| Issue |
MATEC Web Conf.
Volume 212, 2018
2018 International Scientific Conference “Investment, Construction, Real Estate: New Technologies and Special-Purpose Development Priorities” (ICRE 2018)
|
|
|---|---|---|
| Article Number | 01021 | |
| Number of page(s) | 8 | |
| Section | New materials, Structures and Technologies for Construction in Specific Conditions of Siberia and the Far East | |
| DOI | https://doi.org/10.1051/matecconf/201821201021 | |
| Published online | 15 October 2018 | |
Applying models of spatial interpolation for the approximation of responses in the refinement of parameters of finite element models
1
Irkutsk National Research Technical University, 664074, Lermontova str., 83, Irkutsk, Russia
2
Irkutsk State University of Communications, 664074, Chernyshevsky str., 15, Irkutsk, Russia
* Corresponding author: zav1692@mail.ru
The numerical experiment on refining the parameters of the finite element model of the beam by the method of approximating the responses is presented in the article. As mathematical models of joint-stock companies are used: linear combinations of radial-basis functions, and Kriging-models. These models are generated in the work on the basis of Latin squares and depend on the parameters to be refined (the moduli of elasticity of finite element groups of the beam). To obtain optimal values of the parameters, a genetic optimization method was used. The results of solving the optimization problem showed a high level of coincidence of the parameter values with a combination of response models obtained from dynamic and static types of calculations. It was also shown that when solving the problems of finite element models, it is sufficient to use models constructed only on the basis of radial-basis functions.
© 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 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.