A safety evaluation model of vertical shaft wall based on 
multivariate statistical method

YANG Hai-peng; BAI Bing; NIE Qing-ke

doi:10.16285/j.rsm.2016.S1.003

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

A safety evaluation model of vertical shaft wall based on multivariate statistical method

更新时间：2026-06-25

- A safety evaluation model of vertical shaft wall based on multivariate statistical method
- Vol. 37, Issue S1, Pages: 27-34(2016)
- 作者机构：
  
  1. 北京交通大学土木建筑工程学院,北京,100044
  2. 河北建设勘察研究院有限公司,河北,石家庄,050031
  3. 河北省岩土工程技术研究中心,河北,石家庄,050031
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2016.S1.003
  CLC： TU457
- Online First：09 June 2018，
  
  Published：2016
- 稿件说明：
移动端阅览
YANG Hai-peng, BAI Bing, NIE Qing-ke. A safety evaluation model of vertical shaft wall based on multivariate statistical method[J]. 2016, 37(S1): 27-34.
DOI：

YANG Hai-peng, BAI Bing, NIE Qing-ke. A safety evaluation model of vertical shaft wall based on multivariate statistical method[J]. 2016, 37(S1): 27-34. DOI： 10.16285/j.rsm.2016.S1.003.

摘要

竖井井壁在复杂应力条件下的非采动破坏严重威胁着矿井的生产安全，如何准确、快捷评价其安全性一直是相关研究者们的关注重点。通过建立考虑应力-渗流-温度三场耦合的竖井井壁计算模型，结合正交试验设计原理和多元统计法，研究了大直径竖井井壁在非采动情况下的主要破坏形式，找到了主要影响因素。建立了一种安全性评价模型用于快速简捷地对工程对象进行预测和评估，可对井壁监测方案提供参考。最后利用文中方法对温家庄铁矿竖井工程进行了分析，验证了安全评价模型的可行性。

Abstract

The mining-induced damage of vertical shaft wall under complicated stress conditions is a great threatening to safe production. Thus

accurate and fast evaluation of its security has been the focus of relevant researchers. In this paper

calculation model of vertical shaft wall with three-field coupling of stress-seepage-temperature has been established; the main damage modes and influence factors of vertical shaft wall have been studied combined with orthogonal design principle and multivariate statistical method. A rapid and accurate safety evaluation model has been given for the assessment of project and reference of the vertical shaft wall monitoring. Finally

the proposed method has been used for analyzing the vertical shaft of Wen Jiazhuang project

so as to verify the validity of this method.

关键词

Keywords

references

Views

116

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Back analysis of elastoplastic parameters of surrounding rock for roadway in mudstone and its long-term stability prediction

Based on orthogonal design to optimize water sealed underground oil storage caverns

Sensibility analysis of factors aeffecting stability of waste landfill based on neural network

Intelligent optimization analysis of excavation and support sequence of tailrace tunnel for Shuibuya Project

On choice of hyper-parameters of support vector machines for time series regression and prediction with orthogonal design

Related Author

JIA Shan-po

MA Fei

JI Hui-bin

YANG Ju

YAN E-chuan

SONG Kun

CUI Guangqiang

TU Fan

Related Institution

School of Urban Construction, Yangtze University

College of Civil Engineering, Chongqing University

中国地质大学（武汉）工程学院，武汉 430074，2.北京东方新星石化工程股份有限公司

College of Jinshan, Fujian Agriculture and Forestry University

College of Civil Engineering, Huaqiao University

AI问答

⁰