Journal Publications
Morato, P.G., Andriotis, C.P., Papakonstantinou, K.G., Rigo, P., 2022, “Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning”. Submitted to Reliability Engineering & System Safety. Currently under review. arXiv preprint: https://arxiv.org/abs/2209.01092
Papakonstantinou, K.G., Nikbakht, H., Eshra, E., 2022, “Hamiltonian MCMC methods for estimating rare events probabilities in high-dimensional problems”. Currently under review. ArXiv preprint: https://arxiv.org/abs/2007.00180
Zhou, W., Miller-Hooks, E., Papakonstantinou, K.G., Stoffels, S., McNeil, S., 2022, “A reinforcement learning method for multi-asset roadway improvement scheduling considering traffic impacts”, Journal of Infrastructure Systems, 28(4): 04022033. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000702
Altamimi, A., Lagoa, C., Borges, J.G, McDill, M., Andriotis, C.P., Papakonstantinou, K.G., 2022, “Large-scale wildfire mitigation through deep reinforcement learning”, Frontiers in Forests and Global Change, 5: 734330-1:14. https://www.frontiersin.org/articles/10.3389/ffgc.2022.734330/full
Changizi, N., Amir, M., Warn, G.P., Papakonstantinou, K.G., 2022, “Topology optimization of structural frames based on nonlinear Timoshenko beam finite element considering full interaction”. International Journal for Numerical Methods in Engineering, 1-24. https://onlinelibrary.wiley.com/doi/full/10.1002/nme.7046
Morato, P.G., Papakonstantinou, K.G., Andriotis, C.P., Nielsen, J.S., Rigo, P., 2022, “Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processes”, Structural Safety, 94, 102140-1:16. https://www.sciencedirect.com/science/article/pii/S0167473021000631 ArXiv preprint: https://arxiv.org/abs/2009.04547
Amir, M., Papakonstantinou, K.G., Warn, G.P., 2022, “Scaled Spherical Simplex Filter and state-space damage-plasticity finite-element model for computationally efficient system identification”, Journal of Engineering Mechanics, 148(2): 04021138-1:17. https://ascelibrary.org/doi/10.1061/%28ASCE%29EM.1943-7889.0001945
Amir, M., Papakonstantinou, K.G., Warn, G.P., 2022, “State-space formulation for structural analysis with coupled degradation-plasticity and geometric nonlinearity”, Journal of Structural Engineering, 148(4), 04022016-1:21. https://ascelibrary.org/doi/10.1061/%28ASCE%29ST.1943-541X.0003152
Papakonstantinou, K.G., Amir, M., Warn, G.P., 2022, “A Scaled Spherical Simplex Filter (S3F) with a decreased n+2 sigma points set size and equivalent 2n+1 Unscented Kalman Filter (UKF) accuracy”, Mechanical Systems and Signal Processing, 163, 107433-1:25. https://www.sciencedirect.com/science/article/pii/S0888327020308190
Andriotis, C.P., Papakonstantinou, K.G., 2021, “Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints”, Reliability Engineering and System Safety, 212, 107551- 1:16. https://www.sciencedirect.com/science/article/pii/S095183202100106X ArXiv preprint: https://arxiv.org/abs/2007.01380
Andriotis, C.P., Papakonstantinou, K.G., Chatzi E.N., 2021, “Value of structural health information in partially observable stochastic environments”, Structural Safety, 93, 102072-1:13. https://www.sciencedirect.com/science/article/pii/S0167473020301508 ArXiv preprint: https://arxiv.org/abs/1912.12534
Lyritsakis, C., Andriotis, C.P., Papakonstantinou, K.G., 2021, “Geometrically exact hybrid beam element based on nonlinear programming”, International Journal for Numerical Methods in Engineering, 1-27. https://onlinelibrary.wiley.com/doi/full/10.1002/nme.6663
Amir, M., Papakonstantinou, K.G., Warn, G.P., 2020, “Hysteretic finite element model including multiaxial yield/capacity surface evolution with degradations”, Journal of Engineering Mechanics, 146.9: 04020105-1:21. https://ascelibrary.org/doi/10.1061/%28ASCE%29EM.1943-7889.0001767
Amir, M., Papakonstantinou, K.G., Warn, G.P., 2020, “A consistent Timoshenko hysteretic beam finite element model”, International Journal of Non-Linear Mechanics, 119: 103218-1:12. https://www.sciencedirect.com/science/article/pii/S0020746219300836
Andriotis C.P., Papakonstantinou, K.G., 2019 “Managing engineering systems with large state and action spaces through deep reinforcement learning”, Reliability Engineering and System Safety, 191: 106483-1:17. https://www.sciencedirect.com/science/article/pii/S0951832018313309. Also as arXiv preprint: https://arxiv.org/abs/1811.02052
Andriotis C.P., Papakonstantinou, K.G., Koumousis, V.K., 2018, “Nonlinear programming hybrid beam-column element formulation for large-displacement elastic and inelastic analysis”, ASCE Journal of Engineering Mechanics, 144(10): 04018096-1:10. https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29EM.1943-7889.0001483
Andriotis C.P., Papakonstantinou, K.G., 2018, “Extended and generalized fragility functions”, ASCE Journal of Engineering Mechanics, 144(9): 04018087-1:14. https://ascelibrary.org/doi/10.1061/%28ASCE%29EM.1943-7889.0001478
Papakonstantinou, K.G., Shinozuka, M., Andriotis C.P., 2018, “POMDP and MOMDP solutions for structural life-cycle cost minimization under partial and mixed observability”, Structure and Infrastructure Engineering, 14(7): 869-882. https://www.tandfonline.com/doi/abs/10.1080/15732479.2018.1439973
Papakonstantinou, K.G., Papakonstantinou, G., 2018, “A nonlinear integer programming approach for the minimization of Boolean expressions”, Journal of Circuits, Systems, and Computers, 27(10): 1850163-1:29. http://www.worldscientific.com/doi/abs/10.1142/S0218126618501633
Vlachos, C., Papakonstantinou, K.G., Deodatis, G., 2018, “Structural applications of a predictive stochastic ground motion model – Assessment and use”. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 4(2), 04018006-1:12. https://ascelibrary.org/doi/abs/10.1061/AJRUA6.0000946
Vlachos, C., Papakonstantinou, K.G., Deodatis, G., 2018, “Predictive model for site specific simulated ground motions based on earthquake scenarios”, Earthquake Engineering and Structural Dynamics, 47(1):195-218. http://onlinelibrary.wiley.com/doi/10.1002/eqe.2948/full
Vlachos, C., Papakonstantinou, K.G., Deodatis, G., 2016 “A multi-modal analytical non-stationary spectral model for characterization and stochastic simulation of earthquake ground motions”, Soil Dynamics and Earthquake Engineering, 80:177-191. http://www.sciencedirect.com/science/article/pii/S0267726115002468
Shinozuka, M., Papakonstantinou, K.G., Torbol, M., Kim, S., 2015, “Real-time remote monitoring: The DuraMote platform and experiments towards future, advanced, large-scale SCADA systems”, Structure and Infrastructure Engineering, 11(4):588-603. www.tandfonline.com/doi/abs/10.1080/15732479.2014.951861
Papakonstantinou, K.G., Shinozuka, M., 2014, “Optimum inspection and maintenance policies for corroded structures using Partially Observable Markov Decision Processes and stochastic, physically based models”, Probabilistic Engineering Mechanics, 37: 93-108. http://www.sciencedirect.com/science/article/pii/S0266892014000423
Papakonstantinou, K.G., Shinozuka, M., 2014, “Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part I: Theory”, Reliability Engineering and System Safety, 130: 202-213. http://www.sciencedirect.com/science/article/pii/S0951832014000672
Papakonstantinou, K.G., Shinozuka, M., 2014, “Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part II: POMDP implementation”, Reliability Engineering and System Safety, 130: 214-224. http://www.sciencedirect.com/science/article/pii/S0951832014000684
Papakonstantinou, K.G., Shinozuka, M., 2013, “Probabilistic model for steel corrosion in reinforced concrete structures of large dimensions considering crack effects”, Engineering Structures, 57: 306-326. http://www.sciencedirect.com/science/article/pii/S0141029613003210
Papakonstantinou, K.G., Shinozuka, M., 2013, “Spatial stochastic direct and inverse analysis for the extent of damage in deteriorated RC structures”, Computers & Structures, 128: 286–296. http://www.sciencedirect.com/science/article/pii/S0045794913002253
Papakonstantinou, K.G., Dimizas, P.C., Koumousis, V.K., 2008, “An inelastic beam element with hysteretic damping”, Shock and Vibration, 15(3-4): 273-290. https://www.hindawi.com/journals/sv/2008/707419/abs/
Book Chapter
Papakonstantinou, K.G., Shinozuka, M., 2014, “Stochastic control approaches for structural maintenance”, Book chapter in Maintenance and Safety of Aging Infrastructure, Frangopol & Tsompanakis (eds), Structures and Infrastructures Book Series, Vol.10, CRC Press. https://www.crcpress.com/Maintenance-and-Safety-of-Aging-Infrastructure-Structures-and-Infrastructures/Frangopol-Tsompanakis/p/book/9780415659420