Bayesian optimal sensor placement for crack identification in structures using strain measurements C Argyris, S Chowdhury, V Zabel, C Papadimitriou Structural Control and Health Monitoring 25 (5), e2137, 2018 | 36 | 2018 |
Bayesian optimal sensor placement for modal identification of civil infrastructures C Argyris, C Papadimitriou, P Panetsos Journal of Smart Cities 2 (2), 69-86, 2016 | 28 | 2016 |
Bayesian model-updating using features of modal data: Application to the metsovo bridge C Argyris, C Papadimitriou, P Panetsos, P Tsopelas Journal of Sensor and Actuator Networks 9 (2), 27, 2020 | 14 | 2020 |
Bayesian optimal experimental design for parameter estimation and response predictions in complex dynamical systems C Papadimitriou, C Argyris Procedia engineering 199, 972-977, 2017 | 10 | 2017 |
Bayesian uncertainty quantification and optimal experimental design in data driven simulations of engineering systems C Argyris Πανεπιστήμιο Θεσσαλίας. Σχολή Πολυτεχνική. Τμήμα Μηχανολόγων Μηχανικών …, 2017 | 10 | 2017 |
Bayesian estimation of tension in bridge hangers using modal frequency measurements C Papadimitriou, K Giakoumi, C Argyris, L Spyrou, P Panetsos Structural Monitoring and Maintenance 3 (4), 349-375, 2016 | 9 | 2016 |
Uncertainty calibration of large-order models of bridges using ambient vibration measurements C Papadimitriou, C Argyris, DC Papadioti, P Panetsos EWSHM-7th European Workshop on Structural Health Monitoring, 2014 | 9 | 2014 |
A unified sampling-based framework for optimal sensor placement considering parameter and prediction inference C Argyris, C Papadimitriou, G Samaey, G Lombaert Mechanical Systems and Signal Processing 161, 107950, 2021 | 8 | 2021 |
Optimal sensor placement for response predictions using local and global methods C Argyris, C Papadimitriou, G Lombaert Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2020 | 4 | 2020 |
Information-Driven Modeling of Structures Using a Bayesian Framework C Papadimitriou, C Argyris, P Panetsos Experimental Vibration Analysis for Civil Structures: Testing, Sensing …, 2018 | 4 | 2018 |
A Bayesian framework for optimal experimental design in structural dynamics C Argyris, C Papadimitriou Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2016 | 3 | 2016 |
Bayesian optimal experimental design using asymptotic approximations C Argyris, C Papadimitriou Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2017 | 2 | 2017 |
Identification and finite element modeling of Alcazar building in Chile using earthquake vibration data C Papadimitriou, I Gavriilidis, C Argyris, H Jensen, C Esse, V Araya Proceedings 16th World Conference on Earthquake Engineering, Paper 4389, 2016 | 2 | 2016 |
Model calibration of Metsovo bridge using ambient vibration measurements from various construction phases C Argyris, C Papadimitriou, P Panetsos, P Tsopelas 1st ECCOMAS Thematic Conference on Uncertainty Quantification in …, 2015 | 2 | 2015 |
Bayesian uncertainty quantification in seismically isolated structures equipped with nonlinear hysteretic devices C Argyris, P Tsopelas, C Papadimitriou Proceedings of the 6th World Conference on Structural Control and Monitoring …, 2014 | 2 | 2014 |
A computationally efficient Bayesian framework for structural health monitoring using physics-based models C Papadimitriou, C Argyris, P Panetsos Civil Comp Proceed 109, 2015 | 1 | 2015 |
School of Engineering Department of Mechanical Engineering A TZOUMAKA University of Thessaly, 2018 | | 2018 |
An Information Theoretic Framework for Optimal Experimental Design C Papadimitriou, C Argyris, E Chatzi Life-Cycle of Engineering Systems:, 245-251, 2016 | | 2016 |
On the development of a 9–node 2D 2nd order Lagrangian finite element with linear pressure for metal plasticity Α Τζουμάκα | | 2016 |
CALIBRATION OF FINITE ELEMENT MODELS OF METSOVO BRIDGE USING AMBIENT VIBRATION MEASUREMENTS C Argyris, DC Papadioti, P Panetsos, C Papadimitriou | | |