Abstracts – Browse Results
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Adams, J (2019) Dynamic criticality analysis of industrial assets and system, Unpublished PhD Thesis, Institute of Manufacturing, University of Cambridge.
Al Asali, M W (2020) Craft-inclusive construction: design strategies for thin-tile vaulting, Unpublished PhD Thesis, , University of Cambridge.
Anagnostopoulos, I (2018) Generating as-is BIMs of existing buildings: from planar segments to spaces, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
Ariyachandra, M F (2021) Automating the generation of geometric information models to support digital twinning of existing rail infrastructure, Unpublished PhD Thesis, , University of Cambridge.
Bartlett, H V (2006) Understanding the implementation of sustainability principles in UK educational building projects, Unpublished PhD Thesis, Centre for Sustainable Development, University of Cambridge.
Baumgärtner, C E (2000) Collaboration between engineering consultants and their clients: characteristics of success, Unpublished PhD Thesis, , University of Cambridge.
Busic-Sontic, A (2019) Energy efficiency investments in residential buildings: does personality matter?, Unpublished PhD Thesis, , University of Cambridge.
Jimoh, I (2021) What explains the efficiency of major public project delivery in Nigeria?, Unpublished PhD Thesis, , University of Cambridge.
Jin, Y (2018) Supervised learning for back analysis of excavations in the observational method, Unpublished PhD Thesis, , University of Cambridge.
Konstantinou, E (2018) Vision-based construction worker task productivity monitoring, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
Lloyd, C A (2020) Modular manufacture and construction of small nuclear power generation systems, Unpublished PhD Thesis, , University of Cambridge.
Mándoki, R (2022) The social sustainability of standardisation in the Hungarian residential building sector, Unpublished PhD Thesis, , University of Cambridge.
Montali, J (2019) Digitised engineering knowledge for prefabricated fac?ades, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
O'Brien, S (2022) Critical infrastructure organisation management: an analysis of the transition to the Industry 4.0 era, Unpublished PhD Thesis, , University of Cambridge.
Pelenur, M (2014) Retrofitting the domestic built environment: Investigating household perspectives towards energy efficiency technologies and behaviour, Unpublished PhD Thesis, , University of Cambridge.
Robertson, B (2020) On-site installation flexibility for disruption management in modular off-site construction systems, Unpublished PhD Thesis, , University of Cambridge.
TomasÌŒevicÌ, V (2004) Developing productive relationships in the construction industry, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
Vick, S (2018) Automated spatial progress monitoring for asphalt road construction projects, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
- Type: Thesis
- Keywords: construction site; improvement; monitoring; payment; project control; road construction; simulation
- ISBN/ISSN:
- URL: https://doi.org/10.17863/CAM.26162
- Abstract:
(Embargoed until 1 Jan 2400) Construction progress monitoring allows schedule and/or cost deviations to be identified early enough to effectively implement corrective actions. At least 77% of transportation projects experience cost overruns, and as much as 75% of these overruns have been attributed to “real” construction management factors like progress monitoring. Progress is measured on road construction sites in terms of completion percentages at various activity and work package levels. This percentage is then used to identify schedule deviations and support the earned value analysis often used as the baseline for contractor progress payments. Unfortunately, the current methods for producing these completion percentages are not as correct or time efficient as they should be to enable effective project control. The objective of this research is to develop, test, and validate a novel solution for automatically producing completion percentages and progress status determinations that are more correct and time efficient than those generated in current practice. The proposed solution seeks to automatically detect incremental progress on road design layers in 3D as-built point cloud data generated using unmanned aerial photogrammetry and a novel data simulation approach. A parallel as-planned progress estimate is also automatically prepared using 4D information, and the progress status determinations are made by comparing the two results. This solution was tested on 15 datasets (13 simulated and 2 real-world) representing a variety of road designs and progress conditions. The method achieved an average 95% F1 score in layer detection on the real-world data, and mostly outperformed current practice in correctness. The automated processing of as-built and as-planned data to produce the progress estimate took 12 seconds for the real world data, which was indeed faster than the current practice equivalent. Although the research objectives were met, there remains room for further improvement, particularly in regards to the solution’s robustness to occlusions on the monitored surfaces.
Zomer, T (2021) Institutional pressures and decoupling in projects: the case of BIM Level 2 and coercive isomorphism in the UK's construction sector, Unpublished PhD Thesis, , University of Cambridge.