软基沉降的经验曲线非线性回归分析预测方法研究  

Experiential Curve Nonlinear Regression Model for Sediment Prediction of Soft Soil Foundation

作　　者：唐朝晖[1] 刘晓[2] 李菊凤[1] 

机构地区：[1]中国地质大学工程学院,武汉430074 [2]湖北清江水电开发有限责任公司,湖北宜昌443000

出　　处：《地质科技情报》2005年第B07期106-108,共3页Geological Science and Technology Information

基　　金：湖北省自然科学基金资助项目(2002AB021)

摘　　要：将经验曲线波形非线性回归分析应用于广肇高速公路的软基沉降量预测中,分别采用双盐线模型、指数曲线模型和星野法模型对同一段软基的沉降进行了预测,结果表明:①3种模型的短期沉降预测能力均较好,且以星野法模型与实际最贴近;②双曲线模型与星野法模型预测的最终沉降量相近,而指数曲线模型预测的最终沉降量偏小。Generally there are three experiential curve models in engineering： hyperbola model, exponent model and Xing-Ye model. This paper uses experiential curve nonlinear regression analysis for sediment prediction of soft soil foundation. At same segment, hyperbola model, exponent model and Xing-Ye model are all adopted to calculate. The results are： ①the models have very excellent ability in short-term prediction, especially, the results by Xing-Ye model, which are closest to the actual sediment; ②In final sediment prediction field, the results by hyperbola model and Xing-Ye model are quite closed, but the result by exponent model is smaller.

关 键 词：软基沉降 非线性回归分析 双曲线模型 指数曲线模型 星野法模型 

分 类 号：TU471.8[建筑科学—结构工程]