Predicting bending moments with machine learning
Peer reviewed, Journal article
Published version
Åpne
Permanent lenke
https://hdl.handle.net/11250/2659999Utgivelsesdato
2019Metadata
Vis full innførselSamlinger
- Institutt for matematiske fag [2350]
- Publikasjoner fra CRIStin - NTNU [37177]
Originalversjon
10.1007/978-3-030-26980-7_19Sammendrag
We investigate the possibility of predicting the bending moment of slender structures based on a limited number of deflection measurements. These predictions can help to estimate the wear and tear of the structures. We compare linear regression and a recurrent neural network on numerically simulated Euler–Bernoulli beam and drilling riser.