长江科学院院报 ›› 2015, Vol. 32 ›› Issue (7): 94-98.DOI: 10.3969/j.issn.1001-5485.2015.07.017

• 岩土工程 • 上一篇    下一篇

基于灰色关联度的黄土边坡稳定性因素敏感性分析

赵永虎1, 刘高1, 2, 毛举1, 陈龙飞1, 魏蒙恩1   

  1. 1.兰州大学 土木工程与力学学院,兰州 730000;
    2.西部灾害与环境力学教育部重点实验室,兰州 730000
  • 收稿日期:2014-06-06 出版日期:2015-07-01 发布日期:2015-07-07
  • 通讯作者: 刘高(1970-),男,重庆开县人,教授,硕士生导师,主要从事岩石力学与工程、工程地质等方面的教学与研究工作,(电话)0931-8912316(电子信箱)liugaocf@lzu.edu.cn。
  • 作者简介:赵永虎(1987-),男,甘肃临夏人,硕士研究生,主要从事岩土体试验研究方面的工作,(电话) 0931-8912316 (电子信箱)zhaoyh2012@lzu.edu.cn。
  • 基金资助:
    国家重大基础研究发展计划(973计划)项目(2014CB744700)

Sensitivity Analysis for the Stability of Loess Slope Based on Grey Correlation Degree

ZHAO Yong-hu1,LIU Gao1,2, MAO Ju1,CHEN Long-fei1,WEI Meng-en1   

  1. 1.School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China;
    2.Key Laboratory of Mechanics on Disaster and Environment in Western China, Ministry of Education, Lanzhou 730000, China
  • Received:2014-06-06 Published:2015-07-01 Online:2015-07-07

摘要: 敏感性分析是黄土边坡稳定性研究的一个重要方面。基于灰色关联分析理论,以兰州地区的黄土边坡为工程实例,采用灰色关联度分析坡高、坡率、重度、黏聚力、内摩擦角和地震作用6个不相关因素对黄土边坡安全系数敏感性的影响。研究结果表明:黏聚力和内摩擦角的变化对黄土边坡稳定性的影响最敏感,其次是重度和地震作用,而坡高和坡率对其影响则相对较小。灰色关联度法可较精确直观地表示各参数对稳定性系数的影响程度,能将分析结果定量化,并能清楚地显示出主要因素和次要因素,是一种既简单又实用的分析方法。研究成果为兰州地区类似黄土边坡的防护治理和设计提供重要参考。

关键词: 黄土边坡, 边坡稳定性, 灰色关联分析法, 关联度, 敏感性分析

Abstract: Sensitivity analysis is an important aspect in the research of loess slope stability. Based on the theory of grey correlation analysis, six factors including slope height, slope ratio, bulk density, cohesive force, internal friction angle and earthquake action were considered in studying the effect on the stability of loess slope. The loess slope of Lanzhou area was taken as a case study. Results show that cohesive force and internal friction angle have the most sensitive effect on the stability of loess slope, followed by bulk density and seismic action; while the influences of slope height and slope ratio are insignificant. Grey correlation degree method is convenient and practical for the stability analysis of loess slope as it accurately reflects the degree of factors affecting the safety coefficient, and moreover, the analysis results can be quantified and the primary and secondary factors are clearly identified. The conclusion provides reference for the treatment and design of loess slope in Lanzhou.

Key words: loess slope, slope stability, grey correlation analysis, correlative degree, sensitivity analysis

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