Prediction formula for dynamic accumulated deformation of Nanjing fine sand under train-induced vibration load

SHEN Li-wei; ZHUANG Hai-yang; CHEN Lei; LI Hao

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Prediction formula for dynamic accumulated deformation of Nanjing fine sand under train-induced vibration load

更新时间：2026-06-25

- Prediction formula for dynamic accumulated deformation of Nanjing fine sand under train-induced vibration load
- Vol. 35, Issue 11, (2014)
- 作者机构：
  
  1. 南京工业大学岩土工程研究所,南京,210009
  2. 江苏省交通规划设计院股份有限公司,南京,210005
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU443
- Online First：10 December 2014，
  
  Published：2014
- 稿件说明：
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SHEN Li-wei, ZHUANG Hai-yang, CHEN Lei, et al. Prediction formula for dynamic accumulated deformation of Nanjing fine sand under train-induced vibration load[J]. 2014, 35(11).
DOI：

SHEN Li-wei, ZHUANG Hai-yang, CHEN Lei, et al. Prediction formula for dynamic accumulated deformation of Nanjing fine sand under train-induced vibration load[J]. 2014, 35(11). DOI：

摘要

列车振动荷载引起的路基长期沉降问题一直是影响列车正常运营的重要因素。首先，采用GDS空心圆柱扭剪仪对新近沉积的南京细砂重塑样进行循环三轴试验研究。在该基础上，通过总结国内外学者研究的累积变形模型公式，并与试验数据进行对比，分析了已有多种公式应用于南京细砂动力累积变形的预测时的可行性，给出了相关预测公式的模型参数参考值。根据试验结果，考虑试验围压对土体累积变形的影响规律，对部分公式进行了初步修正，扩大了相关预测公式的使用范围。研究成果对长江中下游轨道交通路基的长期沉降预测具有一定的指导意义和参考价值。

Abstract

A cumulative deformation forecast model can predict long-term settlement of sand under the train-induced vibration load and has a great practical value in engineering practice. Based on cyclic triaxial experiment on the remolded samples of Nanjing fine sand using GDS (geotechnical digital systems) dynamic hollow cylinder torsional apparatus

the article analyzes sand characteristics of accumuted deformation

summarizes current studies on a cumulative deformation model formula at home and abroad

and compares the different formulae results with the experiment data; finally finds the most suitable model formula for Nanjing fine sand. Through comparison and analysis

the formula of logarithm model

of which the parameters are determined

has been found having a good application effect on a cumulated deformation prediction of Nanjing fine sand.

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