| Issue |
MATEC Web Conf.
Volume 157, 2018
Machine Modelling and Simulations 2017 (MMS 2017)
|
|
|---|---|---|
| Article Number | 05008 | |
| Number of page(s) | 8 | |
| Section | Experimental mechanics, identification and validation | |
| DOI | https://doi.org/10.1051/matecconf/201815705008 | |
| Published online | 14 March 2018 | |
A new accelerated technique for validation of cyclic plasticity models
1
IT4Innovations, VŠB - Technical University of Ostrava, 17. listopadu 2172/15, 708 33 Ostrava-Poruba, Czech Republic
2
Faculty of Mechanical Engineering, VŠB - Technical University of Ostrava, 17. listopadu 2172/15, 708 33 Ostrava-Poruba, Czech Republic
3
Integrity and Technical Engineering Division, Újv Řež a. s., Hlavní 130, 250 68 Husinec - Řež, Czech Republic
* Corresponding author: radim.halama@vsb.cz
This contribution presents a new methodology of fatigue tests evaluation based on digital image correlation application. The full-field strain analysis brings the possibility of 3D strain measurement evaluation on a curved part of specimen standardly used under axial-torsional loading. Resulting strain response curves can subsequently serve for evaluation of cyclic plasticity model predictions. The crucial idea is the way of FE model creation to can evaluate simulation in the same points of the structure as in the DIC measurement. The new methodology saves amount of material and leads to a shorter experimental time.
Key words: digital image correlation / ratcheting / cyclic plasticity / fatigue testing
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.