HiTop 2.0: combining topology optimisation with multiple feature size controls and human preferences
Name
HiTop 2.0 combining topology optimisation with multiple feature size controls and human preferences.pdf
Description
Published version
Size
5.05 MB
Format
Adobe PDF
Checksum (MD5)
0cdb097d48111edcf6e2d78c5d6778c9
Author(s)
Schiffer, Gillian
Ha, Dat Quoc
Carstensen, Josephine V
Date Issued
December 31, 2023
Journal
Virtual and Physical Prototyping
Publisher
Taylor & Francis
Citation
Schiffer, G., Ha, D. Q., & Carstensen, J. V. (2023). HiTop 2.0: combining topology optimisation with multiple feature size controls and human preferences. Virtual and Physical Prototyping, 18(1).
Version
Final published version
Abstract
Topology optimisation is a computational design approach that generates high-performing, efficient structures uniquely suited to a design engineer’s goal. However, there exist two major obstacles to the accessibility, or ease of use, of topology optimisation: expensive computational costs and users’ binary decision between personal intuition and the algorithm’s result. Human-informed topology optimisation, or HiTop, presents an alternative approach to topology optimisation when a user lacks access to a high-performance computer or knowledge of code parameters. HiTop 2.0 prompts users to interactively identify a region of interest in the preliminary design and modify the size of the solid and/or void features. The novel contribution of this paper implements multi-phase minimum and maximum solid feature size controls in HiTop 2.0, and demonstrates 2D and 3D benchmark examples, including test cases that show how the user can interactively enhance issues related to eigenvalues, stress, and energy absorption, while solving the minimum compliance problem.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1080/17452759.2023.2268603
