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    A review of artificial intelligence applications in shallow foundations

    212583_138559_Pub_ID_84880.pdf (385.5Kb)
    Access Status
    Open access
    Authors
    Shahin, Mohamed
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Shahin, M. 2015. A review of artificial intelligence applications in shallow foundations. International Journal of Geotechnical Engineering. 9 (1): pp. 49-60.
    Source Title
    International Journal of Geotechnical Engineering
    DOI
    10.1179/1939787914Y.0000000058
    ISSN
    1938-6362
    School
    Department of Civil Engineering
    URI
    http://hdl.handle.net/20.500.11937/5992
    Collection
    • Curtin Research Publications
    Abstract

    Geotechnical engineering deals with materials (e.g. soil and rock) that, by their very nature, exhibit varied and uncertain behavior because of the imprecise physical processes associated with the formation of these materials. Modeling the behavior of such materials in geotechnical engineering applications is complex and sometimes beyond the ability of most traditional forms of physically based engineering methods. Artificial intelligence (AI) is becoming more popular and particularly amenable to modeling the complex behavior of most geotechnical engineering applications, including foundations, because it has demonstrated superior predictive ability compared to traditional methods. The main aim of this paper is to review the AI applications in shallow foundations and present the salient features associated with the AI modeling development. The paper also discusses the strengths and limitations of AI techniques compared to other modeling approaches.

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