0
  • DE
  • EN
  • FR
  • Base de données et galerie internationale d'ouvrages d'art et du génie civil

Publicité

Bridge Surface Roughness Detection Based on Double-Vehicle-Double-Pass Technique

Bridge Surface Roughness Detection Based on Double-Vehicle-Double-Pass Technique
Auteur(s): ,
Présenté pendant IABSE Conference: Engineering the Past, to Meet the Needs of the Future, Copenhagen, Denmark, 25-27 June 2018, publié dans , pp. 385-392
DOI: 10.2749/copenhagen.2018.385
Prix: € 25,00 incl. TVA pour document PDF  
AJOUTER AU PANIER
Télécharger l'aperçu (fichier PDF) 0.16 MB
Bridge surface roughness encompasses dents, cracks, bulges and other defects due to construction as well as wear and tear in service. It significantly affects the traffic load on bridge, costs extra...
Lire plus

Détails bibliographiques

Auteur(s): (The University of Hong Kong, Hong Kong, China)
(The University of Hong Kong, Hong Kong, China)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Conference: Engineering the Past, to Meet the Needs of the Future, Copenhagen, Denmark, 25-27 June 2018
Publié dans:
Page(s): 385-392 Nombre total de pages (du PDF): 8
Page(s): 385-392
Nombre total de pages (du PDF): 8
DOI: 10.2749/copenhagen.2018.385
Abstrait: Bridge surface roughness encompasses dents, cracks, bulges and other defects due to construction as well as wear and tear in service. It significantly affects the traffic load on bridge, costs extra vehicle fuel consumption and tire wear, and therefore is a major concern of bridge monitoring and maintenance. As it considerably affects the contact force between the vehicle and the bridge, it is also a major obstacle of using vehicle measured data to identify bridge parameters. This paper presents a method to estimate the surface roughness profile of a bridge. With the acceleration data gathered from two different vehicles running on the bridge successively at the same speed, the roughness profile of the bridge can be measured with satisfactory accuracy. The method is verified with finite element simulation.