Publicação
Prediction models for rail temperatures validated with experimental measurements
| Resumo: | 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. |
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| Autores principais: | Frigeri, Ary Vinicius Nervis |
| Outros Autores: | Minhoto, Manuel; Piloto, P.A.G.; Pereira, Ana I. |
| Assunto: | Railway Temperature Weather FEA |
| Ano: | 2020 |
| País: | Portugal |
| Tipo de documento: | póster em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | 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. |
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