Structural and Multidisciplinary Optimization

, Volume 47, Issue 4, pp 493–505

Parallel framework for topology optimization using the method of moving asymptotes

Authors

    • Department of Mechanical Engineering, Solid MechanicsTechnical University of Denmark
  • Boyan S. Lazarov
    • Department of Mechanical Engineering, Solid MechanicsTechnical University of Denmark
Research Paper

DOI: 10.1007/s00158-012-0869-2

Cite this article as:
Aage, N. & Lazarov, B.S. Struct Multidisc Optim (2013) 47: 493. doi:10.1007/s00158-012-0869-2

Abstract

The complexity of problems attacked in topology optimization has increased dramatically during the past decade. Examples include fully coupled multiphysics problems in thermo-elasticity, fluid-structure interaction, Micro-Electro Mechanical System (MEMS) design and large-scale three dimensional problems. The only feasible way to obtain a solution within a reasonable amount of time is to use parallel computations in order to speed up the solution process. The focus of this article is on a fully parallel topology optimization framework implemented in C++, with emphasis on utilizing well tested and simple to implement linear solvers and optimization algorithms. However, to ensure generality, the code is developed to be easily extendable in terms of physical models as well as in terms of solution methods, without compromising the parallel scalability. The widely used Method of Moving Asymptotes optimization algorithm is parallelized and included as a fundamental part of the code. The capabilities of the presented approaches are demonstrated on topology optimization of a Stokes flow problem with target outflow constraints as well as the minimum compliance problem with a volume constraint from linear elasticity.

Keywords

Topology optimization Method of moving asymptotes Parallel computing Indefinite systems

Copyright information

© Springer-Verlag Berlin Heidelberg 2013