Research on AHP-MDC Method-based Maintenance Decision-making Model for URT Bridges

ObjectiveURT (urban rail transit) bridge structures are subjected to train dynamic loads over extended periods, making their inspection and maintenance tasks increasingly critical. At present, the current evaluation system for URT bridges still lacks systematicity and completeness, necessitating the establishment of a maintenance decision-making model for URT bridges. MethodA maintenance decision-making model based on AHP (analytic hierarchy process) and MDC (matrix double control method) is proposed, aiming to assess the technical condition of URT bridges and guide bridge upkeep and management. First, the key factors in URT bridge maintenance decision-making are hierarchically analyzed using the AHP method, establishing a maintenance decision-making system. Second, based on bridge disease inspection data, the MDC method is employed to process and evaluate disease sample data, establishing a maintenance decision-making model for URT bridges. Finally, the maintenance decision-making model is applied to the technical condition assessment of bridges along an entire rail transit line to verify the model's effectiveness and practicality. Result & Conclusion The proposed model is capable of comprehensively evaluating the importance and health condition of different components of URT bridges. Based on the model's rational weight allocation of each component and accurate calculation of bridge scores, the results can provide practical and feasible maintenance decisions for URT bridges.