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• W2894732767 abstract "Due to the absence of antifatigue design under vehicle-induced aerodynamic load (VIAL) during the process of structural design, structural failures of noise barriers erected on urban highway viaducts have become a common issue in China. In this paper, a novel VIAL monitoring methodology is proposed, which can achieve a remote VIAL measuring only by analysis and application of the data from a traffic-monitoring camera. To establish this methodology, a VIAL determinative model and a computer vision system for measuring the vehicle running characteristics are developed. The accuracy and reliability of this methodology have been validated by a field experiment. By comparing with the results of vehicle-induced aerodynamic pressure (VIAP) from a sensor-based wind pressure acquisition system, it was found that the systemic root mean square deviations of maximum and minimum values of VIAP were 12.13% and 10.10%, respectively." @default.
• W2894732767 created "2018-10-12" @default.
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• W2894732767 date "2018-10-03" @default.
• W2894732767 modified "2023-09-30" @default.
• W2894732767 title "A novel computer vision-based monitoring methodology for vehicle-induced aerodynamic load on noise barrier" @default.
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• W2894732767 doi "https://doi.org/10.1002/stc.2271" @default.
• W2894732767 hasPublicationYear "2018" @default.
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