Planning bridge maintenance work based on technical condition monitoring

Abstract

Ensuring the normative condition of road networks and the artificial structures on them is one of the priority tasks of the Transport Strategy of the Russian Federation until 2030 and the National Project ‘Safe and High-Quality Roads’. The increase in traffic intensity on the roads of the Russian Federation, especially in the direction of the southern regions, imposes increasingly stringent requirements on their technical condition. The technical condition of both newly built bridge structures and those that were brought to standard condition through repair and restoration work will further depend on the timely measures taken to repair, overhaul or reconstruct them.
The purpose of this study was to examine existing tools for collecting initial data on the technical condition of bridge structures or a fleet of bridge structures, identify the pros and cons of existing databases for storing and processing information on artificial structures, and determine methods for predicting technical conditions based on long-term monitoring to enable the most rational planning of costs for their maintenance.
The article presents the main stages of forecasting the costs of maintaining artificial structures, modern technologies for collecting initial data, their advantages and disadvantages relative to traditional ones, considers the main possibilities and disadvantages of existing databases for storing and processing information about structures, proposes methods for forecasting the development of defects in artificial structures based on long-term monitoring data, mechanisms that allow optimizing costs for the period of maintenance of artificial structures due to the forecast of the development of defects over time for a specific park of artificial structures.