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Adjei, E A (2015) Multi-objective optimisation of building design variables and its impact on office building performance: a case for Ghana, Unpublished PhD Thesis, , University of Nottingham.

Al-Jibouri, S H (1985) Cost models for construction, Unpublished PhD Thesis, , University of Nottingham.

Alzahrani, A (2017) The social value of urban design in mixed use developments in London, Unpublished PhD Thesis, , University of Nottingham.

Awad, A M (2005) The interaction between project finance of a large-scale construction project and macroeconomic indicators and policies, Unpublished PhD Thesis, , University of Nottingham.

Bailey, D (2016) A performance evaluation of mainstream timber framed and traditional masonry housing in the UK, Unpublished PhD Thesis, Department of Architecture and Built Environment, University of Nottingham.

Bordalo Faustino, P (2017) Public procurement award criteria in the EU member states: a comparative study of the discretionary powers of contracting authorities, Unpublished PhD Thesis, School of Law, University of Nottingham.

Bresnen, M J (1986) A study of forms of project organisation and matrix management: case studies from the construction industry, Unpublished PhD Thesis, Business School, University of Nottingham.

Brown, J D (2012) Corporate responsibility in the UK construction industry: a study of activities and reporting, Unpublished PhD Thesis, Department of Civil Engineering, University of Nottingham.

Calvert, G S (2021) A multiple defect approach to bridge life cycle modelling, Unpublished PhD Thesis, , University of Nottingham.

Capra, M (2010) Collaborative mixed reality environments: an application for civil engineering, Unpublished PhD Thesis, Department of Civil Engineering, University of Nottingham.

Chen, C (2019) Heterogeneous integration of BIM with low-cost indoor mobile laser scanning method for building fabric maintenance in China, Unpublished PhD Thesis, Department of Architecture and Built Environment, University of Nottingham.

Colley, J G (2011) An exploration of competitive advantage in the plasterboard industry, Unpublished PhD Thesis, Business School, University of Nottingham.

Dawson, P J (1997) A hierarchical approach to the management of construction project risk, Unpublished PhD Thesis, Department of Civil Engineering, University of Nottingham.

Dickens, G (2002) Teamworking, perceptions and communication within construction projects, Unpublished PhD Thesis, , University of Nottingham.

Fadoul, A (2020) A BIM-based model for constructability assessment of buildings design, Unpublished PhD Thesis, Department of Civil Engineering, University of Nottingham.

Fahdah, I (2008) Distributed IT for integration and communication of engineering information for collaborative building design, Unpublished PhD Thesis, , University of Nottingham.

Hassan, H (2020) Psychosocial risks among migrant workers in the Middle East construction sector, Unpublished PhD Thesis, School of Medicine, University of Nottingham.

Hernandez Delgado, O A (1998) Decision-making for the selection of investment projects, Unpublished PhD Thesis, , The University of Nottingham.

Jaly Zada, A J (2016) Versioning of IFC-based information models for collaborative design, Unpublished PhD Thesis, Department of Civil Engineering, University of Nottingham.

Jones, C (2014) Assessing safety culture and safety performance in a high hazard industry, Unpublished PhD Thesis, School of Medicine, University of Nottingham.

Langdon, M (2021) Towards a shift of values in rail infrastructure project evaluation, Unpublished PhD Thesis, , University of Nottingham.

Long, G (2010) A detailed investigation of the applicability and utility of simulation and gaming in the teaching of civil engineering students, Unpublished PhD Thesis, , University of Nottingham.

Mohammad Shamsudin, N A (2021) Perceptions of critical success factors in the management of dilapidated schools' reconstruction projects using Industrialised Building System method in rural areas in Sarawak, Unpublished PhD Thesis, , University of Nottingham.

Morgan, D C (1986) Site layout and construction planning, Unpublished PhD Thesis, Department of Civil Engineering, University of Nottingham.

Nicholson, M P (1995) Architectural management: From Higgin to Latham, Unpublished PhD Thesis, , University of Nottingham.

Nunes, M C M (1997) Enabling the use of alternative materials in road construction, Unpublished PhD Thesis, , University of Nottingham.

Osorio-Sandoval, C A (2021) BIM-based construction simulation modelling, Unpublished PhD Thesis, , University of Nottingham.

Oti, A H (2014) Building information modelling for sustainability appraisal of conceptual design of steel-framed buildings, Unpublished PhD Thesis, Department of Civil Engineering, University of Nottingham.

Oussadou, A (1988) Residential satisfaction in the new urban housing projects in Algeria: a case study of Ain-Allah, Algiers, Unpublished PhD Thesis, Department of Architecture and Planning, University of Nottingham.

Pachnou, D (2003) The effectiveness of bidder remedies for enforcing the EC public procurement rules: a case study of the public works sector in the United Kingdom and Greece, Unpublished PhD Thesis, School of Law, University of Nottingham.

Pantouvakis, J-P (1990) Declarative - configurable estimating systems for the construction industry, Unpublished PhD Thesis, , University of Nottingham.

Patterson, D E (1997) Earthworks planning for linear construction projects, Unpublished PhD Thesis, , University of Nottingham.

Roshani, D (2005) Integrated collaborative building design using internet technology, Unpublished PhD Thesis, Department of Civil Engineering, University of Nottingham.

Siebert, M (2019) Concrete and the barriers to innovation in UK housebuilding, Unpublished PhD Thesis, , University of Nottingham.

Stiles, S (2019) Investigation of safety leadership within infrastructure engineering construction projects, Unpublished PhD Thesis, , University of Nottingham.

Telles, P (2011) Competitive dialogue in Portugal and Spain, Unpublished PhD Thesis, , University of Nottingham.

Tene Nengou, C B (2019) Framework for the effective implementation of building regulations and policies: The case of Sub-Sahara African countries, Unpublished PhD Thesis, , University of Nottingham.

Wang, D (2013) Exploring factors associated with workers' safety rule violations in the Chinese construction industry: a multimethod investigation, Unpublished PhD Thesis, School of Medicine, University of Nottingham.

Wantanakorn, D (2000) Effects of management errors on construction projects, Unpublished PhD Thesis, , University of Nottingham.

Wei, Y (2019) Data-driven approaches for analysis of building energy consumption and indoor occupancy behavior, Unpublished PhD Thesis, Department of Architecture and Built Environment, University of Nottingham.

Zhang, L (2021) Artificial neural network intelligent technique and multiple nonlinear regression for prediction and optimization of the transmittance of lightpipes and implementation in BIM, Unpublished PhD Thesis, , University of Nottingham.

Zhang, P (2018) Mapping buried utilities in difficult environments, Unpublished PhD Thesis, Department of Civil Engineering, University of Nottingham.

  • Type: Thesis
  • Keywords: accuracy; mapping; measurement; owner; pipeline; utilities
  • ISBN/ISSN:
  • URL: http://eprints.nottingham.ac.uk/51978/
  • Abstract:
    There is a large number of underground utilities buried in urban areas, which is one of the most complex networks in the world. It has been estimated that only 50% of buried utilities are accurately recorded. However, failure to identify accurately the location of existing buried utilities results in numerous practical problems, costs and dangers for utility owners, contractors and road users. The underground utilities positioning accuracy requirement is 100 mm for both the accuracy of positioning system and the accuracy of detection devices. While the accuracy up to 300 mm would be acceptable for many respondents. This aim of this thesis is to research various means of improving the accuracy of positioning systems and the accuracy of detection devices for underground utilities in urban areas. GNSS is mainly used to find and record the position of utilities. However, the performance of GNSS is constrained by an insufficient number of visible satellites, poor satellite geometry and multipath in urban areas. The combination of GNSS systems increases the possible visible satellite number. Moreover, the geometry of satellites will be improved by integrating different GNSS constellations. This thesis evaluates the performance of different GNSS constellations such as GPS, GLONASS, BDS and QZSS and multi-GNSS integration in a controlled environment at UNNC and Ningbo city centre. The results provide evidence that using more than one GNSS constellation will significantly increase the availability of GNSS positions and improve the satellite geometry. There are 75% markers (21 out of 28) on campus of UNNC obtained the positioning error within 10cm either by GPS, BDS or GPS and BDS integration. In Ningbo city centre static test, 47% positions (7 out of 15) obtain ambiguity fixed solutions by GPS and BDS. For the underground utilities detection system, this thesis develops a low-cost IMU and odometer integration system to estimate the position of an approximately 30m long test pipeline. Moreover, a tightly coupled integration between IMU and odometer is developed to decrease error caused by the odometer installation attitude error and scale factor error. Besides this, a novel approach to this application of using a Robust Kalman filter is developed to remove the effect of odometer measurement outliers due to wheel-slip. Compared with the loosely coupled integration method, the use of loosely coupled integration with scale factor correction, tightly coupled integration and tightly coupled with Robust Kalman filter provide a horizontal position improvement of 11%, 41% and 43%, respectively. Similarly, the height accuracy is improved by 14%, 50% and 57% before the wheel-slip. The Wheel-slip leads to wrong odometer measurement that makes the positioning results far away from the truth. After applying Robust Kalman filter, the positioning error is reduced to 0.61 m in the horizontal plane, and 0.11 m in the height. Moreover, if using the forward and backward Kalman filter with known start and end positions, the test pipeline positioning maximum error in height is 4 cm, and the maximum horizontal error is 10 cm.

Zhang, S (2022) The development of a low carbon prefabricated house, Unpublished PhD Thesis, , University of Nottingham.

Zhou, S (2017) Project learning, knowledge transfer and the adoption of innovation in project-based organizations, Unpublished PhD Thesis, Business School China, University of Nottingham.