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VI ECCOMAS Young Investigators Conference: Enviados recientemente

Mostrando ítems 6-10 de 46

Model-order reduction for nonlinear dynamics including nonlinearities induced by damage

Daby-Seesaram, Alexandre; Fau, Amélie; Charbonnel, Pierre Étienne; Néron, David (Editorial Universitat Politècnica de València, 2022-05-11)

[EN] Assessing the probability of failure of a structure under seismic loading requires the simulation of a great number of similar nonlinear computations. A model-order reduction strategy is proposed for decreasing the ...
Solution of heat transfer inverse problem in thin film irradiated by laser

Korczak, Anna; Mucha, Waldemar (Editorial Universitat Politècnica de València, 2022-05-11)

[EN] The presented article deals with inverse problems in nanoscale heat transfer identification problems [1]. Heat flow in solids can be modelled using various models. When dealing with objects of small dimensions, of the ...
Reducing computational time for FEM postprocessing through the use of feedforward neural networks

Zlatić, Martin; Čanađija, Marko (Editorial Universitat Politècnica de València, 2022-05-11)

[EN] With the recent surge in neural network usage, machine learning libraries have become more convenient to use and implement. In this paper we investigate the possibility of using neural networks in order to faster ...
A vibroacoustic model of the stationary railway wheel for sound radiation prediction through an axisymmetric approach

Andrés Ruiz, Víctor; Martínez Casas, José; Carballeira Morado, Javier; Denia Guzmán, Francisco (Editorial Universitat Politècnica de València, 2022-05-11)

[EN] In the literature, different dynamic models of the railway wheel have been developed to predict its sound radiation; however, there are still certain aspects that can be improved. Specifically, the high computational ...
An adaptive discrete Newton method for regularization-free Bingham model

Fatima, Arooj; Turek, Stefan; Ouazzi, Abderrahim; Afaq, Muhammad Aaqib (Editorial Universitat Politècnica de València, 2022-05-11)

[EN] Developing a numerical and algorithmic tool which correctly identifies unyielded regions in yield stress fluid flow is a challenging task. Two approaches are commonly used to handle the singular behaviour at the ...