Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

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Pliability Identification of Elastic Support for Elastic Cantilevered Rod Based on Eigenfrequencies of its Oscillations

Authors
Vladimir Zhernakov, Victor Pavlov, Vilina Kudoyarova, Liliya Nusratullina
Corresponding Author
Vladimir Zhernakov
Available Online December 2019.
DOI
10.2991/csit-19.2019.53How to use a DOI?
Keywords
Splines, mathematical modelling, rod vibrations
Abstract

Currently, modern turbomachines, for example, aircraft gas turbine engines are equipped with highly intelligent automated monitoring and control systems, including a large number of sensors that control various parameters of the product being operated. In particular, there are sensors that monitor the oscillation frequencies of the most critical structural elements. This paper estimates the ability to determine the support stiffness of a cantilever rod under the two first eigenfrequencies of its oscillations. A similar problem arises in the non-destructive testing of the axial compressor blade root of a gas turbine engine when a certain decision of its further operation possibility or changing its operation mode is can be made on the basis of the blade oscillation eigenfrequencies spectrum. As a result of the implementation of the paper proposed method it was obtained that the identification error does not go beyond 28%, which is quite acceptable for assessing the technical condition of the support in the engine corresponding to the range of existing engines.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
Series
Atlantis Highlights in Computer Sciences
Publication Date
December 2019
ISBN
10.2991/csit-19.2019.53
ISSN
2589-4900
DOI
10.2991/csit-19.2019.53How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Vladimir Zhernakov
AU  - Victor Pavlov
AU  - Vilina Kudoyarova
AU  - Liliya Nusratullina
PY  - 2019/12
DA  - 2019/12
TI  - Pliability Identification of Elastic Support  for Elastic Cantilevered Rod Based on Eigenfrequencies of its Oscillations
BT  - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
PB  - Atlantis Press
SP  - 303
EP  - 309
SN  - 2589-4900
UR  - https://doi.org/10.2991/csit-19.2019.53
DO  - 10.2991/csit-19.2019.53
ID  - Zhernakov2019/12
ER  -