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Structural and Multidisciplinary Optimization

Erschienen in:

10.11.2016 | RESEARCH PAPER

Optimal topology design for stress-isolation of soft hyperelastic composite structures under imposed boundary displacements

verfasst von: Yangjun Luo, Ming Li, Zhan Kang

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 5/2017

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Abstract

Soft hyperelastic composite structures that integrate soft hyperelastic material and linear elastic hard material can undergo large deformations while isolating high strain in specified locations to avoid failure. This paper presents an effective topology optimization-based methodology for seeking the optimal united layout of hyperelastic composite structures with prescribed boundary displacements and stress constraints. The optimization problem is modeled based on the power-law interpolation scheme for two candidate materials (one is soft hyperelastic material and the other is linear elastic material). The ɛ-relaxation technique and the enhanced aggregation method are employed to avoid stress singularity and improve the computational efficiency. Then, the topology optimization problem can be readily solved by a gradient-based mathematical programming algorithm using the adjoint variable sensitivity information. Numerical examples are given to show the importance of considering prescribed boundary displacements in the design of hyperelastic composite structures. Moreover, numerical solutions demonstrate the validity of the present model for the optimal topology design with a stress-isolated region.

Vorheriger Artikel An efficient estimation of probability of first-passage in a linear system

Nächster Artikel Topology optimization under thermo-elastic buckling

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Titel: Optimal topology design for stress-isolation of soft hyperelastic composite structures under imposed boundary displacements
verfasst von: Yangjun Luo
Ming Li
Zhan Kang
Publikationsdatum: 10.11.2016
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 5/2017
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-016-1610-3

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