![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > BPI Seminar Series > Numerical models for dam-break flows at the intitial stage
![]() Numerical models for dam-break flows at the intitial stageAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Anne Alexander. Lunch will be provided after the seminar Abstract: Shallow water equations have been used widely to study the dam-break wave propagations. They are a set of hyperbolic equations, which admit discontinuities in the weak solutions. The discontinuities correspond to the hydraulic jumps and bores. However, the basic assumptions behind the shallow water equations include smooth variance, hydrostatic pressure distribution and zero vertical velocity components, which are apparently violated close to the discontinuities. The smoothed particle hydrodynamics model, where the three-dimensional Navier-Stokes equations with a free surface are solved, has been used to quantify the inaccuracies of the shallow water equations for predicting the initial-stage dam-break flows. This talk is part of the BPI Seminar Series series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsCambridge Judge Business School Human-Computer Interaction One day Meeting (Cambridge Philosophical Society): Synthetic Biology - Molecular Bioengineering for the 21st CenturyOther talksAssessment of data completeness in the National Cancer Registry and the impact on the production of Cancer Survival Statistics Deficits in axonal transport in ALS and Charcot-Marie-Tooth disease models "Vectorbuilder: Revolutionising Vector Design & Custom Cloning" (25 min seminar) followed by "Advanced Technologies For Rapid Generation Of Custom Designed Animal Models" (25 min seminar) Replication or exploration? Sequential design for stochastic simulation experiments Development of machine learning based approaches for identifying new drug targets Climate Change: Protecting Carbon Sinks |