Luís Volnei Sudati Sagrilo

MFL signals and artificial neural networks applied to detection and classification of pipe weld defects

Antonio Alves de Carvalho, J.M.A. Rebello, Luís Volnei Sudati Sagrilo et al. · NDT & E International · 2006 · 155 citations

Computing, Computer Science, Industrial Engineering +16

Reliability of non-destructive test techniques in the inspection of pipelines used in the oil industry

Antonio Alves de Carvalho, J.M.A. Rebello, Marcos Paulo Vieira de Souza et al. · International Journal of Pressure Vessels and Piping · 2008 · 122 citations

Engineering, Petroleum Engineering, Condition Assessment +12

Neural networks in the dynamic response analysis of slender marine structures

R. Guarize, N.A.F. Matos, Luís Volnei Sudati Sagrilo et al. · Applied Ocean Research · 2007 · 103 citations

Engineering, Marine Engineering, Ocean Engineering +16

On the long-term response of marine structures

Luís Volnei Sudati Sagrilo, André Santos Dória · Applied Ocean Research · 2011 · 61 citations

Engineering, Marine Engineering, Ocean Engineering +14

A Theoretical Approach to Predict the Fatigue Life of Flexible Pipes

José Renato M. de Sousa, Fernando Jorge Mendes de Sousa, Marcos Queija de Siqueira et al. · Journal of Applied Mathematics · 2012 · 59 citations · Full text

Engineering, Civil Engineering, Materials Science +17