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 > Fluid Mechanics (DAMTP) > Optimal stirring for passive scalar mixing
Optimal stirring for passive scalar mixingAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Doris Allen. We address the challenge of optimal incompressible stirring to mix an initially inhomogeneous distribution of passive tracers. As a measure for mixing we adopt the H^{minus1} norm of the scalar fluctuation field. This ‘mix-norm’ is equivalent to (the square root of) the variance of a low-pass filtered image of the tracer concentration field, and is a useful gauge even in the absence of molecular diffusion. We show that the mix-norm’s vanishing as time progresses is evidence of the stirring flow’s mixing property in the sense of ergodic theory. For the case of a periodic spatial domain with a prescribed instantaneous energy or power budget for the stirring, we determine the flow field that instantaneously maximizes the decay of the mix-norm, i.e., the instantaneous optimal stirring—- when such a flow exists. When no such ‘steepest descent’ stirring exists, we determine the flow that maximizes that rate of increase of the rate of decrease of the norm. This local-in-time stirring strategy is implemented computationally on a benchmark problem and compared to an optimal control approach utilizing a restricted set of flows. Joint work with Zhi Lin (University of Minnesota) and Jean-Luc Thiffeault (University of Wisconsin). This talk is part of the Fluid Mechanics (DAMTP) series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsCEB Career Talks Brain Training: secrets, drugs and analysis. CTR Seminar SeriesOther talksDisease Migration Current-Induced Stresses in Ceramic Lithium-Ion Conductors Malaria’s Time Keeping Land of Eagles - Albania: from closed nation to wildlife paradise - where next? Localization estimates for hypoelliptic equations Future of Games in Engineering Education mTORC1 signaling coordinates different POMC neurons subpopulations to regulate feeding The role of myosin VI in connexin 43 gap junction accretion Computing High Resolution Health(care) Cambridge-Lausanne Workshop 2018 - Day 1 HE@Cam Seminar: Christian Hill - Patient Access Scheme, Managed Access Agreements and their influence on the approval trends on new medicines, devices and diagnostics |