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Costas Argyris
Costas Argyris
Senior Software Engineer at MathWorks
Verified email at mathworks.com
Title
Cited by
Cited by
Year
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
452018
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
332016
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
212020
Bayesian optimal experimental design for parameter estimation and response predictions in complex dynamical systems
C Papadimitriou, C Argyris
Procedia engineering 199, 972-977, 2017
122017
Bayesian uncertainty quantification and optimal experimental design in data driven simulations of engineering systems
C Argyris
Πανεπιστήμιο Θεσσαλίας. Σχολή Πολυτεχνική. Τμήμα Μηχανολόγων Μηχανικών …, 2017
112017
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
102014
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
92021
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
92016
Information-Driven Modeling of Structures Using a Bayesian Framework
C Papadimitriou, C Argyris, P Panetsos
Experimental Vibration Analysis for Civil Structures: Testing, Sensing …, 2018
52018
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
42020
A Bayesian framework for optimal experimental design in structural dynamics
C Argyris, C Papadimitriou
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2016
32016
Bayesian optimal experimental design using asymptotic approximations
C Argyris, C Papadimitriou
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2017
22017
IDENTIFICATION AND FINITE ELEMENT MODELING OF ALCAZAR BUILING 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
22016
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
22015
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
22014
A computationally efficient Bayesian framework for structural health monitoring using physics-based models
C Papadimitriou, C Argyris, P Panetsos
Civil Comp Proceed 109, 2015
12015
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: Emphasis on Sustainable Civil …, 2016
2016
On the development of a 9–node 2D 2nd order Lagrangian finite element with linear pressure for metal plasticity
Α Τζουμάκα
2016
Structural Damage Identification by Integrating Bayesian Inference and Physics-Based Models
C Papadimitriou, C Argyris, P Panetsos
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