Study on the Location Selection and Bridge Types of the Railways Along the Border Crossing Nanli River
The scale of China's railway network is constantly expanding,and it has gradually shifted from the construction of the main railway network to the direction of network completion,network strengthening,and network optimization.The construction of railways in difficult mountainous areas is constantly underway,and there are more and more projects crossing large rivers.The Nanli River is located at the junction of Yunnan and Guangxi,and is deeply cut into the land on the west side of the Liuzhao Mountains,forming a natural traffic barrier.The national medium and long-term railway network planning project for the railways along the border in this area requires crossing both Liuzhao Mountains and the Nanli River.From the perspective of mountain crossing,the higher the line elevation,the better.It not only shortens the length of the tunnel but also avoids geological risks,which can better adapt to engineering construction under karst conditions,From the perspective of crossing rivers,the lower the elevation of the line,the better.It not only reduces the height of the bridge but also facilitates construction,which is a technical solution that engineering construction and operation personnel hope to adopt.How to choose a suitable bridge location,which is beneficial for both crossing the Nanli River and crossing the Liuzhao Mountains,is the key and difficult point of project construction.It needs to be demonstrated and compared from various aspects such as geological conditions,economic conditions,and construction conditions.At the same time,the selection of bridge location should also be analyzed in conjunction with the structural form of the bridge.This article first analyzes from a regional macro perspective,and then compares and selects the span style of the selected bridge location,and finalizes the construction plan for the Nanli River Bridge.
railways along the borderbridge location selectionhole span comparison and selection
NETL
NSTL
万方数据
维普
