A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Rock slopes are always distributed along roads, due to the discreted distribution and small scale, detailed mechanics parameters of the slopes are difficult to obtain. Thus, the existing analysis methods, like Q-system classification, RMR classification, SMR evaluation system, and CSMR method are not suitable for analyzing rock slopes. In this paper, an evaluation model for slope stability classification of ordinary roads in Liaoning province is proposed based on two-level fuzzy comprehensive evaluation. Thirteen genes that belongs to four factors are selected as predictive factors for the evaluation model. Membership is assessed by expert assessment method and the weight value of affecting factors is determined by inverse analysis method in evaluation model. A total number of 129 rock slopes is studied using this model and results are consistent with the experts' in situ evaluation, which proves this method reasonable and practical.
Rock slopes are always distributed along roads, due to the discreted distribution and small scale, detailed mechanics parameters of the slopes are difficult to obtain. Thus, the existing analysis methods, like Q-system classification, RMR classification, SMR evaluation system, and CSMR method are not suitable for analyzing rock slopes. In this paper, an evaluation model for slope stability classification of ordinary roads in Liaoning province is proposed based on two-level fuzzy comprehensive evaluation. Thirteen genes that belongs to four factors are selected as predictive factors for the evaluation model. Membership is assessed by expert assessment method and the weight value of affecting factors is determined by inverse analysis method in evaluation model. A total number of 129 rock slopes is studied using this model and results are consistent with the experts' in situ evaluation, which proves this method reasonable and practical.
The Rock Slopes Classification Research of Ordinary Roads in Liaoning Province
2013
5 Seiten
Conference paper
English
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