10 citations · 23 across the 5 of their papers we have counts for
5 papers
Towards Interpretable Damage Detection based on Aerodynamic Pressure Measurements
Philip Franz, Max von Danwitz, Gregory Duthé +2
The increasing flexibility of modern large wind turbine blades necessitates cost-efficient and reliable structural monitoring solutions. For this purpose, we propose to use aerodyn…
Modal Decomposition and Identification for a Population of Structures Using Physics-Informed Graph Neural Networks and Transformers
Xudong Jian, Kiran Bacsa, Gregory Duthé +1
Modal identification is crucial for structural health monitoring and structural control, providing critical insights into structural dynamics and performance. This study presents a…
Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils
Gregory Duthé, Imad Abdallah, Eleni Chatzi
We introduce a Graph Transformer framework that serves as a general inverse physics engine on meshes, demonstrated through the challenging task of reconstructing aerodynamic flow f…
Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
Xudong Jian, Yutong Xia, Gregory Duthé +3
The Population-Based Structural Health Monitoring (PBSHM) paradigm has recently emerged as a promising approach to enhance data-driven assessment of engineering structures by facil…
Graph Neural Networks for Aerodynamic Flow Reconstruction from Sparse Sensing
Gregory Duthé, Imad Abdallah, Sarah Barber +1
Sensing the fluid flow around an arbitrary geometry entails extrapolating from the physical quantities perceived at its surface in order to reconstruct the features of the surround…