|本期目录/Table of Contents|

[1]袁轩,江新,袁国常.地下洞室群现场作业风险分析与向量模型[J].中国安全生产科学技术,2017,13(1):174-180.[doi:10.11731/j.issn.1673-193x.2017.01.029]
 YUAN Xuan,JIANG Xin,YUAN Guochang.Risk analysis and vector model of field operation in underground cavern group[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(1):174-180.[doi:10.11731/j.issn.1673-193x.2017.01.029]
点击复制

地下洞室群现场作业风险分析与向量模型
分享到:

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
13
期数:
2017年1期
页码:
174-180
栏目:
现代职业安全卫生管理与技术
出版日期:
2017-01-31

文章信息/Info

Title:
Risk analysis and vector model of field operation in underground cavern group
文章编号:
1673-193X(2017)-01-0174-07
作者:
袁轩1 江新12袁国常3
1. 三峡大学 水利与环境学院,湖北 宜昌 443002; 2. 湖北省水电工程施工与管理重点实验室,湖北 宜昌 443002;3. 三峡旅游职业技术学院 基础部,湖北 宜昌 443100
Author(s):
YUAN Xuan1 JIANG Xin12 YUAN Guochang3
1. College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang Hubei 443002, China; 2. Hubei Provincial Key Laboratory of Hydropower Engineering Construction and Management, Yichang Hubei 443002, China; 3. Department of Basic,
关键词:
地下洞室群现场作业风险关联效应因子分析向量模型
Keywords:
underground cavern group field operations risk correlation effect factor analysis vector model
分类号:
X947
DOI:
10.11731/j.issn.1673-193x.2017.01.029
文献标志码:
A
摘要:
为了厘清地下洞室群施工现场作业风险因素间的关联效应,利用AMOS软件构建施工风险影响因素结构方程模型,对已建模型进行验证性因子分析,利用计算得出的M.I值对已构建的模型进行修正。根据所得模型计算出的路径系数和方差,对地下洞室群施工风险因素关联效应进行分析。结果表明:规章制度建设及执行、围岩稳定性、进场设备优良率、工人技术等级、工人逆反心理以及消极作业分别为各风险层次中影响最大的风险因素,且各风险层次间的关联效应表现出耦合关系;现场作业风险因素可分为现场主体因素、现场客体因素和现场控制因素3大类,它们之间成向量关系,以此为基础建立向量模型,可清晰直观地展示3大因素之间的主次关系。
Abstract:
In order to clarify the correlation effect of risk factors in construction field operation of underground cavern group, the AMOS software was used to establish the structural equation model of construction risk influence factors. The confirmatory factor analysis was conducted on the established model, and the obtained calculation value of M.I was used to modify the established model. According to the path coefficient and variance calculated by the obtained model, the correlation effect of the construction risk factors for the project group was analyzed. The results showed that the construction and implementation of rules and regulations, the stability of surrounding rock, the excellent rate of equipments entry into site, the technical level of workers, the antagonistic psychology of workers and the negative operation of workers are the risk factors with the greatest influence in each risk level respectively, and the correlation effect of each risk level shows a coupling relationship. The risk factors of field operation can be divided into three categories, including the field subjective factors, the field object factors and the field control factors, with a vector relationship among them. On this basis, a vector model was built, which can present the primary-slave relationship among the three factors clearly and intuitively.

参考文献/References:

[1]江新,李琦,沈力.基于ANP-灰色模糊的水电项目群风险预警研究[J].中国安全科学学报,2014,24(6):146-152. JIANG Xin,LI Qi,SHEN Li.Hydropower engineering programme risk early warning research bsed on ANP-Gray fuzzy[J].China Safety Science Journal,2014,24(6):146-152.
[2]Sturk R, Olsson L, Johansson J. Risk and decision analysis for large underground projects, as applied to the Stockholm Ring Road tunnels[J]. Tunnelling & Underground Space Technology, 1996, 11(2):157-164.
[3]Choi H H, Cho H N, Seo J W. Risk Assessment Methodology for Underground Construction Projects[J]. Journal of Construction Engineering & Management, 2004, 130(2):258-272.
[4]Abdollahipour A, Rahmannejad R. Sensitivity analysis of influencing parameters in cavern stability[J]. International Journal of Mining Science and Technology, 2012, 22(5):707-710.
[5]李景龙.大型地下洞室群工程稳定性风险评估系统及其应用研究[D].济南:山东大学,2008.
[6]汪刘凯,孟祥瑞,何叶荣,等.基于 CA -SEM 的煤矿安全事故风险因素结构模型[J].中国安全生产科学技术,2015,11(12):150-156. WANG Liukai,MENG Xiangrui,HE Yerong.Structural model of risk factors for safety accidents in coal mine based on CA-SEM.[J]. Journal of Safety Science and Technology,2015,11(12):150-156.
[7]撒文奇,张社荣,张连明.基于物联网的大型地下洞室群施工期动态安全评价与预警方法研究[J].岩石力学与工程学报,2014,33(11):2301-2313. SA Wenqi,ZHANG Sherong,ZHANG Lianming.Real-time safety evaluation and early warning of large-scale underground cavern group during construction period based on internet of things[J].Chinese Journal of Rock Mechanics and Engineering,2014,33(11):2301-2313.
[8]YOU K H, PARK Y, LEE J S. Risk analysis for determination of a tunnel support pattern[J]. Tunnelling and Underground Space Technology, 2005, 20(5): 479-486.
[9]仇文革,李俊松,胡兰,等.基于WebGIS的地下工程安全风险管理系统[J].西南交通大学学报,2011,46(6):953-959, 965. CHOU Wenge,LI Junsong,HU Lan. WebGIS-based safety risk management system of underground engineering[J]. Journal of Southwest Jiaotong University,2011,46(6):953-959,965.
[10]胡群芳,黄宏伟.隧道及地下工程风险接受准则计算模型研究[J].地下空间与工程学报,2006,2(1):60-64. HU Qunfang,HUANG Hongwei.Study on the modeling of risk acceptance criteria for tunnel and underground engineering[J].Chinese Journal of Underground Space and Engineering,2006,2(1):60-64.
[11]池秀文, 姚雪梅, 张海峰. 基于AE的地下工程安全风险管理系统研究[J]. 武汉理工大学学报, 2010,32(11):143-146. CHI Xiuwen,YAO Xuemei,ZHANG Haifeng.Research on safety risk management system of underground engineering based on AE[J]. Journal of Wuhan University of Technology,2010,32(11):143-146.
[12]宋飞,赵法锁.地下工程风险分析的层次分析法及MATLAB应用[J].地球科学与环境学报,2008,30(3):292-296. SONG Fei,ZHAO Fasuo.Application of analytical hierarchy process and MATLAB program for risk analysis of underground engineering[J].Journal of Earth Sciences and Environment,2008,30(3):292-296.
[13]于峰.大型地下水封石油洞库风险分析与控制措施[D].济南:山东大学,2014.
[14]宁禄乔,刘金兰,吴兵福,等.结构方程模型迭代算法研究[J].系统工程学报,2007,22(1):84-87, 92. NING Luqiao,LIU Jinlan,WU Bingfu. Research of the interative procedure in structural equation modeling[J].Journal of Systems Engineering,2007,22(1):84-87,92.
[15]陈红.基于人因视角下的地铁施工安全环境预案的研究[D].天津:天津理工大学,2015.

相似文献/References:

[1]伍彬彬.一种基于GIS的地下洞室群风网解算可视化研究[J].中国安全生产科学技术,2014,10(4):48.[doi:10.11731/j.issn.1673-193x.2014.04.008]
 WU Bin bin.An visualization research based on GIS for ventilation network calculation of underground tunnelchamber group[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(1):48.[doi:10.11731/j.issn.1673-193x.2014.04.008]

备注/Memo

备注/Memo:
-
更新日期/Last Update: 2017-03-02