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Advisor(s)
Abstract(s)
Rail temperatures play an important role when understanding and predicting rail track instabilities. A rail temperature energy balance model was used, validated with FEA analysis, and compared with field-collected data. Both solution methods are in good agreement. Compared with the collected data, the model reaches an R² of 0.83. Boundary conditions improvements may be required.
Description
Keywords
Railway Temperature Weather FEA
Citation
Frigeri, Ary Vinicius N.; Minhoto, Manuel; Piloto, P.A.G.; Pereira, Ana I. (2020). Prediction models for rail temperatures validated with experimental measurements. In Verão com Ciência 2020. IPB Bragança