Extended finite element method for quasi‐brittle fracture S Mariani, U Perego International Journal for Numerical Methods in Engineering 58 (1), 103-126, 2003 | 283 | 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 | 212 | 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 | 178 | 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 | 118 | 2020 |
Mechanics of microsystems A Corigliano, R Ardito, C Comi, A Frangi, A Ghisi, S Mariani John Wiley & Sons, 2017 | 116 | 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 | 103 | 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 | 90 | 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 | 89 | 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 | 78 | 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 | 75 | 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 | 74 | 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 | 69 | 2006 |
Cost–benefit optimization of structural health monitoring sensor networks G Capellari, E Chatzi, S Mariani Sensors 18 (7), 2174, 2018 | 64 | 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 | 64 | 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 |
Multi-scale analysis of polysilicon MEMS sensors subject to accidental drops: Effect of packaging A Ghisi, F Fachin, S Mariani, S Zerbini Microelectronics Reliability 49 (3), 340-349, 2009 | 60 | 2009 |
Numerical modeling of rate-dependent debonding processes in composites A Corigliano, S Mariani, A Pandolfi Composite Structures 61 (1-2), 39-50, 2003 | 59 | 2003 |