Corrosion fatigue and electrochemical behaviour of steel wires used in bridge cables

Liu, Zhongxiang; Guo, Tong; Yu, Xiaolong; Huang, Xianfu; Correia, José A.F.O.

doi:10.1111/ffe.13331

Cited by 37 publications

(23 citation statements)

References 35 publications

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“…Large span bridges face potential threats every day owing to sophisticated outer loadings and aggressive environments (Liu et al, 2021). Although regular inspections are scheduled, it is difficult to deal with sudden incidents timely, where the sudden incidents include significant changes in operational loadings (e.g., overloading vehicles) and structural capacity (structural damage) (Liu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic anomaly trend detection for cable-supported bridges using confidence interval estimation

Qian

Huang

et al. 2022

Advances in Structural Engineering

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To rate uncertainties within anomaly detection course for large span cable-supported bridges, a probabilistic approach is developed based on confidence interval estimation of extreme value analytics. First, raw signals from structural health monitoring system are pre-processed, including missing data imputation using moving time window mean imputation approach and thermal response separation through multi-resolution wavelet-based method. Then, an energy index is extracted from time domain signals to enhance robust of detection performance. A resampling-based method, namely the bootstrap, is adopted herein for confidence interval estimation. Four confidence levels are defined for the anomaly trend detection in this study, namely 95%, 80%, 50%, and 20%. Finally, the effectiveness of the proposed anomaly trend detection methodology is validated by using in-situ cable force measurements from the Nanjing Dashengguan Yangtze River Bridge. As a result, the four-level anomaly detection triggers are determined by using the confidence interval estimation based on cable force measurements in 2007, which are 58,671, 48,862, 42,499 and 39,035, respectively. Subsequently, three cases are presented, which are spike detection, overloading vehicle detection and snow disaster detection. Through the spike detection, it is verified that energy index is capable to tolerate signal spikes. Three overloading events are simulated to conduct overloading vehicle detections. As a result, the three overloading events are detected successfully associated with different confidences. Snow disaster is detected with a more than 80% confidence based on the field measurements during the snow storm time window.

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Section: Introductionmentioning

confidence: 99%

Probabilistic anomaly trend detection for cable-supported bridges using confidence interval estimation

Qian

Huang

et al. 2022

Advances in Structural Engineering

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“…From the cable replacement and collapse accidents, the corrosion of steel wire seriously affects the safety of bridge structures, which is related to the normal use of bridge structures. Corrosion is one of the main reasons for the degradation of mechanical properties of cable body, which is mainly caused by electrochemical corrosion of high-strength galvanized steel wire or steel strand (Barton et al , 2000; Liu et al , 2020; Miao et al , 2016). Therefore, it is necessary to investigate the electrochemical corrosion mechanism of galvanized steel wires, which is helpful to accurately grasp the corrosion damage of steel wires, and lay the foundation for the research on the degradation of galvanized steel wires.…”

Section: Introductionmentioning

confidence: 99%

Effect of environmental factors on electrochemical corrosion of galvanized steel wires for bridge cables

Miao

Wei

2021

ACMM

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Purpose This paper aims to investigate the electrochemical corrosion rate of galvanized steel wires for bridge cables. Design/methodology/approach The electrochemical corrosion test and response surface analysis of galvanized steel wires were carried out, and the variety of polarization curves of galvanized steel wires under different corrosion parameters was discussed. The expression of corrosion rate of galvanized steel wires under the action of single and multi-factor coupling was established. Findings The polarization curves of galvanized steel wires under different Cl- concentrations, pH value and temperature were basically similar, but all show different degrees of deviation and some anodic polarization curves had inflection points. For example, when the Cl- concentration reached 3.5%, the corrosion rate of galvanized steel wire was four times that of pure water. Originality/value The influence relationship of single and multi-factor coupling on the corrosion rate of galvanized steel wires was as follows: RCl > RT * Cl > RT > RpH > RpH * T > RpH * Cl.

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“…Based on the characteristic function expansion method, Song et al (2016) used the Runge–Kutta–Fehlberg method to calculate the dynamic response of cable-stayed bridge. Liu et al (2017, 2021) investigated the parameters of the suspension bridge cable response conducted by the influence of vehicle parameters. Zhu et al (2018b) proposed a comprehensive evaluation method for vehicle ride comfort and bridge safety of long-span coastal bridges under the load of cars, wind and waves.…”

Section: Introductionmentioning

confidence: 99%

Dynamic response and parameter analysis on the vehicle–bridge coupling of cable-stayed bridge under over-limit transportation

Wang

et al. 2021

IJSI

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PurposeOver-limit transportation has the characteristics of large axle load, large number of axles and lateral distribution width. Under the action of over-limit load, the coupling vibration effect of vehicle–bridge is more obvious, and the deformation of bridge components is large. Thus, research and analysis of the vehicle–bridge coupling dynamic response of long-span bridges under over-limit transportation has practical engineering significance.Design/methodology/approachBased on the principle of invariable elastic potential energy, this paper derives dynamic model of over-limit transportation n-axis flat vehicle. The numerical simulation method is used to model and calculate a cable-stayed bridge, and the static effect of the cable-stayed bridge and the dynamic response of vehicle–bridge coupling under different parameters are compared and analyzed.FindingsThe focus is on the influence of vehicle load and vehicle velocity parameters on the stress and amplitude of different cables under over-limit transportation, and the corresponding variation law is obtained.Originality/valueThe research on the coupled dynamic response of cable-stayed bridges has attracted the attention of many scholars, but there are relatively few studies on the coupled vibration of out-limit vehicles and bridges. In this paper, based on finite element software, a vehicle–bridge coupling model under bulk transportation is established.

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Corrosion fatigue and electrochemical behaviour of steel wires used in bridge cables

Cited by 37 publications

References 35 publications

Probabilistic anomaly trend detection for cable-supported bridges using confidence interval estimation

Probabilistic anomaly trend detection for cable-supported bridges using confidence interval estimation

Effect of environmental factors on electrochemical corrosion of galvanized steel wires for bridge cables

Dynamic response and parameter analysis on the vehicle–bridge coupling of cable-stayed bridge under over-limit transportation

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