Computer Simulation Models for Consideration of Seasonal Trends Influence on the Structural Dynamics of Bridges
Computer Simulation Models for Consideration of Seasonal Trends Influence on the Structural Dynamics of Bridges
Author(s): Taisiya V. Shepitko, Elena S. Shepitko, Vladimir AfanasevSubject(s): ICT Information and Communications Technologies, Transport / Logistics
Published by: Žilinská univerzita v Žilině
Keywords: computer simulation; seasonality elimination; structural health monitoring; time series; forecast; SHM; ARIMA; recurrent neural network;
Summary/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.
Journal: Komunikácie - vedecké listy Žilinskej univerzity v Žiline
- Issue Year: 21/2019
- Issue No: 2
- Page Range: 75-80
- Page Count: 6
- Language: English
