Skip to main content

Contributions to Handle Maximum Size Constraints in Density-Based Topology Optimization

  • Conference paper
  • First Online:
Advances in Structural and Multidisciplinary Optimization (WCSMO 2017)

Abstract

The maximum size formulation in topology optimization restricts the amount of material within a test region in each point in the design domain, leading to a highly constrained problem. In this work the local constraints are aggregated into a single one by p-mean and p-norm functions, classically used for stress constraints. Moreover, a new test region is investigated which is a ring instead of the classical circle around the element. These developments were implemented for compliance minimization with the MBB beam test case. Results indicate that p-mean performs better in the maximum size field than p-norm, because it underestimates the most violated constraint. This gives some relaxation to the problem that allows stiffer connections. Similar effect has been observed for the ring-shaped region which reduces the amount of holes that are introduced in the structure, specially in the connection of solid members. In addition, it is shown that the maximum size formulation allows the definition of the minimum gap between solid members which gives designers more control over the geometry. The developments have been illustrated and validated with compliance minimization tests of 2D-domains.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 509.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 649.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 649.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Jansen, M., Lombaert, G., Schevenels, M., Sigmund, O.: Topology optimization of fail-safe structures using a simplified local damage model. Struct. Multi. Optim. 49, 657–666 (2014)

    Article  MathSciNet  Google Scholar 

  2. Guest, J.K.: Imposing maximum length scale in topology optimization. Struct. Multi. Optim. 37, 463–473 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  3. Zhang, W., Zhong, W., Guo, X.: An explicit length scale control approach in SIMP-based topology optimization. Comput. Methods Appl. Mech. Eng. 282, 71–86 (2014)

    Article  MathSciNet  Google Scholar 

  4. Lazarov, B., Wang, F.: Maximum length scale in density based topology optimization. Comput. Methods Appl. Mech. Eng. 318, 826–844 (2017)

    Article  MathSciNet  Google Scholar 

  5. Duysinx, P., Sigmund, O.: New developments in handling stress constraints in optimal material distribution. In: 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, St. Louis, MO, AIAA-98-4906, pp. 1501–1509 (1998)

    Google Scholar 

  6. Talischi, C., Paulino, G., Pereira, A., Menezes, I.F.M.: PolyTop: A Matlab implementation of a general topology optimization framework using unstructured polygonal finite element meshes. Struct. Multi. Optim. 45, 329–357 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  7. Andreassen, E., Clausen, A., Schevenels, M., Lazarov, B., Sigmund, O.: Efficient topology optimization in MATLAB using 88 lines of code. Struct. Multi. Optim. 43, 1–16 (2011)

    Article  MATH  Google Scholar 

  8. Bens\(\phi \)e, M.: Optimal shape design as a material distribution problem. Struct. Optim. 1, 193–202 (1989)

    Google Scholar 

  9. Svanberg, K.: The method of moving asymptotes - a new method for structural optimization. Int. J. Numer. Methods Eng. 24, 359–373 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  10. Kacprzyk, J., Pedrycz, W.: Springer Handbook of Computational Intelligence. Springer, Heidelberg (2015)

    Book  MATH  Google Scholar 

  11. Le, C., Norato, J., Bruns, T., Ha, C., Tortorelli, D.: Stress-based topology optimization for continua. Struct. Multi. Optim. 41, 605–620 (2010)

    Article  Google Scholar 

  12. Sigmund, O.: Morphology-based black and white filters for topology optimization. Struct. Multi. Optim. 33, 401–424 (2007)

    Article  Google Scholar 

Download references

Acknowledgement

This work was supported by the AERO+ project funded by the Plan Marchal and the Wallon Region of Belgium.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eduardo Fernández .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fernández, E., Collet, M., Bauduin, S., Lemaire, E., Duysinx, P. (2018). Contributions to Handle Maximum Size Constraints in Density-Based Topology Optimization. In: Schumacher, A., Vietor, T., Fiebig, S., Bletzinger, KU., Maute, K. (eds) Advances in Structural and Multidisciplinary Optimization. WCSMO 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-67988-4_80

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67988-4_80

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67987-7

  • Online ISBN: 978-3-319-67988-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics