The Influence of Correclation on the Extreme Traffic Loading of Bridges
|Title:||The Influence of Correclation on the Extreme Traffic Loading of Bridges||Authors:||O'Brien, Eugene J.
Dempsey, Anthony T.
|Permanent link:||http://hdl.handle.net/10197/4071||Date:||2010||Abstract:||Accurate traffic loading models based on measured data are essential for the accurate assessment of existing bridges. There are well-established methods for the Monte Carlo simulation of single lanes of traffic, and this can easily be extended to model the loading on bridges with two independent streams of traffic 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 using multi-lane WIM data collected at two European sites. It describes an approach to the Monte Carlo simulation of this traffic which applies variable bandwidth kernel density estimators to empirical traffic patterns of vehicle weights, gaps and speeds. This method provides a good match with measured data for multi-truck bridge loading events, and it is shown that correlation has a small but significant effect on lifetime maximum load effects.||Type of material:||Conference Publication||Publisher:||CRC Press||Copyright (published version):||2012, Taylor and Francis Group||Keywords:||Traffic loads; Monte Carlo simulation; Bridge loads||Language:||en||Status of Item:||Not peer reviewed||Is part of:||D.M. Frangopol, R. Sause & C.S. Kusko (eds.). Bridge Maintenance, Safety Management and Life-Cycle Optimization||Conference Details:||Bridge Maintenance, Safety and Management (IABMAS'10) the Fifth International IABMAS Conference, Philadelphia, USA, 11-15 July 2010||ISBN:||9780415621243|
|Appears in Collections:||Civil Engineering Research Collection|
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