Conference Proceedings


Anthony T. Dempsey
Bernard Enright
Eugene J. O'Brien



lifetime maximum load kernel density estimators influence monte carlo simulation traffic loads traffic loading bridge loads load effects

The Influence of Correclation on the Extreme Traffic Loading of Bridges (2010)

Abstract Accurate traffic loading models based on measured data are essential for the accurate assessmentof existing bridges. There are well-established methods for the Monte Carlo simulation of single lanesof traffic, and this can easily be extended to model the loading on bridges with two independent streams oftraffic in opposing directions. However, a typical highway bridge will have multiple lanes in the same direction,and various types of correlation are evident in measured traffic. This paper analyses traffic patterns usingmulti-lane WIM data collected at two European sites. It describes an approach to the Monte Carlo simulationof this traffic which applies variable bandwidth kernel density estimators to empirical traffic patterns of vehicleweights, gaps and speeds. This method provides a good match with measured data for multi-truck bridgeloading events, and it is shown that correlation has a small but significant effect on lifetime maximum load effects.
Collections 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

Anthony T. Dempsey, Bernard Enright, Eugene J. O'Brien

Experts in our system

Bernard Enright
University College Dublin
Total Publications: 39
Eugene J. O'Brien
University College Dublin
Total Publications: 192