Analytical fault tree and diagnostic aids for the preservation of historical steel truss bridges

Autor: Valentino Sangiorgio, Andrea Nettis, Giuseppina Uva, Francesco Pellegrino, Humberto Varum, Jose M. Adam
Rok vydání: 2022
Předmět:
Zdroj: Engineering Failure Analysis. 133:105996
ISSN: 1350-6307
Popis: [EN] Historical steel bridges represent an important construction typology integrating the constructive heritage of the past century that needs to be preserved. Exposure to fatigue phenomenon, aging, improper design or execution, extreme events, and other aggressive environmental agents can seriously compromise the conservation and performance of these structures as some recent catastrophic collapses have shown (Mississippi River bridge, Minneapolis, Minnesota 2007; Kinzua Bridge State Park, Pennsylvania 2003). In this context, the diagnostic of historical steel bridges becomes of basic importance to identify and implement maintenance, monitoring and conservation strategies. Fault Trees are useful tools for practitioners that provide a complete overview of possible failures. In the related literature, this instrument is mainly applied with approaches that are based on previous experience or failures detected in similar structures, and so the Fault Tree can only provide qualitative support. This paper proposes a new method to achieve an "Analytical" Bridge Fault Tree linking the technician's experience and the numerical simulations of different fault scenarios. The latter are achieved by a numerical model able to consider fatigue failure and different concurring causes in the analysis (e.g., and aggressive phenomena, corrosion, defects, lack of maintenance). The proposed approach was applied to a historical railway steel truss bridge located in the East of Spain (Valencia Region) in order to show its applicability and potential.
The research project described here was partially funded by the Generalitat Valenciana "Conselleria de Innovacion, Universidades, Ciencia y Sociedad Digital" through the European Social Fund (FSE) for Regional Development. The second author was financially supported by an Industrial PhD research program (PON-RI 2014-2020) sponsored by the Italian Ministry of Universities and Research (DOT130UZWT) . We would like to express our gratitude to FGV (Ferrocarrils de la Generalitat Valenciana) and CALSENS S.L. for providing data on a real bridge, also to Juan Antonio Garcia Cerezo, of FGV, for his invaluable cooperation and recommendations.
Databáze: OpenAIRE
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