Computer Simulation Models for Consideration of Seasonal Trends Influence on the Structural Dynamics of Bridges

https://doi.org/10.26552/com.C.2019.2.75-80

  • Taisiya V. Shepitko
  • Elena S. Shepitko
  • Vladimir S. Afanasev
DOI: https://doi.org/10.26552/com.C.2019.2.75-80
Keywords: computer simulation, seasonality elimination, structural health monitoring, time series, forecast, SHM, ARIMA, recurrent neural network

Abstract

Elimination of seasonality temperature trends in a structural health monitoring of bridges is considered in the article. On example of a beam bridge, eigenfrequencies are plotted against seasonal fluctuations of environmental temperature. Next, analysis of a time series, formed from a data of frequency changes in the bridge, was made. To describe the time series, two different methods were implemented: ARIMA model based on a statistical relationship between the data and LSTM model of a recurrent neural network.

Author Biographies

Taisiya V. Shepitko

Institute of the Railway Track, Construction and Structure, Russian University of Transport (MIIT), Moscow, Russia

Elena S. Shepitko

Institute of the Railway Track, Construction and Structure, Russian University of Transport (MIIT), Moscow, Russia

Vladimir S. Afanasev

Institute of the Railway Track, Construction and Structure, Russian University of Transport (MIIT), Moscow, Russia

Published
2019-05-24
How to Cite
Taisiya V. Shepitko, Elena S. Shepitko, & Vladimir S. Afanasev. (2019). Computer Simulation Models for Consideration of Seasonal Trends Influence on the Structural Dynamics of Bridges. Communications - Scientific Letters of the University of Zilina, 21(2), 75-80. https://doi.org/10.26552/com.C.2019.2.75-80
Issue
Vol 21 No 2 (2019)
Section
Civil Engineering in Transport