3D topology optimisation including a movable void

H. Hofmeyer, J.M. Davila Delgado

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Abstract

To find structure concepts for building spatial designs, structural elements can be added to a spatial design, preferably at the boundaries of the explicitly defined spaces, and these elements can subsequently be optimised via topology optimisation, which is here defined as strategy I. Another strategy (II) is to interpret the total volume of the spatial design as structural mass -so without defined spaces-, and to optimise the distribution of this mass via 3D topology optimisation, most often naturally yielding (open) spaces as well. In this paper, strategy II is extended by including a movable void explicitly. The final aim is to compare strategies I and II, however, some issues exist with movable voids within gradient-based topology optimisation, and future research needs to explore non-gradient based methods first.
Original languageEnglish
Title of host publicationProceedings of the 21st International Workshop: Intelligent Computing in Engineering (EG-ICE 2014), July 16-18, 2014 in Cardiff, The United Kingdom
EditorsH. Li, Y. Rafiq, P. Wilde, de
Place of PublicationCardiff, Wales, United Kingdom
PublisherCardiff University School of Engineering
Pages1-10
ISBN (Print)978-0-9930807-0-8
Publication statusPublished - 2014
Eventconference; The 21st International Workshop: Intelligent Computing in Engineering 2014; 2014-07-16; 2014-07-18 -
Duration: 16 Jul 201418 Jul 2014

Conference

Conferenceconference; The 21st International Workshop: Intelligent Computing in Engineering 2014; 2014-07-16; 2014-07-18
Period16/07/1418/07/14
OtherThe 21st International Workshop: Intelligent Computing in Engineering 2014

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  • Cite this

    Hofmeyer, H., & Davila Delgado, J. M. (2014). 3D topology optimisation including a movable void. In H. Li, Y. Rafiq, & P. Wilde, de (Eds.), Proceedings of the 21st International Workshop: Intelligent Computing in Engineering (EG-ICE 2014), July 16-18, 2014 in Cardiff, The United Kingdom (pp. 1-10). Cardiff University School of Engineering.