Sensitivity of predicted bridge traffic load effects to the tails of truck weight distributions

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Title: Sensitivity of predicted bridge traffic load effects to the tails of truck weight distributions
Authors: Getachew, AbrahamO'Brien, Eugene J.
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Date: 13-Apr-2005
Online since: 2018-02-14T18:57:34Z
Abstract: In the last two decades, simulations have been used to predict the characteristic traffic load effects on bridges using Weigh-In-Motion (WIM) data. The recorded Gross Vehicle Weight (GVW) is usually modelled by multimodal distributions. The parameters for these distributions are generally obtained by using different goodness-of-fit tests where the entire recorded data is considered. These parameters are then used as the basis for the simulations. In this work, the sensitivity of the predicted traffic load effects to these fittings is investigated. Generally, moment at mid-span for different return periods can be determined from simulations based on three different assumptions. The first approach is to use empirical distribution functions, i.e., direct simulations using the recorded GVW data. The second approach is to use parametric distribution functions to represent GVW from the recorded data. In the third approach, developed here, semi-parametric distribution functions are used to model the distributions of GVW. From these, load effects corresponding to different return periods are calculated and compared. The results are shown to be highly sensitive to the assumption adopted.
Type of material: Conference Publication
Publisher: Thomas Telford
Keywords: BridgeTrafficLoad effectWeigh-in-motionSimulationTailSemi-parametric
DOI: 10.1680/bmf.33542.0035
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Language: en
Status of Item: Peer reviewed
Is part of: Parke, G.A.R., Disney, P. (eds.) Bridge management 5 : inspection, maintenance, assessment and repair : proceedings of the 5th International Conference on Bridge Management
Conference Details: Bridge management 5 : inspection, maintenance, assessment and repair, London, UK, 11-13 April 2005
ISBN: 9780727739063
Appears in Collections:Civil Engineering Research Collection

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