• Topology optimization using PE...

Treffer: Topology optimization using PETSc: a Python wrapper and extended functionality

Title:
Topology optimization using PETSc: a Python wrapper and extended functionality
Authors:
Smit, Thijs, Aage, Niels, Ferguson, Stephen J., id_orcid:0 000-0003-0650-5889, Helgason, Benedikt
Source:
Structural and Multidisciplinary Optimization, 64 (4)
Publisher Information:
Springer
Publication Year:
2021
Collection:
ETH Zürich Research Collection
Subject Terms:
Topology optimization, Parallel computing, Large scale, PETSc, Python C-Extension module, Python wrapper, 3D printing, Porous structures, Robust design, Infill
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/application/pdf
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/wos/000695787200004; http://hdl.handle.net/20.500.11850/506491
DOI:
10.3929/ethz-b-000506491
Availability:
https://hdl.handle.net/20.500.11850/506491
https://doi.org/10.3929/ethz-b-000506491
Rights:
info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ ; Creative Commons Attribution 4.0 International
Accession Number:
edsbas.4F413A1C
Database:
BASE

Weitere Informationen

This paper presents a Python wrapper and extended functionality of the parallel topology optimization framework introduced by Aage et al. (Topology optimization using PETSc: an easy-to-use, fully parallel, open source topology optimization framework. Struct Multidiscip Optim 51(3):565-572, 2015). The Python interface, which simplifies the problem definition, is intended to expand the potential user base and to ease the use of large-scale topology optimization for educational purposes. The functionality of the topology optimization framework is extended to include passive domains and local volume constraints among others, which contributes to its usability to real-world design applications. The functionality is demonstrated via the cantilever beam, bracket and torsion ball examples. Several tests are provided which can be used to verify the proper installation and for evaluating the performance of the user's system setup. The open-source code is available at https:// github. com/thsmit/, repository TopOpt_in_PETSc_wrapped_in_Python. ; ISSN:1615-147X ; ISSN:1615-1488