| Damage detection based on power dissipation measured with PZT sensors through the combination of electro-mechanical impedances and guided waves E Sevillano, R Sun, R Perera Sensors 16 (5), 639, 2016 | 45 | 2016 |
| Debonding detection of FRP strengthened concrete beams by using impedance measurements and an ensemble PSO adaptive spectral model R Sun, E Sevillano, R Perera Composite Structures 125, 374-387, 2015 | 45 | 2015 |
| Interfacial crack-induced debonding identification in FRP-strengthened RC beams from PZT signatures using hierarchical clustering analysis E Sevillano, R Sun, A Gil, R Perera Composites Part B: Engineering 87, 322-335, 2016 | 42 | 2016 |
| Identification of intermediate debonding damage in FRP-strengthened RC beams based on a multi-objective updating approach and PZT sensors R Sun, E Sevillano, R Perera Composites Part B: Engineering 109, 248-258, 2017 | 37 | 2017 |
| Damage detection using curvatures obtained from vehicle measurements EJ OBrien, D Martinez, A Malekjafarian, E Sevillano Journal of Civil Structural Health Monitoring 7, 333-341, 2017 | 32 | 2017 |
| Identification of intermediate debonding damage in FRP-plated RC beams based on multi-objective particle swarm optimization without updated baseline model R Perera, E Sevillano, A Arteaga, A De Diego Composites Part B: Engineering 62, 205-217, 2014 | 30 | 2014 |
| A discrete spectral model for intermediate crack debonding in FRP-strengthened RC beams R Sun, E Sevillano, R Perera Composites Part B: Engineering 69, 562-575, 2015 | 28 | 2015 |
| Bridge damage detection using vehicle axle-force information EJ OBrien, PC Fitzgerald, A Malekjafarian, E Sevillano Engineering Structures 153, 71-80, 2017 | 27 | 2017 |
| Damage evaluation of structures with uncertain parameters via interval analysis and FE model updating methods E Sevillano, R Sun, R Perera Structural Control and Health Monitoring 24 (4), e1901, 2017 | 21 | 2017 |
| A multi-objective electromechanical impedance technique to identify debonding in RC beams flexural strengthened with FRP R Perera, R Sun, E Sevillano, A Ruiz Procedia engineering 199, 2232-2237, 2017 | 16 | 2017 |
| Damage identification from power spectrum density transmissibility YL Zhou, R Perera Velamazan, E Sevillano Bravo Industriales, 2012 | 16 | 2012 |
| Bridge weigh-in-motion using a moving force identification algorithm PC Fitzgerald, E Sevillano, EJ OBrien, A Malekjafarian Procedia engineering 199, 2955-2960, 2017 | 13 | 2017 |
| Monitoring the condition of a bridge using a traffic speed deflectometer vehicle travelling at highway speed EJ OBrien, E Sevillano, D Martinez | 11 | 2016 |
| Comparison of PZT and FBG sensing technologies for debonding detection on reinforced concrete beams strengthened with external CFRP strips subjected to bending loads E Sevillano, R Sun, R Perera, A Arteaga, A De Diego, D Cisneros Materiales de Construcción 66 (322), e088-e088, 2016 | 10 | 2016 |
| Damage detection by drive-by monitoring using the vertical displacements of a bridge D Martinez, EJ Obrien, E Sevillano Insights and Innovations in Structural Engineering, Mechanics and …, 2016 | 9 | 2016 |
| Drive-by bridge damage detection using curvatures in uncertain environments D Martinez, EJ O'Brien, E Sevillano Civil Engineering Research Association of Ireland, 2016 | 6 | 2016 |
| Parameter identification of composite materials based on spectral model by using model updating method R Sun, R Perera, E Sevillano, J Gu International Journal of Polymer Science 2018, 2018 | 5 | 2018 |
| Instantaneous curvature in bridge damage detection E Sevillano, EJ OBrien, D Martinez Proc. of the CSHM-6: Structural health monitoring of new and ageing …, 2016 | 5 | 2016 |
| Application of image processing to the analysis of congested traffic A Micu, EJ O'Brien, E Sevillano Proceedings of Civil Engineering Research in Ireland Conference, August 29 …, 2016 | 4 | 2016 |
| Multiobjective structural damage identification in uncertain environments R Perera, E Sevillano, A Ruiz MATEC Web of Conferences 1, 01006, 2012 | 2 | 2012 |
Rui SunChongqing UniversityVerified email at cqu.edu.cn
