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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

Topology Optimization of Viscoelastic Materials for Maximizing Damping and Natural Frequency of Macrostructures

verfasst von : Qiming Liu, Xiaodong Huang

Erschienen in: Advances in Structural and Multidisciplinary Optimization

Verlag: Springer International Publishing

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Abstract

The topology optimization algorithm of viscoelastic material microstructure based on bi-directional evolutionary structural optimization (BESO) method is proposed for macroscopic damping characteristics of the structures. The optimization aims to obtain the optimal topologies of the material microstructures within given volume fraction so that the resulting structure has optimal damping characteristics. The design concept of this scheme is essentially a two-scale design which considers the effective properties of material microstructures and macroscopic performance. Viscoelastic material is used for the damping of the macrostructure and the frequency constraint is also applied so that the resulting macrostructure has the best damping performance with prescribed natural frequencies. The microstructures of the material are represented by periodic unit cells (PUCs) and the effective properties of the material microstructures are homogenized and integrated into the finite element analysis of the macroscopic structures. The sensitivity analysis is conducted for iteratively updating the topologies of material microstructures. Numerical examples are presented to demonstrate the effectiveness of the proposed optimization algorithm.

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Vorheriges Kapitel Two-Scale Concurrent Topology Optimization with Multiple Micro Materials Based on Principal Stress Direction
Nächstes Kapitel Design of Adsorbed Natural Gas Tanks with Metal Inclusions by Topology Optimisation
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Metadaten
Titel
Topology Optimization of Viscoelastic Materials for Maximizing Damping and Natural Frequency of Macrostructures
verfasst von
Qiming Liu
Xiaodong Huang
Copyright-Jahr
2018
Buch
Advances in Structural and Multidisciplinary Optimization

Print ISBN: 978-3-319-67987-7

Electronic ISBN: 978-3-319-67988-4

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-67988-4_131

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