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Preliminary Studies on Developing a Physics-Based Smoothed Particle Hydrodynamics Model for Landslides
Landslides triggered by earthquakes pose a major threat worldwide, in terms of economic loss and causalities. In order to effectively mitigate this hazard, it is requisite to carry out Quantitative Risk Assessment (QRA) of landslides wherein the probability of landslide occurrence and the post-failure scenario both can be studied in detail. The devastating effects of any landslide can be attributed to its post-failure phase which involves large deformations, and due to the complex nature of these deformations, it is difficult to model them using slope stability methods like the Limit Equilibrium or the Finite Element Method (FEM). The presented work aims at studying the behavior of landslides triggered by seismic action and exploring the applicability of the mesh-free computational method, Smoothed Particle Hydrodynamics (SPH) in predicting the size of landslides, in terms of volume and run-out distance. To achieve the said objective, slopes in vulnerable areas shall be analyzed using SPH; a threshold value for sliding mass volume and runout distance shall be chosen based on some prominent works to decide on the stability of a given slope. Hence, the objective of getting an insight into the entire process of landslides, right from the initiation phase to the final consequences, shall be achieved. This particular article includes a preliminary study carried out to assess the applicability of our initial model and to gauge its performance when applied to the real-life scenario. For that purpose, the famous Daguangbao landslide triggered by the 2008 Wenchuan earthquake has been modeled, and the results have been found to be in good agreement with the field data.
Preliminary Studies on Developing a Physics-Based Smoothed Particle Hydrodynamics Model for Landslides
Landslides triggered by earthquakes pose a major threat worldwide, in terms of economic loss and causalities. In order to effectively mitigate this hazard, it is requisite to carry out Quantitative Risk Assessment (QRA) of landslides wherein the probability of landslide occurrence and the post-failure scenario both can be studied in detail. The devastating effects of any landslide can be attributed to its post-failure phase which involves large deformations, and due to the complex nature of these deformations, it is difficult to model them using slope stability methods like the Limit Equilibrium or the Finite Element Method (FEM). The presented work aims at studying the behavior of landslides triggered by seismic action and exploring the applicability of the mesh-free computational method, Smoothed Particle Hydrodynamics (SPH) in predicting the size of landslides, in terms of volume and run-out distance. To achieve the said objective, slopes in vulnerable areas shall be analyzed using SPH; a threshold value for sliding mass volume and runout distance shall be chosen based on some prominent works to decide on the stability of a given slope. Hence, the objective of getting an insight into the entire process of landslides, right from the initiation phase to the final consequences, shall be achieved. This particular article includes a preliminary study carried out to assess the applicability of our initial model and to gauge its performance when applied to the real-life scenario. For that purpose, the famous Daguangbao landslide triggered by the 2008 Wenchuan earthquake has been modeled, and the results have been found to be in good agreement with the field data.
Preliminary Studies on Developing a Physics-Based Smoothed Particle Hydrodynamics Model for Landslides
Lecture Notes in Civil Engineering
Shrikhande, Manish (Herausgeber:in) / Agarwal, Pankaj (Herausgeber:in) / Kumar, P. C. Ashwin (Herausgeber:in) / Mubarak, Nadia (Autor:in) / Kumar, Ritesh (Autor:in)
Symposium in Earthquake Engineering ; 2022 ; Roorkee, India
Proceedings of 17th Symposium on Earthquake Engineering (Vol. 3) ; Kapitel: 5 ; 51-63
03.07.2023
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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