68 citations · 172 across the 9 of their papers we have counts for
5 papers · 1 filter
Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks
Thomas Simpson, Nikolaos Dervilis, Philippe Couturier +2
In the field of structural health monitoring (SHM), inverse problems which require repeated analyses are common. With the increase in the use of nonlinear models, the development o…
Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks
Thomas Simpson, Nikolaos Dervilis, Eleni Chatzi
In analyzing and assessing the condition of dynamical systems, it is necessary to account for nonlinearity. Recent advances in computation have rendered previously computationally…
Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
Charilaos Mylonas, Imad Abdallah, Eleni Chatzi
Graph Networks (GNs) enable the fusion of prior knowledge and relational reasoning with flexible function approximations. In this work, a general GN-based model is proposed which t…
On Dynamic Substructuring of Systems with Localised Nonlinearities
Thomas Simpson, Dimitrios Giagopoulos, Vasilis Dertimanis +1
Dynamic substructuring (DS) methods encompass a range of techniques to decompose large structural systems into multiple coupled subsystems. This decomposition has the principle ben…
Multiscale Surrogate Modeling and Uncertainty Quantification for Periodic Composite Structures
Charilaos Mylonas, Valentin Bemetz, Eleni Chatzi
Computational modeling of the structural behavior of continuous fiber composite materials often takes into account the periodicity of the underlying micro-structure. A well establi…