STUDY OF THE APPLICATION OF 2D-CONVOLUTIONAL NEURAL NETWORK WITH ABSOLUTE CHANGE IN MODE SHAPE CURVATURE DAMAGE INDEX IN DETECTING AND QUANTIFYING DAMAGE ON A BRIDGE

The damage detection system plays a crucial role in ensuring the safety and functionality of civil infrastructure such as bridges. This research investigates the effectiveness of a CNN method combines with the absolute change in mode shape curvature index in detecting and quantifying damage in bridg...

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Bibliographic Details
Main Author:	Xandra, Jevis
Format:	Theses
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/87147
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Institution:	Institut Teknologi Bandung
Language:	Indonesia

id	id-itb.:87147
spelling	id-itb.:871472025-01-14T09:03:44ZSTUDY OF THE APPLICATION OF 2D-CONVOLUTIONAL NEURAL NETWORK WITH ABSOLUTE CHANGE IN MODE SHAPE CURVATURE DAMAGE INDEX IN DETECTING AND QUANTIFYING DAMAGE ON A BRIDGE Xandra, Jevis Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/87147 The damage detection system plays a crucial role in ensuring the safety and functionality of civil infrastructure such as bridges. This research investigates the effectiveness of a CNN method combines with the absolute change in mode shape curvature index in detecting and quantifying damage in bridge structures. The bridge structure is first modeled using the finite element method in the MIDAS Civil software. Suitable modes are then analyszed and selected as damage indicators in the form of the absolute change in mode shape curvature. A Python automation program is designed to define damage scenarios and collect a large amount of mode shape data. Once sufficient data is collected, A CNN is built using these datas, and its performance is numerically and experimentally tested. The research results indicate CNN method is capable of the classifying task with adequate accuracy. text
institution	Institut Teknologi Bandung
building	Institut Teknologi Bandung Library
continent	Asia
country	Indonesia Indonesia
content_provider	Institut Teknologi Bandung
collection	Digital ITB
language	Indonesia
description	The damage detection system plays a crucial role in ensuring the safety and functionality of civil infrastructure such as bridges. This research investigates the effectiveness of a CNN method combines with the absolute change in mode shape curvature index in detecting and quantifying damage in bridge structures. The bridge structure is first modeled using the finite element method in the MIDAS Civil software. Suitable modes are then analyszed and selected as damage indicators in the form of the absolute change in mode shape curvature. A Python automation program is designed to define damage scenarios and collect a large amount of mode shape data. Once sufficient data is collected, A CNN is built using these datas, and its performance is numerically and experimentally tested. The research results indicate CNN method is capable of the classifying task with adequate accuracy.
format	Theses
author	Xandra, Jevis
spellingShingle	Xandra, Jevis STUDY OF THE APPLICATION OF 2D-CONVOLUTIONAL NEURAL NETWORK WITH ABSOLUTE CHANGE IN MODE SHAPE CURVATURE DAMAGE INDEX IN DETECTING AND QUANTIFYING DAMAGE ON A BRIDGE
author_facet	Xandra, Jevis
author_sort	Xandra, Jevis
title	STUDY OF THE APPLICATION OF 2D-CONVOLUTIONAL NEURAL NETWORK WITH ABSOLUTE CHANGE IN MODE SHAPE CURVATURE DAMAGE INDEX IN DETECTING AND QUANTIFYING DAMAGE ON A BRIDGE
title_short	STUDY OF THE APPLICATION OF 2D-CONVOLUTIONAL NEURAL NETWORK WITH ABSOLUTE CHANGE IN MODE SHAPE CURVATURE DAMAGE INDEX IN DETECTING AND QUANTIFYING DAMAGE ON A BRIDGE
title_full	STUDY OF THE APPLICATION OF 2D-CONVOLUTIONAL NEURAL NETWORK WITH ABSOLUTE CHANGE IN MODE SHAPE CURVATURE DAMAGE INDEX IN DETECTING AND QUANTIFYING DAMAGE ON A BRIDGE
title_fullStr	STUDY OF THE APPLICATION OF 2D-CONVOLUTIONAL NEURAL NETWORK WITH ABSOLUTE CHANGE IN MODE SHAPE CURVATURE DAMAGE INDEX IN DETECTING AND QUANTIFYING DAMAGE ON A BRIDGE
title_full_unstemmed	STUDY OF THE APPLICATION OF 2D-CONVOLUTIONAL NEURAL NETWORK WITH ABSOLUTE CHANGE IN MODE SHAPE CURVATURE DAMAGE INDEX IN DETECTING AND QUANTIFYING DAMAGE ON A BRIDGE
title_sort	study of the application of 2d-convolutional neural network with absolute change in mode shape curvature damage index in detecting and quantifying damage on a bridge
url	https://digilib.itb.ac.id/gdl/view/87147
_version_	1822999823413936128

STUDY OF THE APPLICATION OF 2D-CONVOLUTIONAL NEURAL NETWORK WITH ABSOLUTE CHANGE IN MODE SHAPE CURVATURE DAMAGE INDEX IN DETECTING AND QUANTIFYING DAMAGE ON A BRIDGE

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