Preliminary probabilistic prediction of ice/snow accretion on stay cables based on meteorological variables

Roldsgaard, Joan Hee; Kiremidjian, Anne S.; Georgakis, Christos; Faber, Michael Havbro

doi:10.1201/b16387-804

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…The probability of the ideal meteorological conditions for icing bridge cables occurring naturally is not so high. Roldsgaard et al [10], estimated that conditions conducive to icing occur for a total of about 96 hours per year, based on monitoring data from the vicinity of the Øresund Bridge in Denmark, using the Bayesian Probabilistic Network. The final ice shape on the bottom side of the cable model featured characteristically irregular ice ribs with rounded edges and a relatively maximal surface roughness of 18% ( Fig.…”

Section: The Icing Process and The Preparation Of The Iced Cable Modementioning

confidence: 99%

Model investigations of the aerodynamic coefficients of iced cables in cable-stayed bridges

Górski

Tatara

Pospı́šil

et al. 2019

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This paper presents the wind tunnel investigations of the mean aerodynamic coefficients of the stationary iced model in cable-stayed bridges. The investigations were performed in a Climatic Wind Tunnel Laboratory at the Czech Academy of Sciences in Telč. The icing of the inclined cable model was made experimentally. The shape of the iced model was mapped by a photogrammetry method. The new iced cable model was made by using a 3D printer. The aerodynamic drag, lift and moment coefficients were determined with respect to three principal angles of wind attack within the range of the Reynolds number between 2.5•10 4 and 13.6•10 4 at a turbulence intensity of 5 %. It was found that the drag coefficient values of the iced cable model are higher than for a circular smooth cylinder. The obtained results could constitute a basis to formulate a mathematical description of the wind load acting on the iced cables of cable-supported bridges.

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Section: The Icing Process and The Preparation Of The Iced Cable Modementioning

confidence: 99%

Model investigations of the aerodynamic coefficients of iced cables in cable-stayed bridges

Górski

Tatara

Pospı́šil

et al. 2019

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“…Several scholars have studied bridge icing detection and prediction. An automatic detection method for bridge icing has been proposed [4]; this method uses weather data such as freezing rain, fog, and wet snow to predict bridge icing [5]. Bayes probability network was used to evaluate the probability of meteorological conditions and icing curves.…”

Section: Introductionmentioning

confidence: 99%

A Stay Cable Icing Identification Method Based on the Fusion of U-Net and ResNet50

Yang,

Xiong,

Pei

et al. 2024

Applied Sciences

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The identification of stay cable icing is crucial for robot deicing to improve efficiency and prevent damage to stay cables. Therefore, it is significant to identify the areas and degree of icing in the images of stay cables. This study proposed a two-stage model that combines U-Net and ResNet50. In the first stage, this model used U-Net to segment the surface ice and icicles from the stay cable. The image of icing obtained after segmentation was used as the input for the second stage. In the second stage, ResNet50 was used to classify the degree of icing. The experimental results show that the proposed model can successfully segment the icicles and surface ice from the stay cable icing image to complete the classification of the icing degree. The mean pixel accuracy and intersection over the union of icing were 96.65% and 82.10%, respectively. The average accuracy of the icing degree classification was 95.71%. The method proposed in this study meets the requirements of robustness, segmentation accuracy, and classification accuracy for stay cable icing recognition, which provides a research basis for the precise icing recognition of cable-deicing robots.

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“…The information from visual observations was used to optimize decision making. Roldsgaard et al presented a framework for estimating the probability of occurrence of ice accretion on stay cables of Ø resund Bridge in Denmark. Probability assessments of the meteorological variables and the conditional ice accretion curves were implemented in a Bayesian probabilistic network.…”

Section: Introductionmentioning

confidence: 99%

Electromechanical impedance‐based ice detection of stay cables with temperature compensation

Zhang

Zhou

2019

Struct Control Health Monit

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Summary Ice accretion on stay cables is a critical problem for cable‐stayed bridges in a cold climate. Timely and reliable ice detection is a primary and necessary measure for all types of de‐icing solutions. In the study, electromechanical impedance (EMI) method is first proposed to detect ice accretion on the stay cables. This method is extremely sensitive to the small changes in local mass, local stiffness, and temperature, and all of the aforementioned are involved in the icing process on stay cables. With respect to ice detection by using the EMI method, the changes in structural stiffness and mass due to the ice covered are considered as primary characteristics, whereas the change in temperature corresponds to the disturbing factor. Thus, temperature compensation should be implemented during the post processing of experimental data. The proposed method is demonstrated by experiments on a segment of a full‐scale stay cable and with necessary signal processing. The icing process is simulated by spraying water in a low temperature laboratory. The root mean square deviation, relative root mean square deviation, and the characteristic bandwidth are used to quantitatively evaluate the ice accretion. Subsequently, more accurate ice thickness identification is implemented through a trained artificial neural network model. Results indicate that the proposed EMI method with temperature compensation is rapid and feasible for the ice detection of stay cables.

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Preliminary probabilistic prediction of ice/snow accretion on stay cables based on meteorological variables

Cited by 4 publications

References 14 publications

Model investigations of the aerodynamic coefficients of iced cables in cable-stayed bridges

Model investigations of the aerodynamic coefficients of iced cables in cable-stayed bridges

A Stay Cable Icing Identification Method Based on the Fusion of U-Net and ResNet50

Electromechanical impedance‐based ice detection of stay cables with temperature compensation

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