PT Journal
AU Shepitko, T
   Shepitko, E
   Afanasev, V
TI Computer Simulation Models for Consideration of Seasonal Trends Influence on the Structural Dynamics of Bridges
SO Communications - Scientific Letters of the University of Zilina
PY 2019
BP 75
EP 80
VL 21
IS 2
DI 10.26552/com.C.2019.2.75-80
WP https://komunikacie.uniza.sk/artkey/csl-201902-0011.php
DE computer simulation; seasonality elimination; structural health monitoring; time series; forecast; SHM; ARIMA; recurrent neural network
SN 13354205
AB 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.
ER