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积雪平台防护低填浅挖路基风吹雪灾害的效果研究

Study on Snow Accumulation Platform Effect for Snowdrift Disaster Prevention on Low Fill and Shallow Excavation of Subgrade Section
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摘要 京新高速公路(G7)新疆段自2021年6月30日建成开通运营至今已经历两个冬季,部分低填浅挖路段受风吹雪灾害影响较大,这与设计期间的认识有所不同,因此需要优化和改进防风雪措施。本文基于远程监测、现场调研、模型试验和数值模拟等研究方法,对在高速公路低填浅挖路基段设置积雪平台的防风雪机理和设计参数进行分析,进而对积雪平台防治风吹雪效果进行评价。结果表明:积雪平台的坡率和深度对高速公路路面积雪分布均有较大影响,积雪平台深度对储雪量影响更强,结合工程实际条件及分析结果提出将现有积雪平台加深0.5~1.0 m的工程建议。 The Xinjiang section of Beijing⁃Xinjiang Expressway(G7)has been in operation for two winters since its completion on June 30,2021.Some low fill and shallow excavation sections are greatly affected by snowdrift disasters,which is different from the understanding during the design period.Therefore,it is necessary to optimize and improve snowdrift prevention measures.Based on many methods such as remote monitoring,in⁃situ test,model test and numerical simulation,this paper analyzed the snowdrift prevention mechanism and design parameters of setting up snow accumulation platforms in low fill and shallow excavation subgrade sections of expressways,and then evaluated the effect of snow accumulation platform in preventing wind⁃blown snow.The results show that the slope and depth of the snow accumulation platform have a significant impact on the distribution of snow particles on the expressway surface.The depth of the snow accumulation platform has a stronger impact on the snow storage capacity.The suggestion of deepening the existing snow accumulation platform by 0.5-1.0 meter is given combined with the actual conditions of the project and analysis results.
作者 隆星 LONG Xing(China Railway Construction Investment Group Co.Ltd.,Zhuhai Guangdong 519031,China;School of Human Settlements and Civil Engineering,Xi′an Jiaotong University,Xi′an Shaanxi 710049,China)
出处 《铁道建筑技术》 2023年第12期70-73,共4页 Railway Construction Technology
基金 中国铁建股份有限公司科技研究开发计划项目(2018⁃C54) 中国铁建投资集团有限公司京新高速科技研发项目(2018)。
关键词 低填浅挖路基 积雪平台 风吹雪 防护效果 数值分析 low fill and shallow excavation of subgrade section snow accumulation platform snowdrift prevention effect numerical analysis
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