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Modelling rainfall induced landslides with a combined analytical and computational approach (PhD pre-submission seminar)

Hold Date
2018-11-13 12:00〜2018-11-13 13:00
Lecture Room S W1-C-503, West Zone 1, Ito campus, Kyushu University
Object person
Laura Karantgis (La Trobe University, Australia)

Landslide events have a devastating impact on communities and industries. Modelling these complex systems is valuable for predictive and preventative measures to reduce the impact of these events. Landslides are often caused by  heavy rainfall so soil water content is important to consider when considering slope stability as it alters the soil strength.
We have constructed analytic series solutions for the phreatic free surface problem of two dimensional steady downslope saturated-unsaturated flow, with water exiting at a seepage face. This model will be used to predict the water table and flow of water through soil for varying parameters such as slope angle, length, rainfall rate, and soil type.
We use a computational method, Smoothed Particle Hydrodynamics (SPH), to model the slope failure. The results for the water table will be used to define a saturated region that considers pore water pressure and a change of the soil strength parameters of cohesion and friction angle. The results of this investigation will be compared with experimental data to validate results.
Ultimately, it would be convenient to model the water flow and slope stability in one user-friendly SPH program. To achieve this we will implement the water flow equations into SPH use the analytical solutions to validate the numerical models.