Critical speed for the dynamics of truck events on bridges with a smooth road surface

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Title: Critical speed for the dynamics of truck events on bridges with a smooth road surface
Authors: González, Arturo
O'Brien, Eugene J.
Cantero, Daniel
Li, Yingyan
Dowling, Jason
Znidaric, Ales
Permanent link: http://hdl.handle.net/10197/2138
Date: 24-May-2010
Abstract: Simple numerical models of point loads are used to represent single and multiple vehicle events on two-lane bridges with a good road profile. While such models are insufficiently complex to calculate dynamic amplification accurately, they are presented here to provide an understanding of the influence of speed and distance between vehicles on the bridge dynamic response. Critical combinations of speed as a function of main bridge natural frequency and meeting point of two vehicles travelling in opposite directions are identified. It is proposed that such simple models can be used to estimate the pattern of critical speeds versus dynamic amplification for heavy trucks on a bridge with a relatively smooth surface. The crossing of a three-dimensional spring-dashpot truck is simulated over a bridge plate model to test this hypothesis for a range of road roughness. Further validation is carried out using the site-specific mean pattern associated to field measurements due to the passage of a truck population. The latter is found to be closely resembled by the theoretical pattern derived from simple point load models.
Funding Details: Other funder
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): Copyright 2010 Elsevier Ltd
Keywords: Highway bridgesBridge loadsStructural dynamicsTraffic speedDynamic amplification
Subject LCSH: Bridges--Live loads--Mathematical models
Structural dynamics
Traffic speed
DOI: 10.1016/j.jsv.2010.01.002
Other versions: http://dx.doi.org/10.1016/j.jsv.2010.01.002
Language: en
Status of Item: Peer reviewed
Appears in Collections:Critical Infrastructure Group Research Collection
Civil Engineering Research Collection

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