Analysis on Settlement Characteristics and Forecasting Model of
Post-Construction Settlement of Loess Embankment

doi:10.3969/j.issn.1674-0696.2011.supp1.012

Journal of Chongqing Jiaotong University(Natural Science) ›› 2011, Vol. 30 ›› Issue (S1): 555-558.DOI: 10.3969/j.issn.1674-0696.2011.supp1.012

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Analysis on Settlement Characteristics and Forecasting Model of Post-Construction Settlement of Loess Embankment

SUN Fa·xin，GUAN Liang，LI Can-liang

Graduate Student Management Band，Logistical Engineering University of PLA，Chongqing 4000 1 3，China

Received:2011-06-09 Revised:2011-06-21 Online:2011-07-15 Published:2015-03-12

黄土路堤沉降特性与工后沉降预测模型分析

孙发鑫，关亮，李灿良

解放军后勤工程学院研究生管理大队，重庆40001

作者简介:孙发鑫(1985—)，男，四川泸州人，硕士研究生，主要从事与非饱和土相关的研究工作。E-mail：58440874@qq.com

Abstract

Abstract: The distribution and the nature of loess are expounded and then the mechanisMand the cause of loess embank- ment settlement are analyzed．The valuable models based on the measured data for forecasting post-construction settlement of loess embankment are analyzed and compared，including the exponential model，power function model and hyperbolic mod- e1．Finally，in the case of the exponential model，the parameters of the forecasting model are determined according to the measured data of some dam．

Key words: oess embankment, settlement characteristic, post-construction settlement, forecasting model, exponential model, power function model, hyperbolic model

摘要： 阐述了黄土的分布与性质，对黄土路堤沉降的机理及原因进行了分析。分析比较了基于实测资料预测黄土路堤工后沉降值的实用模型，包括指数模型，幂函数模型，双曲线模型。以指数模型为例，根据已建成某大坝实测数据，确定了预测模型的参数

关键词: 黄土路堤, 沉降特性, 工后沉降, 预模型, 指数模型, 幂函数模型, 双曲线模型

CLC Number:

U416.1⁺2

SUN Fa·xin，GUAN Liang，LI Can-liang. Analysis on Settlement Characteristics and Forecasting Model of Post-Construction Settlement of Loess Embankment[J]. Journal of Chongqing Jiaotong University(Natural Science), 2011, 30(S1): 555-558.

孙发鑫，关亮，李灿良. 黄土路堤沉降特性与工后沉降预测模型分析[J]. 重庆交通大学学报（自然科学版）, 2011, 30(S1): 555-558.

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Analysis on Settlement Characteristics and Forecasting Model of Post-Construction Settlement of Loess Embankment

黄土路堤沉降特性与工后沉降预测模型分析

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