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

Sangiorgio, Valentino; Nettis, Andrea; Uva, Giuseppina; Pellegrino, Francesco; Varum, Humberto; Adam, José M.

doi:10.1016/j.engfailanal.2021.105996

Cited by 31 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main objective of this task is to identify initiating damages and initial failures that may propagate to other parts of the structure. These refer to basic events according to fault tree terminology [17]. Events whose prevention can result in significant cost savings for society should be prioritized.…”

Section: Identification Of Initiating Events Of Interestmentioning

confidence: 99%

Initiation and propagation of failures in steel truss bridges

López,

Makoond,

Sánchez‐Rodríguez

et al. 2023

ce papers

View full text Add to dashboard Cite

Bridge collapses are catastrophic events with countless consequences. However, bridge engineering has progressed thanks to the knowledge acquired analyzing collapsed structures. In this direction, modern forensic techniques allow detecting weaknesses and vulnerable zones in the structural systems. It has been demonstrated that the data related to bridge failures has been fundamental for engineers to propose and update theories, concepts, and designs in bridge engineering. This paper presents a methodology to analyze the initial damage and its propagation on steel truss bridges. The first part of the paper presents a comprehensive review of state‐of‐the‐art and scientific challenges. The methodology is described in detail in the second part of the paper; it comprises two main tasks that are further divided into several activities. This methodology was developed as part of the “Pont3” project and has proven to be of great value in gaining a better understanding of how progressive collapse occurs in steel truss bridges. By using this methodology, it is possible to detect initial damage and evaluate the structural behavior of steel truss bridges, which will ultimately lead to safer and more reliable structures.

show abstract

Section: Identification Of Initiating Events Of Interestmentioning

confidence: 99%

Initiation and propagation of failures in steel truss bridges

López,

Makoond,

Sánchez‐Rodríguez

et al. 2023

ce papers

View full text Add to dashboard Cite

show abstract

“…The load effect is a crucial factor for the fatigue lifespan of a structure, especially considering the joint effects of corrosion. To measure the effects of corrosion-induced degradation on the bridge load response, Sangiorgio [45] proposed fault trees based on the experience of technicians and numerical simulations of different failure scenarios and successfully applied them to a historic steel truss bridge. Bertolesi [46] conducted a dual experimental and analytical study on the fatigue performance of the Quisi and Ferrandet Bridges and investigated the load effect on the corrosion fatigue lifespan.…”

Section: Load Effect On Corrosion Fatigue Lifespanmentioning

confidence: 99%

Corrosion Fatigue Assessment of Bridge Cables Based on Equivalent Initial Flaw Size Model

Liu,

Guo,

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

Bridge cables under traffic loads are more prone to failure during the service life due to the corrosion–fatigue coupling effect. In this study, a novel lifespan model based on the equivalent initial flaw size (EIFS) theory is established to analyze the various stages of the lifespan of steel wires. Additionally, a comprehensive corrosion-fatigue lifespan calculation method for parallel steel wire cable is established based on the series–parallel model. A case study of the Runyang Suspension Bridge is conducted to evaluate the evolution of corrosion-fatigue damage in bridge cables during the service life. The results indicate that under the action of corrosion-fatigue, steel wires are more prone to crack initiation, and their fracture toughness is further reduced. In cases where the corrosion level is relatively low, the steel wires of the bridge cables experience no corrosion-fatigue fracture. When the steel wires have initial defects and are subject to corrosion-fatigue conditions, their fracture lifespan is dependent on the severity of the corrosive medium. The reduction in the service life of the cables under the corrosion environment is much greater than that under heavy loads. This research may contribute to the understanding of corrosion-fatigue damage in bridge cables, involving assessment, maintenance, and replacement for bridge cables.

show abstract

“…Identifying the dynamic properties of bridges including their vibration frequencies is critical for understanding their behavior. This will allow engineers to, among other things, create numerical models that can better represent the physical behavior of the bridge [ 1 , 2 , 3 ], identify any degradation in the materials by tracking the variations in the frequencies over time [ 4 ], and determine the critical speeds of the trains that traverse the railway bridges with the ultimate goal of effective and efficient infrastructure management [ 5 , 6 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Identification of Vibration Frequencies of Railway Bridges from Train-Mounted Sensors Using Wavelet Transformation

Erduran

Pettersen

Gönen

et al. 2023

Sensors

View full text Add to dashboard Cite

This article presents a novel methodology to extract the bridge frequencies from the vibrations recorded on train-mounted sensors. Continuous wavelet transform is used to distinguish the bridge frequencies from the other peaks that are visible in the Fourier amplitude spectrum of the accelerations recorded on train bogies. The efficacy of the proposed method is demonstrated through numerical case studies. For this, a detailed three-dimensional finite element model that can capture the vibration characteristics of the bridge, track, and train is created, and each component of the model is separately validated. The train model used is a three-dimensional multi-degree-of-freedom system that can simulate the pitching and rolling behavior. The train was then virtually driven over the bridge at different speeds and under varying track irregularities to evaluate the robustness of the proposed method in extracting bridge frequencies from train-mounted sensors under different conditions. The proposed methodology is shown to be capable of identifying bridge modal frequencies even for aggressive track irregularity profiles and relatively high speeds of trains.

show abstract

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

Cited by 31 publications

References 20 publications

Initiation and propagation of failures in steel truss bridges

Initiation and propagation of failures in steel truss bridges

Corrosion Fatigue Assessment of Bridge Cables Based on Equivalent Initial Flaw Size Model

Identification of Vibration Frequencies of Railway Bridges from Train-Mounted Sensors Using Wavelet Transformation

Contact Info

Product

Resources

About