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Adams, J (2019) Dynamic criticality analysis of industrial assets and system, Unpublished PhD Thesis, Institute of Manufacturing, University of Cambridge.
Al Asali, M W (2020) Craft-inclusive construction: design strategies for thin-tile vaulting, Unpublished PhD Thesis, , University of Cambridge.
Anagnostopoulos, I (2018) Generating as-is BIMs of existing buildings: from planar segments to spaces, Unpublished PhD Thesis, Department of Engineering, University of Cambridge.
- Type: Thesis
- Keywords: accuracy; building information model; maintenance; renovation; slabs; variations
- ISBN/ISSN:
- URL: https://doi.org/10.17863/CAM.29062
- Abstract:
(Embargoed until 1 January 2400) As-Is Building Information Models aid in the management, maintenance and renovation of existing buildings. However, most existing buildings do not have an accurate geometric depiction of their As-Is conditions. The process of generating As-Is models of existing structures involves practitioners, who manually convert Point Cloud Data (PCD) into semantically meaningful 3D models. This process requires a significant amount of manual effort and time. Previous research has been able to model objects by segmenting the point clouds into planes and classifying each one separately into classes, such as walls, floors and ceilings; this is insufficient for modelling, as BIM objects are comprised of multiple planes that form volumetric objects. This thesis introduces a novel method that focuses on the geometric creation of As-Is BIMs with enriched information. It tackles the problem by detecting objects, modelling them and enriching the model with spaces and object adjacencies from PCD. The first step of the proposed method detects objects by exploiting the relationships the segments should satisfy to be grouped into one object. It further proposes a method for detecting slabs with variations in height by finding local maxima in the point density. The second step models the geometry of walls and finally enriches the model with closed spaces encoded in the Industry Foundation Classes (IFC) standard. The method uses the point cloud density of detected walls to determine their width by projecting the wall into two directions and finding the edges with the highest density. It identifies adjacent walls by finding gaps or intersections between walls and exploits walls adjacency for correcting their boundaries, creating an accurate 3D geometry of the model. Finally, the method detects closed spaces by using a shortest-path algorithm. The method was tested on three original PCD which represent office floors. The method detects objects of class walls, floors and ceilings in PCD with an accuracy of approximately 96%. The precision and recall for the room detection were found to be 100%.
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.
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.