Mathematical Model and Algorithm for Assessing and Predicting the Technical Condition of Reinforced Concrete Bridge Structures

Purpose: To consider the issue of developing a mathematical model and algorithm for assessing and predicting the technical condition of urban reinforced concrete bridge structures based on the performance criteria evaluation. The necessity of the mathematical model for forecasting the bridge structure engineering conditio to maintain the reliability and functionality of the Tashkent city bridge facilities at the required level has been investigated. Method: The hierarchy analysis method made it possible to optimally express this formula. The given method serves as a tool for problem solving by selecting the best option from those given. This method allows determining the value-based order of investment projects implementation. Criteria weights have been calculated in MPRIORITY 1.0. Results: The viaduct at the intersection of Gavkhar and Bunyodkor streets in Tashkent has been found to be in an unsatisfactory functioning condition. On this basis, it has been revealed that the service life of this structure is 35–38 years according to the W(t) parametric equation. Practical significance: Increased number of roads and vehicles in cities every year causes increased traffic congestion. Determining the appropriate levels by assessing and predicting the technical condition of reinforced concrete bridge structures made it possible to predict their service life and to plan maintenance works to meet the required level. Thus, the mathematical model for assessing and predicting the technical condition of existing reinforced concrete bridges and viaducts developed specifically for the city of Tashkent allows maintaining the required level of reliability and functionality of the city bridges.

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