A modified harmony search approach on structural identification and damage detection of wind turbine supporting structures

Although numerous structural identification methods have been proposed, most of them are problem dependent, rely on classical approaches based on mathematical concepts, and/or are based on changes in modal characteristics that are not sensitive to damage. This study aims to utilize a metaheuristic m...

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Main Authors: Mahmoud M. Jahjouh, Udo Nackenhorst
Format: Article
Language:English
Published: JVE International 2016-02-01
Series:Journal of Vibroengineering
Subjects:
Online Access:https://www.jvejournals.com/article/16694
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spelling doaj-d200ed4e28874242b932d6feee6eec9e2020-11-25T02:33:53ZengJVE InternationalJournal of Vibroengineering1392-87162538-84602016-02-0118110311816694A modified harmony search approach on structural identification and damage detection of wind turbine supporting structuresMahmoud M. Jahjouh0Udo Nackenhorst1Institute of Mechanics and Computational Mechanics (IBNM), Leibniz Universität Hannover, Hanover, GermanyInstitute of Mechanics and Computational Mechanics (IBNM), Leibniz Universität Hannover, Hanover, GermanyAlthough numerous structural identification methods have been proposed, most of them are problem dependent, rely on classical approaches based on mathematical concepts, and/or are based on changes in modal characteristics that are not sensitive to damage. This study aims to utilize a metaheuristic modified optimization algorithm for the identification of damage in a numerically modeled 5-MW reference turbine. A variety of damage severities, sensor numbers and noise percentages were investigated. The results show that the presented algorithm’s identification accuracy is not affected by the magnitude of damage whereas sensor configuration and noise severity do have a significant effect. The satisfying results encourage considering its application on in-situ structural identification tasks based on experimental measurements.https://www.jvejournals.com/article/16694harmony searchoptimizationidentificationdamage detectionwind turbine
collection DOAJ
language English
format Article
sources DOAJ
author Mahmoud M. Jahjouh
Udo Nackenhorst
spellingShingle Mahmoud M. Jahjouh
Udo Nackenhorst
A modified harmony search approach on structural identification and damage detection of wind turbine supporting structures
Journal of Vibroengineering
harmony search
optimization
identification
damage detection
wind turbine
author_facet Mahmoud M. Jahjouh
Udo Nackenhorst
author_sort Mahmoud M. Jahjouh
title A modified harmony search approach on structural identification and damage detection of wind turbine supporting structures
title_short A modified harmony search approach on structural identification and damage detection of wind turbine supporting structures
title_full A modified harmony search approach on structural identification and damage detection of wind turbine supporting structures
title_fullStr A modified harmony search approach on structural identification and damage detection of wind turbine supporting structures
title_full_unstemmed A modified harmony search approach on structural identification and damage detection of wind turbine supporting structures
title_sort modified harmony search approach on structural identification and damage detection of wind turbine supporting structures
publisher JVE International
series Journal of Vibroengineering
issn 1392-8716
2538-8460
publishDate 2016-02-01
description Although numerous structural identification methods have been proposed, most of them are problem dependent, rely on classical approaches based on mathematical concepts, and/or are based on changes in modal characteristics that are not sensitive to damage. This study aims to utilize a metaheuristic modified optimization algorithm for the identification of damage in a numerically modeled 5-MW reference turbine. A variety of damage severities, sensor numbers and noise percentages were investigated. The results show that the presented algorithm’s identification accuracy is not affected by the magnitude of damage whereas sensor configuration and noise severity do have a significant effect. The satisfying results encourage considering its application on in-situ structural identification tasks based on experimental measurements.
topic harmony search
optimization
identification
damage detection
wind turbine
url https://www.jvejournals.com/article/16694
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