Abstracts – Browse Results
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Alani, Y (2023) A semantic framework for the life cycle of water assets data exchange, Unpublished PhD Thesis, , Teesside University.
Kalian, A A A (1998) Computer aided manufacturing for prefabricated concrete buildings, Unpublished PhD Thesis, , Teesside University.
Mackenzie, D I (2010) A review of project controls in the UK and methodologies to improve the processes, Unpublished PhD Thesis, School of Science and Engineering, Teesside University.
Patacas, J (2019) A framework and common data environment for the development and management of asset information models, Unpublished PhD Thesis, , Teesside University.
Potseluyko Amobi, L (2021) Improving business and technical operations within timber frame self-build housing sector by applying integrated VR/AR and BIM technologies, Unpublished PhD Thesis, , Teesside University.
Scott, D (1997) An intelligent approach to the engineering management of housing subsidence cases, Unpublished PhD Thesis, , Teesside University.
- Type: Thesis
- Keywords: residential; subsidence; insurance; structural engineer; knowledge-based system
- ISBN/ISSN:
- URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242880
- Abstract:
Over the last twenty years there has been a dramatic rise in subsidence claims for residential buildings. This has led to growing concern amongst insurance companies and the structural engineers who investigate these cases on their behalf. Their attention has begun to focus more on the engineering management of these cases. A review of the mechanism of subsidence damage to residential buildings and existing subsidence management procedures has shown that existing management procedures are often ad-hoc and uncoordinated, have been criticised for being inadequate, and have lead to solutions which have either been inappropriate or have failed to solve the problem. The review concludes that there is major scope for improving the decision-making process, by ensuring that it is based on a sound technical framework. This thesis describes an innovative approach to the engineering management of subsidence cases based on knowledge-based system (KBS) techniques. The Subsidence CAse Management System (SCAMS) is applicable to the multi-task domain and consists of three main components which address important facets of subsidence management. These are the diagnosis of a subsidence problem, the choice of an appropriate course of investigations, and the specification of effective remedial measures. SCAMS was developed using a KBS building shell- Kappa PC. The data structure adopted was object-oriented and incorporates production rules. The knowledge acquisition was based on multiple sources of knowledge using a variety of techniques. The system implementation was designed to result in a user-friendly system, and incorporates a highly graphical interface. Evaluation of the system was undertaken using test cases from industry. The system proved highly effective in all the tests and, in some cases, achieved more accurate results than the human expert. SCAMS represents a significant advance over existing approaches to the engmeenng management of subsidence cases. It provides many benefits to the construction industry including greater consistency in the evaluation of subsidence damage, improved quality of engineering judgement, reduced repair costs and specific guidance to -engineers for individual cases.
Shah, R K (2011) Innovative methodology for location-based scheduling and visualisation of earthworks in road construction projects, Unpublished PhD Thesis, School of Science and Engineering, Teesside University.
Shebob, A (2012) Development of a methodology for analysing and quantifying delay factors affecting construction projects in Libya, Unpublished PhD Thesis, School of Science and Engineering, Teesside University.