AHP-based assessment and service-life prediction of urban reinforced concrete bridge structures: a case study from Tashkent

. This study presents a mathematical framework for assessing and predicting the technical condition of urban reinforced concrete bridge structures under the operating conditions of Tashkent. The empirical basis of the study includes visual inspection data collected from more than 30 bridges and overpasses, where defects and damage were evaluated using five technical and operational indicators: load-bearing capacity, throughput capacity, durability, traffic safety and comfort, and maintainability. To quantify the relative importance of these indicators, the hierarchy analysis method was applied in MPriority 1.0, and the resulting weighting scheme demonstrated acceptable consistency (OC = 5.29 %). Based on the obtained weights, a generalized technical condition indicator was formed and integrated with a wear-function-based service-life prediction model. A software-based assessment procedure was used to support practical evaluation of reinforced concrete bridge structures. The case analysis showed that the overpass located at the intersection of Gavkhar and Bunyodkor streets in Tashkent has entered an unsatisfactory condition stage after approximately 24 years of operation, while its estimated service life is 35-38 years. The proposed approach can be used as a decision-support tool for bridge-condition assessment and maintenance planning in urban transport systems.