Validation of Scenario Modelling for Bridge Loading

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Title: Validation of Scenario Modelling for Bridge Loading
Authors: O'Brien, Eugene J.
Leahy, Cathal
Enright, Bernard
Caprani, Colin C.
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Date: Sep-2016
Online since: 2018-02-22T17:04:44Z
Abstract: Accurate estimates of characteristic bridge load effects are required for efficient design and assessment of bridges, and long-run traffic simulations are an effective method for estimating the effects. For multi-lane same-direction traffic, truck weights and locations on the bridge are correlated and this affects the calculated load effects. Scenario Modelling is a recently developed method which uses weigh-in-motion (WIM) data to simulate multi-lane same-direction traffic while maintaining location and weight correlations. It has been unclear however whether the method may produce unrealistic driver behaviour when extrapolating beyond the weigh-in-motion measuring period. As weigh-in-motion databases with more than about a year of data are not available, a microsimulation traffic model, which can simulate driver behaviour, is used here to assess the accuracy of extrapolating traffic effects using Scenario Modelling. The microsimulation is used to generate an extended reference dataset against which the results of Scenario Modelling are compared. It is found that the characteristic load effects obtained using Scenario Modelling compare well with the reference dataset. As a result, for the first time researchers and practitioners can model two-lane same-direction traffic loading on bridges while being confident that the approach is generating accurate estimates of characteristic load effects as well as effectively reproducing the complex traffic correlations involved.
Type of material: Journal Article
Publisher: Technika, Vilnius Gediminas Technical University
Journal: The Baltic Journal of Road and Bridge Engineering
Volume: 11
Issue: 3
Start page: 233
End page: 241
Keywords: BridgesHighwayLoadsScenario modellingTrafficTrucks
DOI: 10.3846/bjrbe.2016.27
Language: en
Status of Item: Peer reviewed
Appears in Collections:Civil Engineering Research Collection

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