Numerical modeling of mixed two-phase in long runout flow-like landslide using LPF3D

Gao, Yang; Li, Bin; Zhang, Han; Wu, Weile; Li, Jun; Yin, Yueping

doi:10.1007/s10346-023-02159-8

Cited by 5 publications

(3 citation statements)

References 64 publications

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“…Additionally, a data-driven method for the estimation of shallow landslide runout was used in a study by Giarola et al [11]. Observation of flow-like landslide runouts was accomplished using the physical method, which was applied as a flume test, in studies by Baselt et al [12] and Gao et al [13]. The numerical model, which has frequently been used to scrutinize flow-like landslide runouts in recent studies, was also used in studies by Gao et al [13], Yang et al [14], Chae et al [15], Calista et al [16], Abraham et al [17], Dash et al [18], Vicari et al [19], Mikoš and Bezak [20], Oh et al [21], Zhou et al [22], Alene et al [23], and La Porta et al [24].…”

Section: Introductionmentioning

confidence: 99%

“…The physical method and numerical method were also combined in order to probe the runout distances of debris flows in studies by Clark [26], Melo et al [27], and Gan and Zhang [28]. In addition, numerical models aiming to calculate the runout of flow-like landslides were successfully verified with a physical model (flume test) in a study by Gao et al [13]. Numerical and empirical models were combined in order to investigate landslide runouts in a study by Peruzzetto et al [29].…”

Section: Introductionmentioning

confidence: 99%

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Modeling Shallow Landslide Runout Distance in Eocene Flysch Facies Using Empirical–Statistical Models (Western Black Sea Region of Türkiye)

Komu,

Nefeslioglu,

Gokceoglu

2024

IJGI

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Uncertainties related to runout distances in shallow landslide analyses may not only affect lives but may also result in economic losses. Owing to the increase in shallow landslides, which are especially triggered by heavy rainfall, runout distances have been investigated to decipher whether applications of a functional runout distance are feasible. This paper aims to give insights into the modeling of the shallow landslide runout probability in Eocene flysch facies in the Western Black Sea region of Türkiye. There are two main stages in this study—which are dominated by empirical models, the detection of initiation points, and propagation—which help us to understand and visualize the possible runout distances in the study area. Shallow landslide initiation point determination using machine learning has a critical role in the ordered tasks in this study. Modified Holmgren and simplified friction-limited model (SFLM) parameters were applied to provide a good approximation of runout distances during the propagation stage using Flow-R software. The empirical model parameters suggested for debris flows and shallow landslides were investigated comparatively. The runout distance models had approximately the same performance depending on the debris flow and shallow landslide parameters. While the impacted total runout areas for the debris flow parameters were predicted to amount to approximately 146 km2, the impacted total runout areas for the shallow landslide parameters were estimated to be about 101 km2. Considering the inclusion of the RCP 4.5 and RCP 8.5 precipitation scenarios in the analyses, this also shows that the shallow landslide and debris flow runout distance impact areas will decrease. The investigation of runout distance analyses and the inclusion of the RCP scenarios in the runout analyses are highly intriguing for landslide researchers.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling Shallow Landslide Runout Distance in Eocene Flysch Facies Using Empirical–Statistical Models (Western Black Sea Region of Türkiye)

Komu,

Nefeslioglu,

Gokceoglu

2024

IJGI

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“…Although most reactivated landslides move slowly and rarely claim lives, they often inflict long-term damage to infrastructure, such as roads and buildings (Deng et al, 2016;Fang et al, 2023;Glastonbury & Fell, 2008;Lacroix et al, 2020). Moreover, in some cases, reactivated landslides undergo rapid acceleration and catastrophic failure, leading to extensive destruction and fatalities (Agliardi et al, 2020;Gao et al, 2023;He et al, 2021;Iverson et al, 2015;Palmer, 2017). evolution in slip zones is a prerequisite for stability assessment and engineering design of mitigation measures for ancient landslides (Di Maio et al, 2015;Skempton, 1985;Wen & Jiang, 2017).…”

Section: Introductionmentioning

confidence: 99%

Response Mechanism of the Residual Strength to the Mesostructure of the Shear Surface in the Gravelly Slip Zone of Ancient Landslides

Ren,

Zhang,

et al. 2024

JGR Earth Surface

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Ancient landslides tend to reactivate along pre‐existing slip zones that have reached a residual state. On the eastern margin of the Tibetan Plateau, previous research has indicated that the slip zone of ancient landslides is primarily composed of clayey soil with gravel, known as gravelly slip zone soil. However, the relationship between the macromechanical behavior of gravelly slip zones and the mesostructure of the shear surfaces affected by gravel is still unclear. Herein, ring shear tests and reversal direct shear tests were performed on gravelly slip zone soil, and the 3D morphology and shear surface roughness were quantitatively characterized by using 3D laser scanning technology and the power spectral density method. The results showed a significant correlation between the friction coefficient of the shear surface and its roughness. Gravel played a crucial role in influencing the macromechanical behavior of slip zones by altering the mesomorphology of the shear surfaces. By analyzing the mechanical properties of the contact unit on the shear surface, the residual strength of the gravelly slip zone was found to be jointly controlled by the basic strength of the fine‐grained soil and the undulations caused by the gravel. Finally, a residual strength model was developed for the gravelly slip zone considering both the strength of the fine‐grained soil and the shear surface roughness caused by the gravel.

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3D-SPH-DEM coupling simulation for the large deformation failure process of check dams under debris flow impact incorporating the nonlinear collision-constraint bond model

Han,

Xie,

Yang

et al. 2024

Engineering Analysis with Boundary Elements

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Numerical modeling of mixed two-phase in long runout flow-like landslide using LPF3D

Cited by 5 publications

References 64 publications

Modeling Shallow Landslide Runout Distance in Eocene Flysch Facies Using Empirical–Statistical Models (Western Black Sea Region of Türkiye)

Modeling Shallow Landslide Runout Distance in Eocene Flysch Facies Using Empirical–Statistical Models (Western Black Sea Region of Türkiye)

Response Mechanism of the Residual Strength to the Mesostructure of the Shear Surface in the Gravelly Slip Zone of Ancient Landslides

3D-SPH-DEM coupling simulation for the large deformation failure process of check dams under debris flow impact incorporating the nonlinear collision-constraint bond model

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