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Thesis_Mehdi Sarayloo.pdf (5.04 MB)

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A Sensor for Measuring Liquid Water Content of Wet Snow on Superstructures

Sarayloo, Mehdi
http://orcid.org/0000-0002-0016-342X
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1574893940427478

Abstract Details

2019, Master of Science, University of Toledo, Civil Engineering.
One of the phenomena that has a considerable impact on many aspects of today’s world is atmospheric icing. In many cold areas around the world, such as northern Europe, Japan, Canada, and the United States, atmospheric icing causes difficulties in operating of structures or severe dam ages to them. A variety of structures, such as power lines, bridges, telecommunication towers, wind turbines, and naval structures are vulnerable to atmospheric icing problems. Previous studies done by the University of Toledo icing research team on cable-stayed bridges suffering from ice/snow shedding showed that none of the tested active or passive methods are as reliable and economic as an administrative approach. Apart from the method chosen to mitigate this problem, some parameters of frozen precipitation, especially wet snow, are needed to efficiently run the system. The liquid water content and density are the main parameters of wet snow which significantly affect the mechanical bonding between snow and a surface. One of the results of previous studies by the UT icing research team was the UT icing sensor to detect the ice accumulation on bridge cables. The UT icing sensor was a thin-film resistance-based sensor which also utilizes temperature to work properly. Due to the satisfactory utilization of this sensor on the VGCS bridge, and its capability of developing new functionalities, several experiments were designed and conducted to find a correlation between the liquid water content and the electrical resistance of wet snow. Based on this correlation, a new operation was developed for the UT icing sensor to measure the real-time liquid water content of wet snow. Additionally, the function previously developed for the UT icing sensor was tested and improved by implementing an algorithm to differentiate between frozen water (ice or snow), liquid water, and air. Utilizing these two capabilities together enables the sensor to be used for indicating ice or snow accumulation and shedding on a structure. In terms of design, the sensor is light, flexible, small, and inexpensive, which makes it easy to be implemented on structures such as cable-stayed bridges. Snow density is another parameter which significantly impacts the snow accumulation and shedding. In another part of this thesis, correlating the snow density to the normal velocity of snowflakes was attempted.
Douglas Nims (Committee Chair)
Hossein Sojoudi (Committee Member)
Ahmed Abdelaal (Committee Member)
108 p.
Civil Engineering; Electrical Engineering; Mechanical Engineering
Liquid Water Content, wet snow, atmospheric icing, shedding, sensor, bridge, infrastructure

Recommended Citations

Citations

  • Sarayloo, M. (2019). A Sensor for Measuring Liquid Water Content of Wet Snow on Superstructures [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1574893940427478

    APA Style (7th edition)

  • Sarayloo, Mehdi. A Sensor for Measuring Liquid Water Content of Wet Snow on Superstructures. 2019. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1574893940427478.

    MLA Style (8th edition)

  • Sarayloo, Mehdi. "A Sensor for Measuring Liquid Water Content of Wet Snow on Superstructures." Master's thesis, University of Toledo, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1574893940427478

    Chicago Manual of Style (17th edition)

toledo1574893940427478
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This open access ETD is published by University of Toledo and OhioLINK.