基于因子分析法的边坡稳定性评价指标权重

赵建军; 贺宇航; 黄润秋; 巨能攀

doi:10.3969/j.issn.0258-2724.2015.02.018

基于因子分析法的边坡稳定性评价指标权重

doi: 10.3969/j.issn.0258-2724.2015.02.018

基金项目:

国家自然科学基金资助项目(41102190)

中国科学院西部之光人才培养计划资助项目(2012)

详细信息

作者简介:
赵建军(1980-),男,副教授,博士,研究方向为工程地质和岩土工程,E-mail:zjjtc@126.com

计量
- 文章访问数: 985
- HTML全文浏览量: 125
- PDF下载量: 445
- 被引次数: 0
出版历程
- 收稿日期: 2014-03-18
- 刊出日期: 2015-04-25

Weights of Slope Stability Evaluation Indexes Based on Factor Analysis Method

摘要

摘要: 为快速评价边坡的稳定性,以汤屯(汤口-屯溪)高速公路44个典型边坡为研究对象,采用因子分析法,对边坡稳定性的7个评价指标坡度、坡高、岩性、边坡结构、结构面胶结、控制性结构面、岩体完整性进行了分析,根据它们对边坡稳定性的影响进行排序,并将评价指标得分进行归一化处理后作为评价指标的权重值.研究结果表明:主因子重要性排序依次为边坡形态、边坡结构和结构面特征;评价指标重要性排序依次为岩体完整性、岩性、边坡结构、控制性结构面、结构面胶结、坡度和坡高.
- 边坡稳定性评价 /
- 因子分析法 /
- 权重 /
- 评价指标
Abstract: For rapid evaluation of slope stability, 44 typical slopes along Tangtun highway were investigated. The factor analysis method was adopted to analyze 7 evaluation indicators of slope stability, i.e., slope gradient, slope height, lithology, slope structure, structural plane cementation, main discontinuity and rock mass integrity. These indexes were sorted in light of their effects on slope stability, and evaluation indexes' grades after normalization were taken as evaluation indexes' weights. The research shows that from their importance, main factors are listed as slope shape, slope structure and structural plane characteristics in proper order, and sorting of evaluation indexes is in turn rock mass integrity, lithology, slope structure, main discontinuity, structural plane cementation, slope gradient and slope height.
- slope stability evaluation /
- factor analysis method /
- weight /
- evaluation index

HTML全文

参考文献(52)

李文秀. 岩土边坡稳定性的模糊测度分析

[J]. 岩土工程学报,1996,18(2): 10-16. LI Wenxiu. Fuzzy measure analysis for the stability of rock and soil slopes

曹洪洋,边亚东,袁颖. 一种新的区域滑坡影响因子敏感性分析方法研究与应用

[J]. Chinese Journal Geotechnical Engineering, 1996, 18(2): 10-16.

陈昌彦,王思敬,沈小克. 边坡岩体稳定性的人工神经网络预测模型

徐卫亚,蒋中明,石安池. 基于模糊集理论的边坡稳定性分析

[J]. 湖南科技大学学报:自然科学版,2009,24(2): 49-52. CAO Hongyang, BIAN Yadong, YUAN Yin. Appli-cation and research of a new method on sensitivity analysis of influence factors of regional landslides

吴振君,王水林,汤华,等. 一种新的边坡稳定性因素敏感性分析方法:可靠度分析方法

邵琳,林柏梁. 基于模糊综合评价的沙漠铁路环境影响评价

[J]. Journal of Hunan University of Science Technology: Natural Science Edition, 2009, 24(2): 49-52.

门宝辉,梁川. 基于变异系数权重的水质评价属性识别模型

程远,刘志彬,刘松玉,等. 基于层次分析法的大跨浅埋公路隧道施工风险识别

[J]. 岩土工程学报,2001,23(2): 157-161. CHEN Changyan, WANG Sijing, SHEN Xiaoke. Predicting models to estimate stability of rock slope based on artificial neural network

[J]. Chinese Journal of Geotechnical Engineering, 2001, 23(2): 157-161.

岑况. 地质因子分析的新进展:R-Q式因子分析及其在地学中的应用

马水山,王志旺,张漫. 滑坡监测资料的因子分析

张婷婷,晏鄂川,胡显明,等. 基于因子分析法的滑坡变形分析

[J]. 岩土工程学报,2003,25(4): 409-413. XU Weiya, JIANG Zhongming, SHI Anchi. Slope stability analysis using fuzzy sets theory

[J]. 2003, 25(4): 409-413.

张海,何明友,刘应平,等. 地质因子分析在寻找成矿地球化学信息及构造推断方面的应用

徐志军,郑俊杰,张军,等. 聚类分析和因子分析在黄土湿陷性评价中的应用

[J]. 岩石力学与工程学报,2010,29(10): 2050-2055. WU Zhenjun, WANG Shuilin, TANG Hua, et al. A new sensitivity analysis approach for slope stability: reliability analysis method

高岩. 基于因子分析的NBC及其在边坡识别中的应用

赵建军. 公路边坡稳定性快速评价方法及应用研究

[J]. Chinese Journal of Rock Mechanics and Engineering, 2010, 29(10): 2050-2055.

HORN J L. A rationale and test for the number of factors in factor analysis

KAISER H F. The varimax criterion for analytic rotation in factor analysis

[J]. 铁道学报,2009,31(5): 84-89. SHAO Lin, LIN Boliang. Environment impact assess-ment of desert railway based on fuzzy comprehensive evaluation

[J]. Journal of the China Railway Society, 2009, 31(5): 84-89.

中华人民共和国水利部. GB50218-94工程岩体分级标准

谷德振,黄鼎成. 岩体结构的分类及其质量系数的确定

[J]. 哈尔滨工业大学学报,2005,37(10): 1373-1375. MEN Baohui, LIANG Chuan. Attribute recognition model-based variation coefficient weight for evaluating water quality

[J]. Journal of Harbin Institute of Technology, 2005, 37(10): 1373-1375.

[J]. 岩土工程学报,2011,33(增刊1): 191-195. CHENG Yuan, LIU Zhibin, LIU Songyu, et al. Risk recognition of construction of large-span and shallow buried-highway tunnels based on analytic hierarchy process

[J]. Chinese Journal of Geotechnical Engineering, 2011, 33(Sup.1): 191-195.

[J]. 地质科技情报,1988,7(4): 95-104. CEN Kuang. The new progress of geological factor analysis: R-Q factor analysis and its application in the geology

[J]. Geological Science and Technology Information, 1988, 7(4): 95-104.

[J]. 岩石力学与工程学报,2002,21(7): 1003-1006. MA Shuishan, WANG Zhiwang, ZHANG Man. The factor analysis of landslide monitoring data

[J]. Chinese Journal of Rock Mechanics and Engineering, 2002, 21(7): 1003-1006.

[J]. 长江科学院院报,2012,29(4): 21-25. ZHANG Tingting, YAN Echuan, HU Xianming, et al. Landslide deformation analysis based on factor analysis

[J]. Journal of Yangtze River Scientific Research Institute, 2012, 29(4): 21-25.

[J]. 矿物学报,2009,29(增刊1): 579-580.

[J]. 岩土力学,2010,31(增刊2): 407-411. XU Zhijun, ZHENG Junjie, ZHANG Jun, et al. Application of cluster analysis and factor analysis to evaluation of loess collapsibility

[J]. Rock and Soil Mechanics, 2010, 31(Sup.2): 407-411.

[J]. 计算机工程与设计,2011,32(11): 3828-3831. GAO Yan. Naive Bayesian classifier based on factor analysis and its application to slope recognition

[J]. Computer Engineering and Design, 2011, 32(11): 3828-3831.

[D]. 成都:成都理工大学环境与土木工程学院,2007: 1-168.

[J]. Psychnmetrica, 1965,30(2): 179-185.

[J]. Psychometrika, 1958, 23(3): 187-200.

[S]. 北京:中国计划出版社,1995.

[J]. 水文地质工程地质,1979(2): 8-13. GU Dezhen, HUANG Dingcheng. Classification of rock mass structure and determination of the quality factor

[J]. Hydrogeology and Engineering Geology, 1979(2): 8-13.

施引文献

附加材料(0)

访问统计