| MFL signals and artificial neural networks applied to detection and classification of pipe weld defects AA Carvalho, JMA Rebello, LVS Sagrilo, CS Camerini, IVJ Miranda Ndt & E International 39 (8), 661-667, 2006 | 221 | 2006 |
| Reliability of non-destructive test techniques in the inspection of pipelines used in the oil industry AA Carvalho, JMA Rebello, MPV Souza, LVS Sagrilo, SD Soares International journal of pressure vessels and piping 85 (11), 745-751, 2008 | 133 | 2008 |
| Neural networks in the dynamic response analysis of slender marine structures R Guarize, NAF Matos, LVS Sagrilo, ECP Lima Applied Ocean Research 29 (4), 191-198, 2007 | 117 | 2007 |
| Reliability-based comparative study for mooring lines design criteria AO Vazquez-Hernandez, GB Ellwanger, LVS Sagrilo Applied Ocean Research 28 (6), 398-406, 2006 | 75 | 2006 |
| On the long-term response of marine structures LVS Sagrilo, A Naess, AS Doria Applied Ocean Research 33 (3), 208-214, 2011 | 71 | 2011 |
| A theoretical approach to predict the fatigue life of flexible pipes JRM de Sousa, FJM de Sousa, MQ de Siqueira, LVS Sagrilo, ... Journal of Applied Mathematics 2012, 2012 | 58 | 2012 |
| Long-term response analysis of FPSO mooring systems AO Vázquez-Hernández, GB Ellwanger, LVS Sagrilo Applied Ocean Research 33 (4), 375-383, 2011 | 55 | 2011 |
| A coupled approach for dynamic analysis of CALM systems LVS Sagrilo, MQ Siqueira, GB Ellwanger, ECP Lima, MDAS Ferreira, ... Applied ocean research 24 (1), 47-58, 2002 | 51 | 2002 |
| On the reliability of an automated ultrasonic system for hull inspection in ship-based oil production units AA Carvalho, LVS Sagrilo, IC Silva, JMA Rebello, RO Carneval Applied Ocean Research 25 (5), 235-241, 2003 | 39 | 2003 |
| Evaluation of the relevant characteristic parameters of welding defects and probability of correct classification using linear classifiers RR Da Silva, LP Calôba, MHS Siqueira, LVS Sagrilo, JMA Rebello Insight 44 (10), 616-22, 2002 | 37 | 2002 |
| A joint probability model for environmental parameters LVS Sagrilo, EC Prates de Lima, A Papaleo | 36 | 2011 |
| Artificial neural networks applied to flexible pipes fatigue calculations V Chaves, LVS Sagrilo, VRM Silva, MA Vignoles International Conference on Offshore Mechanics and Arctic Engineering 56529 …, 2015 | 29 | 2015 |
| VIM and wave-frequency fatigue damage analysis for SCRs connected to monocolumn platforms LVS Sagrilo, M Queija de Siqueira, TA Gonc¸ alves de Lacerda, ... International Conference on Offshore Mechanics and Arctic Engineering 43413 …, 2009 | 28 | 2009 |
| Análise de confiabilidade estrutural utilizando os métodos analíticos FORM e SORM LVS Sagrilo COPPE/UFRJ, Rio de Janeiro, Brasil, 1994 | 27 | 1994 |
| Reliability of the manual and automatic ultrasonic technique in the detection of pipe weld defects AA Carvalho, JMA Rebello, RR Silva, LVS Sagrilo Insight-Non-Destructive Testing and Condition Monitoring 48 (11), 649-654, 2006 | 24 | 2006 |
| Probabilistic fatigue analysis of marine structures using the univariate dimension-reduction method JS Monsalve-Giraldo, CMS Dantas, LVS Sagrilo Marine Structures 50, 189-204, 2016 | 21 | 2016 |
| The effect of some uncertainties associated to the environmental contour lines definition on the extreme response of an FPSO under hurricane conditions FL Silva-González, AO Vázquez-Hernández, LVS Sagrilo, R Cuamatzi Applied Ocean Research 53, 190-199, 2015 | 21 | 2015 |
| Neural networks applied to the wave-induced fatigue analysis of steel risers JPR Cortina, FJM de Sousa, LVS Sagrilo Mathematical Problems in Engineering 2018, 2018 | 19 | 2018 |
| A study on the axial behavior of bonded flexible marine hoses GM Gonzalez, JRM de Sousa, LVS Sagrilo Marine Systems & Ocean Technology 11, 31-43, 2016 | 19 | 2016 |
| Pattern recognition techniques applied to the detection and classification of welding defects by magnetic testing AA Carvalho, RR Silva, JMA Rebello, LVS Sagrilo Research in Nondestructive Evaluation 21 (2), 91-111, 2010 | 19 | 2010 |
