Detailed Study on the Behavior of Improved Beam T-Junctions Modeling for the Characterization of Tubular Structures, Based on Artificial Neural Networks Trained with Finite Element Models

Detailed Study on the Behavior of Improved Beam T-Junctions Modeling for the Characterization of Tubular Structures, Based on Artificial Neural Networks Trained with Finite Element Models

The actual behavior of welded T-junctions in tubular structures depends strongly on the topology of the junction at the joint level. In finite element analysis, beam-type elements are usually employed due to their simplicity and low computational cost, even though they cannot reproduce the joints to...

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Bibliographic Details
Main Authors: Francisco Badea, Jesus Angel Perez, Jose Luis Olazagoitia
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
T-junctions
neural networks
finite elements analysis
surrogate
beam improvements
beam T-junctions models
Online Access:https://www.mdpi.com/2227-7390/9/9/943

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