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A Generalized SNC-BESO Method for Multi-objective Topology Optimization Read chapter Read first chapter

2019 | OriginalPaper | Chapter

An Evolution-Based High-Cycle Fatigue Constraint in Topology Optimization

Authors : Shyam Suresh, Stefan B. Lindström, Carl-Johan Thore, Bo Torstenfelt, Anders Klarbring

Published in: EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization

Publisher: Springer International Publishing

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Abstract

We develop a topology optimization method including high-cycle fatigue as a constraint. The fatigue model is based on a continuous-time approach, which uses the concept of a moving endurance surface as a function of the stress history and back stress evolution. The development of damage only occurs when the stress state lies outside the endurance surface. Furthermore, an aggregation function, which approximates the maximum fatigue damage, is implemented. As the optimization workflow is sensitivity-based, the fatigue sensitivities are determined using an adjoint sensitivity analysis. The capabilities of the presented approach are tested on numerical models where the problem is to maximize the stiffness subject to high-cycle fatigue constraints.

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previous chapter On the Use of Complex Input Power in Topology Optimization of One-Material Vibrating Structures for Obtaining Displacement Anti-resonances Close to Frequencies of Interest
next chapter Second-Order Inverse Reliability Analysis: A New Methodology to the Treatment of Reliability in Engineering System
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Metadata
Title
An Evolution-Based High-Cycle Fatigue Constraint in Topology Optimization
Authors
Shyam Suresh
Stefan B. Lindström
Carl-Johan Thore
Bo Torstenfelt
Anders Klarbring
Copyright Year
2019
Book
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization

Print ISBN: 978-3-319-97772-0

Electronic ISBN: 978-3-319-97773-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-97773-7_73

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