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基于灰色系统理论的软土路基沉降观测断面选择方法
引用本文:李月光,吴小萍,聂敏.基于灰色系统理论的软土路基沉降观测断面选择方法[J].四川建筑科学研究,2011,37(6):117-120.
作者姓名:李月光  吴小萍  聂敏
作者单位:1. 中南大学土木建筑学院,湖南长沙410075;武汉理工大学交通学院,湖北武汉430063
2. 中南大学土木建筑学院,湖南长沙,410075
3. 湖北武大珞珈工程结构检测咨询有限公司,湖北武汉,430070
基金项目:国家高技术研究发展计划(863计划)(2007AA11Z107)
摘    要:公路软土路基沉降观测,可保证施工期间路堤的施工质量及道路运营期间的正常运行.目前,路基沉降观测断面的选择方法均根据经验定性分析,存在诸多不合理性.采用灰色系统理论中的灰色关联分析方法,对公路软土地基沉降因素进行敏感性分析,通过计算各影响因素与软土路基最终沉降量之间的关联度,确定主导影响因素.分析各主导因素对软土路基最终沉降量的影响,从而为软土路基典型沉降观测断面的选择提供指导和依据.

关 键 词:灰色系统理论  软土路基  沉降观测  断面选择

Method of sections selection for observing soft soil subgrade settlement based on Grey System Theory
LI Yueguang , WU Xiaoping , NIE Min.Method of sections selection for observing soft soil subgrade settlement based on Grey System Theory[J].Building Science Research of Sichuan,2011,37(6):117-120.
Authors:LI Yueguang  WU Xiaoping  NIE Min
Affiliation:(1.School of Civil Engineering and Architecture,Central South University,Changsha 410075,China; 2.School of Transportation,Wuhan University of Technology,Wuhan 430063,China; 3.Hubei Wuda Luojia Inspection and Consultation of Engineering Structure Co.,Ltd.,Wuhan 430070,China)
Abstract:The settlement observation of highway soft soil subgrade could guarantee the construction quality of the embankment during construction and good performance of road during operation.So far,the approach to analysis and select the sections for observing subgrade settlement is based on experience,qualitative and unreasonable.This paper puts forward Gray Relational Analysis method,which is part of Grey System Theory,to analyze the sensitivities of different factors on highway soft soil subgrade settlement.After calculating the grey relational degree between factors and the total settlement of soft soil subgrade,the dominant factors can be determined.By analyzing the relation of each dominant factor and total settlement of soft soil subgrade,the basis can be provided for selecting the typical sections of soft soil subgrade settlement observation.
Keywords:Grey System Theory  soft soil subgrade  settlement observation  sections selection
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