Investigation of mass change detection utilizing the digital image processing method
Currently, to obtain the dynamic properties of structures in structural engineering, experimental relationships, mathematical models and computer software aids are mainly used. These dynamic properties depend on many details about material behavior and the compound of the structures, which could not...
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Iranian Society of Structrual Engineering (ISSE)
2021
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oai:doaj.org-article:992f432e0eb14f35b8bc0378539f802d2021-11-08T15:54:39ZInvestigation of mass change detection utilizing the digital image processing method2476-39772538-261610.22065/jsce.2019.190320.1885https://doaj.org/article/992f432e0eb14f35b8bc0378539f802d2021-05-01T00:00:00Zhttps://www.jsce.ir/article_91104_0af18fa44da4a50b59572213124dce5f.pdfhttps://doaj.org/toc/2476-3977https://doaj.org/toc/2538-2616Currently, to obtain the dynamic properties of structures in structural engineering, experimental relationships, mathematical models and computer software aids are mainly used. These dynamic properties depend on many details about material behavior and the compound of the structures, which could not all be taken into account in analytical models. Therefore, there are always differences between the analytical models and the actual structures. So, seismic tests on structures is the most reliable method for obtaining these properties, so far, various methods have been developed in the world to preform these seismic experiments on the experimental structures such as image processing method. In this paper, the image processing method utilized through the dynamic properties of structures for mass change detection in the structure. For this purpose, a cantilever beam oscillated and the recorded displacements are considered as the inputs of the system identification. By deriving these displacements twice, the acceleration of the structure obtained and by processing these accelerations, natural frequency and shape mode of structure have been extracted and compared with the results of the accelerometer sensors embedded on the structure. Finally, mode shape curvature method utilized and the location of the sensors on the structure has been detected with good accuracy.amin havaranMussa Mahmoudi SahebiIranian Society of Structrual Engineering (ISSE)articleimage processingstructural dynamicmode shape curvature methoddynamic properties of structuresdamage detectionBridge engineeringTG1-470Building constructionTH1-9745FAJournal of Structural and Construction Engineering, Vol 8, Iss 3, Pp 251-265 (2021) |
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image processing structural dynamic mode shape curvature method dynamic properties of structures damage detection Bridge engineering TG1-470 Building construction TH1-9745 |
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image processing structural dynamic mode shape curvature method dynamic properties of structures damage detection Bridge engineering TG1-470 Building construction TH1-9745 amin havaran Mussa Mahmoudi Sahebi Investigation of mass change detection utilizing the digital image processing method |
description |
Currently, to obtain the dynamic properties of structures in structural engineering, experimental relationships, mathematical models and computer software aids are mainly used. These dynamic properties depend on many details about material behavior and the compound of the structures, which could not all be taken into account in analytical models. Therefore, there are always differences between the analytical models and the actual structures. So, seismic tests on structures is the most reliable method for obtaining these properties, so far, various methods have been developed in the world to preform these seismic experiments on the experimental structures such as image processing method. In this paper, the image processing method utilized through the dynamic properties of structures for mass change detection in the structure. For this purpose, a cantilever beam oscillated and the recorded displacements are considered as the inputs of the system identification. By deriving these displacements twice, the acceleration of the structure obtained and by processing these accelerations, natural frequency and shape mode of structure have been extracted and compared with the results of the accelerometer sensors embedded on the structure. Finally, mode shape curvature method utilized and the location of the sensors on the structure has been detected with good accuracy. |
format |
article |
author |
amin havaran Mussa Mahmoudi Sahebi |
author_facet |
amin havaran Mussa Mahmoudi Sahebi |
author_sort |
amin havaran |
title |
Investigation of mass change detection utilizing the digital image processing method |
title_short |
Investigation of mass change detection utilizing the digital image processing method |
title_full |
Investigation of mass change detection utilizing the digital image processing method |
title_fullStr |
Investigation of mass change detection utilizing the digital image processing method |
title_full_unstemmed |
Investigation of mass change detection utilizing the digital image processing method |
title_sort |
investigation of mass change detection utilizing the digital image processing method |
publisher |
Iranian Society of Structrual Engineering (ISSE) |
publishDate |
2021 |
url |
https://doaj.org/article/992f432e0eb14f35b8bc0378539f802d |
work_keys_str_mv |
AT aminhavaran investigationofmasschangedetectionutilizingthedigitalimageprocessingmethod AT mussamahmoudisahebi investigationofmasschangedetectionutilizingthedigitalimageprocessingmethod |
_version_ |
1718441588602961920 |