2020Soil Mechanics and Foundation EngineeringOpen access

Sensitivity of High Fill Slope Stability Factors under Seismic Conditions

Huang Anping, Shuaihua Ye

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Abstract

An evaluation method based on vector similarity is introduced to determine the sensitivity of stability factors of high fill slope under seismic action in this paper. The Euclidean similarity and cosine similarity of slope stability factors are calculated. In addition, grey relational analysis method is used to calculate the case, and the three calculation results are compared. The results show that the sensitivity ranking results of high fill slope stability factors obtained by cosine similarity and grey correlation analysis are consistent, and slightly different from those obtained by Euclidean similarity. This indicates that cosine similarity method is more suitable for sensitivity evaluation of high fill slope stability factors than Euclidean similarity method.

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What this paper is about

An evaluation method based on vector similarity is introduced to determine the sensitivity of stability factors of high fill slope under seismic action in this paper. The Euclidean similarity and cosine similarity of slope stability factors are calculated. In addition, grey relational analysis method is used to calculate the case, and the three calculation results are compared. The results show that the sensitivity ranking results of high fill slope stability factors obtained by cosine similarity and grey correlation analysis are consistent, and slightly different from those obtained by Euclidean similarity. This indicates that cosine similarity method is more suitable for sensitivity evaluation of high fill slope stability factors than Euclidean similarity method.

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Available abstract

An evaluation method based on vector similarity is introduced to determine the sensitivity of stability factors of high fill slope under seismic action in this paper. The Euclidean similarity and cosine similarity of slope stability factors are calculated. In addition, grey relational analysis method is used to calculate the case, and the three calculation results are compared. The results show that the sensitivity ranking results of high fill slope stability factors obtained by cosine similarity and grey correlation analysis are consistent, and slightly different from those obtained by Euclidean similarity. This indicates that cosine similarity method is more suitable for sensitivity evaluation of high fill slope stability factors than Euclidean similarity method.

Key concepts: Similarity (geometry), Euclidean distance, Sensitivity (control systems), Stability (learning theory), Mathematics, Ranking (information retrieval), Cosine similarity, Trigonometric functions

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