The Use of Stochastic Processes in Bridge Maintenance Optimization
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Keywords:
bridge monitoring, sensing, environmental
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Abstract
We introduce an approach for modelling the structural deterioration of components of bridges for maintenance optimization
purposes. The Markov chain model is found in the maintenance and repair problems since the early 60's, is introduced to the
maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. We
highlight the shortfalls of the Markov model for bridge lifetime assessment and promote the use of stochastic processes.
purposes. The Markov chain model is found in the maintenance and repair problems since the early 60's, is introduced to the
maintenance of road infrastructure in the 1980's, and is made to drive the current bridge maintenance optimization systems. While this model results into solvable programming problems and provides a solution, there are a number of criticisms associated with it. We
highlight the shortfalls of the Markov model for bridge lifetime assessment and promote the use of stochastic processes.
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Communication and Sensor Networks
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