Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)

Damage detection of structures is important to ensure the service of civil engineering infrastructures. Many techniques have been developed for damage detection of structures in the literature. In this paper a new technique, a so called MAC-FMSO technique, is developed by using a combination of Moda...

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Main Authors: Frans Richard, Arfiadi Yoyong
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Subjects:
Online Access:https://doi.org/10.1051/matecconf/201713802020
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spelling doaj-a4502ac24f6c469d85d0675ca1de69ee2021-02-02T03:57:47ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011380202010.1051/matecconf/201713802020matecconf_eacef2017_02020Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)Frans RichardArfiadi YoyongDamage detection of structures is important to ensure the service of civil engineering infrastructures. Many techniques have been developed for damage detection of structures in the literature. In this paper a new technique, a so called MAC-FMSO technique, is developed by using a combination of Modal Assurance Criterion (MAC) and Fast Multi Swarm Optimization (FMSO) techniques. By using this method, not only the damage location can be assured, but also the loss of strength and loss of stiffness of structures might be quantified. The first stage is to obtain the damaged member’s location by using second level of damage detection techniques, such as mode shape curvature method, damage locating vector, or strain energy method. After obtaining the damaged member, the MACFMSO technique is used to obtain the loss of stiffness from the candidate of damaged members. The results show that the MAC-FMSO algorithm has the ability to predict the loss of stiffness in the damaged members. In this case, the MAC-FMSO technique can be considered as an efficient and effective tool at the third level of damage detections. This is because this technique successfully measures the loss of strength or loss of stiffness of the damage member or part of structures. At the end of the paper, the MAC-FMSO technique is applied to predict the location of damage and loss of stiffness of three different structures. The first application is a simply supported beam with three different damage scenarios; the second application is a 13-bar plane truss structure with two different scenarios, and the third application is a shear building structure with three different scenarios. The results of simulation show that the MAC-FMSO technique can accurately predict the loss of stiffness of the damaged member as well as the location of the damage.https://doi.org/10.1051/matecconf/201713802020damage identificationloss of stiffnessfast multi swarm optimizationmodal assurance criterionMAC-FMSO
collection DOAJ
language English
format Article
sources DOAJ
author Frans Richard
Arfiadi Yoyong
spellingShingle Frans Richard
Arfiadi Yoyong
Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)
MATEC Web of Conferences
damage identification
loss of stiffness
fast multi swarm optimization
modal assurance criterion
MAC-FMSO
author_facet Frans Richard
Arfiadi Yoyong
author_sort Frans Richard
title Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)
title_short Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)
title_full Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)
title_fullStr Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)
title_full_unstemmed Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)
title_sort structural damage detection using mac-fast multi swarm optimization technique (mac-fmso)
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2017-01-01
description Damage detection of structures is important to ensure the service of civil engineering infrastructures. Many techniques have been developed for damage detection of structures in the literature. In this paper a new technique, a so called MAC-FMSO technique, is developed by using a combination of Modal Assurance Criterion (MAC) and Fast Multi Swarm Optimization (FMSO) techniques. By using this method, not only the damage location can be assured, but also the loss of strength and loss of stiffness of structures might be quantified. The first stage is to obtain the damaged member’s location by using second level of damage detection techniques, such as mode shape curvature method, damage locating vector, or strain energy method. After obtaining the damaged member, the MACFMSO technique is used to obtain the loss of stiffness from the candidate of damaged members. The results show that the MAC-FMSO algorithm has the ability to predict the loss of stiffness in the damaged members. In this case, the MAC-FMSO technique can be considered as an efficient and effective tool at the third level of damage detections. This is because this technique successfully measures the loss of strength or loss of stiffness of the damage member or part of structures. At the end of the paper, the MAC-FMSO technique is applied to predict the location of damage and loss of stiffness of three different structures. The first application is a simply supported beam with three different damage scenarios; the second application is a 13-bar plane truss structure with two different scenarios, and the third application is a shear building structure with three different scenarios. The results of simulation show that the MAC-FMSO technique can accurately predict the loss of stiffness of the damaged member as well as the location of the damage.
topic damage identification
loss of stiffness
fast multi swarm optimization
modal assurance criterion
MAC-FMSO
url https://doi.org/10.1051/matecconf/201713802020
work_keys_str_mv AT fransrichard structuraldamagedetectionusingmacfastmultiswarmoptimizationtechniquemacfmso
AT arfiadiyoyong structuraldamagedetectionusingmacfastmultiswarmoptimizationtechniquemacfmso
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