2024

• K. Margaronis, V. Merevis, R. Banerjee, I. Kalogeris, P. Mauri, A. Mallick, S. Pyrialakos, V. Papadopoulos, M. Obstbaum, V. Faessler, Multiscale Simulations of Carbon-Based Composites for the Design of Sustainable Automotive Parts.

2022

• S. Bakalakos, I. Kalogeris, V. Papadopoulos, M. Papadrakakis, P. Maroulas, D.A. Dragatogiannis, C.A. Charitidis, An integrated XFEM modeling with experimental measurements for optimizing thermal conductivity in carbon nanotube reinforced polyethylene, Modelling and Simulation in Materials Science and Engineering, 2022
• S. Nikolopoulos, I. Kalogeris, V. Papadopoulos, “Machine Learning Accelerated Transient Analysis of Stochastic Nonlinear Structures”, Engineering Structures, 2022.
• S. Nikolopoulos, I. Kalogeris, V. Papadopoulos, “Non-intrusive surrogate modeling for parametrized time-dependent PDEs using convolutional autoencoders”, Engineering Applications of Artificial Intelligence, vol. 109. 2022.
• A. A. Savvides, Stochastic failure of a double eccentricity footing settlement on cohesive soils with a modified Cam Clay yield surface, Transport in Porous Media, 2022.
• A. A. Savvides, M. Papadrakakis, “Uncertainty quantification of failure of shallow foundation on clayey soils with a modified Cam Clay yield criterion and stochastic FEM.”, Geotechnics,2(2), 348-384, 2022.

2021

• S. Bakalakos, I. Kalogeris, V. Papadopoulos, An extended finite element method formulation for modeling multi-phase boundary interactions in steady state heat conduction problems, Composite Structures, vol. 258, 2021
• S. Pyrialakos, I. Kalogeris, G. Sotiropoulos, V. Papadopoulos, “A neural network-aided Bayesian identification framework for multiscale modeling of nanocomposites”, Computer Methods in Applied Mechanics and Engineering, vol. 384, 2021.
• S. Nikolopoulos, P. A. Gourgiotis, T. Zisis, “Analysis of the Tilted Shallow Wedge Problem in Couple-Stress Elasticity”, Journal of Elasticity, vol. 144 205-221, 2021.
• .. Savvides, M. Papadrakakis, A computational study on the uncertainty quantification of failure of clays with a modified Cam-Clay yield criterion. SN Appl. Sci. 3, 659 (2021).
• .. Savvides, M. Papadrakakis, Probabilistic failure estimation of an oblique loaded footing settlement on cohesive geomaterials with a Modified Cam Clay material yield function, Geotechnics 2021, 1(2), 347-384
• G. Stefanou, D. Savvas, D, P. Metsis, “Random Material Property Fields of 3D Concrete Microstructures Based on CT Image Reconstruction”. Materials 2021, 14, 1423. https://doi.org/10.3390/ma14061423
• . Lu, J. Yvonnet, L. Papadopoulos, I. Kalogeris, V. Papadopoulos, A stochastic FE2 data-driven method for nonlinear multiscale modeling, Materials, vol. 14, 2021
• S. Pyrialakos, I. Kalogeris, G. Sotiropoulos, V. Papadopoulos, A neural network-aided Bayesian identification framework for multiscale modeling of nanocomposites, Computer Methods in Applied Mechanics and Engineering, vol. 384, 2021
• I. Kalogeris, V. Papadopoulos, Diffusion maps-aided Neural Networks for the solution of parametrized PDEs, Computer Methods in Applied Mechanics and Engineering, vol. 376, 2021
• S. Bakalakos, I. Kalogeris, V. Papadopoulos, An extended finite element method formulation for modeling multi-phase boundary interactions in steady state heat conduction problems, Composite Structures, vol. 258, 2021

2020

• O. Panagouli, K. Margaronis, V. Tsotoulidou, “A multiscale model for thermal contact conductance of rough surfaces under low applied pressure”, International Journal of Solids and Structures, Vol 200 – 201, Pages 106 -118, Sept. 2020.
• S. Bakalakos, I. Kalogeris, V. Papadopoulos, “An XFEM formulation for modeling heat transfer boundary interactions of multi-phase materials”, Composite Structures, accepted, 2020.
• I. Kalogeris, V. Papadopoulos, “Diffusion maps-aided Neural Networks for the solution of parametrized PDEs”, Comp. Meth. Appl. Mech. Eng, Invited submission in Special Issue on Artificial Intelligence, accepted 2020.
• M. Tavlaki, V. Papadopoulos, “Concurrent optimization of the topology and material orientation of a carbon-nanotube reinforced structure using a multiscale technique”, International Journal on Numerical Methods and Engineering, submitted, 2020.
• D. Tsapetis, G. Sotiropoulos, G. Stavroulakis, V. Papadopoulos, M. Papadrakakis, “A Stochastic Multiscale formulation for Isogeometric Composite Kirchhoff-Love shells”, Comp. Meth. Appl. Mech. Eng, accepted, 2020.
• G. Soimoiris, G. Sotiropoulos, O. Kokkinos, V. Papadopoulos, “An efficient multiscale FEM approach for stochastic nonlinear homogenization of carbon nanotube reinforced composites”, Composite Structures, submitted, 2020.
• I. Kalogeris, V. Papadopoulos, Diffusion maps-based surrogate modeling: An alternative machine learning approach, International Journal of Numerical Methods in Engineering, vol. 121, pp. 602- 620, 2020

• D. Savvas, I. Papaioannou, G. Stefanou, ”Bayesian identification and model comparison for random property fields derived from material microstructure”, Computer Methods in Applied Mechanics and Engineering, 365 (2020) 113026.
• .. Savvides, M. Papadrakakis, A probabilistic assessment for porous consolidation of clays. SN Applied Science 2, 2115 (2020).

2019

• X. Lu, D. Giovanis, J. Yvonnet, V. Papadopoulos, F. Detrez, J. Bai, “A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites”, Computational Mechanics, 64 (2), pp. 307-321, 2019.
• I. Kalogeris, V. Papadopoulos, “A diffusion maps –based surrogate modeling – An alternative machine learning approach”, International Journal on Numerical Methods and Engineering IJNME, 121 (4), 602-620, 2019.
• V. Papadopoulos, I. Kalogeris, D. Giovanis, A spectral stochastic formulation for nonlinear framed structures, Probabilistic Engineering Mechanics, vol. 55, pp. 90-101, 2019
• D. Savvas, G. Stefanou, ”The Effect of Material and Geometrical Uncertainty on the Homogenized Properties of Graphene Sheet-Reinforced Composites”, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B: Mechanical Engineering, Volume 5(3), 2019.

2018

• I. Kalogeris, V. Papadopoulos, “Limit analysis of stochastic structures in the framework of the probability density evolution method”, Engineering Structures, 160, pp. 204-313, 2018.
• V. Papadopoulos, G. Soimiris, D. Giovanis, M. Papadrakakis, “A neural network-based surrogate model for carbon nanotubes with geometric nonlinearities”, Comp. Meth. Appl. Mech. Eng., 328, pp. 411-430, 2018.
• V. Papadopoulos, I. Kalogeris, D. Giovanis, “A spectral stochastic formulation for nonlinear framed structures”, Probabilistic Eng. Mechanics, 55, pp. 90-102, 2018.
• D. Savvas, G. Stefanou, ”Determination of random material properties of graphene sheets with different types of defects”, Composites Part B: Engineering, Volume 143, p. 47 – 54, 2018.

2017

• G. Stefanou, D. Savvas, M. Papadrakakis, ”Stochastic finite element analysis of composite structures based on mesoscale random fields of material properties”, Computer Methods in Applied Mechanics and Engineering, Volume 326, p. 319 – 337, 2017.
• G. Stavroulakis, D.G. Giovanis, V. Papadopoulos, M. Papadrakakis, “A GPU domain decomposition solution for spectral stochastic finite element method,” Computer Methods in Applied Mechanics and Engineering, 327, 392-410, 2017.
• G. Stavroulakis, D. Tsapetis, M. Papadrakakis, “Extending Domain Decomposition Solution Schemes for Large-Scale Isogeometric Simulations,” 2017.
• Papadopoulos, V., Seventekidis, I., “Stochastic multiscale modeling of graphene reinforced composites”, Engineering Structures, 145, pp. 176-189, 2017.
• Manitaras, T-I., Papadopoulos, V., Papadrakakis, M.., “Dynamic variability response functions for stochastic wave propagation in soils”, Soil Dynamics and Earthquake Engineering, 97, pp. 60-73, 2017.
• Giovanis G, Papaioannou, I, Papadopoulos, V., Straub, D., “Bayesian updating with subset simulation using artificial neural networks”, Computer Methods in Applied Mechanics and Engineering, 319, pp. 124-145, 2017.
• Papadopoulos, V., Impraimakis, M., “Multiscale modeling of carbon nanotube reinforced concrete”, Composite Structures, 182, pp. 251-260, 2017.

2016

• D. Savvas, G. Stefanou, ”Assessment of the effect of microstructural uncertainty on the macroscopic properties of random composite materials”, Journal of Composite Materials, Volume 51(19), p. 2707 – 2725, 2016.
• D. Savvas, G. Stefanou, V. Papadopoulos, M. Papadrakakis, ”Effect of waviness and orientation of carbon nanotubes on random apparent material properties and RVE size of CNT reinforced composites”, Composite Structures, Volume 152, p. 870-882, 2016.
• D. Savvas, G. Stefanou, M. Papadrakakis, ”Determination of RVE size for random composites with local volume fraction variation”, Computer Methods in Applied Mechanics and Engineering, Volume 305, p. 340-358, 2016.
• I. Kalogeris, V. Papadopoulos, A Galerkin-based formulation of the probability density evolution method for general stochastic finite element systems, Computational Mechanics, vol. 57, pp. 701-716, 2016
• Papadopoulos, V., Tavlaki, M., “The impact of interfacial properties on the macroscopic performance of carbon nanotube composites. A FE2-based multiscale study”, Composite Structures, 136, pp. 582-682, 2016.
• M. Fragiadakis, Giovanis, D., Papadopoulos V., “Epistemic uncertainty assessment using Incremental Dynamic Analysis and Neural Networks”, Bulletin of Earthquake Engineering, 14(2), pp. 529-547, 2016.
• Kokkinos, O., Papadopoulos, V., “Robust design with Variability Response Functions; an alternative approach”, Structural Safety, 59, pp. 1-8, 2016.

2015

• G. Stefanou, D. Savvas, M. Papadrakakis, ”Stochastic finite element analysis of composite structures based on material microstructure”, Composite Structures, Volume 132, p. 384-392, 2015.
• P. Metsis, N. Lantzounis and M. Papadrakakis, “A new hierarchical partition of unity formulation of EFG meshless methods” Computer Methods in Applied Mechanics and Engineering, vol. 283, 2015, pp. 782–805.
• Giovanis, D., Papadopoulos V., “Spectral representation-based neural network assisted stochastic structural mechanics”, Engineering Structures, 84, pp. 382-394 2015.
• Papadopoulos, V., Kokkinos, O., “Transient response of stochastic finite element systems using Dynamic Variability Response Functions”, Structural Safety, 52 (PA), pp. 100-112, 2015.

2014

• D. Savvas, G. Stefanou, M. Papadrakakis, G. Deodatis, ”Homogenization of random heterogeneous media with inclusions of arbitrary shape modeled by XFEM”, Computational Mechanics, Volume 54, p. 1221-1235, 2014.
• D. Savvas, V. Papadopoulos, ”Nonlinear multiscale homogenization of carbon nanotube reinforced composites with interfacial slippage”, International Journal of Multiscale Computational Engineering, Volume 12, p. 271-289, 2014.
• G. Stefanou, D. Savvas, M. Papadrakakis, G. Deodatis. Homogenization of random heterogeneous media with inclusions of arbitrary shape, ”Multiscale Modeling and Uncertainty Quantification of Materials and Structures”, pp. 85-99, Springer (2014).
• G. Stavroulakis, D.G. Giovanis, M. Papadrakakis, V. Papadopoulos, “A new perspective on the solution of uncertainty quantification and reliability analysis of large-scale problems,” Computer Methods in Applied Mechanics and Engineering, 276, 627-658.
• D.G. Giovanis, V. Papadopoulos, G. Stavroulakis, “An adaptive spectral Galerkin stochastic finite element method using variability response functions,”International Journal for Numerical Methods in Engineering, 104 (3), 185-208.
• G. Stavroulakis, D.G. Giovanis, M. Papadrakakis, V. Papadopoulos, “Monte Carlo Simulation vs. Polynomial Chaos in Structural Analysis: A Numerical Performance Study,” Multiscale Modeling and Uncertainty Quantification of Materials and Structures, Springer, Cham, 215-231, 2014.

2013

• A. Karatarakis, P. Metsis, M. Papadrakakis, “GPU-acceleration of stiffness matrix calculation and efficient initialization of EFG meshless methods”, Computer Methods in Applied Mechanics and Engineering, vol. 258, 2013, pp. 63–80.
• V. Papadopoulos, G. Soimiris and M. Papadrakakis, Buckling analysis of I-section portal frames with stochastic imperfections, Engineering Structures, 47 , pp. 54-66 2013.
• V. Papadopoulos and N. Lagaros, Performance-Based Optimum Design of Structures with Vulnerability Objectives, International Journal for Reliability and Safety, 7 (1) , pp. 75-94, 2013.
• Vryzides, I., Stefanou, G., Papadopoulos V., “Stochastic stability analysis of steel tubes with random initial imperfections”, Finite Elements in Analysis and Design, 77, pp. 31-39, 201.

2012

• D. Savvas, V. Papadopoulos, M. Papadrakakis, ”The effect of interfacial shear strength on damping behavior of carbon nanotube reinforced composites”, International Journal of Solids and Structures, Volume 49, p. 3823-3837, 2012.
• D. Savvas, V. Papadopoulos, M. Papadrakakis. Mechanical performance of carbon nanotube reinforced composites under cyclic loading, ”A book dedicated to Bernhard A. Schrefler”, Bytes and Science (2012).
• P. Metsis and M. Papadrakakis, “Overlapping and non-overlapping domain decomposition methods for large-scale meshless EFG simulations”, Computer Methods in Applied Mechanics and Engineering, vol. 229-232, 2012, pp. 128–141.
• V. Papadopoulos and O. Kokkinos, Variability response functions for stochastic systems under dynamic excitations, Probabilistic Engineering Mechanics, 28 , pp. 176-184, (2012).
• V. Papadopoulos, D. Giovanis and N. Lagaros and M. Papadrakakis, Accelerated subset simulation for reliability analysis using neural networks, Computer Methods in Applied Mechanics and Engineering, 223-224 , pp. 70-80 (2012).

2011

• M. Papadrakakis, G. Stavroulakis, A. Karatarakis, “A new era in scientific computing: Domain decomposition methods in hybrid CPU–GPU architectures,” Computer Methods in Applied Mechanics and Engineering, 200 (13-16), 1490-1508.
• V. Papadopoulos, G. Stefanou and M. Papadrakakis, Buckling load variability of cylindrical shells with stochastic imperfections, International Journal for Reliability and Safety, 5 (2), 191-208, 2011.

2010

• D. Schillinger and V. Papadopoulos, Accurate Estimation of Evolutionary Power Spectra for Strongly Narrow-Band Random Fields, Computer Methods in Applied Mechanics and Engineering, 199 (17-20), 947-960, 2010.
• D. Schillinger, V. Papadopoulos, M. Papadrakakis and M. Bishoff, Buckling Analysis of Imperfect I-Section Beam-Columns with Stochastic Shell Finite Elements, Computational Mechanics, 46|(3), 495-510, 2010.

2009

• G.M. Stavroulakis, M. Papadrakakis, “Advances on the domain decomposition solution of large scale porous media problems,” Computer Methods in Applied Mechanics and Engineering, 198 (21-26), 1935-1945.
• I.F. Moschonas, A.J. Kappos, P. Panetsos, V. Papadopoulos, T. Makarios and P. Thanopoulos, Seismic fragility curves for greek bridges: methodology and case studies, Bulletin of Earthquake Engineering, 7(2), 439-468, 2009.
• V. Papadopoulos, D.C Charmpis, and M. Papadrakakis, A computationally efficient method for the buckling analysis of shells with stochastic imperfections, Computational Mechanics, 43 (5), 687-700, 2009.
• V. Papadopoulos, G. Stefanou and M. Papadrakakis, Buckling analysis of imperfect shells with stochastic non-Gaussian material and thickness properties, International Journal of Solids and Structures, 46(14-15), 2800- 2808, 2009.
• V. Papadopoulos and N. Lagaros, Vulnerability-based robust design optimization of imperfect shell structures, Structural Safety, 31(6), 475-482, 2009.

2008

• M. Papadrakakis, V. Papadopoulos, N. Lagaros, J. Oliver, A. E. Huespe, and P. Sánchez, Vulnerability Analysis of Large Concrete Dams using the Continuum Strong Discontinuity Approach and Neural Networks, Structural Safety, 30 (3), 217-235, 2008.

2007

• V. Papadopoulos and P. Inglessis, The effect of imperfect boundary conditions on the buckling analysis of cylindrical shells with random geometric material and thickness imperfections, International Journal of Solids and Structures, 44 (18-19), 6299-6317, 2007.

2006

• V. Papadopoulos and G. Deodatis, Response variability of stochastic frame structures using evolutionary field theory, Computer Methods in Applied Mechanics and Engineering, 195 (9-12), 1050-1074, 2006.
• V. Papadopoulos, M. Papadrakakis and G. Deodatis, Analysis of mean response and response variability of stochastic finite element systems Computer Methods in Applied Mechanics and Engineering, 195 (41-43), pp. 5454-5471, 2006.
• N. Lagaros and V. Papadopoulos, Optimum design of shell structures with random geometric, material and thickness imperfections, International Journal of Solids and Structures, 43 (22-23), 6948-6964, 2006.

2005

• G. Stavroulakis, M. Papadrakakis, D. Giovanis, V. Papadopoulos, “A domain decomposition solution of soil-structure interaction problems in porous media considering uncertainties,” COUPLED PROBLEMS 2005, Computational Methods for Coupled Problems in Science and Engineering, Santorini, Greece, May 25-28.
• V. Papadopoulos and M. Papadrakakis, The effect of material and thickness imperfections on the buckling load of shells with random initial imperfections, Computer Methods in Applied Mechanics and Engineering, 194, (12-16), 1405-1426, 2005.
• V. Papadopoulos, G. Deodatis and M. Papadrakakis, Flexibility-based upper bounds on the response variability of simple beams, Computer Methods in Applied Mechanics and Engineering, 194, (12-16), 1385-1404, 2005.

2004

• V. Papadopoulos and M. Papadrakakis, Finite element Analysis of cylindrical panels with random initial imperfections, Journal of Engineering Mechanics 130, (8), 867-876, 2004.

1998

• V. Papadopoulos and M. Papadrakakis, Stochastic finite element-based reliability analysis of space frames, Probabilistic Engineering Mechanics, 13 (1), 53 – 65, 1998.

1996

• M. Papadrakakis, V. Papadopoulos and N. Lagaros, Structural reliability Analysis of elastoplastic structures using neural networks and Monte Carlo simulation, Computer Methods in Applied Mechanics and Engineering, 136, 145-163,1996.
• M. Papadrakakis, V. Papadopoulos, Robust and efficient solution techniques for the stochastic finite element analysis of space frames, Computer Methods in Applied Mechanics and Engineering, 134, 325-340, 1996.

1995

• M. Papadrakakis and V. Papadopoulos, A computationally efficient method for the limit analysis of space frames, Journal of Computational Mechanics, 16(2), 132-141, 1995.
• V. Papadopoulos and M. Papadrakakis, Efficient solution procedures for the stochastic finite analysis of space frames using the Monte Carlo Simulation, Computational Structures Technology CST ’95, in B.H.V. Topping (Ed.) Developments in Computational Techniques for Structural Engineering, Civil Comp Press, 61-70,1995.