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有色金属(矿山部分):2021,73(2):32-38
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熵权属性未确知测度的边坡治理稳定性评价
刘 博1,李庶林1,2,彭府华1
((1.长沙矿山研究院,长沙 410012; 2.厦门大学 土木建筑与土木工程学院,福建 厦门 361005))
Stability evaluation of slope strengthening governance based on uncertainty measure of entropy weight attribute
LIU Bo1, LI Shulin1,2, PENG Fuhua1
((1.Changsha Institute of Mining Research Co., Ltd, Changsha 410012, China; 2.School of Civil Architecture and Civil Engineering, Xiamen University,Xiamen Fujian 361005, China))
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投稿时间:2020-06-15    修订日期:2020-06-24
中文摘要: 边坡稳定是边坡工程的最终目的之一,但稳定性评价是一个多因素且动态复杂的非线性问题。基于未确知测度理论,建立露天边坡在治理前后的稳定性评价体系。从地形地貌、水文气象、岩体物理力学性质和工程因素等四个方面综合选取影响边坡稳定性的10项指标,根据某露天边坡在治理前后的指标值建立各指标的未确知测度函数,并利用熵权理论确定各指标权重,得出边坡在治理前后的稳定性评价结果。结果表明,熵权属性的未确知测度理论方法科学合理,评价结果与边坡治理前后的实际形态相符。
Abstract:The stability of slope is one of the ultimate goals of slope engineering, and the stability evaluation is a multi-factor and dynamic complex nonlinear problem. Based on the uncertainty measure theory, the stability evaluation systems of the open edge before and after treatment were established. Ten indexes affecting slope stability were selected from four aspects: topographical features, hydrology and meteorology, physical and mechanical properties of rock mass and engineering factors. Also, the uncertainty measure function of each index according to the index value of an open slope before and after treatment was established. The entropy weight theory was used to determine the weight of each index, to obtain the stability evaluation results of the slope before and after treatment. The results showed that the uncertainty measure theory of entropy weight attribute was scientific and reasonable; and the evaluation result was consistent with the actual form before and after the slope treatment, and is considered to be safe according to the treatment scheme.
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刘 博,李庶林,彭府华.熵权属性未确知测度的边坡治理稳定性评价[J].有色金属(矿山部分),2021,73(2):32-38.
LIU Bo,LI Shulin,PENG Fuhua.Stability evaluation of slope strengthening governance based on uncertainty measure of entropy weight attribute[J].NONFERROUS METALS(Mining Section),2021,73(2):32-38.

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