基于多重属性区间数决策模型的边坡整体稳定性分析

为了研究边坡的整体稳定性状况,通过构建多重属性区间数决策模型以实现边坡整体稳定性分析。依据官家边坡实际地质条件和工程剖面情况,建立影响因素集与研究对象集,采用多重属性区间数决策模型进行其整体稳定性分析和反馈其所处的安全稳定状态,并引用边坡宏观破坏迹象予以对比验证。研究结果表明:经模型求解确定表征边坡整体稳定性变化情况的稳定系数区间为0.927,1.032],其发生滑动失稳破坏的概率可达70%;边坡整体稳定性差、安全程度低,处于不稳定的危险状态,具有变形进一步增大和滑动失稳的趋势,迹象较为明显。目前的活动状态下边坡发生失稳破坏的可能性大,为维持其安全、稳定和可靠,需进行综合治理。由此可见,该决策模型可为边坡灾害状态反馈和防治对策提供可行的技术平台,具有积极的指导意义。

GLOBAL STABILITY ANALYSIS OF SLOPE BASED ON DECISION- MAKING MODEL OF MULTI-ATTRIBUTE AND INTERVAL NUMBER

In order to study the status of global stability of a slope，the decision-making model of multi-attribute and interval number is constructed to carry out global stability analysis of slope. With this method，the research process can be realized. According to the actual geological conditions and the situation of engineering sections of Guanjia slope，the set of influence factors and research objects are established，and the decision-making model of multi-attribute and interval number is adopted，and the safe and stable states of slope are back analyzed. Moreover，the macroscopic signs of slope failure are referenced to perform comparison and verification. The research results show that through the model solution，the interval of global stability factor which can characterize the changing situation of global stability of slope ranges from 0.927 to 1.032，and the probability of sliding instability or failure is up to 70%. The slope，which has poor global stability and low safety level，is in an unstable state，and the tread of deformation expansion and sliding instability is obvious. In addition，the current active state of slope indicates that it has high possibility of sliding instability or failure. In order to maintain safety，stability and reliability of slope，it is noted that comprehensive treatment should be carried out for the slope. Thus it is shown that the decision-making model of multi-attribute and interval number can provide a feasible technical platform for state feedback and prevention countermeasures of slope disaster，which has positive guiding significance.