Singh, C., Chattopadhyay, A., Fard, M. Y., Varsamopolous, G., Papanicolaou, A. T., & Gupta, S. (2014). Multi-Level Adaptive Remote Sensing Package for Bridge Scour Health Management (Report No. RITARS-12-H-ASU). United States. Dept. of Transportation. Office of Research, Development and Technology. https://rosap.ntl.bts.gov/view/dot/39803
Singh, Caesar, Aditi Chattopadhyay, Masoud Yekani Fard, Georgios Varsamopolous, A.N. Thanos Papanicolaou, and Sandeep Gupta. Multi-Level Adaptive Remote Sensing Package for Bridge Scour Health Management. Report no. RITARS-12-H-ASU. United States. Dept. of Transportation. Office of Research, Development and Technology, 2014. https://rosap.ntl.bts.gov/view/dot/39803.
Singh, Caesar, et al. Multi-Level Adaptive Remote Sensing Package for Bridge Scour Health Management. United States. Dept. of Transportation. Office of Research, Development and Technology, 2014, Report no. RITARS-12-H-ASU, ROSA P. https://rosap.ntl.bts.gov/view/dot/39803.
Over the past few decades, various fixed scour monitoring instruments have been installed on bridge structures for measuring bridge scour depth. They include sonar, Manual Sliding Collar, tilt sensors, float-out-device, sounding rods, and Time Domain Reflect meters (Hunt 2009). Typical issues reported of unmanned detection techniques are either vulnerability or survivability of the device under harsh conditions. New sensing technologies to measure critical scour depth have been suggested such as Fiber Bragg Grating (FBG) (Xiong et al. 2012; Zarafshan et al. 2012), Smart Rocks (Radchenko et al. 2013), and RFID systems. These efforts have shown good potential to overcome the disadvantages of traditional scour monitoring instruments for real-time scour monitoring; however, the fidelity of these technologies have yet to be proved in real bridge scour events. This final summary report details the efforts of the research team for online detection and prediction of scour using RFID technology and it is outlined per task below.
Singh, C., Chattopadhyay, A., Fard, M. Y., Varsamopolous, G., Papanicolaou, A. T., & Gupta, S. (2014). Multi-Level Adaptive Remote Sensing Package for Bridge Scour Health Management (Report No. RITARS-12-H-ASU). United States. Dept. of Transportation. Office of Research, Development and Technology. https://rosap.ntl.bts.gov/view/dot/39803
Singh, Caesar, Aditi Chattopadhyay, Masoud Yekani Fard, Georgios Varsamopolous, A.N. Thanos Papanicolaou, and Sandeep Gupta. Multi-Level Adaptive Remote Sensing Package for Bridge Scour Health Management. Report no. RITARS-12-H-ASU. United States. Dept. of Transportation. Office of Research, Development and Technology, 2014. https://rosap.ntl.bts.gov/view/dot/39803.
Singh, Caesar, et al. Multi-Level Adaptive Remote Sensing Package for Bridge Scour Health Management. United States. Dept. of Transportation. Office of Research, Development and Technology, 2014, Report no. RITARS-12-H-ASU, ROSA P. https://rosap.ntl.bts.gov/view/dot/39803.
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