Graduate Thesis Or Dissertation
 

Progress Monitoring and Quality Assessment/Quality Control of Construction Projects Using Lidar and BIM

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/m326m7169

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  • The construction industry is a key contributor to the Gross Domestic Product (GDP) of many countries around the world and is valued at more than $10 trillion globally. Schedule, cost and quality are the main performance measures of construction projects. The primary goal for project stakeholders in the construction industry is to ensure that a project is delivered on time and on budget, while meeting the project specific quality standards. However, cost and schedule overruns, and rework have become the costly standard for most construction projects. In particular, transportation construction projects are very sensitive to cost and schedule overruns due to the magnitude of risk and uncertainty involved. The inaccuracies, inconsistencies, and delays associated with manual collection of project progress data further contribute to the inefficient tracking of resources, activities, and cost, consequently causing issues to be overlooked and leaving them unresolved. Another major issue in the construction industry is related to the assessment of the quality of work in a timely fashion in order to avoid rework. Focusing on measuring the quality of concrete slabs, several concrete surface waviness assessment methods have been developed to overcome the disadvantages of one assessment method over the other. Floor surface waviness assessment over multiple one-dimensional (1D)-survey lines may not accurately reflect the actual condition or waviness of an entire floor. Thus, it can be concluded that the current practices for performing project quality control and progress tracking are prone to errors, labor-intensive, and time-consuming, and there is a need to develop novel, technology supplemented methodologies to improve current project quality control and progress tracking practices. This dissertation proposes two technology-supplemented frameworks for project progress tracking and dimensional quality control, and is comprised of three manuscripts. The first manuscript presents a framework that uses mobile lidar data and four dimensional- (4D-) design models for tracking the progress of bridge construction projects. The framework is capable of determining the completion of individual bridge elements in an accurate and efficient manner, and the progress information is reported as Percentage of Completion (POC). The second manuscript presents a framework that enables assessment of a concrete surface in two-dimensional (2D) domain using the synergy between Terrestrial Laser Scanning (TLS) and Continuous Wavelet Transform (CWT). 2D CWT analysis provides information not only about the periods of the surface undulations, but also the location of such undulations. The third manuscript presents a sensitivity analysis of the impact of various TLS point cloud scanning resolutions on surface waviness results. Furthermore, the surface waviness results obtained using TLS and Unmanned Aerial Vehicles (UAV)-based laser scanning are compared and analyzed.
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  • Ongoing Research
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  • 2019-06-12 to 2021-07-13

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