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    Examination of Multivariate Dependency Structure in Soil Parameters

    New search for: Phoon, Kok-Kwang
    New search for: Ching, Jianye
    New search for: Huang, Hongwei

    A typical site investigation involves sampling for laboratory tests and a variety of field tests. In other words, it is common to measure more than two soil parameters. The literature is replete with correlation equations between two soil parameters. Consistent synthesis of more than two soil parameters through construction of a multivariate probability distribution function is rare, despite obvious practical usefulness of such an approach. This paper examines the feasibility of modifying the well known multivariate normal distribution to model the dependency structure of soil parameters in two databases.

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    Examination of Multivariate Dependency Structure in Soil Parameters

    New search for: Phoon, Kok-Kwang
    New search for: Ching, Jianye
    New search for: Huang, Hongwei

    A typical site investigation involves sampling for laboratory tests and a variety of field tests. In other words, it is common to measure more than two soil parameters. The literature is replete with correlation equations between two soil parameters. Consistent synthesis of more than two soil parameters through construction of a multivariate probability distribution function is rare, despite obvious practical usefulness of such an approach. This paper examines the feasibility of modifying the well known multivariate normal distribution to model the dependency structure of soil parameters in two databases.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Examination of Multivariate Dependency Structure in Soil Parameters

    New search for: Phoon, Kok-Kwang
    New search for: Ching, Jianye
    New search for: Huang, Hongwei

    A typical site investigation involves sampling for laboratory tests and a variety of field tests. In other words, it is common to measure more than two soil parameters. The literature is replete with correlation equations between two soil parameters. Consistent synthesis of more than two soil parameters through construction of a multivariate probability distribution function is rare, despite obvious practical usefulness of such an approach. This paper examines the feasibility of modifying the well known multivariate normal distribution to model the dependency structure of soil parameters in two databases.

    Access

    Check access
    Check availability in my library
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    Access

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    Document information
    Title:

    Examination of Multivariate Dependency Structure in Soil Parameters

    Contributors:

    Phoon, Kok-Kwang (author) / Ching, Jianye (author) / Huang, Hongwei (author)

    Conference:

    GeoCongress 2012 ; 2012 ; Oakland, California, United States

    Published in:

    GeoCongress 2012 ; 2952-2960

    Publication date:

    2012-03-29

    ISBN:

    9780784412121

    DOI:

    https://doi.org/10.1061/9780784412121.302

    Type of media:

    Conference paper

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Geotechnical engineering , Unsaturated soils , Soil stabilization , Laboratory tests , Foundations , Pavements , Databases , In situ tests , Soil properties , Field tests

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