SPH numerical modelling of landslide movements as coupled two-phase flows with a new solution for the interaction term

Tayyebi, Saeid Moussavi; Pastor, Manuel; Stickle, Miguel Martín; Yagüe, Ángel; Manzanal, Diego; Molinos, Miguel; Navas, Pedro

doi:10.1016/j.euromechflu.2022.06.002

Cited by 15 publications

(3 citation statements)

References 41 publications

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“…The developed model is based on mixture theory, where linear mass and momentum balance equations are established for each phase. 36 Also Shi and Huang have a new solution suggested for the interaction term that significantly facilitates the computations of two-phase models. 37 Jandaghian and Shakibaeinia developed a new multi-resolution mesh-free particle method, based on an enhanced weakly-compressible MPS method, to study the dynamics of rapid fluid-driven granular erosion.…”

Section: Introductionmentioning

confidence: 99%

“…Tayyebi et al developed a generalized two‐phase model capable of reproducing the complex dynamic behavior of rapid landslides. The developed model is based on mixture theory, where linear mass and momentum balance equations are established for each phase 36 . Also Shi and Huang have a new solution suggested for the interaction term that significantly facilitates the computations of two‐phase models 37 .…”

Section: Introductionmentioning

confidence: 99%

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Two‐ and three‐dimensional multiphase mesh‐free particle modeling of transitional landslide with μ(I) rheology

Jafari Nodoushan,

Tajnesaie,

Shakibaeinia

2024

Numerical Methods in Fluids

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Landslides, which are the sources of most catastrophic natural disasters, can be subaerial (dry), submerged (underwater), or semi‐submerged (transitional). Semi‐submerged or transitional landslides occur when a subaerial landslide enters water and turns to submerged condition. Predicting the behavior of such a highly dynamic multi‐phase granular flow system is challenging, mainly due to the water entry effects, such as wave impact and partial saturation (and resulted cohesion). The mesh‐free particle methods, such as the moving particle semi‐implicit (MPS) method, have proven their capabilities for the simulation of the highly dynamic multiphase systems. This study develops and evaluates a numerical model, based on the MPS particle method in combination with the μ(I) rheological model, to simulate the morphodynamic of the granular mass in semi‐submerged landslides in two and three dimensions. An algorithm is developed to consider partial saturation (and resulting cohesion) during the water entry. Comparing the numerical results with the experimental measurements shows the ability of the proposed model to accurately reproduce the morphological evolution of the granular mass, especially at the moment of water entry.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two‐ and three‐dimensional multiphase mesh‐free particle modeling of transitional landslide with μ(I) rheology

Jafari Nodoushan,

Tajnesaie,

Shakibaeinia

2024

Numerical Methods in Fluids

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“…One of the common approaches for landslide prediction and early warning is using numerical modeling and simulations, which allow for predicting the behavior of the landslide under different scenarios. This method is widely used to evaluate slopes' stability and identify the critical factors that control landslide behavior [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

3D Landslide Monitoring in High Spatial Resolution by Feature Tracking and Histogram Analyses Using Laser Scanners

Hosseini,

Reindl,

Raffl

et al. 2023

Remote Sensing

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Landslides represent a significant natural hazard with wide-reaching impacts. Addressing the challenge of accurately detecting and monitoring landslides, this research introduces a novel approach that combines feature tracking with histogram analysis for efficient outlier removal. Distinct from existing methods, our approach leverages advanced histogram techniques to significantly enhance the accuracy of landslide detection, setting a new standard in the field. Furthermore, when tested on three different data sets, this method demonstrated a notable reduction in outliers by approximately 15 to 25 percent of all displacement vectors, exemplifying its effectiveness. Key to our methodology is a refined feature tracking process utilizing terrestrial laser scanners, renowned for their precision and detail in capturing surface information. This enhanced feature tracking method allows for more accurate and reliable landslide monitoring, representing a significant advancement in geospatial analysis techniques.

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Sematic segmentation of loess landslides with STAPLE mask and fully connected conditional random field

Liu

et al. 2022

Landslides

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SPH numerical modelling of landslide movements as coupled two-phase flows with a new solution for the interaction term

Cited by 15 publications

References 41 publications

Two‐ and three‐dimensional multiphase mesh‐free particle modeling of transitional landslide with μ(I) rheology

Two‐ and three‐dimensional multiphase mesh‐free particle modeling of transitional landslide with μ(I) rheology

3D Landslide Monitoring in High Spatial Resolution by Feature Tracking and Histogram Analyses Using Laser Scanners

Sematic segmentation of loess landslides with STAPLE mask and fully connected conditional random field

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