土工基础

›› 2016, Vol. 30 ›› Issue (2): 209-213.

• 工程实录 • 上一篇    下一篇

基于改进正交设计的黄土边坡稳定影响因素敏感性分析

侯文萃1，辛全才2   

  1. （1.吕梁学院建筑系，山西吕梁 033000；2.西北农林科技大学水建学院，陕西杨凌 712100）
  • 收稿日期:2015-12-03 出版日期:2016-04-20 发布日期:2016-04-27
  • 作者简介:侯文萃（1984-），女，助教，硕士，研究方向为环境岩土工程。

Loess Slope Stability Analysis Using Improved Orthogonal Method

HOU Wencui1, XIN Quancai2   

  1. (1.Department of Architecture, Lvliang University, Lvliang 033000;
    2.College of Water Resources &Architectural, Northwest A&F University, Yangling 712100)
  • Received:2015-12-03 Online:2016-04-20 Published:2016-04-27

摘要： 影响边坡稳定性的因素多而复杂，且影响程度不相同。以山西岢岚一黄土边坡为例，以常规正交试验设计分析为基础，结合灰色关联法，采用基于灰色关联法的改进正交试验设计法，并运用ADINA软件建立计算模型，分析了坡高、坡比、重度、黏聚力、内摩擦角和坡顶荷载6种因素对该边坡安全系数的敏感性。结果表明：该边坡岩土体强度参数、坡比和坡高对边坡安全系数影响最大，坡顶荷载和重度对安全系数影响最小。据此提出有针对性的边坡设计措施：该区域边坡稳定性分析时应尽量选取合理准确的强度指标，同时也应考虑坡高和坡比的影响。该结论可为晋北黄土丘陵沟壑区（Ⅰa区）的黄土边坡设计与加固提供一定的参考依据。

关键词: 黄土边坡, 正交试验法, 灰色关联法, 改进正交试验法, 敏感性

Abstract: There are many factors that be influence the stability of soil slopes and these factors have different degrees of influence. This paper presents a case history of the stability evaluation of a loess soil slope in Kelan, Shanxi Province. The stability analysis is performed using the improved orthogonal method. This improved method is based on the conventional orthogonal design method and is combined with the grey correlation method. The analytical model was established with software ADINA and the model sensitivity to the parameters, such as, slope height, slope angle, unit weight, cohesion, internal friction angle and surcharge at the crest, are studied. The results indicate that, the strength parameters of the slope, slope ratio and the slope height have the significant impact on the safety of the slope. The surcharge and the unit weight of the soil has less impact. The appropriate slope stability design is then recommended: the reliable strength parameters should be selected in the design. The slope ratio and slope height should also be considered in the design.

Key words:  Loess Slopes, Orthogonal Design Method, Grey Correlation Method, Improved Orthogonal Method, Sensitivity