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Impact of soil spatial variability on spudcan penetration resistance and mobilized shear strength.

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Title: Impact of soil spatial variability on spudcan penetration resistance and mobilized shear strength.
Authors: Yi, Jiang Tao1 (AUTHOR), Li, Hao Ran1 (AUTHOR) Izzy-Lee@outlook.com, Liu, Ji Zhou1 (AUTHOR), Li, Si Yu2 (AUTHOR), Tang, Hong Yu1 (AUTHOR), Han, Xiao1 (AUTHOR), Ran, Jing Nian1 (AUTHOR)
Source: Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards. Mar2026, Vol. 20 Issue 1, p319-336. 18p.
Subjects: Shear strength, Soils, Finite element method, Random fields, Building foundations, Monte Carlo method, Geotechnical engineering
Abstract: Spudcans are widely used in the oil and gas industry to support mobile jack-up platforms by penetrating the seabed. Due to the complex geological formation processes, natural marine soils exhibit significant spatial variability in key properties. Despite advances in recent years, most stochastic analyses of offshore foundations have been limited to small-strain calculations. Attempts at large-deformation random finite element analyses have been made, but they are not yet exhaustive. This paper presents a comprehensive three-dimensional large-deformation finite-element analysis within a Monte Carlo simulation framework, incorporating random field theory. Various combinations of coefficient of variation, vertical, and horizontal autocorrelation lengths are explored. The load-displacement curves of the spudcan in random soil are found to exhibit both a global deterministic trend and local variability. By developing the mobilised shear strength ratio, deterministic trends can be removed, allowing focus on local variability. The log-normal distribution function can well capture the characteristics of the distribution of mobilised shear strength ratio probability. A closed-form expression is established for determining the characteristic shear strength and its associated design parameters. This expression provides a robust probabilistic framework for estimating characteristic shear strength, enhancing the reliability of geotechnical design practices. [ABSTRACT FROM AUTHOR]
Copyright of Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 191654319
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Impact of soil spatial variability on spudcan penetration resistance and mobilized shear strength.
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  Data: <searchLink fieldCode="DE" term="%22Shear+strength%22">Shear strength</searchLink><br /><searchLink fieldCode="DE" term="%22Soils%22">Soils</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Random+fields%22">Random fields</searchLink><br /><searchLink fieldCode="DE" term="%22Building+foundations%22">Building foundations</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Geotechnical+engineering%22">Geotechnical engineering</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Spudcans are widely used in the oil and gas industry to support mobile jack-up platforms by penetrating the seabed. Due to the complex geological formation processes, natural marine soils exhibit significant spatial variability in key properties. Despite advances in recent years, most stochastic analyses of offshore foundations have been limited to small-strain calculations. Attempts at large-deformation random finite element analyses have been made, but they are not yet exhaustive. This paper presents a comprehensive three-dimensional large-deformation finite-element analysis within a Monte Carlo simulation framework, incorporating random field theory. Various combinations of coefficient of variation, vertical, and horizontal autocorrelation lengths are explored. The load-displacement curves of the spudcan in random soil are found to exhibit both a global deterministic trend and local variability. By developing the mobilised shear strength ratio, deterministic trends can be removed, allowing focus on local variability. The log-normal distribution function can well capture the characteristics of the distribution of mobilised shear strength ratio probability. A closed-form expression is established for determining the characteristic shear strength and its associated design parameters. This expression provides a robust probabilistic framework for estimating characteristic shear strength, enhancing the reliability of geotechnical design practices. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/17499518.2025.2516258
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 319
    Subjects:
      – SubjectFull: Shear strength
        Type: general
      – SubjectFull: Soils
        Type: general
      – SubjectFull: Finite element method
        Type: general
      – SubjectFull: Random fields
        Type: general
      – SubjectFull: Building foundations
        Type: general
      – SubjectFull: Monte Carlo method
        Type: general
      – SubjectFull: Geotechnical engineering
        Type: general
    Titles:
      – TitleFull: Impact of soil spatial variability on spudcan penetration resistance and mobilized shear strength.
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            NameFull: Yi, Jiang Tao
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            NameFull: Li, Hao Ran
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            NameFull: Liu, Ji Zhou
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            NameFull: Li, Si Yu
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            NameFull: Tang, Hong Yu
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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              Value: 20
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            – TitleFull: Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards
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