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考虑蠕变性状的港区软土地基参数反演和长期沉降预测
引用本文:史旦达,周健,贾敏才,杨永香. 考虑蠕变性状的港区软土地基参数反演和长期沉降预测[J]. 岩土力学, 2009, 30(3): 746-750
作者姓名:史旦达  周健  贾敏才  杨永香
作者单位:1.上海海事大学 海洋环境与工程学院,上海 200135;2.同济大学 地下建筑与工程系,上海 200092; 3.同济大学 岩土及地下工程教育部重点实验室,上海 200092
基金项目:国家自然科学基金,上海市教委支出预算项目,浙江省科技计划面上项目 
摘    要:结合上海某集装箱码头建设项目,针对本工程深厚淤泥质黏土的场地条件,引入Mesri蠕变模型考虑堆场地基的长期蠕变变形。利用施工期和工后短期实测分层沉降资料,由最小二乘法建立目标函数,运用分层迭代反演方法反演得到各软土层的黏弹性参数;将反演得到的土层参数代入自行编制的沉降计算软件,计算得到地基沉降量,并将计算值与实测值进行对比,对比结果证明了参数反演的可靠性;利用反演得到的土层参数对工后的长期沉降进行了预测,为本工程的安全运营提供了指导。

关 键 词:软土地基  地基沉降  蠕变  参数反演  长期沉降预测  
收稿时间:2008-05-28

Back analysis of parameters and long-term settlement prediction of harbor soft ground considering its creep behavior
SHI Dan-da,ZHOU Jian,JIA Min-cai,YANG Yong-xiang. Back analysis of parameters and long-term settlement prediction of harbor soft ground considering its creep behavior[J]. Rock and Soil Mechanics, 2009, 30(3): 746-750
Authors:SHI Dan-da  ZHOU Jian  JIA Min-cai  YANG Yong-xiang
Affiliation:1. College of Ocean Environment and Engineering, Shanghai Maritime University, Shanghai 200135, China; 2. Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China; 3. Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Tongji University, Shanghai 200092, China
Abstract:Based on a harbor construction project in Shanghai,the Mesri creep model is introduced to depict the creep deformation behavior of the soft ground. The viscoelastic parameters of Mesri model are determined by back analysis of field monitoring data. The objective function is established by least square method, and the variables are optimized. Taking into account the layered property of soft ground, iterative back analysis layer by layer method is used. Back analyzed parameters are substituted into the self-programmed software to calculate the settlement. The comparison between calculated result and measured result confirms the reliability of back analysis. At last, the long-term ground settlement after construction is predicted on the basis of the results of back analysis.
Keywords:soft ground  ground settlement  creep  back analysis of parameters  long-term settlement prediction
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