Options
The Effect of Traffic Growth on Characteristic Bridge Load Effects
Author(s)
Date Issued
2016-06-27
Date Available
2017-12-21T13:41:16Z
Abstract
Freight traffic in the European Union is increasing with time. This paper describes a method for considering this growth when assessing traffic loading on bridges and examines the effect of this growth on characteristic load effects. The Eurocode Load Model 1 is used for the design of new bridges. As this model can be overly conservative for the assessment of existing bridges, a scaled down version can be used by applying a–factors to the load model. This is usually done by modelling the traffic loading on the bridge using site-specific weigh-in-motion data and calculating the a–factors in accordance with the results. In this paper, weigh-in-motion data from a site in the Netherlands is used to demonstrate the proposed approach. 40-year simulations of traffic loading are performed on various bridges. The simulations consider year-on-year growth in both the volume and weight of trucks. Time-varying generalized extreme value distributions are then fitted to the simulated data and used to calculate the characteristic load effects. The results are then compared with the load effects generated by Load Model 1 in order to calculate the associated factors. It is found that an increase in truck weights has the most significant influence on the factors but that increased flow also has a significant effect.
Other Sponsorship
National road administrations of Denmark, Germany, Ireland, Netherlands, UK and Slovenia
Type of Material
Conference Publication
Publisher
Elsevier
Copyright (Published Version)
2016 the Authors
Language
English
Status of Item
Peer reviewed
Journal
Transportation Research Procedia, Transport Research Arena TRA2016
Conference Details
The 6th European Transport Research Conference. Moving Forward: Innovative Solutions for Tomorrow's Mobility, Warsaw, Poland, 18-21 April 2016
This item is made available under a Creative Commons License
File(s)
Loading...
Name
c_178.pdf
Size
1.33 MB
Format
Adobe PDF
Checksum (MD5)
81d4c3008fb0be3ee6fe79425d3e7f2f
Owning collection