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Abstract

This study focuses on the application of photogrammetry imaging for structural health monitoring, aiming to assess the condition and deformation of exposed structural areas. Such areas may be subjected to site activities or natural movements, necessitating specialized analysis to evaluate their current performance. Structures that are exposed and located in close proximity to construction works or vibrations are prone to deformation and pose a higher risk of failure.
Traditional monitoring surveys have been used to rectify and supervise the structural integrity of exposed structures, allowing for the detection of movements or tension on a weekly or daily basis. However, manual monitoring methods and traditional procedures have become outdated and challenging to maintain due to the complexity of site conditions over time, difficulties in instrument setups, and susceptibility to human errors and environmental concerns.
To overcome these limitations, the implementation of the latest photogrammetry technology offers a promising alternative. This advanced method can deliver comparable or even superior performance in monitoring the structural movements and deformations of buildings while ensuring the accuracy of digital data.
To demonstrate the effectiveness of the photogrammetry concept, the latest Leica GS18i with tilt compensation and Global Positioning System (GPS) improvements will be employed in the procedure. The Leica GS18i features Visual Positioning technology, enabling remote capture of specific points on the structure using continuous photographic images from various angles. These images will then be compiled into a point cloud, which a computer program will utilize to determine the positions of the points. Additionally, the program can swiftly toggle between different images from distinct times to compare point positions and identify minute alterations.
This stand-alone system alleviates the need for physical and manual monitoring procedures, commonly employed in modern monitoring surveying. It simplifies and streamlines the monitoring process by capturing data without disrupting any ongoing activities or requiring physical intervention.

Course: Civil Engineering - MSc - C0618

Date Deposited: 2023-11-07

URI/permalink: https://library.port.ac.uk/dissert/dis14269.html