Ground-Based Deformation Monitoring
| atmire.migration.oldid | 1800 | |
| dc.contributor.advisor | Teskey, W.F. | |
| dc.contributor.author | Ebeling, Axel | |
| dc.date.accessioned | 2014-01-20T20:06:18Z | |
| dc.date.available | 2014-03-15T07:00:18Z | |
| dc.date.issued | 2014-01-20 | |
| dc.date.submitted | 2014 | en |
| dc.description.abstract | The observation and analysis of movements of large structures, man-made as well as natural ones, such as high-rise buildings, dams or rock slides and earthquake zones, is a highly responsible task in engineering. Deformation monitoring is essential to public safety by reducing the risk of structural failure. It is also an important aid in the understanding of the behaviour of certain natural phenomena like glacial drift. The procedure for a deformation analysis can be divided into three steps: a global congruency test to determine in which epochs deformations occur, the localization of the deformed points and the determination of deformations. The single-point analysis typically used in the localization step, requires the two epochs under comparison to refer to the same datum. If this is not the case an S-transformation to a common datum has to be carried out. This is only possible however, if both epochs share the same reference frame, and particularly, the same network scale. In this dissertation a generalized model for a congruence analysis is proposed which allows the coordinates to refer to di fferent reference frames. This model utilizes a combinatorial search for the largest similar point group based on the angular di fferences between epochs. This is combined with a 3D Helmert transformation that allows to derive deformations directly from the adjusted coordinates of each epoch and their, typically singular, cofactor matrices, independent of the coordinate system they are given in. A set of computer-based simulations are carried out to evaluate the performance of the proposed algorithm. The computer simulations reveal that the proposed algorithm can reliably locate the largest similar point group between epochs. The transformation parameters as well as the deformations are accurately recovered. Finally, a real-world application, the Frank Slide /Turtle Mountain, is presented where the proposed methodology was applied. | en_US |
| dc.identifier.citation | Ebeling, A. (2014). Ground-Based Deformation Monitoring (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26325 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/26325 | |
| dc.identifier.uri | http://hdl.handle.net/11023/1273 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Engineering | |
| dc.subject.classification | deformation monitoring | en_US |
| dc.title | Ground-Based Deformation Monitoring | |
| dc.type | doctoral thesis | |
| thesis.degree.discipline | Geomatics Engineering | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Doctor of Philosophy (PhD) | |
| ucalgary.item.requestcopy | true |