37 research outputs found
Subcritical transition to turbulence in quasi-two-dimensional shear flows
The transition to turbulence in ducts, pipes or other conduits is a crucial
phenomenon. It determines the energy consumption and heat or mass exchange in
countless processes: whether cooling circuits of heat exchangers, pipelines or
chemical reactors to cite but a few. The transition occurs at relatively low
flow rates as a response to perturbations exceeding a critical amplitude (such
transitions are subcritical) through an intrinsically three-dimensional (3D)
mechanism. However, fluid motion can be restricted to two dimensions, if it is
stratified, subject to rapid rotation or intense magnetic fields, for example
in rotating machines or in the liquid metal cooling circuits of nuclear fusion
reactors. Subcritical turbulence has yet to be observed in 2D or quasi-2D
flows, let alone a transition to it. Here we use stability analysis and direct
numerical simulations on the example of a duct flow driven by the motion of its
lateral walls to provide the first evidence of turbulence in subcritical
quasi-2D shear flows. We further show that the scenario leading to turbulence
mostly relies on the nonlinear dynamics of so-called Tollmien-Schlichting
waves, rather than on perturbations experiencing fast, transient growth.
Although the transition is subcritical, it cannot take place at such low flow
rates as in 3D flows, because these waves are severly damped. This alternative
scenario opens a new route to turbulence that calls for exploration. This new
landscape may reset current strategies to promote or to hinder quasi-2D
turbulence in practical applications, including in fusion reactors.Comment: Combined main paper (7 pages, 5 figures) and supplementary
information (16 pages, 6 figures, 5 tables), submitted for consideration to
Nature Physic
A framework for integrated environmental health impact assessment of systemic risks
Traditional methods of risk assessment have provided good service in support of policy, mainly in relation to standard setting and regulation of hazardous chemicals or practices. In recent years, however, it has become apparent that many of the risks facing society are systemic in nature – complex risks, set within wider social, economic and environmental contexts. Reflecting this, policy-making too has become more wide-ranging in scope, more collaborative and more precautionary in approach. In order to inform such policies, more integrated methods of assessment are needed. Based on work undertaken in two large EU-funded projects (INTARESE and HEIMTSA), this paper reviews the range of approaches to assessment now in used, proposes a framework for integrated environmental health impact assessment (both as a basis for bringing together and choosing between different methods of assessment, and extending these to more complex problems), and discusses some of the challenges involved in conducting integrated assessments to support policy
The Indirect Effects of Direct Democracy: Local Government Size and Non-Budgetary Voter Initiatives
Relationship between soil properties and potentially toxic element content based on the dataset of the Soil Information and Monitoring System in Hungary
Transition to turbulence in quasi-two-dimensional MHD flow driven by lateral walls
This manuscript has been accepted for publication in Physical Review Fluids,
see
https://journals.aps.org/prfluids/accepted/d5074S28J6b11905012b7cb06505e8f2149dd5f20.
This work investigates the mechanisms that underlie transitions to turbulence
in a three-dimensional domain in which the variation of flow quantities in the
out-of-plane direction is much weaker than any in-plane variation. This is
achieved using a model for the quasi-two-dimensional magnetohydrodynamic flow
in a duct with moving lateral walls and an orthogonal magnetic field. In this
environment, conventional subcritical routes to turbulence, which are highly
three-dimensional, are prohibited. To elucidate the remaining mechanisms
involved in quasi-two-dimensional turbulent transitions, the magnetic field
strength and degree of antisymmetry in the base flow are varied, the latter via
the relative motion of the lateral duct walls. Introduction of any amount of
antisymmetry to the base flow drives the critical Reynolds number infinite, as
the TS instabilities take on opposite signs of rotation, and destructively
interfere. However, an increasing magnetic field strength limits interaction
between the instabilities, permitting finite critical Reynolds numbers. The
transient growth only mildly depends on the base flow, with negligible
differences for friction parameters . Direct numerical
simulations, initiated with random noise, indicate that for ,
supercritical exponential growth leads to saturation, but not turbulence. For
higher , a turbulent transition occurs, and is maintained at
. For , the turbulent transition still occurs, but is short
lived, as the turbulent state quickly collapses. In addition, for ,
an inertial subrange is identified, with the perturbation energy exhibiting a
power law dependence on wave number.Comment: 44 pages, 18 figures, accepted for publication in Physical Review
Fluids, see
https://journals.aps.org/prfluids/accepted/d5074S28J6b11905012b7cb06505e8f2149dd5f2
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Life cycle inventory of biodiesel and petroleum diesel for use in an urban bus. Final report
This report presents the findings from a study of the life cycle inventories for petroleum diesel and biodiesel. It presents information on raw materials extracted from the environment, energy resources consumed, and air, water, and solid waste emissions generated. Biodiesel is a renewable diesel fuel substitute. It can be made from a variety of natural oils and fats. Biodiesel is made by chemically combining any natural oil or fat with an alcohol such as methanol or ethanol. Methanol has been the most commonly used alcohol in the commercial production of biodiesel. In Europe, biodiesel is widely available in both its neat form (100% biodiesel, also known as B1OO) and in blends with petroleum diesel. European biodiesel is made predominantly from rapeseed oil (a cousin of canola oil). In the United States, initial interest in producing and using biodiesel has focused on the use of soybean oil as the primary feedstock mainly because the United States is the largest producer of soybean oil in the world. 170 figs., 148 tabs
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A viscous vortex model for predicting the drag reduction of riblet surfaces
This paper introduces a viscous vortex model for predicting the optimal drag reduction of riblet surfaces, eliminating the need for expensive direct numerical simulations (DNSs) or experiments. The footprint of a typical quasi-streamwise vortex, in terms of the spanwise and wall-normal velocities, is extracted from smooth-wall DNS flow fields in close proximity to the surface. The extracted velocities are then averaged and used as boundary conditions in a Stokes-flow problem, wherein riblets with various cross-sectional shapes are embedded. Here, the same smooth-wall-based boundary conditions can be used for riblets, as we observe from the DNSs that the quasi-streamwise vortices remain unmodified apart from an offset. In particular, the position of these vortices remain unpinned above small riblets. The present approach is compared with the protrusion-height model of Luchini et al. (J. Fluid Mech., vol. 228, 1991, pp. 87–109), which is also based on a Stokes calculation, but represents the vortex with only a uniform spanwise velocity boundary condition. The key novelty of the present model is the introduction of a wall-normal velocity component into the boundary condition, thus inducing transpiration at the riblet crests, which becomes relevant as the riblet size increases. Consequently, the present model allows for the drag-reduction prediction of riblets up to the optimal size. The present approach does not rely on the scale separation formally required by homogenisation techniques, which are only applicable for vanishingly small riblets
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The role of nonlinear interactions in the onset of drag increase in flow over riblets
Abstract
Characterizing the mechanisms that contribute to the onset of drag increase over micro-grooves (riblets) as the spacing increases is critical to design strategies for riblet-based drag reduction. This study decomposes the roughness function to investigate different mechanisms associated with the breakdown of drag reduction as riblet spacing is increased. We obtain the roughness function through direct numerical simulations (DNS) in a minimal channel and restricted nonlinear (RNL) models. Both the traditional RNL decomposition and an augmented RNL (ARNL) model that includes additional nonlinear interactions are employed as computationally tractable, reduced order representations of the flow field. RNL and ARNL results are compared to those of DNS in minimal channels to investigate the role of the different scale-dependent nonlinear interactions contributing to the roughness function. A comparison of the co-spectra arising from the minimal channel DNS with that from RNL and ARNL simulations indicates that general trends are captured by both reduced order models. However, the additional nonlinearity introduced in the ARNL model produces closer correspondence in the observed structural features of the DNS results. In particular, the ARNL better captures the signatures of the dispersive flow and the texture-coherent fluctuations. There is also a noticeable improvement observed in the profiles of the added stress contributions obtained with the ARNL model versus the RNL model.</jats:p
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