Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability

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  • Additional Information
    • Publication Information:
      Hindawi Limited, 2019.
    • Publication Date:
      2019
    • Collection:
      LCC:Engineering (General). Civil engineering (General)
      LCC:Mathematics
    • Abstract:
      With the rapid development of China’s economy, the construction of infrastructure has continuously improved. In the past few years, the construction of water conservancy projects has been constantly developing, and related geological disasters have become increasingly prominent. The stability of water conservancy slopes is related to whether water conservancy projects can be safely constructed and built to function safely and effectively, which has become a topic of increasing concern for geologists and related researchers. This paper selects the Jinping 1 Hydropower Station in Sichuan, China, for analysis. Four categories of evaluation factors (geological, engineering, environmental, and monitoring) and 24 subfactors (17 quantitative indicators and 7 qualitative indicators) are selected to ascertain the risk of the slope more accurately. By investigating the deficiencies of the traditional cloud model, the related concepts and computational models of a finite-area cloud model are proposed. By obtaining the characteristic parameters, the degrees of membership of the measurement samples belonging to different risk levels are further obtained. The weights of the indicators determined by the cloud processor and the weighted distance discriminant method are used to determine the final weights and achieve a final classification of the slope stability level. The research results demonstrate that the weighted distance discriminant algorithm combined with the improved finite-interval cloud model can consider the comprehensive information of each evaluation index and the degrees of mutual influence between the indicators, making the evaluation results more objective. Moreover, the proposed approach can quickly and accurately classify slope stability and deliver a prediction of the safety, thereby providing new ideas for evaluating the stability of slopes.
    • File Description:
      electronic resource
    • ISSN:
      1024-123X
      1563-5147
    • Relation:
      https://doaj.org/toc/1024-123X; https://doaj.org/toc/1563-5147
    • Accession Number:
      10.1155/2019/8315894
    • Rights:
      Journal Licence: CC BY
    • Accession Number:
      edsdoj.5e7ef690fb9549f79c53ef5a8c13229f
  • Citations
    • ABNT:
      JIANG GUO; JIACHUANG WANG; SHIHAO LIU. Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability. Mathematical Problems in Engineering, [s. l.], 2019. Disponível em: . Acesso em: 18 set. 2019.
    • AMA:
      Jiang Guo, Jiachuang Wang, Shihao Liu. Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability. Mathematical Problems in Engineering. 2019. doi:10.1155/2019/8315894.
    • APA:
      Jiang Guo, Jiachuang Wang, & Shihao Liu. (2019). Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability. Mathematical Problems in Engineering. https://doi.org/10.1155/2019/8315894
    • Chicago/Turabian: Author-Date:
      Jiang Guo, Jiachuang Wang, and Shihao Liu. 2019. “Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability.” Mathematical Problems in Engineering. doi:10.1155/2019/8315894.
    • Harvard:
      Jiang Guo, Jiachuang Wang and Shihao Liu (2019) ‘Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability’, Mathematical Problems in Engineering. doi: 10.1155/2019/8315894.
    • Harvard: Australian:
      Jiang Guo, Jiachuang Wang & Shihao Liu 2019, ‘Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability’, Mathematical Problems in Engineering, viewed 18 September 2019, .
    • MLA:
      Jiang Guo, et al. “Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability.” Mathematical Problems in Engineering, 2019. EBSCOhost, doi:10.1155/2019/8315894.
    • Chicago/Turabian: Humanities:
      Jiang Guo, Jiachuang Wang, and Shihao Liu. “Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability.” Mathematical Problems in Engineering, 2019. doi:10.1155/2019/8315894.
    • Vancouver/ICMJE:
      Jiang Guo, Jiachuang Wang, Shihao Liu. Application of an Improved Cloud Model and Distance Discrimination to Evaluate Slope Stability. Mathematical Problems in Engineering [Internet]. 2019 [cited 2019 Sep 18]; Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.5e7ef690fb9549f79c53ef5a8c13229f&custid=s8280428