基于改进属性识别模型的塔基山坡稳定性评价方法

doi:10.13722/j.cnki.jrme.2015.0322

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Abstract The hillsides under the transmission towers have the characteristics including little investigation information and no supporting measures. Stability of the hillsides under transmission towers is one of the important factors for the normal operation of transmission lines. The stability evaluation of hillsides is realized based on an improved attribute recognition model. Firstly，according to influence factors of hillsides instability in a certain area，hillside angle，landform，vegetation development characteristics，rock mass and soil characteristics，incident angle of rainfall，weathering and degree of human activity are selected as the stability evaluation indicators of hillsides. The comprehensive empowering method is used to determine the weight of the evaluation indicators. Then the single index attribute measurement functions of the highest level and second highest level in the grading criteria are analyzed and presented in detail to be more formal so that all attribute measurement functions are rigorously constructed to compute attribute measurement of single index. Finally，the stability identification and classification of hillsides under the transmission towers are recognized by Grey Relational Analysis. This method is applied to the hillsides under the transmission towers in Zhongshan，and the assessment results do agree well with the results of the practical condition，so as to provide an effective method for the stability evaluation of hillside under the transmission tower.

Key words： slope engineering transmission tower hillside attribute recognition grey correlation degree stability evaluation

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	Articles by authors
	WU Yijiang1
	CHEN Bo2
	RUAN Hang2
	WANG Ganjun1
	NIE Wenxiang1

Cite this article:

WU Yijiang1,CHEN Bo2,RUAN Hang2, et al. Stability evaluation of hillside under the transmission tower based on improved attribute recognition model[J]. , 2016, 35(S1): 3138-3146.

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https://rockmech.whrsm.ac.cn/EN/10.13722/j.cnki.jrme.2015.0322 OR https://rockmech.whrsm.ac.cn/EN/Y2016/V35/IS1/3138

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