Long-term static and dynamic monitoring to failure scenarios assessment in steel truss railway bridges: A case study

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Título: Long-term static and dynamic monitoring to failure scenarios assessment in steel truss railway bridges: A case study
Autor/es: Torres, Benjamín | Poveda-Martínez, Pedro | Ivorra, Salvador | Estevan, Luis
Grupo/s de investigación o GITE: Grupo de Ensayo, Simulación y Modelización de Estructuras (GRESMES) | Acústica Aplicada
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Ingeniería Civil
Palabras clave: Long-term monitoring | Steel truss railway bridge | Vertical deflection | Modal frequency | Failure detection
Fecha de publicación: 29-jun-2023
Editor: Elsevier
Cita bibliográfica: Engineering Failure Analysis. 2023, 152: 107435. https://doi.org/10.1016/j.engfailanal.2023.107435
Resumen: The latest studies on failures in steel truss-type bridge found that they are highly vulnerable to damage and thus prone to potential local or total collapse. Many authors recommend monitoring the critical elements in the existing steel truss-type bridges in real time to anticipate any failures in local members. Although mechanical strain is the most frequently used variable for this purpose, this method also happens to be the most expensive monitoring strategy. This paper describes a case study of failure scenarios assessment in a steel truss-type railway bridge after extensive long-term monitoring conducted by the authors, based on measuring vertical deflections and modal frequencies. The structure has both an isostatic and a hyperstatic configuration, and was assessed by means of a combination of: (i) long-term monitoring results, and (ii) a finite element analysis to simulate several failure scenarios. A sensitivity study of the different failure scenarios has been carried out, identifying those that can be detected. The results are used to define practical recommendations for failure detection by measuring vertical deflections and modal frequencies.
URI: http://hdl.handle.net/10045/135632
ISSN: 1350-6307 (Print) | 1873-1961 (Online)
DOI: 10.1016/j.engfailanal.2023.107435
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.1016/j.engfailanal.2023.107435
Aparece en las colecciones:INV - Acústica Aplicada - Artículos de Revistas
INV - GRESMES - Artículos de Revistas

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