| Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation M Papadrakakis, V Papadopoulos, ND Lagaros Computer methods in applied mechanics and engineering 136 (1-2), 145-163, 1996 | 417 | 1996 |
| Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation M Papadrakakis, V Papadopoulos Computer methods in applied mechanics and engineering 134 (3-4), 325-340, 1996 | 260 | 1996 |
| Accelerated subset simulation with neural networks for reliability analysis V Papadopoulos, DG Giovanis, ND Lagaros, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 223, 70-80, 2012 | 252 | 2012 |
| Seismic fragility curves for Greek bridges: methodology and case studies IF Moschonas, AJ Kappos, P Panetsos, V Papadopoulos, T Makarios, ... Bulletin of Earthquake Engineering 7 (2), 439-468, 2009 | 208 | 2009 |
| A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites X Lu, DG Giovanis, J Yvonnet, V Papadopoulos, F Detrez, J Bai Computational Mechanics 64 (2), 307-321, 2019 | 203 | 2019 |
| The effect of material and thickness variability on the buckling load of shells with random initial imperfections V Papadopoulos, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 194 (12-16), 1405-1426, 2005 | 143 | 2005 |
| Buckling analysis of imperfect shells with stochastic non-Gaussian material and thickness properties V Papadopoulos, G Stefanou, M Papadrakakis International Journal of Solids and Structures 46 (14-15), 2800-2808, 2009 | 97 | 2009 |
| A neural network-based surrogate model for carbon nanotubes with geometric nonlinearities V Papadopoulos, G Soimiris, DG Giovanis, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 328, 411-430, 2018 | 93 | 2018 |
| Non-intrusive surrogate modeling for parametrized time-dependent partial differential equations using convolutional autoencoders S Nikolopoulos, I Kalogeris, V Papadopoulos Engineering Applications of Artificial Intelligence 109, 104652, 2022 | 88 | 2022 |
| Bayesian updating with subset simulation using artificial neural networks DG Giovanis, I Papaioannou, D Straub, V Papadopoulos Computer Methods in Applied Mechanics and Engineering 319, 124-145, 2017 | 79 | 2017 |
| The effect of interfacial shear strength on damping behavior of carbon nanotube reinforced composites DN Savvas, V Papadopoulos, M Papadrakakis International Journal of Solids and Structures 49 (26), 3823-3837, 2012 | 78 | 2012 |
| Stochastic Finite Element Method V Papadopoulos, DG Giovanis Stochastic Finite Element Methods, 47-70, 2018 | 70* | 2018 |
| Optimum design of shell structures with random geometric, material and thickness imperfections ND Lagaros, V Papadopoulos International Journal of Solids and Structures 43 (22-23), 6948-6964, 2006 | 70 | 2006 |
| A Galerkin-based formulation of the probability density evolution method for general stochastic finite element systems V Papadopoulos, I Kalogeris Computational Mechanics 57 (5), 701-716, 2016 | 64 | 2016 |
| Finite-element analysis of cylindrical panels with random initial imperfections V Papadopoulos, M Papadrakakis Journal of engineering mechanics 130 (8), 867-876, 2004 | 62 | 2004 |
| The effect of non-uniformity of axial loading on the buckling behaviour of shells with random imperfections V Papadopoulos, P Iglesis International Journal of Solids and Structures 44 (18-19), 6299-6317, 2007 | 61 | 2007 |
| Vulnerability analysis of large concrete dams using the continuum strong discontinuity approach and neural networks M Papadrakakis, V Papadopoulos, ND Lagaros, J Oliver, AE Huespe, ... Structural Safety 30 (3), 217-235, 2008 | 60 | 2008 |
| Effect of waviness and orientation of carbon nanotubes on random apparent material properties and RVE size of CNT reinforced composites D Savvas, G Stefanou, V Papadopoulos, M Papadrakakis Composite Structures 152, 870-882, 2016 | 58 | 2016 |
| Flexibility-based upper bounds on the response variability of simple beams V Papadopoulos, G Deodatis, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 194 (12-16), 1385-1404, 2005 | 57 | 2005 |
| A new perspective on the solution of uncertainty quantification and reliability analysis of large-scale problems G Stavroulakis, DG Giovanis, M Papadrakakis, V Papadopoulos Computer Methods in Applied Mechanics and Engineering 276, 627-658, 2014 | 55 | 2014 |
Manolis PapadrakakisProfessor Em., School of Civil Engineering, National Technical University of AthensVerified email at central.ntua.gr
