Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection

We present a strategy grounded in the element removal idea of Bruns and Tortorelli (2003) and aimed at reducing computational cost and circumventing potential numerical instabilities of density-based topology optimization. The design variables and the relative densities are both represented on a fix...

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Main Authors: Behrou, Reza, Lotfi, Reza, Carstensen, Josephine Voigt, Ferrari, Federico, Guest, James K
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:English
Published: Elsevier BV 2021
Online Access:https://hdl.handle.net/1721.1/132730
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author Behrou, Reza
Lotfi, Reza
Carstensen, Josephine Voigt
Ferrari, Federico
Guest, James K
author2 Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
author_facet Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Behrou, Reza
Lotfi, Reza
Carstensen, Josephine Voigt
Ferrari, Federico
Guest, James K
author_sort Behrou, Reza
collection MIT
description We present a strategy grounded in the element removal idea of Bruns and Tortorelli (2003) and aimed at reducing computational cost and circumventing potential numerical instabilities of density-based topology optimization. The design variables and the relative densities are both represented on a fixed, uniform finite element grid, and linked through filtering and Heaviside projection. The regions in the analysis domain where the relative density is below a specified threshold are removed from the forward analysis and replaced by nodal boundary conditions. This brings a progressive cut of the computational cost as the optimization proceeds and helps to mitigate numerical instabilities associated with low-density regions. Removed regions can be readily reintroduced since all the design variables remain active and are modeled in the formal sensitivity analysis. A key feature of the proposed approach is that the Heaviside projection promotes material reintroduction along the structural boundaries by amplifying the magnitude of the sensitivities inside the filter reach. Several 2D and 3D structural topology optimization examples are presented, including linear and nonlinear compliance minimization, the design of a force inverter, and frequency and buckling load maximization. The approach is shown to be effective at producing optimized designs equivalent or nearly equivalent to those obtained without the element removal, while providing remarkable computational savings.
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spelling mit-1721.1/1327302024-05-31T20:33:24Z Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection Behrou, Reza Lotfi, Reza Carstensen, Josephine Voigt Ferrari, Federico Guest, James K Massachusetts Institute of Technology. Department of Civil and Environmental Engineering We present a strategy grounded in the element removal idea of Bruns and Tortorelli (2003) and aimed at reducing computational cost and circumventing potential numerical instabilities of density-based topology optimization. The design variables and the relative densities are both represented on a fixed, uniform finite element grid, and linked through filtering and Heaviside projection. The regions in the analysis domain where the relative density is below a specified threshold are removed from the forward analysis and replaced by nodal boundary conditions. This brings a progressive cut of the computational cost as the optimization proceeds and helps to mitigate numerical instabilities associated with low-density regions. Removed regions can be readily reintroduced since all the design variables remain active and are modeled in the formal sensitivity analysis. A key feature of the proposed approach is that the Heaviside projection promotes material reintroduction along the structural boundaries by amplifying the magnitude of the sensitivities inside the filter reach. Several 2D and 3D structural topology optimization examples are presented, including linear and nonlinear compliance minimization, the design of a force inverter, and frequency and buckling load maximization. The approach is shown to be effective at producing optimized designs equivalent or nearly equivalent to those obtained without the element removal, while providing remarkable computational savings. 2021-10-06T13:57:01Z 2021-10-06T13:57:01Z 2021-04 2021-02 2021-10-05T18:40:34Z Article http://purl.org/eprint/type/JournalArticle 0045-7825 https://hdl.handle.net/1721.1/132730 Reza Behrou, Reza Lotfi, Josephine Voigt Carstensen, Federico Ferrari, James K. Guest, Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection, Computer Methods in Applied Mechanics and Engineering, Volume 380, 2021 en 10.1016/J.CMA.2021.113799 Computer Methods in Applied Mechanics and Engineering Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV arXiv
spellingShingle Behrou, Reza
Lotfi, Reza
Carstensen, Josephine Voigt
Ferrari, Federico
Guest, James K
Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection
title Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection
title_full Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection
title_fullStr Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection
title_full_unstemmed Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection
title_short Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection
title_sort revisiting element removal for density based structural topology optimization with reintroduction by heaviside projection
url https://hdl.handle.net/1721.1/132730
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