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Advisor(s)
Abstract(s)
Rail temperature plays an important role when understanding and predicting thermal buckling. An energy balance model called CNU was used to simulate rail temperatures, validated with FEA analysis, and compared with experimental measurements. The model uses weather data and accounts for the solar position and shadow effect to improve temperature prediction. Furthermore, a python package is developed to solve the thermal lumped model including specific modifications on the model. The results from the simplified model and Finite Element Analysis (FEA) model are in good agreement. Compared with the collected data, the model reaches the value R² of 0.914.
Description
Keywords
Rail temperature Finite element analysis Prediction models
Citation
N. Frigeri, Ary Vinicius; Minhoto, Manuel; Piloto, P.A.G.; Silva, Dyorgge Alves (2022). Rail temperatures models validated with experimental measurements. Mecânica Experimental. ISSN 1646-7078. 34, p: 57-64
Publisher
APAET