Conference Proceedings


E. J. O'Brien
Colin C. Caprani



engineering civil engineering predictive likelihood load effects statistics traffic bridge traffic load

Statistical Computation for Extreme Bridge Traffic Load Effects (2006)

Abstract The maintenance of highway infrastructure constitutes a major expenditure in many countries. This cost can be reduced significantly by minimizing the repair or replacement of highway bridges. In the assessment of existing bridges, the strength estimate tends to be more accurate than that of traffic loading, due to the more variable nature of loading. Recent advances in the statistical analysis of highway bridge traffic loading have resulted in more accurate forecasts of the actual loading to which a bridge is subject. While these advances require extensive numerical computation, they can significantly improve the accuracy of the calculation. This paper outlines the recent advances and describes the associated computational aspects in detail.
Collections Ireland -> Dublin Institute of Technology -> College of Engineering and Built Environment
Ireland -> Dublin Institute of Technology -> Conference papers
Ireland -> Dublin Institute of Technology -> Colleges
Ireland -> Dublin Institute of Technology -> School of Civil and Structural Engineering
Ireland -> University College Dublin -> Civil Engineering Research Collection
Ireland -> University College Dublin -> College of Engineering & Architecture
Ireland -> University College Dublin -> School of Civil Engineering

Full list of authors on original publication

E. J. O'Brien, Colin C. Caprani

Experts in our system

Eugene J. O'Brien
University College Dublin
Total Publications: 192
Colin C. Caprani
University College Dublin
Total Publications: 42