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Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization...

Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2262587504

Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization framework

About this item

Full title

Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization framework

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Structural and multidisciplinary optimization, 2015-03, Vol.51 (3), p.565-572

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

This paper presents a flexible framework for parallel and easy-to-implement topology optimization using the Portable and Extendable Toolkit for Scientific Computing (PETSc). The presented framework is based on a standardized, and freely available library and in the published form it solves the minimum compliance problem on structured grids, using standard FEM and filtering techniques. For completeness a parallel implementation of the Method of Moving Asymptotes is included as well. The capabilities are exemplified by minimum compliance and homogenization problems. In both cases the unprecedented fine discretization reveals new design features, providing novel insight. The code can be downloaded from
www.topopt.dtu.dk/PETSc
....

Alternative Titles

Full title

Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization framework

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2262587504

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2262587504

Other Identifiers

ISSN

1615-147X

E-ISSN

1615-1488

DOI

10.1007/s00158-014-1157-0

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