A carregar...
Publicação
Prediction models for rail temperatures validated with experimental measurements
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.89 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Rail temperatures play an important role when understanding and predicting rail track’s instabilities. An energy balance model called CNU was used to simulate rail temperatures, validated with FEA analysis, and compared with field-collected data. The model uses weather data and accounts for the solar position to improve temperature prediction. In addition, a python package is developed to solve the thermal lumped model including specific modifications on the model. Both simplified and Finite Element Analysis (FEA) models are in
good agreement. Compared with the collected data, the model reaches an R² of 0.914.
Descrição
Palavras-chave
Rail temperature Finite element analysis Prediction models
Contexto Educativo
Citação
Frigeri, Ary V.N.; Minhoto, Manuel; Piloto, Paulo A.G.; Silva, Dyorgge Alves (2021). Prediction models for rail temperatures validated with experimental measurements. In 12th National Congress on Experimental Mechanics (CNME2020). Monte Real (Portugal)