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    Characterization of Autocovariance Parameters for Horizontal and Vertical Trends and Spatial Variabilities from a Three-Dimensional CPT Database

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 003::page 04025035-1
    Author:
    Jianye Ching
    ,
    Yong-Keng Tan
    ,
    Noorul Hadi
    ,
    Ikumasa Yoshida
    DOI: 10.1061/AJRUA6.RUENG-1558
    Publisher: American Society of Civil Engineers
    Abstract: This paper compiles a large cone penetration test (CPT) database, named CPT3D/3/2577, to investigate the horizontal and vertical autocovariance structures of soil spatial variation. It contains three CPT parameters (cone tip resistance, sleeve friction, and porewater pressure) from 2,577 soundings taken at 186 sites. Nearly all sites are extracted from the New Zealand Geotechnical Database. The database contains sites with multiple CPTs with known horizontal (x–y) coordinates, so not only the vertical autocovariance parameters [such as scale of fluctuation (SOF) and smoothness] but also the horizontal ones can be investigated. The cone tip resistance data from multiple CPTs at each site are analyzed by a random field model whose trend is explicitly modeled, enabling the characterization of the autocovariance parameters for both the spatial variability part (ε) and trend part (t). The identification results of the 186 sites indicate that the vertical SOF for ε varies in a narrow range, but the ratio of horizontal to vertical SOF for ε varies in a wide range (from 1 to 100). The results also indicate that the horizontal SOF for t is large (easily exceeding tens to hundreds of meters), but the vertical SOF for t is much smaller (sometimes only a few meters). The practical implications of these identification results are also discussed.
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      Characterization of Autocovariance Parameters for Horizontal and Vertical Trends and Spatial Variabilities from a Three-Dimensional CPT Database

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    contributor authorJianye Ching
    contributor authorYong-Keng Tan
    contributor authorNoorul Hadi
    contributor authorIkumasa Yoshida
    date accessioned2025-08-17T22:35:06Z
    date available2025-08-17T22:35:06Z
    date copyright9/1/2025 12:00:00 AM
    date issued2025
    identifier otherAJRUA6.RUENG-1558.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307147
    description abstractThis paper compiles a large cone penetration test (CPT) database, named CPT3D/3/2577, to investigate the horizontal and vertical autocovariance structures of soil spatial variation. It contains three CPT parameters (cone tip resistance, sleeve friction, and porewater pressure) from 2,577 soundings taken at 186 sites. Nearly all sites are extracted from the New Zealand Geotechnical Database. The database contains sites with multiple CPTs with known horizontal (x–y) coordinates, so not only the vertical autocovariance parameters [such as scale of fluctuation (SOF) and smoothness] but also the horizontal ones can be investigated. The cone tip resistance data from multiple CPTs at each site are analyzed by a random field model whose trend is explicitly modeled, enabling the characterization of the autocovariance parameters for both the spatial variability part (ε) and trend part (t). The identification results of the 186 sites indicate that the vertical SOF for ε varies in a narrow range, but the ratio of horizontal to vertical SOF for ε varies in a wide range (from 1 to 100). The results also indicate that the horizontal SOF for t is large (easily exceeding tens to hundreds of meters), but the vertical SOF for t is much smaller (sometimes only a few meters). The practical implications of these identification results are also discussed.
    publisherAmerican Society of Civil Engineers
    titleCharacterization of Autocovariance Parameters for Horizontal and Vertical Trends and Spatial Variabilities from a Three-Dimensional CPT Database
    typeJournal Article
    journal volume11
    journal issue3
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1558
    journal fristpage04025035-1
    journal lastpage04025035-16
    page16
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 003
    contenttypeFulltext
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