An Approximate Newton Smoothing Method for Shape Optimization
Optimization and Control
2018-07-31 v1
Abstract
A novel methodology to efficiently approximate the Hessian for numerical shape optimization is considered. The method enhances operator symbol approximations by including body fitted coordinates and spatially changing symbols in a semi automated framework based on local Fourier analysis. Contrary to classical operator symbol methods, the proposed strategy will identify areas in which a non-smooth design is physically meaningful and will automatically turn off smoothing in these regions. A new strategy to also numerically identify the analytic symbol is derived, extending the procedure to a wide variety of problems. The effectiveness is demonstrated by using drag minimization in Stokes and Navier-Stokes flows.
Cite
@article{arxiv.1807.11232,
title = {An Approximate Newton Smoothing Method for Shape Optimization},
author = {Jonas Kusch and Stephan Schmidt and Nicolas R. Gauger},
journal= {arXiv preprint arXiv:1807.11232},
year = {2018}
}