Artificial Intelligence (AD-based bridge deterioration model has recently been developed to minimise uncertainties in predicting deterioration of structural bridge members (e.g. Such incompatibility is a major cause for the deficiency of the current BMS outcomes.
authorities have previously conducted inspection and maintenance tasks, these past inspection records are incompatible with what are required by a typical BMS as input. The deterioration rate is calculated based on historical condition ratings obtained from the structural element-level bridge inspections. To achieve this, a reliable deterioration model is essential in any Bridge Management System (BMS). Efficient use of public funds for structural integrity of bridge networks requires an effective bridge asset management technology.
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