|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Numerical Modelling of Submarine Run-out
If you have a question about this talk, please contact Anama Lowday.
Submarine run-out is one of the most catastrophic natural hazards which can cause severe damage to offshore infrastructure. The motion of submarine run-out is best described by a non-Newtonian fluid model once a block of sediment collapses to form a fully mobilised flow. The Bingham fluid model is the simplest and most-widely used model for this approach. The parameters involved in the model are back-calculated using the evidence of previous run-out events, and are used for the risk assessment of future events. However, the parameters obtained by back calculation could vary by orders of magnitude from event to event, indicating that the simple fluid model is incapable of describing the entire process of submarine run-out. In this study, we propose a new method for simulating submarine run-out based on the Material Point Method (MPM) and critical state soil mechanics. It is important that our simulations do not rely on back-calculations and can be performed using soil parameters derived from conventional soil tests. The goal of this study is to develop a model that can simulate the entire process of submarine run-out from initiation to deposition. We also investigated the undrained shear strength of sea sediments to see the capability of critical state concepts at a high range of water content.
This talk is part of the Engineering Department Geotechnical Research Seminars series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsDPMMS Seminar 2030 vision for the Cambridge sub-region CERF and CF Events
Other talksSymplectic and hyperkahler implosion Café Synthetique Day 2 - Corporate Finance Theory Symposium 2015 Bacteriophage 2016 From disease ecology to disease control: is elimination of rabies possible HONORARY FELLOWS LECTURE - Molecules against cancer or for very long term memory