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海堤地基固结系数反演与工后沉降分形模型预测
引用本文:秦植海,秦鹏. 海堤地基固结系数反演与工后沉降分形模型预测[J]. 岩土力学, 2012, 33(6): 1747-1753
作者姓名:秦植海  秦鹏
作者单位:浙江水利水电专科学校 建筑工程系,杭州 310018
基金项目:浙江省水利厅专项资助重点科研项目(No.RC0932);浙江省水利厅科研项目(No.RC1028);浙江省公益类项目(No.2010C33184);校科研基金(No.xky-201005)
摘    要:海堤工后沉降分析预测对工程维护和灾害防治具有重要意义。以海堤工后初期监测资料为基础,运用分层总和法和太沙基一维固结理论反演了土层固结系数,并通过对固结系数变化规律的分析,提出采用改进变维分形预测模型对具有较强趋势性的固结系数进行预测,进而对海堤工后可能发生的长期沉降进行预测。以浙江省洞头县北岙后二期东围堤工程的海堤监测数据作为研究对象进行了验证计算,结果表明,该方法反映了实际土体的固结沉降机制,能够较好地预测海堤工后沉降趋势,具有一定的工程实用意义。

关 键 词:海堤  固结系数  反演  分形理论  预测  
收稿时间:2009-12-04

Consolidation coefficient inversion of seawall foundation and prediction of its post construction settlement based on fractal theory
QIN Zhi-hai , QIN Peng. Consolidation coefficient inversion of seawall foundation and prediction of its post construction settlement based on fractal theory[J]. Rock and Soil Mechanics, 2012, 33(6): 1747-1753
Authors:QIN Zhi-hai    QIN Peng
Affiliation:Department of Construction Engineering, Zhejiang Water Conservancy and Hydropower College, Hangzhou 310018, China
Abstract:The analysis and prediction of seawall foundation’s post construction settlements are very meaningful for engineering maintenance and disaster prevention.Based on seawall’s early post-monitoring data in the initial stage of construction,the soil consolidation coefficient is inversed by using layer-wise summation method and Terzaghi’s consolidation theory;and an analysis is also carried out the variation laws of consolidation coefficient.In this way,the authors adopt the improved variable dimension fractal prediction models to forecast the consolidation coefficient with strong trends;and then predict the contingent long-term post construction settlement of seawall.As a test,the prediction model is applied to the seawall monitoring data of Beidaihou second east-causeway project(located in Dongtou County of Zhejiang Province).As a result,it reflects well the mechanism of soil body’s consolidation and settlement,and predicts better the trend of seawall’s post construction settlement.
Keywords:seawall  consolidation coefficient  inversion  fractal theory  prediction
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