Optimisation and forecasting of building maintenance and renewals for various types of local government buildings

Kumar, D 2013, Optimisation and forecasting of building maintenance and renewals for various types of local government buildings, Masters by Research, Civil, Environmental and Chemical Engineering, RMIT University.


Document type: Thesis
Collection: Theses

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Title Optimisation and forecasting of building maintenance and renewals for various types of local government buildings
Author(s) Kumar, D
Year 2013
Abstract Worldwide annual expenditure for the maintenance and rehabilitation of constructed building components is rising, whilst ageing building components continue to fail at an ever-increasing rate. Because of increasing concerns over the levels of expenditure required to maintain building stock, asset management practices are gaining increasing attention. The long-term cost implications of poor asset management practices are significant, especially for major building owners or local government authorities, where the replacement cycle will see increasing need for life-care maintenance. The prediction of the performance or service life of a building system and its components is a very complex problem. The factor method on the other hand is fairly simple, but the result is only a single figure for service life and does not take into account at all the variability of the process involved. A lot of work has been carried out in the area of service life prediction, but there is very little that can be readily used by asset managers. A simple model is developed to cater for all types of local government buildings. This model considers the usage of the building as well as material and construction parameters through a rule based approach. A total of 690 Council buildings were surveyed in the City of Greater Geelong. A grouping of buildings has been prepared which reflects the function and use of buildings for asset management and planning purposes. This model will allow asset managers to be more proactive in their maintenance management activities. They will be able to select the most cost effective maintenance strategy for each individual component. They will be able to monitor more constantly the performance of their building assets, and will be better equipped to allocate scarce resources to areas of significant need. The selection of capital planning projects will be based on a rational system of prioritisation. These projects can be easily identified long before the failure of the building component. The performance of this model is tested on twelve year data and this will facilitate the prediction of renewal costs for various types of council buildings.
Degree Masters by Research
Institution RMIT University
School, Department or Centre Civil, Environmental and Chemical Engineering
Keyword(s) Asset Management
Service life
Life cycle
Council
buildings
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Created: Mon, 23 Dec 2013, 08:28:33 EST by Brett Fenton
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