TY - JOUR
T1 - Diagnostics of historical steel bridges
T2 - 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2021
AU - Sangiorgio, Valentino
AU - Nettis, Andrea
AU - Uva, Giuseppina
AU - García-Cerezo, Juan A.
AU - Calderón, Pedro A.
AU - Varum, Humberto
AU - Adam, Jose M.
N1 - Publisher Copyright:
© 2021 COMPDYN Proceedings.
PY - 2021
Y1 - 2021
N2 - Exposure to aggressive environmental agents, aging and extreme weather events can seriously affect the performance of historical steel bridges. In the last decades, the need for diagnostic and monitoring of existing steel bridges became a huge widespread issue, as some recent catastrophic events pointed out (Mississippi River bridge, Minneapolis, Minnesota 2017; Kinzua Bridge State Park, Pennsylvania 2003). In this context, the need for monitoring and risk analysis of existing structures became an important concern for holders and administrators that are responsible for the construction operability and user safety. In particular, the issue of bridge inspections recently arose in the Valencian region (Spain) since a large number of railway riveted steel bridges were built between the end of the19th and the beginning of the 20th Century. Today, after more than 100 years of existence, many bridges need repairing or strengthening interventions due to changes in service requirements or pathologies. This paper proposes a methodology for the identification of an analytical failure tree related to the structural response of the historical steel bridges located in the Valencian railroad network considering different critical phenomena and extreme events. Firstly, a suitable investigation plan has been developed to identify the typological, geometric, material and conservation characteristics of a case study. Subsequently, specific diagnostics (i.e. identification of the critical elements under traffic loads) is performed through a numerical model of the bridge calibrated by using the results of on-site static and dynamic tests. Once the critical elements are identified, some failure scenarios considering corrosion, fatigue and extreme events (e.g. earthquakes) are hypothesized in order to forecast consequence scenarios and achieve a failure tree of the bridge.
AB - Exposure to aggressive environmental agents, aging and extreme weather events can seriously affect the performance of historical steel bridges. In the last decades, the need for diagnostic and monitoring of existing steel bridges became a huge widespread issue, as some recent catastrophic events pointed out (Mississippi River bridge, Minneapolis, Minnesota 2017; Kinzua Bridge State Park, Pennsylvania 2003). In this context, the need for monitoring and risk analysis of existing structures became an important concern for holders and administrators that are responsible for the construction operability and user safety. In particular, the issue of bridge inspections recently arose in the Valencian region (Spain) since a large number of railway riveted steel bridges were built between the end of the19th and the beginning of the 20th Century. Today, after more than 100 years of existence, many bridges need repairing or strengthening interventions due to changes in service requirements or pathologies. This paper proposes a methodology for the identification of an analytical failure tree related to the structural response of the historical steel bridges located in the Valencian railroad network considering different critical phenomena and extreme events. Firstly, a suitable investigation plan has been developed to identify the typological, geometric, material and conservation characteristics of a case study. Subsequently, specific diagnostics (i.e. identification of the critical elements under traffic loads) is performed through a numerical model of the bridge calibrated by using the results of on-site static and dynamic tests. Once the critical elements are identified, some failure scenarios considering corrosion, fatigue and extreme events (e.g. earthquakes) are hypothesized in order to forecast consequence scenarios and achieve a failure tree of the bridge.
KW - Calibration
KW - Diagnostics
KW - Failure tree
KW - Historical steel bridges
KW - On-site test
UR - http://www.scopus.com/inward/record.url?scp=85120817114&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85120817114
SN - 2623-3347
VL - 2021-June
JO - COMPDYN Proceedings
JF - COMPDYN Proceedings
Y2 - 28 June 2021 through 30 June 2021
ER -