A probabilistic methodology for bridge deck condition assessment

Condition assessment is an essential step in bridge management. Various techniques are currently used during the inspection of a bridge to assess the conditions of bridge elements. Data collected through inspection is used to make important decisions regarding needs assessment and budget allocation. However, inspection data is at best subjective and associated with uncertainty. This tends to create problems in the decision-making process. This paper presents a methodology to minimise the effect of such problems on the assessment of bridge decks condition. A bridge deck condition index is developed based on the remaining value of deteriorated quantities. A methodology is proposed that uses the fuzzy number concept and the Monte Carlo simulation technique to rate the deck condition taking into account the subjectivity and the uncertainty issues in the inspection process. The proposed methodology benefits from the bridge deck inspection's current practice. It produces a probabilistic rating that is consistent with the Markovian approach to model deterioration.