Introduction. This article explores the use of artificial intelligence (AI) to monitor the technical condition of bridges and predict the service life of structures. It outlines the relevance of this issue, analyzes recent research and publications, defines the purpose and objectives of the study, and describes the main material, results, conclusions, and prospects for further research.
Problem Statement. Monitoring the technical condition of bridges and predicting their service life requires a lot of time to process the results of the survey and determine the actual technical condition of the bridge elements.
Purpose. To analyze the possibility of using artificial intelligence to monitor the technical condition of bridges and predict their service life. To establish the reliability of the data obtained in comparison with traditional methods of assessing the technical condition.
Materials and methods. To analyze the possibility of using artificial intelligence to monitor the technical condition of bridges, we use available resources and databases on the Internet. State standards and regulations in force in Ukraine are used as initial data for the assessment.
Results. The analysis of foreign sources on the available software for the implementation of artificial intelligence in the system of monitoring the technical condition of structures was carried out.
Conclusions. The introduction of artificial intelligence-based software for monitoring the technical condition of bridges will significantly improve and accelerate the process of analysis, evaluation, preparation of conclusions and recommendations for the further operation of transport facilities.
