Application of taxonomic analysis in assessing the operational strategy of a span structure

Aim. Develop a method for comparative analysis of a representative sample of variants of superstructure operation strategies based on a set of heterogeneous features characterizing their reliability and efficiency, as well as to determine the optimal combination of technical and technological solutions to ensure the established design service life. Materials and methods. One of the main technical and economic indicators when choosing a superstructure operation strategy for bridge structures is the cost of repair and restoration work to achieve the required values of reliability indicators. The choice of rational measures for the operation of bridge superstructures should be based on the use of methods that consider both the diversity and heterogeneity of the factors ensuring their operational reliability, and the stochastic nature of these factors. To solve this problem, a method for assessing the strategy for ensuring the operational reliability of reinforced concrete bridge superstructures is proposed, based on a combination of taxonomic, investment analysis and risk theory methods. Results. An analytical model has been obtained that allows determining the optimal strategy for the operation of a superstructure based on heterogeneous features characterizing reliability and efficiency, in which the establishment of quantitative reliability indicators is carried out using simulation modeling of the superstructure operation, taking into account the combined effect of uncertainties caused by the natural variability of the strength and deformation parameters of the main beams, the stochastic nature of degradation processes and loading modes. Conclusion. The presented method for assessing the strategy for operating span structures, as well as the results obtained during its testing, allow operating road construction organizations to determine the required technical and technological solutions to ensure the reliability indicators of span structures, as well as to predict the timing, composition and cost of repair and restoration work during the required service life.