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基于AHP案例推理法的地铁施工地表沉降预测方法

Prediction of ground surface settlements caused by subway construction based on AHP and case-based reasoning

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【作者】 陶连金王焕杰田健边金田治旺

【Author】 TAO Lianjin;WANG Huanjie;TIAN Jian;BIAN Jin;TIAN Zhiwang;Key Laboratory of Urban Security & Disaster Engineering,Ministry of Education,Beijing University of Technology;

【机构】 北京工业大学城市与工程安全减灾省部共建教育部重点实验室

【摘要】 为确保地铁施工期间的工程安全,及时采取地表沉降防治措施,以地铁工程案例库为背景,提出了基于AHP案例推理法的地铁施工地表沉降预测方法。该方法选取能够反映地表沉降的三项重要影响因素,即地质条件、水文条件和设计施工条件,计算得到各旧案例与所求工程的相似度,通过专家打分并结合AHP确定各影响因素的权重值,最后将相似度最大的若干个案例沉降值加权平均得到所预测工程沉降量。北京地铁白石桥南站—国家图书馆站区间的工程实例表明,该方法可行有效。

【Abstract】 The engineering safety during the period of construction is ensured by taking prevention and control measures depending on the prediction results of the construction preparation stage. This paper introduces a ground subsidence forecasting method developed by applying case-based reasoning based on an analytic hierarchical process on the background of subway engineering cases. The method works by choosing three important parameters underlying ground surface settlements such as the geological conditions,hydrological condition,and design and construction conditions; calculating the similarity between old cases and the project under way; determining the weight values of various factors based on experts scoring and AHP; and ultimately determining the magnitude of the ground surface subsidence involving the project being predicted using the method of weighted mean of subsidence value of several cases of the most great similarity. The method works better,as is verified by example calculations and practical measurements related to the subway interval of Baishiqiao south station—National library station.

【基金】 国家自然科学基金项目(41272337);北京市自然科学基金委员会-北京市科学技术研究院联合资助项目(L140004)
  • 【文献出处】 黑龙江科技大学学报 ,Journal of Heilongjiang University of Science and Technology , 编辑部邮箱 ,2016年02期
  • 【分类号】U231.3
  • 【被引频次】4
  • 【下载频次】136
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