复杂地形下铁路峡谷交汇处风速分布规律及测风站选址建议OA
Wind speed distribution patterns and anemometer station siting recommendations at railway canyon confluences in complex terrain
为提高大风环境下峡谷交汇区段的铁路运输安全,以南疆铁路某典型复杂地形区段为例,采用Realizable k-ε湍流模型,对铁路沿线峡谷交汇位置附近的风速分布进行数值模拟研究.通过分析不同远方来流风向条件下的风速分布特征,探讨交汇位置附近各峡谷风速之间的相互关系.提出峡谷交汇区域铁路测风站与桥梁的选址建议,明确了桥梁同时跨越上游两峡谷与直接跨越交汇位置两种方案的适用条件,并建立了以"标准化风速按风向频率加权平均值"为指标的测风站横向定位方法.研究结果表明:来流风向与峡谷走向的匹配关系是影响峡谷内风速分布的主要因素;当来流风向与峡谷走向接近时,峡谷内风速较大且流动稳定,反之,风速较小且流动紊乱;当来流方向与上游某一峡谷走向接近时,交汇位置风速为该峡谷风速的(0.943 4±0.011 7)倍;若来流方向与上游两峡谷走向均差异较大,则交汇位置风速较大,并主要受上游风速较大的峡谷控制.针对本研究中的交汇地形,上游两峡谷及交汇位置的测风站建议位置分别在峡谷宽度的0.60倍、0.55倍与0.25倍处.该布局与既有测风站相比,可使观测风速提升19.8%,并将风速监测误差从17.4%降低至1.1%.本文研究成果可为复杂地形区段的铁路防风设计提供理论依据与工程参考.
To enhance railway transportation safety in confluent canyon regions under strong wind conditions,a typical section of complex terrain along the Southern Xinjiang Railway was taken as an example and the Realizable k-ε turbulence model was adopted to numerically simulate the wind speed distribution near the canyon confluence.By analyzing the characteristics under different incoming wind directions,the relationships between wind speeds from individual canyons were investigated.Based on these findings,recommendations were proposed for siting anemometer stations and bridges in such areas,clarifying applicable conditions for bridges spanning either both upstream canyons or the confluence directly.A lateral positioning method for anemometer stations was established using the"wind direction frequency-weighted average of normalized wind speed"as an indicator.The results show that the alignment between the incoming wind direction and the canyon orientation is the main factor affecting the wind speed distribution.When they align closely,the wind speed inside the canyon is higher and the flow is stable;otherwise,it is lower and more turbulent.Specifically,if the incoming wind direction aligns with one upstream canyon,the wind speed at the confluence is 0.943 4±0.011 7 times that in that canyon.If it differs significantly from both upstream canyon orientations,the confluence wind speed is higher and mainly controlled by the upstream canyon with the stronger wind.For the studied topography,the recommended stations in the two upstream canyons and at the confluence should be positioned at 0.60,0.55,and 0.25 times the canyon width from the windward side,respectively.This layout increases observed wind speed by 19.8%and reduces monitoring error from 17.4%to 1.1%compared to the existing stations.The outcomes provide theoretical and engineering references for windproof design of railways in complex terrain.
刘堂红;万子颖;高鸿瑞;陈晓栋;陈争卫;梁习锋
中南大学交通运输工程学院,轨道交通安全教育部重点实验室,湖南 长沙,410075||中南大学轨道交通安全关键技术国际合作联合实验室,湖南 长沙,410075||中南大学空气动力学国家铁路局铁路行业科技创新基地(重点实验室),湖南 长沙,410075中南大学交通运输工程学院,轨道交通安全教育部重点实验室,湖南 长沙,410075||中南大学轨道交通安全关键技术国际合作联合实验室,湖南 长沙,410075||中南大学空气动力学国家铁路局铁路行业科技创新基地(重点实验室),湖南 长沙,410075香港理工大学土木及环境工程学系,中国香港,999077中南大学交通运输工程学院,轨道交通安全教育部重点实验室,湖南 长沙,410075||中南大学轨道交通安全关键技术国际合作联合实验室,湖南 长沙,410075||中南大学空气动力学国家铁路局铁路行业科技创新基地(重点实验室),湖南 长沙,410075中南大学交通运输工程学院,轨道交通安全教育部重点实验室,湖南 长沙,410075||中南大学轨道交通安全关键技术国际合作联合实验室,湖南 长沙,410075||中南大学空气动力学国家铁路局铁路行业科技创新基地(重点实验室),湖南 长沙,410075中南大学交通运输工程学院,轨道交通安全教育部重点实验室,湖南 长沙,410075||中南大学轨道交通安全关键技术国际合作联合实验室,湖南 长沙,410075||中南大学空气动力学国家铁路局铁路行业科技创新基地(重点实验室),湖南 长沙,410075
交通工程
铁路复杂地形峡谷交汇风速分布测风站选址数值模拟
railwaycomplex terraincanyon confluencewind speed distributionanemometer station sitingnumerical simulation
《中南大学学报(自然科学版)》 2026 (6)
2495-2508,14
国家自然科学基金资助项目(U24B20123)国家自然科学基金委员会基础科学中心项目(52388102)湖南省科技创新计划项目(2022RC3040)中国铁路乌鲁木齐局集团有限公司科技研究开发计划项目(2026-kj-35)中南大学中央高校基本科研业务费专项资金资助项目(2026ZZTS0920)中南大学高性能计算中心资助课题(2026)(Project(U24B20123)supported by the National Natural Science Foundation of ChinaProject(52388102)supported by the National Natural Science Foundation of China-Fundamental Science CenterProject(2022RC3040)supported by the Science and Technology Innovation Program of Hunan ProvinceProject(2026-kj-35)supported by the Technology Research and Development Program of China Railway Urumqi Group Co.Ltd.Project(2026ZZTS0920)supported by the Fundamental Research Funds for the Central Universities of Central South UniversityProject(2026)supported by the High Performance Computing Center of Central South Universtiy)
评论