Estimating bridge performance using time series analysis

Nang-Fei Pan, H. H. Chang, T. C. Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Engineering Computational Technology
Publication statusPublished - 2008 Dec 1
Event6th International Conference on Engineering Computational Technology, ECT 2008 - Athens, Greece
Duration: 2008 Sep 22008 Sep 5

Publication series

NameProceedings of the 6th International Conference on Engineering Computational Technology

Other

Other6th International Conference on Engineering Computational Technology, ECT 2008
CountryGreece
CityAthens
Period08-09-0208-09-05

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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