Renovation of existing steel railway bridges: Field test and numerical simulation

Lin, Weiwei; Taniguchi, Nobuyuki; Yoda, Teruhiko; Hansaka, Masanori; Satake, Shinya; Sugino, Yusuke

doi:10.1177/1369433217732498

Cited by 6 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…22,23 Silionis et al 24 indicated that damage modes cause extensive stress redistribution on thinwalled structures. Lin et al 25 confirmed the stress reduction effects of railway bridges in real service conditions through stress variations on the mid-span section due to running trains in the field test. Fargier Gabaldo´n et al 26 revised the principles governing moment redistribution due to creep and developed a novel graphical aid suitable for hand calculations to estimate the magnitude of tensile stresses due to moment redistribution for the cantilever bridges.…”

Section: Introductionmentioning

confidence: 73%

Deep learning-based bridge damage identification approach inspired by internal force redistribution effects

Yang

Jiang

Zhang

et al. 2023

Structural Health Monitoring

View full text Add to dashboard Cite

Damage identification has always been one of the core functions of bridge structural health monitoring (SHM) systems. Damage identification techniques based on deep learning (DL) approaches have shown great promise recently. However, DL methods still need to be improved owing to their poor interpretability and generalization performance. The fundamental reason lies in the separation between physics-based mechanical principles and data-driven DL methods. To address this issue, this paper proposes a physics-inspired approach combining the data-driven method and the internal force redistribution effects to perform efficient damage identification. Firstly, the mechanical derivation of internal force redistribution is given based on a simplified three-span continuous bridge. Then, two types of typical damage scenarios including segment stiffness decrease and prestress loss are simulated to formulate the damage dataset with monitored field data noise added. Next, a modified Transformer model with multi-dimensional output is trained to obtain the complex dynamic spatiotemporal mapping among multiple measurement points from the intact structure as a benchmark model. Finally, the relationship between multiple damage patterns and the corresponding output regression residual distribution is studied, based on which the flexible combinations of the sensors are proposed as the test set to characterize the internal force redistribution due to damage. Validation on the extended dataset showed that this approach is effective to realize preliminary identification of damage patterns and resist interference from noise at the monitoring site.

show abstract

Section: Introductionmentioning

confidence: 73%

Deep learning-based bridge damage identification approach inspired by internal force redistribution effects

Yang

Jiang

Zhang

et al. 2023

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…[12][13][14] A concrete bridge deck also provides an excellent noise reduction strategy for real applications. For instance, Saito et al 15 and Lin et al 16 performed hammering tests on a scale model of an I-shaped steel beam after casting a concrete deck. Vibration of the steel beam web was reduced substantially when the top flange was excited, but not when the web was excited.…”

Section: Introductionmentioning

confidence: 99%

Vibration characteristics of channel steel-concrete composite girders: An experimental and numerical analysis

Zhang

Liu

Kong

et al. 2022

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

The broad application of steel and steel-concrete bridges has caused significant vibration and noise problems. Although the channel steel-concrete composite girder is a commonly used bridge type, the vibration transmission performance and structural optimization design (concrete deck, stiffeners, transverse connection components, etc.) from the perspective of vibration control have not been well studied. In this paper, experimental and numerical approaches are combined to investigate the dynamic properties of a steel-channel girder in the audible frequency range (20–2000 Hz). A steel-channel girder is tested via hammering. The effects of damping, stiffeners, and a concrete deck on structural vibration are evaluated using the finite element method. The experimental results indicate negligible differences in the vibration responses on a single plate, but large differences at different sections. The results are influenced by the effects of the distance and transmission path. The numerical results reveal that increasing the damping and stiffness (e.g., setting stiffeners) are both effective in reducing vibrations. Furthermore, increasing the stiffness has a more prominent effect on structural vibrations and their frequency dependence, whereas increasing the damping ratio can stably reduce structural vibrations. The simulation results indicate that installing a concrete deck is the most effective approach to vibration reduction, as it can decrease overall vibration by more than 10 dB. Vertical web stiffeners have stronger effects on vibration reduction than other stiffening countermeasures (e.g., transverse connection components and longitudinal bottom plate stiffeners).

show abstract

Design Methodology for Country Road Rehabilitation

González,

Pardo,

Mancera

et al. 2024

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

Renovation of existing steel railway bridges: Field test and numerical simulation

Cited by 6 publications

References 23 publications

Deep learning-based bridge damage identification approach inspired by internal force redistribution effects

Deep learning-based bridge damage identification approach inspired by internal force redistribution effects

Vibration characteristics of channel steel-concrete composite girders: An experimental and numerical analysis

Design Methodology for Country Road Rehabilitation

Contact Info

Product

Resources

About