International Journal ‘Structural Health Monitoring’ publishes paper on a new benchmark dataset for aerospace digital twins
Structural Health Monitoring publishes peer-reviewed papers on technical investigations of structural health monitoring methods and technologies with an emphasis on balanced studies containing both theoretical and experimental aspects.
We are pleased to announce that the International Journal Structural Health Monitoring has published a paper by James Wilson from The University of Sheffield on a new benchmark dataset for aerospace digital twins.
This paper describes a new, comprehensive dataset from the Laboratory for Verification & Validation's (LVV) Hawk T1A aircraft across a range of damage scenarios and excitation types, which is freely available and linked in the paper. Please have a look and try out our API!
James' thanks go to his co-authors: Max Champneys, Matt Tipuric, Robin Mills, David Wagg and Tim Rogers.
He also relied on the help of Adam Brassington, Dan Clarkson, Iori Fukuda and Collins Ogbodo in gathering the dataset.
The paper can be found by visiting: https://journals.sagepub.com/doi/10.1177/14759217241297098
and the Hawk Data API is here: https://github.com/MDCHAMP/hawk-data