Vehicle models for fatigue loading on steel box-girder bridges based on weigh-in-motion data

Ma, Rujin; Xu, Shiqiao; Wang, Dalei; Chen, Airong

doi:10.1080/15732479.2017.1359308

Cited by 22 publications

(7 citation statements)

References 19 publications

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“…This would likely result in a lower reliability index (Van der Spuy 2020). Reliability of steel bridges is commonly dominated by fatigue, and modelling of traffic load extremes becomes less important; an example of fatigue verification of a steel bridge using WIM was provided in a recent study (Ma et al 2018).…”

Section: Discussionmentioning

confidence: 99%

Reliability performance of bridges designed according to TMH7 NA load model

Lenner¹,

Basson²,

Sýkora³

et al. 2021

J. S. Afr. Inst. Civ. Eng.

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The current code of practice for the design of highway bridges in South Africa is called Technical Methods for Highways 7 (TMH7). It was first published in 1981 and is largely based on the loading provisions of the BS5400. The purpose of this study is to carry out an investigation into the reliability performance of new highway bridges designed according to TMH7. Past studies have identified deficiencies in the traffic load model. A case study considering isolated traffic load effects and sagging moment on a simply supported bridge indicates that NA loading generally performs well for spans ranging from 15 to 50 metres. However, a poor reliability performance is seen for short-span narrow bridges, especially for 5 m and 10 m spans where the number of traffic lanes is equal to the number of notional lanes for NA loading. To study the reliability performance of a critical element, flexural behaviour of a 20 m twin-spine simply supported deck is then investigated. The results agree with the first case study. It is, however, recommended to verify the presented findings by investigation based on data from other heavy-freight routes and to account for continuous structures and shear load effects.

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Section: Discussionmentioning

confidence: 99%

Reliability performance of bridges designed according to TMH7 NA load model

Lenner¹,

Basson²,

Sýkora³

et al. 2021

J. S. Afr. Inst. Civ. Eng.

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“…WIM system has been widely mounted on the highway long-span bridges as the subsystem of structural health monitoring system (SHMS). [14][15][16][17] WIM system can real time and continuously collect the bridge-site traffic loading information, which usually includes lane number, axle number, axle spacing, vehicle speed, gross vehicle weight (GVW), axle weight, and arriving time. For hangers, the axial force time histories can be computed by means of integrating WIM data with bridge finite element model.…”

Section: Fatigue Loading Effects Of Hangers Based On Wim Systemmentioning

confidence: 99%

Service life prediction for steel wires in hangers of a newly built suspension bridge considering corrosion fatigue and traffic growth

Deng

Feng

et al. 2020

Struct Control Health Monit

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As the critical load-carrying components, hangers of long-span suspension bridges are exposed to the combined actions of corrosive environment and cyclic stresses. Service life evaluation of hangers is an important issue for bridge maintenance and safety. In this study, a service life prediction framework is presented by establishing a direct link between site-specific traffic loads and corrosion fatigue processes of hangers' steel wires. The cyclic stress responses of hangers are firstly obtained by inputting the weigh-in-motion (WIM)-based reconstructed vehicular loads to the refined finite element model. The fatigue loading effects, that is, equivalent stress ranges and corresponding number of cycles extracted from cyclic stresses, are explicitly expressed as functions of the bridge-site traffic loads. Then, the service lives of steel wires can be predicted based on the corrosion fatigue analysis with traffic growth. The proposed framework is applied to a newly built suspension bridge in China. Ninety-day bridge-site WIM data are utilized. It is indicated that the growing traffic density would greatly shorten the pitting corrosion time and accelerate the fatigue crack propagation of the steel wires, resulting in a dramatic decrease of the service lives of the hangers' steel wires.

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“…Now, the weigh-in-motion (WIM) system is widely used in long-span bridges for ascertaining vehicle parameters, including total weight, axle distance, speed, and driving lane [26]. In this field, Ma et al [27] obtained basic vehicle information based on traffic data analysis, and the statistical distribution functions of gross vehicle weight under different loading conditions and wheelbase for each type of vehicle were also analyzed to develop the vehicle model. Wang et al [28] proposed a vehicle model for long-span bridges in the framework of Eurocode Load Model 1, in which multiple lane factors and impact factors were taken into account.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Extreme Cable Forces of Cable‐Stayed Bridges Based on Monitoring Data and Random Vehicle Models

Ren

Zhu

Fan

et al. 2021

Advances in Civil Engineering

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For long-span cable-stayed bridges, cables serve as one of the most important components to guarantee structural integrity. Forces of stay cables indicate not only the performance of cables themselves but also the overall condition of bridges. In order to help stakeholders to make maintenance decisions, an extreme cable force estimation method was proposed based on cable force measurements and traffic data from the weighing system. First, raw monitoring data were preprocessed based on a median filtering to obtain usable cable force signals. The multiresolution wavelet method was used to extract traffic-induced force component from mixed signals. Then, a Monte Carlo-based random vehicle model was developed using traffic data from the weighing system. Based on field temperature measurements and simulation of traffic-induced effects, extreme cable forces with respect to vehicle loads and temperature effects were predicted by extreme value theory. The Generalized Pareto Distribution (GPD) was adopted to establish the probability distribution models of the daily maximum cable force. Then, the extreme value within a return period of 100 years was determined and compared with the design loading demand. Finally, the effectiveness of the proposed method was validated through a cable-stayed bridge in China. As a result, the low-frequency varying component of cable force response had positive correlation with environmental temperatures, and the extreme value of the predicted cable force under prospective traffic volumes was within limit interval value according to the design code. The conclusions can be utilized by bridge owners to make maintenance decisions.

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Vehicle models for fatigue loading on steel box-girder bridges based on weigh-in-motion data

Cited by 22 publications

References 19 publications

Reliability performance of bridges designed according to TMH7 NA load model

Reliability performance of bridges designed according to TMH7 NA load model

Service life prediction for steel wires in hangers of a newly built suspension bridge considering corrosion fatigue and traffic growth

Estimation of Extreme Cable Forces of Cable‐Stayed Bridges Based on Monitoring Data and Random Vehicle Models

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