Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Development of a model for analysis of slope stability for circular mode failure using genetic algorithm

    Access Status
    Fulltext not available
    Authors
    Manouchehrian, A.
    Gholamnejad, J.
    Sharifzadeh, Mostafa
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Manouchehrian, A. and Gholamnejad, J. and Sharifzadeh, M. 2014. Development of a model for analysis of slope stability for circular mode failure using genetic algorithm. Environmental Earth Sciences. 71 (3): pp. 1267-1277.
    Source Title
    Environmental Earth Sciences
    DOI
    10.1007/s12665-013-2531-8
    ISSN
    1866-6280
    URI
    http://hdl.handle.net/20.500.11937/39979
    Collection
    • Curtin Research Publications
    Abstract

    Slope stability estimation is an engineering problem that involves several parameters. The interactions between factors that affect slope instability are complex and multi-factorial, so often it is difficult to describe the slope stability mathematically. This paper, proposes the use of a genetic algorithm (GA) as a heuristic search method to find a regression model for analyzing the slope stability. For this purpose, an evolutionary algorithm based on GA was used to develop a regression model for prediction of factor of safety (FS) for circular mode failure. The proposed GA uses the root mean squared error as the fitness function and searches among a large number of possible regression models to choose the best for estimation of FS from six geotechnical and geometrical parameters. For validation of the model and checking its efficiency, a validation dataset was used to evaluate FS using the proposed model and a previously developed mathematical GA based model in the literature. Results have shown that the presented model in this study was capable of evaluating FS at a higher level of confidence regarding the other model (R = 0.89 for presented model in this study comparing R = 0.78 for the other model) and can be efficient enough to be used as a simple mathematical tool for evaluation of factor of safety for circular mode failure especially in preliminary stages of the designing phase.

    Related items

    Showing items related by title, author, creator and subject.

    • Accuracy Assessment of Unmanned Aerial Vehicle (UAV) Structure from Motion Photogrammetry Compared with Total Station for a Deformed Slope
      Loo, Vera ; Wong, Chou Khong (2020)
      Unmanned Aerial Vehicle (UAV) has been widely used for slope stability analysis. The objective of this research is to test the digital surface model (DSM) results generated from UAV images with the data acquired from total ...
    • Uncertainty and Reliability Analysis of Open Pit Rock Slopes: A Critical Review of Methods of Analysis
      Abdulai, M.; Sharifzadeh, Mostafa (2018)
      © 2018, Springer Nature Switzerland AG. The stability analyses of slope excavations in rock mass require reliable geomechanical input parameters such as rock mass strength, friction angle and cohesion of sliding surface. ...
    • Soil Slope Stability Techniques: A Comprehensive Analysis
      Azimi, Seyed Reza (2016)
      The slope failure is a dangerous phenomenon for natural or man-made slopes. Such failures can be assess by different numerical or limit state methods. However, other new techniques can be utilized to simulate the slope ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.