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Detection of trainloads of suspension bridges with bridge responses: a comparative study using displacement and stress

 Detection of trainloads of suspension bridges with bridge responses: a comparative study using displacement and stress
Auteur(s): , , ,
Présenté pendant IABSE Symposium: Long Span Bridges, Istanbul, Turkey, 26-28 April 2023, publié dans , pp. 175-181
DOI: 10.2749/istanbul.2023.0175
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Trainloads play an essential role in the fatigue life of railway bridges as they cause important repetitive stress cycles at critical locations. Therefore, estimating such loads is relevant for pre...
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Détails bibliographiques

Auteur(s): (Construct-ViBest, FEUP, University of Porto Porto, Portugal)
(Construct-ViBest, FEUP, University of Porto Porto, Portugal)
(Construct-ViBest, FEUP, University of Porto Porto, Portugal)
(LNEC, National Laboratory for Civil Engineering Lisbon, Portugal)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Symposium: Long Span Bridges, Istanbul, Turkey, 26-28 April 2023
Publié dans:
Page(s): 175-181 Nombre total de pages (du PDF): 7
Page(s): 175-181
Nombre total de pages (du PDF): 7
Année: 2023
DOI: 10.2749/istanbul.2023.0175
Abstrait:

Trainloads play an essential role in the fatigue life of railway bridges as they cause important repetitive stress cycles at critical locations. Therefore, estimating such loads is relevant for preventive maintenance plans. This paper investigates an approach to detect trainloads using responses of the bridge, such as displacement and stress. Firstly, the temperature-response correlation is investigated to assess the influence of possible effects on the detection. Secondly, two response characteristics are proposed to detect trainloads: amplitude and duration. Statistical analysis of the two characteristics is then conducted to get the statistical distributions for both displacement and stress responses. Thirdly, a multi-step detection procedure is applied to detect the trainloads. A road-rail suspension bridge is introduced as the case study, which monitoring system includes sensors for temperature, displacement, stress, and a train weigh-in-motion (WIM) system. The study of trainload detection in this paper can provide guidance for the predictive maintenance of bridges to avoid premature damage.

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