| Extended finite element method for quasi‐brittle fracture S Mariani, U Perego International Journal for Numerical Methods in Engineering 58 (1), 103-126, 2003 | 284 | 2003 |
| Parameter identification in explicit structural dynamics: performance of the extended Kalman filter A Corigliano, S Mariani Computer methods in applied mechanics and engineering 193 (36-38), 3807-3835, 2004 | 214 | 2004 |
| Unscented Kalman filtering for nonlinear structural dynamics S Mariani, A Ghisi Nonlinear Dynamics 49, 131-150, 2007 | 195 | 2007 |
| An extended FE strategy for transition from continuum damage to mode I cohesive crack propagation C Comi, S Mariani, U Perego International Journal for Numerical and Analytical Methods in Geomechanics …, 2007 | 179 | 2007 |
| Big data analytics and structural health monitoring: a statistical pattern recognition-based approach A Entezami, H Sarmadi, B Behkamal, S Mariani Sensors 20 (8), 2328, 2020 | 123 | 2020 |
| Mechanics of microsystems A Corigliano, R Ardito, C Comi, A Frangi, A Ghisi, S Mariani John Wiley & Sons, 2017 | 119 | 2017 |
| Impact induced composite delamination: state and parameter identification via joint and dual extended Kalman filters S Mariani, A Corigliano Computer methods in applied mechanics and engineering 194 (50-52), 5242-5272, 2005 | 104 | 2005 |
| Model order reduction and domain decomposition strategies for the solution of the dynamic elastic–plastic structural problem A Corigliano, M Dossi, S Mariani Computer Methods in Applied Mechanics and Engineering 290, 127-155, 2015 | 94 | 2015 |
| Extended finite element simulation of quasi-brittle fracture in functionally graded materials C Comi, S Mariani Computer Methods in Applied Mechanics and Engineering 196 (41-44), 4013-4026, 2007 | 90 | 2007 |
| Identification of Gurson–Tvergaard material model parameters via Kalman filtering technique. I. Theory A Corigliano, S Mariani, B Orsatti International journal of fracture 104, 349-373, 2000 | 83 | 2000 |
| Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection A Entezami, H Shariatmadar, S Mariani Advances in Engineering Software 150, 102923, 2020 | 81 | 2020 |
| Investigation of computational and accuracy issues in POD-based reduced order modeling of dynamic structural systems SE Azam, S Mariani Engineering structures 54, 150-167, 2013 | 77 | 2013 |
| Multi-scale analysis of MEMS sensors subject to drop impacts S Mariani, A Ghisi, A Corigliano, S Zerbini Sensors 7 (9), 1817-1833, 2007 | 75 | 2007 |
| Fast unsupervised learning methods for structural health monitoring with large vibration data from dense sensor networks A Entezami, H Shariatmadar, S Mariani Structural Health Monitoring 19 (6), 1685-1710, 2020 | 72 | 2020 |
| Numerical analysis of rate-dependent dynamic composite delamination A Corigliano, S Mariani, A Pandolfi Composites Science and Technology 66 (6), 766-775, 2006 | 70 | 2006 |
| Cost–benefit optimization of structural health monitoring sensor networks G Capellari, E Chatzi, S Mariani Sensors 18 (7), 2174, 2018 | 65 | 2018 |
| Online damage detection in structural systems via dynamic inverse analysis: A recursive Bayesian approach SE Azam, S Mariani Engineering Structures 159, 28-45, 2018 | 65 | 2018 |
| Online structural health monitoring by model order reduction and deep learning algorithms L Rosafalco, M Torzoni, A Manzoni, S Mariani, A Corigliano Computers & Structures 255, 106604, 2021 | 63 | 2021 |
| Numerical modeling of rate-dependent debonding processes in composites A Corigliano, S Mariani, A Pandolfi Composite Structures 61 (1-2), 39-50, 2003 | 61 | 2003 |
| Fully convolutional networks for structural health monitoring through multivariate time series classification L Rosafalco, A Manzoni, S Mariani, A Corigliano Advanced Modeling and Simulation in Engineering Sciences 7 (1), 38, 2020 | 60 | 2020 |
Alberto CoriglianoProfessor of Solid and Structural Mechanics, Politecnico di MilanoVerified email at polimi.it
