Source: Journal of Materials Research and Technology Volume 23, March–April 2023, Pages 3257-3271. Unidade: EP
Subjects: FADIGA DAS ESTRUTURAS, JUNTAS REBITADAS, PONTES FERROVIÁRIAS
ABNT
CORREIA, José António Fonseca de Oliveira et al. Fatigue strength assessment of riveted railway bridge details based on regression analyses combined with probabilistic models. Journal of Materials Research and Technology Volume 23, March–April 2023, Pages 3257-3271, v. 23, p. 3257-3271, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jmrt.2023.01.193. Acesso em: 20 ago. 2024.APA
Correia, J. A. F. de O., Mourão, A. M. de B. F. da S., Xin, H., Jesus, A. M. P. de, Bittencourt, T. N., Calçada, R. A. B., & Berto, F. (2023). Fatigue strength assessment of riveted railway bridge details based on regression analyses combined with probabilistic models. Journal of Materials Research and Technology Volume 23, March–April 2023, Pages 3257-3271, 23, 3257-3271. doi:10.1016/j.jmrt.2023.01.193NLM
Correia JAF de O, Mourão AM de BF da S, Xin H, Jesus AMP de, Bittencourt TN, Calçada RAB, Berto F. Fatigue strength assessment of riveted railway bridge details based on regression analyses combined with probabilistic models [Internet]. Journal of Materials Research and Technology Volume 23, March–April 2023, Pages 3257-3271. 2023 ; 23 3257-3271.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.jmrt.2023.01.193Vancouver
Correia JAF de O, Mourão AM de BF da S, Xin H, Jesus AMP de, Bittencourt TN, Calçada RAB, Berto F. Fatigue strength assessment of riveted railway bridge details based on regression analyses combined with probabilistic models [Internet]. Journal of Materials Research and Technology Volume 23, March–April 2023, Pages 3257-3271. 2023 ; 23 3257-3271.[citado 2024 ago. 20 ] Available from: https://doi.org/10.1016/j.jmrt.2023.01.193