size effects
- structural design