Direct-adjoint-looping methods for generalised stability problems

Lead Research Organisation: University of Cambridge
Department Name: Applied Maths and Theoretical Physics

Abstract

It is of great practical importance to understand how flows undergo the transition to turbulence, as turbulence typically hugely increases mixing, transport and dissipation within flows of environmental and industrial interest. It is commonly believed that `normal' mode flow instabilities play a central role in such transition processes, and the conventional argument is that the `most unstable' normal mode will dominate the nonlinear evolution of the flow, and hence lead the flow to transition. However, the underlying linearized operator is non-normal, and so it is possible for substantial transient growth of perturbations to occur. A particularly attractive method to consider such transient growth problems is the so-called `direct-adjoint looping' method, which can be generalised to consider fully nonlinear perturbations, where the developing perturbations can reach a sufficiently large amplitude to nontrivially modify the `base flow'. This method is particularly well-suited to consider generalised stability problems, where the measure which is being extremised is not necessarily the `energy' of the developing perturbation. Indeed, there are several interesting mathematical issues about the most appropriate measures to use, and this project will approach the general issue of perturbation `growth' in a range of environmentally and industrially important flows from a variety of mathematical and computational directions.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509620/1 01/10/2016 30/09/2022
1940773 Studentship EP/N509620/1 01/10/2017 31/03/2021 Jeremy Parker
 
Description Through applying existing computational methods, with particular new modifications relevant to our studies, we have studied in detail the dynamics of flows which are relevant to important geophysical processes in both the oceans and the atmosphere. Deep ocean mixing is a particularly poorly understood area which is extremely important to long term predictions of the climate. Here we have pushed understanding by examining new parameter regimes in greater detail, through which we have raised new questions about widely held beliefs in this field.
Exploitation Route This work paves the way for greater interpretation and understanding of the results of simulations and observations in atmospheric and oceanic sciences, and in particular should encourage researchers to put less faith in widely used "rules-of-thumb" which are not supported by our evidence.
Sectors Environment

 
Title Stratiflow 
Description A new code for direct numerical simulation of stratified shear flows and stratified turbulence. 
Type Of Technology Software 
Year Produced 2018 
Open Source License? Yes  
Impact Used for the publications on this award.