See below the list of journal papers published by the ESRs:
Ercan, Tulay, Sedehi, Omid, Katafygiotis, Lambros S., & Papadimitriou, Costas. (2022). Information Theoretic-Based Optimal Sensor Placement for Virtual Sensing using Augmented Kalman Filtering. DOI
Xinyu Jia, Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis, & Babak Moaveni. (2021). Hierarchical Bayesian Modeling Framework for Model Updating and Robust Predictions in Structural Dynamics using Modal Features. DOI
Paulo Gonzaga, Henrik Toft, Keith Worden, et. al. Impact of blade structural and aerodynamic uncertainties on wind turbine loads. Wind Energy. 2022; 25(6) 1060-1076. DOI
Ercan, Tulay, & Papadimitriou, Costas. (2022). Bayesian Optimal Sensor Placement for Parameter Estimation under Modeling and Input Uncertainties. DOI
Grabowski, K.*, Srivatsa, S.*, Vashisth, A., Mishnaevsky, L. & Uhl, T. (2021). Recent Advances in MXene-based Sensors for Structural Health Monitoring Applications: A Review. Submitted in Measurement DOI
Tsialiamanis, (G.), Wagg, (D. J.), Gardner, (P. A.), Dervilis, (N.), & Worden, (K.) (2021). On partitioning of an SHM problem and parallels with transfer learning. In Topics in Modal Analysis & Testing, Volume 8 (pp. 41-50). Springer, Cham. DOI
S.Vettori, E.Di Lorenzo, B.Peeters, M.M.Luczak, E.Chatzi 2022 An adaptive-noise Augmented Kalman Filter approach for input-state estimation in structural dynamics Mechanical Systems and Signal Processing DOI
G.D.Pasparakis, I.A.Kougioumtzoglou, V.C.Fragkoulis, F.Kong, M.Beer 2022 Excitation–response relationships for linear structural systems with singular parameter matrices: A periodized harmonic wavelet perspective Mechanical Systems and Signal Processing DOI
Krzysztof Grabowski, Shreyas Srivatsa, Aniruddh Vasisht, Leon Mishnaevsky, Tadeusz Uhl 2022 Recent advances in MXene-based sensors for Structural Health Monitoring applications: A review Measurement DOI
N. Tsokanas, R. Pastorino, B. Stojadinovic 2021 A Comparison of Surrogate Modeling Techniques for Global Sensitivity Analysis in Hybrid Simulation Machine Learning and Knowledge Extraction DOI
W. Chen, D. Jana, A. Singh, M. Jin, M. Cenedese, G. Kosova, M. R. W. Brake, C. W. Schwingshackl, S. Nagarajaiah, K. J. Moore, J. P. Noël 2021. Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part I: Measurement of nonlinear dynamics Mechanical Systems and Signal Processing DOI
M. Jin, G. Kosova, M. Cenedese, W. Chen, A. Singh, D. Jana, M. R. W. Brake, C. W. Schwingshackl, S. Nagarajaiah, K. J. Moore, J. P. Noël 2021. Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II – Nonlinear system identification Mechanical Systems and Signal Processing DOI
G.Tsialiamanis, M.D. Champneys, N. Dervilis, D. Wagg and K. Worden 2021. On the application of generative adversarial networks for nonlinear modal analysisMechanical Systems and Signal Processing DOI
Menghao Ping;Xinyu Jia;Papadimitriou, Costas; Xu Han; Chao Jiang 2021. Statistics-based Bayesian Modeling Framework for Uncertainty Quantification and PropagationMechanical Systems and Signal Processing DOI
Xinyu Jia; Sedehi, Omid; Papadimitriou, Costas; Lambros S. Katafygiotis; Moaveni, Babak (2021) Hierarchical Bayesian Modeling Framework for Model Updating and Robust Predictions in Structural Dynamics using Modal Features – Pre-print DOI, OpenAire
Siddhesh Raorane, Tadeusz Uhl and Pawel Packo (2021) Formulation and Stability Analysis of a Multi-Scale Modeling Approach for Simulation of Elastic Wave Propagation DOI,
Tsialiamanis, George; Mylonas, Charilaos; Chatzi, Eleni; Dervilis, Nikolaos; Wagg, David; Worden, Keith (2021) Foundations of population-based SHM, Part IV: The geometry of spaces of structures and their feature spaces DOI
Tulay Ercan, Costas Papadimitriou (2021) Optimal Sensor Placement for Reliable Virtual Sensing Using Modal Expansion and Information Theory DOI
T Simpson, N Dervilis, E Chatzi (2021) Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks DOI
Shreyas Srivatsa, Paweł Paćko, Leon Mishnaevsky, Jr., Tadeusz Uhl and Krzysztof Grabowski (2021) Micromechanical modeling of nacre-mimetic Ti3C2-MXene nanocomposites with viscoelastic polymer matrix. DOI
George D. Pasparakis, Ketson R.M. dos Santos, Ioannis A. Kougioumtzoglou, Michael Beer (2021) Wind data extrapolation and stochastic field statistics estimation via compressive sampling and low rank matrix recovery methods. DOI
Tsokanas, Nikolaos; Zhu, Xujia; Abbiati, Giuseppe; Marelli, Stefano; Sudret, Bruno; Stojadinovic, Bozidar (2021) A global sensitivity analysis framework for hybrid simulation with stochastic substructures DOI
Tsokanas, Nikolaos; Simpson, Thomas; Pastorino, Roland; Chatzi, Eleni; Stojadinovic, Bozidar (2021) Model Order Reduction for Real-Time Hybrid Simulation: Comparing Polynomial Chaos Expansion and Neural Network methods DOI
Tsokanas, Nikolaos; Pastorino, Roland; Stojadinovic, Bozidar (2021) Adaptive model predictive control for actuation dynamics compensation in real-time hybrid simulation DOI
Srivatsa S; P Belthangadi; S Ekambaram; M Pai; P Sen; T Uhl; S Kumar; K Grabowski; M M Nayak (2021) Correction: Dynamic response study of Ti3C2-MXene films to shockwave and impact forces. DOI
Tsialiamanis, George; Wagg, David J; Dervilis, Nikolaos; Worden, Keith (2021) On generative models as the basis for digital twins DOI
Tsokanas, Nikolaos; Abbiati, Giuseppe; Kanellopoulos, Konstantinos; Stojadinovic, Bozidar; (2021) Multi-Axial Hybrid Fire Testing based on Dynamic Relaxation DOI
Shreyas Srivatsa, Pawe Pako, Leon Mishnaevsky, Jr., Tadeusz Uhl and Krzysztof Grabowski (2020) Deformation of Bioinspired MXene-Based Polymer Composites with Brick and Mortar Structures: A Computational Analysis. DOI
Tsokanas, N.; Wagg, D.; Stojadinovic, B. (2020) Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation. LINK
Simpson, Thomas; Dertimanis, Vasilis; Papadimitriou, Costas; Chatzi, Eleni (2020) On the Potential of Dynamic Substructuring Methods for Model Updating- Pre-print DOI
Pasparakis, G. D., V. C. Fragkoulis, and M. Beer. (2020) Harmonic wavelets based response evolutionary power spectrum determination of linear and nonlinear structural systems with singular matrices. DOI
Simpson T, Dertimanis VK and Chatzi EN (2020) Towards Data-Driven Real-Time Hybrid Simulation: Adaptive Modeling of Control Plants. DOI
C Mylonas, G Tsialiamanis, K Worden (2020) Bayesian graph neural networks for strain-based crack localization DOI
Publications by DyVirt partners
Larson, Karen; Bowman, Clark; Papadimitriou, Costas; Koumoutsakos, Petros; Matzavinos, Anastasios. Detection of arterial wall abnormalities via Bayesian model selection 2019 DOI
O Sedehi, D Teymouri, LS Katafygioti (2019). Quantification of Aleatory Uncertainty in Modal Updating Problems using a New Hierarchical Bayesian Framework. Page 1. 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13 Seoul, South Korea, May 26-30, 2019 DOI
Daniz Teymouri; Omid Sedehi; Lambros S. Katafygiotis; Costas Papadimitriou (2019). A New Online Bayesian Approach for the Joint Estimation of State and Input Forces using Response only Measurements. 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13; Seoul, South Korea, May 26-30, 2019 DOI
Papadimitriou C. (2020) Optimal Sensor Placement for Response Reconstruction in Structural Dynamics. In: Barthorpe R. (eds) Model Validation and Uncertainty Quantification, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham DOI
Omid Sedehi , Lambros S. Katafygiotis and Costas Papadimitriou (2020) Hierarchical Bayesian Operational Modal Analysis: Theory and Computations. Mechanical Systems and Signal Processing DOI
Larson, K., Arampatzis, G., Bowman, C., Chen, Z., Hadjidoukas, P., Papadimitriou, C., & Matzavinos, A. (2021). Data-driven prediction and origin identification of epidemics in population networks. DOI
C. Papadimitriou (2018). Data-Driven Bayesian Uncertainty Quantification and Propagation
Framework for Dynamical Systems, The 9th International Conference on Computational Methods (ICCM 2018), Aug. 6-10 2028, Rome, Italy. (Abstract only) LINK
C. Papadimitriou (2019) Bayesian optimal experimental design framework for data-driven uncertainty iquantification in dytnamical systems, 14th International Conference on Vibration Problems (ICOVP 2019), Sept. 1-4, 2019, Herakleion, Crete, Greece. (Abstract only)
C. Papadimitriou, O. Sedehi, L.S. Katafygiotis (2019). Hierarchical Bayesian Modelling Framework for Data-Driven Uncertainty Quantification in Engineering Simulations, 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), June 24-26, 2019 (Abstract only). Invited Semi-Plenary Lecture