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Dynamic analysis of a highway bridge beam under the passage of compound heavy trucks with multiple trailers.

Authors :
Metz, Diego Gabriel
Machado, Roberto Dalledone
Arndt, Marcos
Rossigali, Carlos Eduardo
Source :
Engineering Computations. 2024, Vol. 41 Issue 1, p18-45. 28p.
Publication Year :
2024

Abstract

Purpose: Realistic composite vehicles with 2, 3, 5 and 9 axles, consisting of a truck with one or two trailers, are addressed in this paper by computational models for vehicle–bridge interaction analysis. Design/methodology/approach: The vehicle–bridge interaction (VBI) models are formed by sets of 2-D rigid blocks interconnected by mass, damping and stiffness elements to simulate their suspension system. The passage of the vehicles is performed at different speeds. Several rolling surface profiles are admitted, considering the maintenance grade of the pavement. The spectral density functions are generated from an experimental database to form the longitudinal surface irregularity profiles. A computational code written in Phyton based on the finite element method was developed considering the Euler–Bernoulli beam model. Findings: Several models of composite heavy vehicles are presented as manufactured and currently travel on major roads. Dynamic amplification factors are presented for each type of composite vehicle. Research limitations/implications: The VBI models for compound heavy vehicles are 2-D. Social implications: This work contributes to improving the safety and lifetime of the bridges, as well as the stability and comfort of the vehicles when passing over a bridge. Originality/value: The structural response of the bridge is affected by the type and size of the compound vehicles, their speed and the conservative grade of the pavement. Moreover, one axle produces vibrations that can be superposed by the vibrations of the other axles. This effect can generate not usual dynamic responses. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02644401
Volume :
41
Issue :
1
Database :
Academic Search Index
Journal :
Engineering Computations
Publication Type :
Academic Journal
Accession number :
175802353
Full Text :
https://doi.org/10.1108/EC-10-2022-0641