Engineering Mechanics

Proceedings Vol. 29 (2023)

ENGINEERING MECHANICS 2023

29th INTERNATIONAL CONFERENCE
May 9 – 11, 2023, Milovy, Czech Republic

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Editors: Vojtěch Radolf and Igor Zolotarev

ISBN 978-80-87012-84-0 (printed)
ISBN 978-80-87012-84-0 (electronic)
ISSN 1805-8248 (printed)
ISSN 1805-8256 (electronic)

list of papers scientific commitee

Deep learning methods for the acoustic emission methods to evaluate an onset of plastic straining

Parma S., Kovanda M., Chlada M., Štefan J., Kober J., Feigenbaum H.P., Plešek J.
pages 187 - 190, full text

Development of phenomenological plasticity models, hardening rules, and plasticity theories relies on experimental data of plastic straining. The experimental data are usually measured as the stress–strain response of the material being loaded and do not provide any clues or information about the local response of material. In this paper, we analyze the plastic deformation of the material using the acoustic emission method and current state-of-the-art neural network models such as the InceptionTime architecture.

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Ownership of copyright in original research articles remains with the Authors, and provided that, when reproducing parts of the contribution, the Authors acknowledge and/or reference the Proceedings, the Authors do not need to seek permission for re-use of their material.

All papers were reviewed by members of the scientific committee.

Engineering Mechanics

International Conference

Proceedings Vol. 29 (2023)

ENGINEERING MECHANICS 2023