DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Toplogical optimization of structures using Fourier representations

Abstract

The minimization of compliance subject to a mass constraint is the topology optimization design problem of interest. The goal is to determine the optimal configuration of material within an allowed volume. Our approach builds upon the well-known density method in which the decision variable is the material density in every cell in a mesh. In it’s most basic form the density method consists of three steps: 1) the problem is convexified by replacing the integer material indicator function with a volume fraction, 2) the problem is regularized by filtering the volume fraction field to impose a minimum length scale; 3) the filtered volume fraction is penalized to steer the material distribution toward binary designs. The filtering step is used to yield a mesh-independent solution and to eliminate checkerboard instabilities. In image processing terms this is a low-pass filter, and a consequence is that the decision variables are not independent and a change of basis could significantly reduce the dimension of the nonlinear programming problem. Based on this observation, we represent the volume fraction field with a truncated Fourier representation. Furthermore, this imposes a minimal length scale on the problem, eliminates checkerboard instabilities, and also reduces the number of decision variablesmore » by over 100 × (two dimensions) or 1000 × (three dimensions).« less

Authors:
 [1];  [1];  [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1479078
Report Number(s):
LLNL-JRNL-736779
Journal ID: ISSN 1615-147X; 889675
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Structural and Multidisciplinary Optimization
Additional Journal Information:
Journal Volume: 58; Journal Issue: 3; Journal ID: ISSN 1615-147X
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Topology optimization; Fourier analysis

Citation Formats

White, Daniel A., Stowell, Mark L., and Tortorelli, Daniel A. Toplogical optimization of structures using Fourier representations. United States: N. p., 2018. Web. doi:10.1007/s00158-018-1962-y.
White, Daniel A., Stowell, Mark L., & Tortorelli, Daniel A. Toplogical optimization of structures using Fourier representations. United States. https://doi.org/10.1007/s00158-018-1962-y
White, Daniel A., Stowell, Mark L., and Tortorelli, Daniel A. Mon . "Toplogical optimization of structures using Fourier representations". United States. https://doi.org/10.1007/s00158-018-1962-y. https://www.osti.gov/servlets/purl/1479078.
@article{osti_1479078,
title = {Toplogical optimization of structures using Fourier representations},
author = {White, Daniel A. and Stowell, Mark L. and Tortorelli, Daniel A.},
abstractNote = {The minimization of compliance subject to a mass constraint is the topology optimization design problem of interest. The goal is to determine the optimal configuration of material within an allowed volume. Our approach builds upon the well-known density method in which the decision variable is the material density in every cell in a mesh. In it’s most basic form the density method consists of three steps: 1) the problem is convexified by replacing the integer material indicator function with a volume fraction, 2) the problem is regularized by filtering the volume fraction field to impose a minimum length scale; 3) the filtered volume fraction is penalized to steer the material distribution toward binary designs. The filtering step is used to yield a mesh-independent solution and to eliminate checkerboard instabilities. In image processing terms this is a low-pass filter, and a consequence is that the decision variables are not independent and a change of basis could significantly reduce the dimension of the nonlinear programming problem. Based on this observation, we represent the volume fraction field with a truncated Fourier representation. Furthermore, this imposes a minimal length scale on the problem, eliminates checkerboard instabilities, and also reduces the number of decision variables by over 100 × (two dimensions) or 1000 × (three dimensions).},
doi = {10.1007/s00158-018-1962-y},
journal = {Structural and Multidisciplinary Optimization},
number = 3,
volume = 58,
place = {United States},
year = {Mon Apr 02 00:00:00 EDT 2018},
month = {Mon Apr 02 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 14 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Incorporating topological derivatives into level set methods
journal, February 2004

  • Burger, Martin; Hackl, Benjamin; Ring, Wolfgang
  • Journal of Computational Physics, Vol. 194, Issue 1
  • DOI: 10.1016/j.jcp.2003.09.033

Achieving minimum length scale in topology optimization using nodal design variables and projection functions
journal, August 2004

  • Guest, J. K.; Prévost, J. H.; Belytschko, T.
  • International Journal for Numerical Methods in Engineering, Vol. 61, Issue 2
  • DOI: 10.1002/nme.1064

Topology optimization of structures using meshless density variable approximants: TOPOLOGY OPTIMIZATION USING MESHLESS METHODS
journal, December 2012

  • Luo, Zhen; Zhang, Nong; Wang, Yu
  • International Journal for Numerical Methods in Engineering, Vol. 93, Issue 4
  • DOI: 10.1002/nme.4394

Doing Topology Optimization Explicitly and Geometrically—A New Moving Morphable Components Based Framework
journal, May 2014

  • Guo, Xu; Zhang, Weisheng; Zhong, Wenliang
  • Journal of Applied Mechanics, Vol. 81, Issue 8
  • DOI: 10.1115/1.4027609

A geometry projection method for the topology optimization of plate structures
journal, May 2016

  • Zhang, Shanglong; Norato, Julián A.; Gain, Arun L.
  • Structural and Multidisciplinary Optimization, Vol. 54, Issue 5
  • DOI: 10.1007/s00158-016-1466-6

Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
journal, January 2005


Structural topology optimization based on non-local Shepard interpolation of density field
journal, December 2011

  • Kang, Zhan; Wang, Yiqiang
  • Computer Methods in Applied Mechanics and Engineering, Vol. 200, Issue 49-52
  • DOI: 10.1016/j.cma.2011.09.001

Level-set methods for structural topology optimization: a review
journal, March 2013

  • van Dijk, N. P.; Maute, K.; Langelaar, M.
  • Structural and Multidisciplinary Optimization, Vol. 48, Issue 3
  • DOI: 10.1007/s00158-013-0912-y

Optimal design of elastic plates with a constraint on the slope of the thickness function
journal, January 1983


Adaptive topology optimization with independent error control for separated displacement and density fields
journal, April 2014


On projection methods, convergence and robust formulations in topology optimization
journal, December 2010

  • Wang, Fengwen; Lazarov, Boyan Stefanov; Sigmund, Ole
  • Structural and Multidisciplinary Optimization, Vol. 43, Issue 6
  • DOI: 10.1007/s00158-010-0602-y

Multi-resolution multi-scale topology optimization — a new paradigm
journal, September 2000


An adaptive refinement approach for topology optimization based on separated density field description
journal, February 2013


Optimal shape design as a material distribution problem
journal, December 1989


A topological derivative method for topology optimization
journal, February 2007

  • Norato, Julian A.; Bendsøe, Martin P.; Haber, Robert B.
  • Structural and Multidisciplinary Optimization, Vol. 33, Issue 4-5
  • DOI: 10.1007/s00158-007-0094-6

Filters in topology optimization based on Helmholtz-type differential equations
journal, December 2010

  • Lazarov, B. S.; Sigmund, O.
  • International Journal for Numerical Methods in Engineering, Vol. 86, Issue 6
  • DOI: 10.1002/nme.3072

Heterogeneous material modeling with distance fields
journal, March 2004


Filters in topology optimization
journal, January 2001

  • Bourdin, Blaise
  • International Journal for Numerical Methods in Engineering, Vol. 50, Issue 9
  • DOI: 10.1002/nme.116

Structural Boundary Design via Level Set and Immersed Interface Methods
journal, September 2000

  • Sethian, J. A.; Wiegmann, Andreas
  • Journal of Computational Physics, Vol. 163, Issue 2
  • DOI: 10.1006/jcph.2000.6581

An element removal and reintroduction strategy for the topology optimization of structures and compliant mechanisms
journal, January 2003

  • Bruns, T. E.; Tortorelli, D. A.
  • International Journal for Numerical Methods in Engineering, Vol. 57, Issue 10
  • DOI: 10.1002/nme.783

A geometry projection method for continuum-based topology optimization with discrete elements
journal, August 2015

  • Norato, J. A.; Bell, B. K.; Tortorelli, D. A.
  • Computer Methods in Applied Mechanics and Engineering, Vol. 293
  • DOI: 10.1016/j.cma.2015.05.005

Topology optimization in wavelet space
journal, January 2001

  • Poulsen, Thomas A.
  • International Journal for Numerical Methods in Engineering, Vol. 53, Issue 3
  • DOI: 10.1002/nme.285

Topology optimization in B-spline space
journal, October 2013


Aims, scope, methods, history and unified terminology of computer-aided topology optimization in structural mechanics
journal, April 2001

  • Rozvany, G. I. N.
  • Structural and Multidisciplinary Optimization, Vol. 21, Issue 2
  • DOI: 10.1007/s001580050174

Topology optimization of non-linear elastic structures and compliant mechanisms
journal, March 2001

  • Bruns, Tyler E.; Tortorelli, Daniel A.
  • Computer Methods in Applied Mechanics and Engineering, Vol. 190, Issue 26-27
  • DOI: 10.1016/S0045-7825(00)00278-4

A new approach to variable-topology shape design using a constraint on perimeter
journal, February 1996

  • Haber, R. B.; Jog, C. S.; Bends�e, M. P.
  • Structural Optimization, Vol. 11, Issue 1-2
  • DOI: 10.1007/BF01279647

An optimal design problem with perimeter penalization
journal, March 1993

  • Ambrosio, Luigi; Buttazzo, Giuseppe
  • Calculus of Variations and Partial Differential Equations, Vol. 1, Issue 1
  • DOI: 10.1007/BF02163264

Application of spectral level set methodology in topology optimization
journal, April 2006

  • Gomes, Alexandra A.; Suleman, Afzal
  • Structural and Multidisciplinary Optimization, Vol. 31, Issue 6
  • DOI: 10.1007/s00158-006-0005-2

On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
journal, April 2005


A level set method for structural topology optimization
journal, January 2003

  • Wang, Michael Yu; Wang, Xiaoming; Guo, Dongming
  • Computer Methods in Applied Mechanics and Engineering, Vol. 192, Issue 1-2
  • DOI: 10.1016/S0045-7825(02)00559-5

Reducing dimensionality in topology optimization using adaptive design variable fields: REDUCING DIMENSIONALITY IN TOPOLOGY OPTIMIZATION
journal, August 2009

  • Guest, James K.; Smith Genut, Lindsey C.
  • International Journal for Numerical Methods in Engineering, Vol. 81, Issue 8
  • DOI: 10.1002/nme.2724

Works referencing / citing this record:

A dual mesh method with adaptivity for stress-constrained topology optimization
journal, November 2019

  • White, Daniel A.; Choi, Youngsoo; Kudo, Jun
  • Structural and Multidisciplinary Optimization, Vol. 61, Issue 2
  • DOI: 10.1007/s00158-019-02393-6