Desenvolvimento e calibração de um modelo computacional para a simulação do comportamento mecânico do sistema trem-ferrovia

Abstract

Structural health monitoring has proven to be an effective tool for diagnosing the conservation and integrity of various infrastructures, including buildings, bridges, viaducts, and railways. The approaches used range from on-site inspections, involving sensing and signal processing, to the application of computational models for simulating the mechanical behavior of structures. This comprehensive set of techniques is known as Structural Health Monitoring (SHM). In this context, the present work proposes the development of a numerical model for simulating the dynamic interaction between train and railway track, contributing to the identification of structural variations and the assessment of the integrity of the permanent way. The model accounts for variations in parameters such as structural stiffness, load, train speed, and track characteristics, enabling a detailed analysis of the displacements and internal forces generated. The simulation results were calibrated and compared with experimental data, demonstrating the model’s feasibility in identifying structural behavior patterns and contributing to the advancement of railway monitoring and predictive maintenance strategies, with a focus on the implementation of SHM techniques.