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Erschienen in:
A Generalized SNC-BESO Method for Multi-objective Topology Optimization Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

The Performance of a Modified Harmony Search Algorithm in the Structural Identification and Damage Detection of a Scaled Offshore Wind Turbine Laboratory Model

verfasst von : Mahmoud Jahjouh, Raimund Rolfes

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

Verlag: Springer International Publishing

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Abstract

Offshore wind turbines are subjected to harsh environmental and operational conditions that affect their dynamic properties and cause damage. Visual checks are, for economic reasons, kept as low as possible, thus making the ability to detect damage via transmitted measurements a vital issue.
Identifying a structure is considered in essence an inverse problem which can be solved using model-updating techniques, which treat the identification problem as an optimization problem that are well-solved using meta-heuristic optimization schemes.
The objective of this study is to investigate the performance of the harmony search algorithm, both basic and modified, in identifying a scaled laboratory model of an offshore wind turbine supporting structure and detect the effects of damage and marine growth. The laboratory model is tested in a wave basin and is subjected to a variety of damage and marine growth levels.

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Vorheriges Kapitel Multi-objective Control Problems for Optimal Isolation of Elastic Structures from Vibration
Nächstes Kapitel Adaptive Strategies for Fail-Safe Topology Optimization
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Metadaten
Titel
The Performance of a Modified Harmony Search Algorithm in the Structural Identification and Damage Detection of a Scaled Offshore Wind Turbine Laboratory Model
verfasst von
Mahmoud Jahjouh
Raimund Rolfes
Copyright-Jahr
2019
Buch
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-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-97773-7_18

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