Title: | Creep assessment in hyperelastic material by 3D neural network reconstructor using bulge testing |
Authors: | Capizzi, G. Lo Savio, F. La Rosa, G. Lo Sciuto, G. |
Citation: | CPEE – AMTEE 2015: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineering: 6th – 8th September 2015 Třebíč, Czech Republic, p. IV-4. |
Issue Date: | 2015 |
Publisher: | Západočeská univerzita v Plzni |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://cpee.zcu.cz/AMTEE/ArchivedProceedings.aspx http://hdl.handle.net/11025/25746 |
ISBN: | 978-80-261-0527-5 |
Keywords: | bulge test;rekonstrukce 3D obrazu;neuronové sítě;hyperelastické materiály |
Keywords in different language: | bulge test;3D image reconstruction;neural networks;hyperelastic materials |
Abstract in different language: | In this paper is presented a new methodology based on Neural Network which, making use of the Bulge Testing able to reconstruct the three-dimensional dome of the bulge test and also to obtain the membrane stress and strain fields of the material under investigation. |
Rights: | © University of West Bohemia |
Appears in Collections: | CPEE – AMTEE 2015 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Capizzi.pdf | Plný text | 1,01 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/25746
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