利用气象资料估算新干线转向架积雪量的方法

Q4 Engineering
Y. Kamata, Masaya Shishido, Ryota Sato
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引用次数: 0

摘要

在雪区运行的新干线列车转向架上积雪,有时会导致地面设施受损。为了防止这种类型的损坏,车站里的火车上的雪被清除了。我们开发了一种估计转向架上积雪量的方法:首先,利用天气数据估计轨道上的雪密度,然后估计向上的雪流量。然后将其用于预测转向架下的累计雪量。我们的研究证实,到达车站后,转向架下的积雪估计在3厘米以内。日本气象厅的运行路线和天气观测点。桥台和挡土墙等挡土结构建在桥梁或路堤的边界。挡土结构的破坏模式多种多样,因此,为了能够确保合理的抗震加固,有必要开发一系列适合于相关挡土结构破坏模式的不同抗震加固方法。此外,在许多情况下,由于土地边界、可用空间和可用于施工的时间等各种限制,施工工作受到严重限制。因此,作者提出了一种既能提高挡土结构抗震性能又能有效实施的抗震加固方法。本文概述了这项研究,并介绍了新开发的加固方法的一些实际应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method for Estimating Snow Accretion on Shinkansen Bogies using Weather Data
Shinkansen trains operating in snowy areas accumulate snow on their bogies, which can sometimes lead to damage to ground facilities. To prevent this type of damage, snow is removed from trains in stations. We developed a method to estimate the amount of snow accretion on bogies: first, snow density on the rail way track is estimated using weather data, then, flying up snow flux is estimated. This is then used to predict the accumulated snow amount under the bogies. Our research confirmed that snow accretion under a bogie upon arrival at a station can be estimated to within 3 cm. running route and weather observation points of Japan Meteorological Agen-cy Earth retaining structures, such as bridge abutments and retaining walls, are con-structed at the boundary of bridges or embankments. There are a variety of earth retaining structure failure modes, therefore in order to be able to ensure rational aseismic reinforcement, it is necessary to develop a range of different aseismic reinforcement methods adapted to the relevant earth retaining structure’s failure mode. Moreover, there are many cases where construction work is severely restricted due to various limitations, such as land boundaries, available space, and time available for construction work. Therefore, the authors propose an aseismic reinforcement method, which can both improve seismic performance of earth retaining structures and be carried out efficiently. This paper outlines this research and describes some examples of the practical application of the newly developed reinforcement method.
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CiteScore
0.70
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36
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