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哈大客运专线桥梁墩台沉降观测与预测
  • ISSN号:1006-2106
  • 期刊名称:《铁道工程学报》
  • 时间:0
  • 分类:U443[建筑科学—桥梁与隧道工程;交通运输工程—道路与铁道工程]
  • 作者机构:[1]武汉理工大学,武汉430063
  • 相关基金:国家高技术研究发展计划(863)项目(2007AA11Z107); 国家自然科学基金项目(10372075)
中文摘要:

研究目的:以哈大客运专线运粮河特大桥墩台沉降观测为背景,介绍运粮河特大桥沉降观测的技术要求与观测方法;采用曲线拟合法综合分析了桥梁墩台的沉降变形趋势,运用灰色系统的新陈代谢GM(1,1)模型建立累积沉降的预测模型,来分析桥梁墩、台的沉降量,掌握其变形规律。研究结论:通过对哈大客运专线运量河特大桥墩台沉降观测数据进行的分析与评估,采用曲线拟合法分析其沉降变形趋势,运用灰色系统模型对桥梁墩台进行预测,得出以下结论:桥梁墩台的沉降已经渐渐趋于稳定,运用灰色系统的新陈代谢GM(1,1)模型建立累积沉降的预测模型,预测结果表明该模型精度较高,可以用于累积沉降的预测。

英文摘要:

Research purposes:Taking the settlement observation of Yunlianghe Bridge of Harbin-dalian Passenger Dedicated Line as the background,the introduction is given to the observation method and requirement for settlement observation of Yunlianghe Bridge.The general analysis of the future settlement volume of the pier and abutment is made with curve fitting method and the prediction model for the accumulated settlement established by the metabolic GM(1,1)model of gray system so as to know the settlement law.Research conclusions:The settlement of the pier and abutment of Yunlianghe Bridge of Harbin-Dalian Passenger dedicated Line becomes stable.With the metabolic GM(1,1)model of gray system,the prediction model for accumulated settlement can be established easily because of needing a little measured data.Although there is a certain gap between the predicted data and the measured data,but the prediction model can reflect the change trend of the settlement at the observation point and the approximate settlement volume at the observation point can be known before the next observation,so the prediction model is significant in prediction of the settlement.In addition,the prediction model has a high accuracy and it can be used for prediction of the accumulated settlement.

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期刊信息
  • 《铁道工程学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科协
  • 主办单位:中国铁道学会 中国铁路工程总公司
  • 主编:何宁
  • 地址:北京市复兴路69号中国中铁广场
  • 邮编:100039
  • 邮箱:cres1984@163.com
  • 电话:010-51878355 51878353
  • 国际标准刊号:ISSN:1006-2106
  • 国内统一刊号:ISSN:11-3567/U
  • 邮发代号:80-471
  • 获奖情况:
  • 国内外数据库收录:
  • 波兰哥白尼索引,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:13902