Detection of structural deformation from 3D point clouds

The observation and detection of movements of man-made structures is a noble task in engineering survey, for it is geared towards preservation of life and property. Many different methods exist for detection and monitoring deformations. These methods have served humanity very well over the years. Ho...

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Main Author:	Chivatsi, Jonathan Nyoka
Format:	Thesis
Language:	English
Published:	2015
Subjects:	G70.212-70.215 Geographic information system
Online Access:	http://eprints.utm.my/id/eprint/53684/25/JonathanNyokaChivatsiMFGHT2015.pdf
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id	my-utm-ep.53684
record_format	uketd_dc
spelling	my-utm-ep.536842020-09-01T03:34:33Z Detection of structural deformation from 3D point clouds 2015-01 Chivatsi, Jonathan Nyoka G70.212-70.215 Geographic information system The observation and detection of movements of man-made structures is a noble task in engineering survey, for it is geared towards preservation of life and property. Many different methods exist for detection and monitoring deformations. These methods have served humanity very well over the years. However, most of these methods are point based. Terrestrial laser scanning allows for the monitoring of the whole surface of a structure. All these methods require data to be compared between two or more campaigns. For the data set to be comparable, it needs to be transformed not only into the same coordinate system, but also into the same computational base. An analysis of the stability of reference points by global congruency testing, coupled with the S-transformation enable this to be achieved. In this thesis, the Total station and terrestrial laser scanner were used to detect deformation of a building. The global congruency test was used to detect deformations between two epochs, followed by a single-point analysis which is used in the localization of deformations. After determination of stable scan stations, point cloud data from two epochs was transformed into the same computational base. This enabled point to surface and surface to surface deformations analysis to be undertaken. 2015-01 Thesis http://eprints.utm.my/id/eprint/53684/ http://eprints.utm.my/id/eprint/53684/25/JonathanNyokaChivatsiMFGHT2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85582 masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.212-70.215 Geographic information system
spellingShingle	G70.212-70.215 Geographic information system Chivatsi, Jonathan Nyoka Detection of structural deformation from 3D point clouds
description	The observation and detection of movements of man-made structures is a noble task in engineering survey, for it is geared towards preservation of life and property. Many different methods exist for detection and monitoring deformations. These methods have served humanity very well over the years. However, most of these methods are point based. Terrestrial laser scanning allows for the monitoring of the whole surface of a structure. All these methods require data to be compared between two or more campaigns. For the data set to be comparable, it needs to be transformed not only into the same coordinate system, but also into the same computational base. An analysis of the stability of reference points by global congruency testing, coupled with the S-transformation enable this to be achieved. In this thesis, the Total station and terrestrial laser scanner were used to detect deformation of a building. The global congruency test was used to detect deformations between two epochs, followed by a single-point analysis which is used in the localization of deformations. After determination of stable scan stations, point cloud data from two epochs was transformed into the same computational base. This enabled point to surface and surface to surface deformations analysis to be undertaken.
format	Thesis
qualification_level	Master's degree
author	Chivatsi, Jonathan Nyoka
author_facet	Chivatsi, Jonathan Nyoka
author_sort	Chivatsi, Jonathan Nyoka
title	Detection of structural deformation from 3D point clouds
title_short	Detection of structural deformation from 3D point clouds
title_full	Detection of structural deformation from 3D point clouds
title_fullStr	Detection of structural deformation from 3D point clouds
title_full_unstemmed	Detection of structural deformation from 3D point clouds
title_sort	detection of structural deformation from 3d point clouds
granting_institution	Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department	Faculty of Geoinformation and Real Estate
publishDate	2015
url	http://eprints.utm.my/id/eprint/53684/25/JonathanNyokaChivatsiMFGHT2015.pdf
_version_	1747817611962351616

Detection of structural deformation from 3D point clouds

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