Universidad de Oviedo-ko ikertzaileekin lankidetzan egindako argitalpenak (7)

2024

  1. Improvement of beam type element models of welded tubular junctions for fatigue analysis using artificial neural networks

    Heliyon, Vol. 10, Núm. 22

2023

  1. On the Application of Neural Networks Trained with FEM Data for the Identification of Stiffness Parameters of Improved Mechanical Beam Joints

    Mathematics, Vol. 11, Núm. 15

2022

  1. Beam T-junction Model Accuracy Improvement Based on Experimental Modal Analysis

    International Journal of Automotive Technology, Vol. 23, Núm. 6, pp. 1537-1545

  2. Characterization of Urban Bus Acceleration Cycles for Fatigue Analysis with a Portable Low-Cost Acquisition System

    Journal of Sensors, Vol. 2022

  3. Validation of Alternative Beam T-Junction Fem Models for Complex Tubular Structures

    Materials, Vol. 15, Núm. 18

2021

  1. 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

    Mathematics, Vol. 9, Núm. 9

2020

  1. Identification of tire model parameters with artificial neural networks

    Applied Sciences (Switzerland), Vol. 10, Núm. 24, pp. 1-16