101 citations · 246 across the 14 of their papers we have counts for
14 papers
Towards Agent-based Test Support Systems: An Unsupervised Environment Design Approach
Collins O. Ogbodo, Timothy J. Rogers, Mattia Dal Borgo +1
Modal testing plays a critical role in structural analysis by providing essential insights into dynamic behaviour across a wide range of engineering industries. In practice, design…
Adaptive Sensor Steering Strategy Using Deep Reinforcement Learning for Dynamic Data Acquisition in Digital Twins
Collins O. Ogbodo, Timothy J. Rogers, Mattia Dal Borgo +1
This paper introduces a sensor steering methodology based on deep reinforcement learning to enhance the predictive accuracy and decision support capabilities of digital twins by op…
Geometric Principles for Machine Learning of Dynamical Systems
Zack Xuereb Conti, David J Wagg, Nick Pepper
Mathematical descriptions of dynamical systems are deeply rooted in topological spaces defined by non-Euclidean geometry. This paper proposes leveraging structure-rich geometric sp…
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring
James Wilson, Max D. Champneys, Matt Tipuric +3
The use of measured vibration data from structures has a long history of enabling the development of methods for inference and monitoring. In particular, applications based on syst…
Towards a population-informed approach to the definition of data-driven models for structural dynamics
G. Tsialiamanis, N. Dervilis, D. J. Wagg +1
Machine learning has affected the way in which many phenomena for various domains are modelled, one of these domains being that of structural dynamics. However, because machine-lea…
A Meta-Learning Approach to Population-Based Modelling of Structures
G. Tsialiamanis, N. Dervilis, D. J. Wagg +1
A major problem of machine-learning approaches in structural dynamics is the frequent lack of structural data. Inspired by the recently-emerging field of population-based structura…
On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation
G. Tsialiamanis, D. Wagg, N. Dervilis +1
A major problem of structural health monitoring (SHM) has been the prognosis of damage and the definition of the remaining useful life of a structure. Both tasks depend on many par…
On generative models as the basis for digital twins
G. Tsialiamanis, D. J. Wagg, N. Dervilis +1
A framework is proposed for generative models as a basis for digital twins or mirrors of structures. The proposal is based on the premise that deterministic models cannot account f…
On partitioning of an SHM problem and parallels with transfer learning
G. Tsialiamanis, D. J. Wagg, P. A. Gardner +2
In the current work, a problem-splitting approach and a scheme motivated by transfer learning is applied to a structural health monitoring problem. The specific problem in this cas…
On an application of graph neural networks in population based SHM
G. Tsialiamanis, C. Mylonas, E. Chatzi +3
Attempts have been made recently in the field of population-based structural health monitoring (PBSHM), to transfer knowledge between SHM models of different structures. The attemp…
On generating parametrised structural data using conditional generative adversarial networks
G. Tsialiamanis, D. J. Wagg, N. Dervilis +1
A powerful approach, and one of the most common ones in structural health monitoring (SHM), is to use data-driven models to make predictions and inferences about structures and the…
On the application of generative adversarial networks for nonlinear modal analysis
G. Tsialiamanis, M. D. Champneys, N. Dervilis +2
Linear modal analysis is a useful and effective tool for the design and analysis of structures. However, a comprehensive basis for nonlinear modal analysis remains to be developed.…
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces
George Tsialiamanis, Charilaos Mylonas, Eleni Chatzi +3
One of the requirements of the population-based approach to Structural Health Monitoring (SHM) proposed in the earlier papers in this sequence, is that structures be represented by…
Experimental continuation of periodic orbits through a fold
J. Sieber, A. Gonzalez-Buelga, S. A. Neild +2
We present a continuation method that enables one to track or continue branches of periodic orbits directly in an experiment when a parameter is changed. A control-based setup in c…