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Computational Mechanics
Erschienen in: Computational Mechanics 2/2019

05.07.2018 | Original Paper

Structural topology optimization involving bi-modulus materials with asymmetric properties in tension and compression

verfasst von: Zongliang Du, Weisheng Zhang, Yupeng Zhang, Riye Xue, Xu Guo

Erschienen in: Computational Mechanics | Ausgabe 2/2019

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Abstract

Many materials show asymmetric performance under tension and compression and their mechanical property can be well simulated by a so-called bi-modulus type constitutive relation. The underlying non-smoothness nature associated with this kind of constitutive behavior, however, makes it extremely difficult to investigate structural topology optimization problems involving bi-modulus materials. In the present paper, rigorous sensitivity results and efficient solution procedure for topology optimization problems involving a single-phase bi-modulus material are established and generalized to two-phase bi-modulus materials case. The validity and effectiveness of the proposed approach are verified by analytical solutions and numerical results. It is also found that the optimal structural topologies may be highly dependent on the tension to compression modulus ratios and quite different from the one obtained under the assumption of linear elasticity. Besides, the present results can be successfully used for engineering applications such as design of no-tension/no-compression structures and strut-and-tie models.
Vorheriger Artikel Dual-stage uncertainty modeling and evaluation for transient temperature effect on structural vibration property
Nächster Artikel On the accuracy of spectral solvers for micromechanics based fatigue modeling

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Metadaten
Titel
Structural topology optimization involving bi-modulus materials with asymmetric properties in tension and compression
verfasst von
Zongliang Du
Weisheng Zhang
Yupeng Zhang
Riye Xue
Xu Guo
Publikationsdatum
05.07.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Computational Mechanics / Ausgabe 2/2019
Print ISSN: 0178-7675
Elektronische ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-018-1597-2

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