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

Torres, Benjamín; Poveda-Martínez, Pedro; Ivorra, Salvador; Estevan, Luis

doi:10.1016/j.engfailanal.2023.107435

Cited by 9 publications

(2 citation statements)

References 45 publications

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“…These include changes in the dynamic characteristics and static responses of sea-crossing bridges, highway bridges, railroad bridges, cable-stayed bridges, etc., caused by wind, traffic, and other loads, mainly focusing on static characteristics, seismic design, and reasonable system design. The study of dynamic characteristics of bridges is quite rich in application examples in bridge engineering [10][11][12][13][14][15]. By measuring the vibration data of bridges in real-time and combining it with dynamic analysis, the operational status of bridges can be monitored, and possible damages or problems can be detected in time, which can provide a scientific basis for the maintenance and management of bridges.…”

Section: Introductionmentioning

confidence: 99%

Study on Dynamic Characteristics of Long-Span Highway-Rail Double-Tower Cable-Stayed Bridge

Guo,

Jiang,

Zhang

et al. 2024

Buildings

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The long-span dual-purpose highway-rail double-tower cable-stayed bridge has the characteristics of a large span and large load-bearing capacity. Compared with the traditional cable-stayed bridge, its wind resistance and seismic resistance are weaker, and the dynamic characteristics of the bridge are closely related to the wind resistance and seismic bearing capacity of the bridge. This study investigated the influence of the variations of bridge member parameters on the dynamic characteristics of the bridge and then improved the dynamic characteristics of the bridge. To provide the necessary experimental theory for the research work of the long-span dual-purpose highway-rail double-tower cable-stayed bridges, this paper takes the world’s longest span of the dual-purpose highway-rail double-tower cable-stayed bridge as the background, using the finite element analysis software Midas Civil 2022 v1.2 to establish a three-dimensional model of the whole bridge by changing the steel truss beam stiffness, cable stiffness, pylon stiffness, and auxiliary pier position, as well as study the influence of parameter changes on the dynamic characteristics of the bridge. The results show that the dynamic characteristics of the bridge can be enhanced by increasing the stiffness of the steel truss beam, the cable, and the tower. The stiffness of the steel truss beam mainly affects the transverse bending stiffness and flexural coupling stiffness of the bridge. The influence of cable stiffness is weak. The tower stiffness can comprehensively affect the flexural stiffness and torsional stiffness of the bridge. The position of auxiliary piers should be determined comprehensively according to the site conditions. In practical engineering, the stiffness of components can be enhanced according to the weak links of bridges to improve the dynamic characteristics of bridges and save costs.

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Section: Introductionmentioning

confidence: 99%

Study on Dynamic Characteristics of Long-Span Highway-Rail Double-Tower Cable-Stayed Bridge

Guo,

Jiang,

Zhang

et al. 2024

Buildings

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“…This enables the optimization of maintenance and conservation interventions by providing a prompt identification of structural pathologies [7][8][9]. Driven by decreasing costs and advancements in sensing and data acquisition technologies, SHM strategies are shifting toward the implementation of heterogeneous and dense sensor networks capable of offering comprehensive health assessments [10][11][12]. A large variety of instrumentation strategies have been reported in the literature, from more classical wired sensors installed on the structure, Internet-of-Things (IoT) sensors [13], to more innovative in-vehicle monitoring approaches [14,15].…”

Section: Introductionmentioning

confidence: 99%

Damage Identification of Railway Bridges through Temporal Autoregressive Modeling

Anastasia,

García-Macías,

Ubertini

et al. 2023

Sensors

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The damage identification of railway bridges poses a formidable challenge given the large variability in the environmental and operational conditions that such structures are subjected to along their lifespan. To address this challenge, this paper proposes a novel damage identification approach exploiting continuously extracted time series of autoregressive (AR) coefficients from strain data with moving train loads as highly sensitive damage features. Through a statistical pattern recognition algorithm involving data clustering and quality control charts, the proposed approach offers a set of sensor-level damage indicators with damage detection, quantification, and localization capabilities. The effectiveness of the developed approach is appraised through two case studies, involving a theoretical simply supported beam and a real-world in-operation railway bridge. The latter corresponds to the Mascarat Viaduct, a 20th century historical steel truss railway bridge that remains active in TRAM line 9 in the province of Alicante, Spain. A detailed 3D finite element model (FEM) of the viaduct was defined and experimentally validated. On this basis, an extensive synthetic dataset was constructed accounting for both environmental and operational conditions, as well as a variety of damage scenarios of increasing severity. Overall, the presented results and discussion evidence the superior performance of strain measurements over acceleration, offering great potential for unsupervised damage detection with full damage identification capabilities (detection, quantification, and localization).

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Key Construction Technologies for Steel Truss Bridges in High Water Level and High Flow Velocity Conditions: A Case Study for Shoupanyan Bridge

Liu,

Li,

Dai

et al. 2024

Lecture Notes in Civil Engineering

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Temporary steel truss bridges are increasingly used in engineering projects due to the large-scale construction and development of sea-crossing bridges. However, the construction of these bridges is greatly affected by environmental factors and can face significant challenges when dealing with complex conditions such as fast currents, water depth, and large fluctuations in water level. Therefore, advanced construction techniques are necessary to overcome these challenges. This paper discusses the design, analysis, and construction of a steel truss bridge over water under high water level and rapid flow conditions, using the Shupan Yan Bridge construction project as an example. The paper proposes novel techniques for drilled piles, lateral support, and bridge deck structure. Additionally, a detailed finite element model is established. The results of the finite element analysis demonstrate the suitability and practicality of the novel technology design proposed in this study for constructing steel truss bridges in complex water environments. The technology improves safety during construction. The research findings can provide guidance for similar projects.

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

Cited by 9 publications

References 45 publications

Study on Dynamic Characteristics of Long-Span Highway-Rail Double-Tower Cable-Stayed Bridge

Study on Dynamic Characteristics of Long-Span Highway-Rail Double-Tower Cable-Stayed Bridge

Damage Identification of Railway Bridges through Temporal Autoregressive Modeling

Key Construction Technologies for Steel Truss Bridges in High Water Level and High Flow Velocity Conditions: A Case Study for Shoupanyan Bridge

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