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Life Cycle Costing Based Capital Asset Planning Method for Bridge Infrastructure
Municipal infrastructure is a major component of the socio-economic environment of a region. Hence, sustainable infrastructure management is a challenge for any municipality. Canadian municipalities have realized the importance of developing strategies to manage the infrastructure assets that they own and operate proactively. Predicting and budgeting future maintenance of the aforementioned infrastructure is a key responsibility of a municipal infrastructure manager. Traditionally, preventive approaches have been used for infrastructure maintenance planning. Thus, the objective of this paper is to develop a predictive budget planning method for bridge infrastructure. Firstly, deterioration matrices and the impact of maintenance methods on the physical condition were determined from past condition assessments. Secondly, the Markov chain principle-based algorithm was applied to simulate the condition of the bridge over a 20-year period. Lastly, the above method was used to determine the maintenance strategy at the lowest life cycle cost. This information was used for capital planning by forecasting future budget requirements. The proposed method provides an efficient way of selecting appropriate maintenance alternatives based on the desired performance level and is able to generate budgets for years to come. This algorithm offers municipal managers an opportunity to analyze uncertainties, generate impact costs over time, and, ultimately, create capital budgets for infrastructure assets.
Life Cycle Costing Based Capital Asset Planning Method for Bridge Infrastructure
Municipal infrastructure is a major component of the socio-economic environment of a region. Hence, sustainable infrastructure management is a challenge for any municipality. Canadian municipalities have realized the importance of developing strategies to manage the infrastructure assets that they own and operate proactively. Predicting and budgeting future maintenance of the aforementioned infrastructure is a key responsibility of a municipal infrastructure manager. Traditionally, preventive approaches have been used for infrastructure maintenance planning. Thus, the objective of this paper is to develop a predictive budget planning method for bridge infrastructure. Firstly, deterioration matrices and the impact of maintenance methods on the physical condition were determined from past condition assessments. Secondly, the Markov chain principle-based algorithm was applied to simulate the condition of the bridge over a 20-year period. Lastly, the above method was used to determine the maintenance strategy at the lowest life cycle cost. This information was used for capital planning by forecasting future budget requirements. The proposed method provides an efficient way of selecting appropriate maintenance alternatives based on the desired performance level and is able to generate budgets for years to come. This algorithm offers municipal managers an opportunity to analyze uncertainties, generate impact costs over time, and, ultimately, create capital budgets for infrastructure assets.
Life Cycle Costing Based Capital Asset Planning Method for Bridge Infrastructure
Lecture Notes in Civil Engineering
Walbridge, Scott (editor) / Nik-Bakht, Mazdak (editor) / Ng, Kelvin Tsun Wai (editor) / Shome, Manas (editor) / Alam, M. Shahria (editor) / el Damatty, Ashraf (editor) / Lovegrove, Gordon (editor) / Ngabire, S. (author) / Botham, A. (author) / Ruparathna, R. (author)
Canadian Society of Civil Engineering Annual Conference ; 2021
Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 ; Chapter: 20 ; 243-254
2022-06-01
12 pages
Article/Chapter (Book)
Electronic Resource
English
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