岩土工程研究

基于双因素时间函数的松散地层条件下地表点动态沉降预计

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  • 1. 煤炭科学研究总院 开采设计研究分院,北京 100013;2. 天地科技股份有限公司 开采设计事业部,北京100013; 3. 煤炭科学技术研究院有限公司安全分院,北京 100013
孙闯,男,1987年生,博士研究生,主要从事煤矿特殊开采方面的研究工作。

收稿日期: 2015-04-13

  网络出版日期: 2018-06-05

基金资助

国家自然科学基金项目(No.5160041082,No.51404139)。

Prediction of dynamic subsidence of ground point under loose stratum based on two-factor time function

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  • 1. Coal Mining & Designing Branch, China Coal Research Institute, Beijing 100013, China; 2. Coal Mining & Designing Department, Tiandi Science & Technology Co. Ltd., Beijing 100013, China; 3. Institute of Coal Safety and Technology, China Coal Research Institute, Beijing 100013, China

Received date: 2015-04-13

  Online published: 2018-06-05

Supported by

This work was supported by the National Natural Science Foundation of China (5160041082, 51404139).

摘要

通过分析松散地层条件下地表点沉降规律和Knothe 时间函数模型在预测松散地层条件下的不足,在原时间函数中增加了表达松散地层下沉的时间影响参数c2,构成了双因素时间函数模型;理论分析结果表明,双因素时间函数模型具有收敛慢,对参数值变化适应性强的特点,但并不完全符合地表点动态下沉的全过程;为此结合双因素时间函数的特点对其进行改进,并在薄松散、厚松散和特厚松散地层3种不同条件下对改进后的双因素时间函数进行了验证计算。结果表明:改进后的双因素时间函数能较好的预测赋存不同厚度松散地层条件下地表点的动态沉降全过程。研究成果可为“三下”采煤提供参考。

本文引用格式

孙 闯,徐乃忠,刘义新,刘 贵,高 超, . 基于双因素时间函数的松散地层条件下地表点动态沉降预计[J]. 岩土力学, 2017 , 38(3) : 821 -826 . DOI: 10.16285/j.rsm.2017.03.026

Abstract

In this study, we studied the surface subsidence law and the shortcomings of predicting surface subsidence by Knothe time function model under loose formation conditions. To express the loose formation subsidence, a time impact factor c2 is introduced into the original time, and a two-factor time function model is developed. Theoretical analysis results indicate that although the two-factor time function has characteristics of slow convergence and strong adaptability to parameter change, it is not complete in accordance with the dynamic process of the surface subsidence. Hence, we improve the two-factor time function,and then verify the applicability of improved two-factor time function for three different thickness (i.e., thin, thick and extremely thick) of loose strata. The results show that the improved function can predict the whole dynamic process of ground point subsidence under the conditions of different thickness of loose strata. The results performed in the study can provide reference for coal mining under building, railway and water body.
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