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广州某淤泥地基固化改良试验及优化配比研究
引用本文:张丽娟,何捷聪,陈逸,关裕彤.广州某淤泥地基固化改良试验及优化配比研究[J].地下空间与工程学报,2017,13(2):344-347.
作者姓名:张丽娟  何捷聪  陈逸  关裕彤
作者单位:广东工业大学 土木与交通工程学院,广州 510006
摘    要:广州南沙港某油罐仓储区工程淤泥地基拟采用固化剂加固,为了找到各固化剂的最佳掺量,取该工程场地的典型淤泥,采用正交法设计了18组固化剂添加方案,通过室内试验研究了水泥、石灰、石膏、水玻璃和减水剂5种固化剂对淤泥无侧限抗压强度的影响,并根据模糊优选决策理论,利用成本等4项评判指标对其中满足强度要求的7组固化剂添加方案进行了优选。结果表明,5种固化剂中,水泥掺量对强度的影响最大,石膏掺量的影响最小。水泥、减水剂、水玻璃、石膏和石灰掺量分别为5%、0.5%、2%、4%和8%时的固化剂添加方案相对优属度0.885 3为最大,是综合最优方案。试验结果为该工程进行大面积地基加固处理提供了可靠的技术参数,采用该综合最优方案的现场大面积加固效果非常好。

关 键 词:淤泥地基改良  固化剂  试验研究  模糊优选  最优方案  
收稿时间:2016-08-12

Research on Mud Foundation Solidification Improvement Experiment and Optimal Additive Portion of A Project in Guangzhou
Zhang Lijuan,He Jiecong,Chen Yi,Guan Yutong.Research on Mud Foundation Solidification Improvement Experiment and Optimal Additive Portion of A Project in Guangzhou[J].Chinese Journal of Underground Space and Engineering,2017,13(2):344-347.
Authors:Zhang Lijuan  He Jiecong  Chen Yi  Guan Yutong
Affiliation:School of Civil and Transportation Engineering, Guangdong university of Technology, Guangzhou 510006, P.R. China
Abstract:Mud foundation of a petroleum storage facilities in Guangzhou Nansha port area will be improved by grouting of additives.In order to find the best additive portion,based on 18 groups of additive portion schemes,cement,lime,gypsum,sodium silicate and water-reducer are used as solidified agent to research the effect of additives to unconfined compression strength.Based on the fuzzy optimization theory,using cost etc.four criteria to optimize seven groups of additive portion schemes.Results show that among the five factors affecting strength,cement is the most one,gypsum is the last one.The maximum superior degree is 0.885 3 with the additive portion of cement,water-reducer,sodium silicate,gypsum and lime 5% 、0.5% 、2% 、4% and 8% respectively.The results can provide reliable parameters for the entire project,ideal result was obtained for the whole area treated with the best additive portion.
Keywords:mud foundation improvement  additives  experimental research  optimal selection  best scheme
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