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机构地区:[1]上海海事大学海洋环境与工程学院,上海200135 [2]同济大学土木工程学院地下系,上海200092
出 处:《应用基础与工程科学学报》2010年第1期28-34,共7页Journal of Basic Science and Engineering
基 金:国家自然科学基金项目(50678128);上海市教委科研创新项目(09YZ250);上海海事大学科研基金项目(2009160);港口;海岸及近海工程院校重点学科项目(2009445878)
摘 要:从20处现场地基沉降实测资料中选取有代表性的15处资料,对港口地基沉降-时间曲线进行了优化的拟合分析.针对港口地基的沉降特性,构建了Hyperbola-Logistic组合数学模型.对15处实测资料的拟合表明,Hyperbola-Logistic组合模型对S型、L型、凹型、近似直线型曲线都有高的拟合精度,相关系数R为0.99691—1,平均0.99915;该模型拟合效果比Hyperbola模型、Logistic模型都要好;基于该组合数学模型的港口地基沉降的计算值与实测值的误差一般为±0.96155%.结果表明,本文提出的Hyperbola-Logistic组合数学模型适应性强,它对港口地基沉降-时间曲线的拟合是较为可靠的,利用这些拟合方程式能对港口地基沉降进行预测.Based on actual measurement data of 15 field testing port ground sites, optimization fitting analysis of ground settlement versus time curves characteristics of port ground, forward. The fitting results of 15 was carried out. Aiming at the settlement Hyperbola-Logistic combined mathematical model was put field measurement data with the model showed that the fitting precision was high, the correlativity coefficients R was from 0. 99691 to 1, the average value was 0. 99915. The fitting effect with the model was better than the Hyperbola model and Logistic model. The following conclusions can be drawn that the Hyperbola-Logistic combined mathematical model have good adaptability and it is accurate and credible for fitting of ground settlement versus time curves, and corresponding fitting equations can be used to forecast settlement of port ground.
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