Estimating bridge performance using time series analysis

Concrete compression strength of the under-constructing bridges is one of the most important quality characteristics. Forecasting concrete compression strength for particular bridge components can be regarded a time-series modelling problem in which one wishes to estimate bridge performance based on a series of historical or current observations at time intervals of interest. Time series models provide powerful forecasting capability to discover useful bridge-maintenance decision-making information such as trend and seasonality. Autoregressive Integrated Moving Average (ARIMA), a parametric modelling approach to time series is a well suited for application to short-term condition forecasting. This paper employs ARIMA to address performance prediction for under-constructing highway bridges. The results demonstrate the capability of the model.