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Conference Papers Year : 2021

Neural Networks NARX for Durability Bonded Joint Prediction

Abstract

From the experimental data of the asymetric cleavage test at the bonded joint we studied the crack length propagation as a function of the fracture energy thanks an artificial neural networks. We used the Nonlinear Autoregressive Exogenous (NARX) neural network. The model predicts the crack length with a good agreement with the experimental findings. However, training of the stabilization crack on too long time can cause over-training.
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Dates and versions

hal-04101626 , version 1 (10-07-2023)

Identifiers

  • HAL Id : hal-04101626 , version 1

Cite

Helene Canot, Philippe Durand, Emmanuel Frénod, Valérie Nassiet, Dariush Ghorbanzadeh. Neural Networks NARX for Durability Bonded Joint Prediction. International MultiConference of Engineers and Computer Scientists 2021, Oct 2021, Hong Kong, France. ⟨hal-04101626⟩
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