English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Sensitivity and Calibration of Three‐Dimensional SPH Formulations in Large‐Scale Landslide Modeling

Authors
/persons/resource/shuali

Li,  Shuai
4.7 Earth Surface Process Modelling, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/htang

Tang,  Hui
4.7 Earth Surface Process Modelling, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Peng,  Chong
External Organizations;

/persons/resource/turowski

Turowski,  J.
4.6 Geomorphology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/aschoepa

Schöpa,  Anne
4.6 Geomorphology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

An,  Huicong
External Organizations;

Chen,  Xiaoqing
External Organizations;

Ouyang,  Chaojun
External Organizations;

Chen,  Jiangang
External Organizations;

External Ressource
No external resources are shared
Fulltext (public)

5015196.pdf
(Publisher version), 5MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Li, S., Tang, H., Peng, C., Turowski, J., Schöpa, A., An, H., Chen, X., Ouyang, C., Chen, J. (2023): Sensitivity and Calibration of Three‐Dimensional SPH Formulations in Large‐Scale Landslide Modeling. - Journal of Geophysical Research: Solid Earth, 128, 2, e2022JB024583.
https://doi.org/10.1029/2022JB024583


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015196
Abstract
Numerical prediction of landslide runout and deposition is important for estimating landslide risk and developing mitigation plans. The choice of a suitable model and its parameters and a confident calibration strategy are crucial for numerical simulations. Here, we evaluated two constitutive models with a three-dimensional smoothed particle hydrodynamics (SPH) method by simulating the catastrophic 11 October 2018 Baige landslide. The results indicate that both the soil mechanic and fluid models can capture the dynamic runout and deposition morphology while using different values of input parameters. A point-wise comparison of deposit elevation can minimize the calibration error. Numerical models were constrained accurately by utilizing both the static observation data and dynamic seismic signals. The effects of friction on deep-seated landslides motion and deposition are more significant than cohesion. The 3D model includes the effects of shear stresses and velocities inside the material body, resulting in a reduced friction coefficient compared to the 2D model (e.g., depth-averaged model). Our study highlights the potential of the 3D SPH method for modeling large-scale complex landslides.