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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
Author(s): , , ,
Presented at IABSE Symposium: Long Span Bridges, Istanbul, Turkey, 26-28 April 2023, published in , 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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Bibliographic Details

Author(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)
Medium: conference paper
Language(s): English
Conference: IABSE Symposium: Long Span Bridges, Istanbul, Turkey, 26-28 April 2023
Published in:
Page(s): 175-181 Total no. of pages: 7
Page(s): 175-181
Total no. of pages: 7
Year: 2023
DOI: 10.2749/istanbul.2023.0175
Abstract:

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.

Keywords:
stress displacement statistical analysis Weigh-In-Motion Trainloads

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