publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. meta_preds.png
    On a meta–learning population-based approach to damage prognosis
    G. Tsialiamanis, C. Sbarufatti, N. Dervilis, and 1 more author
    Mechanical Systems and Signal Processing, 2024
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2023

  1. meta_img.png
    Towards a population–informed approach to the definition of data-driven models for structural dynamics
    G. Tsialiamanis, N. Dervilis, D.J. Wagg, and 1 more author
    Mechanical Systems and Signal Processing, 2023
    arXiv HTML PDF
  2. On the use of variational autoencoders for nonlinear modal analysis
    T Simpson, G Tsialiamanis, N Dervilis, and 2 more authors
    In Nonlinear Structures Systems, Volume 1, 2023
    HTML PDF
  3. A Meta-Learning Approach to Population–Based Modelling of Structures
    G Tsialiamanis, N Dervilis, DJ Wagg, and 1 more author
    arXiv preprint arXiv:2302.07980, 2023
    arXiv PDF
  4. On the Detection and Quantification of Nonlinearity via Statistics of the Gradients of a Black–Box Model
    G. Tsialiamanis, and C.R. Farrar
    In Society for Experimental Mechanics Annual Conference and Exposition, 2023
    arXiv HTML PDF

2022

  1. NLMA_img.png
    On the application of generative adversarial networks for nonlinear modal analysis
    G Tsialiamanis, MD Champneys, N Dervilis, and 2 more authors
    Mechanical Systems and Signal Processing, 2022
    arXiv HTML PDF
  2. On the dynamic properties of statistically–independent nonlinear normal modes
    MD Champneys, G Tsialiamanis, TJ Rogers, and 2 more authors
    Mechanical Systems and Signal Processing, 2022
    HTML PDF
  3. On Modelling Statistically Independent Nonlinear Normal Modes with Gaussian Process NARX Models
    M.D. Champneys, G. Tsialiamanis, T.J. Rogers, and 2 more authors
    In Nonlinear Structures and Systems, Volume 1: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022, 2022
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2021

  1. foundations_img.png
    Foundations of population–based SHM, Part IV: The geometry of spaces of structures and their feature spaces
    G Tsialiamanis, C Mylonas, E Chatzi, and 3 more authors
    Mechanical Systems and Signal Processing, 2021
    arXiv HTML PDF
  2. generative_DTs_img.png
    On generative models as the basis for digital twins
    G Tsialiamanis, D J Wagg, N Dervilis, and 1 more author
    Data–Centric Engineering, 2021
    HTML PDF
  3. On generating parametrised structural data using conditional generative adversarial networks
    G P Tsialiamanis, D J Wagg, N Dervilis, and 1 more author
    In Presented at the 39th International Modal Analysis Conference, 2021
    arXiv HTML PDF
  4. On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation
    G. Tsialiamanis, D.J. Wagg, N. Dervilis, and 1 more author
    International Workshop on Structural Health Monitoring 2021, 2021
    arXiv HTML PDF

2020

  1. On Partitioning of an SHM Problem and Parallels with Transfer Learning
    G Tsialiamanis, DJ Wagg, P A Gardner, and 2 more authors
    In Topics in Modal Analysis and Testing, Volume 8, 2020
    arXiv HTML PDF
  2. An ontological approach to structural health monitoring
    G. Tsialiamanis, D.J. Wagg, I. Antoniadou, and 1 more author
    In Topics in Modal Analysis and Testing, Volume 8, 2020
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  3. An application of generative adversarial networks in structural health monitoring
    G Tsialiamanis, E Chatzi, N Dervilis, and 2 more authors
    In EURODYN 2020: Proceedings of the XI International Conference on Structural Dynamics, 2020
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  4. A neat approach to structural health monitoring
    G Tsialiamanis, DJ Wagg, N Dervilis, and 1 more author
    In EURODYN 2020: Proceedings of the XI International Conference on Structural Dynamics, 2020
    HTML PDF
  5. Bayesian graph neural networks for strain–based crack localization
    C Mylonas, G Tsialiamanis, K Worden, and 1 more author
    arXiv preprint arXiv:2012.06791, 2020
    arXiv PDF