Modelling of highway bridge traffic loading: Some recent advances

Bernard Enright, Colin Christopher Caprani, Eugene John O'Brien

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Abstract

The accurate estimation of site-specific lifetime extreme traffic load effects is an important element in the cost-effective assessment of bridges. In recent years, the improved quality and increasing use of weigh-in-motion technology has resulted in better quality and larger databases of vehicle weights. This has enabled measurements of the regular occurrence of extremely heavy vehicles, with weights in excess of 100 t. The collected measurements have been used as the basis for building and calibrating a Monte Carlo simulation model for bridge loading. The computer programs written to implement this model generate simulated traffic in two lanes-for both the same direction and the bidirectional cases-and calculate load effects for bridges of various spans. The research focuses on free-flowing traffic on short to medium-span bridges. This paper summarizes recent advances and their contribution to the highway bridge traffic loading problem.

Original languageEnglish
Title of host publicationApplications of Statistics and Probability in Civil Engineering
Subtitle of host publicationProceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
EditorsM H Faber, J Kohler, K Nishijima
Place of PublicationLeiden The Netherlands
PublisherCRC Press
Pages397-405
Number of pages9
ISBN (Print)9780415669863
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on Applications of Statistics and Probability in Civil Engineering 2011 - Zurich, Switzerland
Duration: 1 Aug 20114 Aug 2011
Conference number: 11th
https://www.crcpress.com/Applications-of-Statistics-and-Probability-in-Civil-Engineering/Faber-Koehler-Nishijima/p/book/9780415669863

Conference

ConferenceInternational Conference on Applications of Statistics and Probability in Civil Engineering 2011
Abbreviated titleICASP 2011
CountrySwitzerland
CityZurich
Period1/08/114/08/11
Internet address

Cite this