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Condition Monitoring of Railway Bridges Using Vehicle Pitch to Detect Scour.
McGeown, Claire; Hester, David; OBrien, Eugene J; Kim, Chul-Woo; Fitzgerald, Paul; Pakrashi, Vikram.
Afiliación
  • McGeown C; School of Civil Engineering, University College Dublin, D04 V1W8 Dublin, Ireland.
  • Hester D; School of Natural and Built Environment, Queen's University Belfast, Belfast BT9 5AJ, UK.
  • OBrien EJ; School of Civil Engineering, University College Dublin, D04 V1W8 Dublin, Ireland.
  • Kim CW; Department of Civil and Earth Resources Engineering, Kyoto University, Kyoto 615 8540, Japan.
  • Fitzgerald P; School of Civil Engineering, University College Dublin, D04 V1W8 Dublin, Ireland.
  • Pakrashi V; UCD Centre for Mechanics, Dynamical Systems and Risk Laboratory, School of Mechanical and Materials Engineering, University College Dublin, D04 V1W8 Dublin, Ireland.
Sensors (Basel) ; 24(5)2024 Mar 05.
Article en En | MEDLINE | ID: mdl-38475220
ABSTRACT
This study proposes the new condition monitoring concept of using features in the measured rotation, or 'pitch' signal, of a crossing vehicle as an indicator of the presence of foundation scour in a bridge. The concept is explored through two-dimensional vehicle-bridge interaction modelling, with a reduction in stiffness under a pier used to represent the effects of scour. A train consisting of three 10-degree-of-freedom carriages cross the model on a profiled train track, each train varying slightly in terms of mass and velocity. An analysis of the pitch of the train carriages can clearly identify when scour is present. The concept is further tested in a scaled laboratory experiment consisting of a tractor-trailer crossing a four-span simply supported bridge on piers. The foundation support is represented by four springs under each pier, which can be replaced with springs of a reduced stiffness to mimic the effect of scour. The laboratory model also consistently shows a divergence in vehicle pitch between healthy and scoured bridge states.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Irlanda

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Irlanda