Topology optimization driven by anisotropic mesh adaptation: towards a free-form design
Keywords
Advanced Numerical Methods for Scientific Computing
SC4I/Digitization, Innovation, and Competitiveness of the Production System
Code:
02/2019
Title:
Topology optimization driven by anisotropic mesh adaptation: towards a free-form design
Date:
Saturday 19th January 2019
Author(s):
Micheletti, S.; Perotto, S.; Soli, L.
Download link:
Abstract:
We propose the new adaptive algorithm SIMPATY for topology opti-
mization to design lightweight and stiff structures exhibiting free-form fea-
tures. This is achieved by properly combining the classical SIMP method
with an anisotropic mesh adaptation strategy based on a recovery-based a
posteriori error estimator. Mesh adaptivity allows us to contain (and, for
simple structures, even to eliminate) the filtering usually adopted in a topol-
ogy optmization context. Thus, the final layout is intrinsically smooth, so
that the post-processing phase can be strongly reduced (or even skipped),
and the structure can directly move on to the production manufacturing
phase. A free-form design is also enhanced by anisotropic mesh adaptivity.
An extensive numerical validation supports these remarkable properties.
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Computers and Structures
Computers and Structures