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高速铁路路桥过渡段地基沉降测试与预测方法研究
引用本文:蒲兴波,魏静,钱耀峰,李军昌.高速铁路路桥过渡段地基沉降测试与预测方法研究[J].铁道建筑技术,2012(8):88-93.
作者姓名:蒲兴波  魏静  钱耀峰  李军昌
作者单位:1. 北京交通大学土木建筑工程学院,北京,100044
2. 中国铁建二十一局集团有限公司,兰州,730102
基金项目:中央高校基本科研业务费专项资金资助,2010年大学生创新实验项目资助
摘    要:以津秦客运专线路桥过渡段路基沉降测试为例,利用BP神经网络方法和灰色系统法研究了路桥过渡段沉降预测问题。计算实例表明,神经网络法和灰色系统法短期沉降预测结果比较准确,简便易行,因而具有广泛的工程实用价值和应用前景。

关 键 词:路桥过渡段  测试方法  沉降预测  人工神经网络  灰色理论

Study on Ground Settlement of High-speed Rail at the Transition Section between Bridge and Plain Track and Predicating Method
Pu Xingbo,Wei Jing,Qian Yaofeng,Li Junchang.Study on Ground Settlement of High-speed Rail at the Transition Section between Bridge and Plain Track and Predicating Method[J].Railway Construction Technology,2012(8):88-93.
Authors:Pu Xingbo  Wei Jing  Qian Yaofeng  Li Junchang
Affiliation:1.School of Civil Engineering,Beijing Jiaotong University,Beijing 100044,China;2.China Railway 21st Bureau Group Co.Ltd.,Lanzhou 730102,China)
Abstract:This article,taking the test on ground settlement at the transition section between bridge and plain track in Tianjin-Qinhuangdao Passenger Dedicated Line for example,studies the prediction of ground settlement of the transition section between bridge and plain track with BP neural network and gray system method.The calculations prove that neural network and the gray system method offer a more accurate result in an easy and effective way;therefore it is of practical value in engineering and has a broad application prospect.
Keywords:transition section  test method  prediction of settlement  artificial neural network  gray theory
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