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OALib Journal期刊
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-  2018 

基于ANP和扩展TOPSIS法的青藏铁路冻土路基安全性分析
The safety analysis of the Qinghai-Tibet railway permafrost subgrade based on ANP and the extension of TOPSIS method

Keywords: ANP结构,Super Decision,扩展TOPSIS,灰色关联度,路基安全性
ANP
, Super Decision, extension of TOPSIS, grey correlation degree, subgrade security

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Abstract:

为合理全面确定各影响因子及其权重,客观分析青藏铁路冻土路基安全性,基于ANP结构模型和扩展TOPSIS方法建立青藏铁路冻土路基安全性分析模型。模型选取7个典型监测断面,确定17个主要影响因子,利用ANP结构模型并基于Super Decision软件分析各因子权重,然后基于扩展TOPSIS方法计算各监测断面的灰色关联度,得出各监测断面的安全性排序。将分析结果与已有成果进行对比,结果基本一致;将评价结果与实际对比分析可知,7个监测断面的安全性与现场情况高度吻合。利用所提出的模型进行路基安全性分析是有效的。
For the purpose of legitimately and comprehensively determining the influencing factors and their weights, and objectively analyzing the security of the Qinghai-Tibet Railway permafrost subgrade, this paper established a safety analysis model of the Qinghai-Tibet Railway permafrost subgrade based on ANP and the extension of TOPSIS method. This model selected 7 typical monitoring sections, determined 17 main influencing factors, adopted the ANP model and analyze the weights of each influencing factors based on the Super Decision software. Then the grey correlation degree of each monitoring section is calculated based on the extended TOPSIS method and finally the safety classification of monitoring sections is given out. It has been proved that the analytical results are identical to the existing results and the safety of the 7 monitoring sections is highly consistent with the site conditions according to the comparison of the evaluation result and the actual situation. Consequently, it is very effective to use the proposed model to analyze the safety of subgrade

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