The Method of Division and Classification Quantification for Snow and Ice Removal on Airport Pavement

Author(s):  
Ya-ping Zhang ◽  
Yu Zhang ◽  
Xiao-qing Xing ◽  
Ye Chen ◽  
Nan Yang ◽  
...  
Author(s):  
Hesham Abdualla ◽  
Halil Ceylan ◽  
Sunghwan Kim ◽  
Mani Mina ◽  
Kristen S. Cetin ◽  
...  

Airport agencies spend millions of dollars to remove ice and snow from airport pavement surfaces to achieve accessible, safe, and sustainable operations during the winter. Electrically conductive concrete (ECON) based heated pavement system (HPS) has gained attention as a promising alternative technology for preventing snow and ice accumulation by maintaining pavement surface temperatures above the freezing point. The objective of this study was to demonstrate the world’s first full-scale ECON-based HPS at a U.S. airport. Two ECON slabs were designed and constructed in the General Aviation (GA) apron at the Des Moines International Airport (DSM), Iowa in 2016. Systematic design components were identified, and construction procedures were developed and implemented for ECON-based HPS. Using collected sensor data, the performance of the constructed and remotely-operated ECON slabs was evaluated under real weather conditions at DSM in the 2016–2017 winter season. The results demonstrate that ECON-based HPS have promising deicing and anti-icing capacities, promising to provide uniform heat distribution and prevent snow and ice accumulations on the entire area of application under various winter weather conditions, including extreme cold weather (i.e., arctic blasts).


Author(s):  
Mahesh Kumar Gaur ◽  
R. K. Goyal ◽  
M. S. Raghuvanshi ◽  
R. K. Bhatt ◽  
M. Pandian ◽  
...  
Keyword(s):  

2014 ◽  
Vol 19 (12) ◽  
pp. 04014034 ◽  
Author(s):  
Noriaki Ohara ◽  
SuHyung Jang ◽  
Shuichi Kure ◽  
Z. Q. Richard Chen ◽  
M. Levent Kavvas

2020 ◽  
Vol 72 (1) ◽  
Author(s):  
Hirofumi Niiya ◽  
Kenichi Oda ◽  
Daisuke Tsuji ◽  
Hiroaki Katsuragi

Abstract The formation of aggregates consisting of snow, water, and tephra has been reported in small-scale experiments on three-phase flows containing tephra, water, and snow, representing lahars triggered by snowmelt. Such aggregates reduce the mobility of mud flow. However, the formation mechanism of such aggregates under various conditions has not been investigated. To elucidate the formation conditions and mechanical properties of the aggregates, we performed mixing experiments with materials on a rotating table and compression tests on the resulting aggregates with a universal testing machine in a low-temperature room at $$0\,^{\circ }\text {C}$$ 0 ∘ C . From experiments with varying component ratios of the mixture and tephra diameter, the following results were obtained: (i) the aggregate grew rapidly and reached maturity after a mixing time of 5 min; (ii) the mass of aggregates increased with snow concentration, exhibiting an approximately linear relationship; (iii) single aggregates with large mass formed at lower and higher tephra concentrations, whereas multiple aggregates with smaller mass were observed at intermediate concentrations; (iv) the shape of the aggregate satisfied the similarity law for an ellipsoid; (v) the compressive mechanical behavior could be modeled by an empirical nonlinear model. The obtained mechanical properties of the aggregates were independent of the experimental conditions; (vi) scaling analysis based on the Reynolds number and the strength of the aggregates showed that the aggregates cannot form in ice-slurry lahars. Our findings suggest that low-speed lahars containing snow and ice are likely to generate aggregates, but snow and ice in the ice-slurry lahars are dispersed without such aggregates.


Author(s):  
Tomonori Tanikawa ◽  
Kazuhiko Masuda ◽  
Hiroshi Ishimoto ◽  
Teruo Aoki ◽  
Masahiro Hori ◽  
...  

Author(s):  
Ingrid Rebouças de Moura ◽  
Franco Jefferds dos Santos Silva ◽  
Luis Henrique Gonçalves Costa ◽  
Edmon Darwich Neto ◽  
Herbert Ricardo Garcia Viana

1991 ◽  
Vol 103 (1) ◽  
pp. 34-41 ◽  
Author(s):  
GEORGE L. BLAISDELL
Keyword(s):  

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