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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 2/2014

01.02.2014 | Research Paper

High resolution topology optimization using graphics processing units (GPUs)

verfasst von: Vivien J. Challis, Anthony P. Roberts, Joseph F. Grotowski

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 2/2014

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Abstract

We present a Graphics Processing Unit (GPU) implementation of the level set method for topology optimization. The solution of three-dimensional topology optimization problems with millions of elements becomes computationally tractable with this GPU implementation and NVIDIA supercomputer-grade GPUs. We demonstrate this by solving the inverse homogenization problem for the design of isotropic materials with maximized bulk modulus. We trace the maximum bulk modulus optimization results to very high porosities to demonstrate the detail achievable with a high computational resolution. By utilizing a parallel GPU implementation rather than a sequential CPU implementation, similar increases in tractable computational resolution would be expected for other topology optimization problems.
Vorheriger Artikel Topology optimization of softening structures under displacement constraints as an MPEC
Nächster Artikel Uniform crashworthiness optimization of car body for high-speed trains

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Fußnoten
1
Here we obtain 3D, macroscopically isotropic analogues of the structures first considered by Vigdergauz (1989).
 
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Metadaten
Titel
High resolution topology optimization using graphics processing units (GPUs)
verfasst von
Vivien J. Challis
Anthony P. Roberts
Joseph F. Grotowski
Publikationsdatum
01.02.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 2/2014
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-013-0980-z

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