Reinforced Concrete Bridge Maintenance Requirements Based On Inspection Data


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Title: Reinforced Concrete Bridge Maintenance Requirements Based On Inspection Data


Publication: CIA



Appears on pages(s):


Date: 2/13/2011

Bridges are key elements in any road network and are required to be maintained in a safe condition with the most efficient use of resources. A Bridge Management System is an essential tool to achieve this goal. Deterioration models capable of accurately predicting future condition states of bridge elements deteriorating due to corrosion are essential components of Bridge Management Systems. Probabilistic deterioration models based on the discrete-time Markov chain and state increment method are employed in many Bridge Management Systems used by bridge managers at present. This paper presents a brief introduction to the concept and use of continuous-time Markov chains for concrete bridge management. The development of the transition probability function (Pij) to predict future condition states of concrete bridge elements is discussed in this paper. The transition probability function (Pij) is a function of deterioration parameters ( i λ ) and corrosion initiation time ( o t ). The application of continuous-time Markov chain, estimating deterioration parameters and corrosion initiation time using maximum likelihood method (MLM) for a bridge element is illustrated through an example using VicRoads bridge inspection data. Future condition states of this bridge element are predicted using the estimated deterioration parameters and corrosion initiation time. Sample criteria for selecting bridge elements for maintenance action and its application are also discussed.

Concrete Institute of Australia, International Partner Access.

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