New database for the estimation of dynamic coefficient of friction of snow

IF 1.7 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Open Geosciences Pub Date : 2024-05-31 DOI:10.1515/geo-2022-0639
Rakesh K. Aggarwal, Ranjan Das, Hemendra S. Gusain
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Abstract

Knowledge of the Coulomb dynamic coefficient of friction of snow is a vital input parameter for the estimation of run-out distance, velocity, forces, and lateral spread of the snow avalanches in the hilly regions. This parameter is defined as the ratio of the wall shear force to the normal force components of an avalanche. Avalanches are one of the most devastating natural hazards. So, the proper understanding of avalanche flow parameters is vital for the people and the infrastructure in the mountainous regions of the world. Notwithstanding the utmost significance of the Coulomb friction parameter, a few measurements are available for this parameter. In the present work, based on 32 measurements carried out from 2017 to 2020, a new database for the shear force and normal force components of the avalanches and derived values of the dynamic coefficient of friction between the chute steel surface and the flowing snow are presented. The measurements were carried out using a three-component piezoelectric load cells-based dynamometer which in turn was installed on the 12° slope of a 61-m long snow chute, located in the Pir Panjal Himalayan range of India. Based on all the measurements, the average value of the dynamic coefficient of friction for snow-steel surface is estimated to be 0.113 with a standard deviation of 0.032. The results have been exhibited to be in accordance with the published literature. It is expected that the present database will be highly significant for the validation and improvement of avalanche dynamics models especially for high-density wet snow conditions. Further, shear force and normal force components data may be useful for the designing of snow sheds in mountainous regions.
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估算雪地动态摩擦系数的新数据库
了解雪的库仑动态摩擦系数是估算丘陵地区雪崩的冲出距离、速度、力和横向扩散的重要输入参数。该参数被定义为雪崩的壁面剪切力与法向力分量之比。雪崩是最具破坏性的自然灾害之一。因此,正确理解雪崩流参数对世界山区的居民和基础设施至关重要。尽管库仑摩擦参数极为重要,但对该参数的测量却很少。在本研究中,基于 2017 年至 2020 年期间进行的 32 次测量,介绍了雪崩剪切力和法向力分量的新数据库,以及滑道钢表面与流雪之间动态摩擦系数的推导值。测量使用了基于三分量压电传感器的测力计,该测力计安装在位于印度喜马拉雅山脉 Pir Panjal 的一条 61 米长雪道的 12° 斜坡上。根据所有测量结果,雪-钢表面的动态摩擦系数平均值估计为 0.113,标准偏差为 0.032。结果显示与已发表的文献相符。预计本数据库将对雪崩动力学模型的验证和改进具有重要意义,尤其是在高密度湿雪条件下。此外,剪切力和法向力分量数据可能有助于山区雪棚的设计。
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来源期刊
Open Geosciences
Open Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
3.10
自引率
10.00%
发文量
63
审稿时长
15 weeks
期刊介绍: Open Geosciences (formerly Central European Journal of Geosciences - CEJG) is an open access, peer-reviewed journal publishing original research results from all fields of Earth Sciences such as: Atmospheric Sciences, Geology, Geophysics, Geography, Oceanography and Hydrology, Glaciology, Speleology, Volcanology, Soil Science, Palaeoecology, Geotourism, Geoinformatics, Geostatistics.
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