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Numerical modeling of clay-rich submarine landslides using a novel material point method coupled with computational fluid dynamics.

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Title: Numerical modeling of clay-rich submarine landslides using a novel material point method coupled with computational fluid dynamics.
Authors: Sørlie, Erik R1 (AUTHOR) erik.sorlie@ntnu.no, Tran, Quoc A1 (AUTHOR), Eiksund, Gudmund R1 (AUTHOR), Degago, Samson A1,2 (AUTHOR)
Source: Landslides. Aug2025, Vol. 22 Issue 8, p2503-2518. 16p.
Subjects: Material point method, Computational fluid dynamics, Strain rate, Bedrock, Hydraulic couplings, Landslides
Abstract: Submarine landslides present significant hazards to offshore and nearshore environments. This study presents a novel approach to numerically simulate clay-rich submarine landslide events using a recently developed coupled material point method and computational fluid dynamics (MPM-CFD). The landslide events are modeled from their initiation to deposition. In this method, the soils and bedrock are represented by material point method (MPM), while water and air are modeled by computational fluid dynamics (CFD). The constitutive soil model accounts for both strain softening and strain rate dependency. The method can investigate the interaction with the ambient water, the transition from intact to remolded soils, seabed entrainment, and retrogressive and progressive release mechanisms. This study demonstrated that the MPM-CFD method can successfully replicate submarine slides in both model test experiments and a well-characterized field event. In both cases, the soil parameters are determined from detailed site-specific field and laboratory tests. The numerical simulations successfully replicated the results under both conditions. Consequently, the capability of the model to make class-A predictions makes it as a highly promising framework for predicting future submarine landslide events. [ABSTRACT FROM AUTHOR]
Copyright of Landslides is the property of Springer Nature 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.)
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  Data: Numerical modeling of clay-rich submarine landslides using a novel material point method coupled with computational fluid dynamics.
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  Data: <searchLink fieldCode="JN" term="%22Landslides%22">Landslides</searchLink>. Aug2025, Vol. 22 Issue 8, p2503-2518. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Material+point+method%22">Material point method</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Strain+rate%22">Strain rate</searchLink><br /><searchLink fieldCode="DE" term="%22Bedrock%22">Bedrock</searchLink><br /><searchLink fieldCode="DE" term="%22Hydraulic+couplings%22">Hydraulic couplings</searchLink><br /><searchLink fieldCode="DE" term="%22Landslides%22">Landslides</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Submarine landslides present significant hazards to offshore and nearshore environments. This study presents a novel approach to numerically simulate clay-rich submarine landslide events using a recently developed coupled material point method and computational fluid dynamics (MPM-CFD). The landslide events are modeled from their initiation to deposition. In this method, the soils and bedrock are represented by material point method (MPM), while water and air are modeled by computational fluid dynamics (CFD). The constitutive soil model accounts for both strain softening and strain rate dependency. The method can investigate the interaction with the ambient water, the transition from intact to remolded soils, seabed entrainment, and retrogressive and progressive release mechanisms. This study demonstrated that the MPM-CFD method can successfully replicate submarine slides in both model test experiments and a well-characterized field event. In both cases, the soil parameters are determined from detailed site-specific field and laboratory tests. The numerical simulations successfully replicated the results under both conditions. Consequently, the capability of the model to make class-A predictions makes it as a highly promising framework for predicting future submarine landslide events. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Landslides is the property of Springer Nature 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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        Value: 10.1007/s10346-025-02514-x
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Computational fluid dynamics
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      – SubjectFull: Strain rate
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      – SubjectFull: Hydraulic couplings
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              M: 08
              Text: Aug2025
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              Y: 2025
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