Laboratory Studies of Turbulent Mixing J.A
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Constraints on the Magnetic Buoyancy Instabilities of a Shear-Generated Magnetic Layer
Submitted to The Astrophysical Journal Constraints on the magnetic buoyancy instabilities of a shear-generated magnetic layer Geoffrey M. Vasil JILA and Dept. of Atmospheric & Oceanic Sciences, University of Colorado, Boulder, CO 80309-0440 Nicholas H. Brummell Dept. of Applied Mathematics & Statistics, University of California, Santa Cruz, CA 95064 [email protected] ABSTRACT In a recent paper (Vasil & Brummell 2008), we found that the action of vertical (radial) shear on the vertical component of poloidal magnetic field could induce magnetic buoyancy instabilities that produced rising, undulating tubular magnetic structures as often envisaged arising from the solar tachocline, but only under extreme circumstances. Herein, we examine, in greater detail, the reasons underpinning the difficulties in obtaining magnetic buoyancy. Under a variety of assumptions about the maintenance of the shear, we herein discuss some analytic limits on the ability of the Ω-effect to produce toroidal magnetic field. Firstly, we consider the Ω-effect in a local time-dependent context, where an unmaintained shear is allowed to build a magnetic layer over time. In this case, we find amplitude estimates of the magnetic field made through such a process in terms of the shear-flow Richardson number. Secondly, we consider the Ω-effect in a local time-independent context, where the shear is forced, such that under certain circumstances it would be maintained. In this situation, we derive a variety of mathematical bounds on the toroidal magnetic energy that can be realized, and its gradients, in terms of the magnitude and the magnetic Prandtl number. This result implies that at low σM , unreasonably strong shear flows must be forced to produce magnetic buoyancy, as was found in our earlier paper. -
Applied Fluid Dynamics Handbook
APPLIED FLUID DYNAMICS HANDBOOK ROBERT D. BLEVINS H iMhnisdia ttodisdiule Darmstadt Fachbereich Mechanik 'rw.-Nr.. [VNR1 VAN NOSTRAND REINHOLD COMPANY ' ' New York Contents Preface / v 5.4 The Bernoulli Equations / 29 5.4.1 Presentation of the Equations / 29 1. Definitions / 1 5.4.2 Example of the Bernoulli Equations / 30 5.5 Conservation of Momentum / 32 2. Symbols / 5 5.5.1 The Momentum Equations / 32 5.5.2 Examples of Conservation of 3. Units / 6 Momentum / 33 4. Dimensional Analysis / 8 4.1 Introduction / 8 6. Pipe and Duct Flow / 38 4.2 Boundary Geometry / 8 6.1 General Considerations / 38 4.3 Euler Number / 10 6.1.1 General Assumptions / 38 4.4 Reynolds Number / 10 6.1.2 Principles of Pipe Flow / 38 4.5 Mach Number / 11 6.2 Velocity Profiles for Fully Developed Pipe 4.6 Froude Number / 11 Flow / 39 4.7 Weber Number / 11 6.2.1 Inlet Length / 39 4.8 Cavitation Number / 12 6.2.2 Fully Developed Profiles / 40 4.9 Richardson Number / 12 6.3 Straight Uniform Pipes and Ducts / 42 4.10 Rayleigh Number / 12 6.3.1 General Form for Incompressible 4.11 Strouhal Number / 12 Flow / 42 4.12 Kolmogoroff Scales / 13 6.3.2 Friction Factor for Laminar Flow 4.13 Application / 13 (Re<2000) / 42 4.13.1 Then-Theorem / 13 6.3.3 Friction Factor for Transitional Flow 4.13.2 Example: Model Testing a Nuclear (2000 <Re <4000) / 48 Reactor / 14 6.3.4 Friction Factor for Turbulent Flow 4.13.3 Example: Model Testing of a (Re>4000) / 50 Surfboard / 15 6.4 Curved Pipes and Bends / 55 6.4.1 General Form ./ 55 5. -
Boundary Layer Verification
Boundary Layer Verification ECMWF training course April 2015 Maike Ahlgrimm Aim of this lecture • To give an overview over strategies for boundary layer evaluation • By the end of this session you should be able to: – Identify data sources and products suitable for BL verification – Recognize the strengths and limitations of the verification strategies discussed – Choose a suitable verification method to investigate model errors in boundary layer height, transport and cloudiness. smog over NYC Overview • General strategy for process-oriented model evaluation • What does the BL parameterization do? • Broad categories of BL parameterizations • Which aspects of the BL can we evaluate? – What does each aspect tell us about the BL? • What observations are available – What are the observations’ advantages and limitations? • Examples – Clear convective BL – Cloud topped convective BL – Stable BL Basic strategy for model evaluation and improvement: Observations Identify discrepancy Model Output Figure out source of model error Improve parameterization When and where does error occur? Which parameterization(s) is/are involved? What does the BL parameterization do? Attempts to integrate Turbulence transports effects of small scale temperature, moisture and turbulent motion on momentum (+tracers). prognostic variables at grid resolution. Stull 1988 Ultimate goal: good model forecast and realistic BL Broad categories of BL parameterizations Unified BL schemes Specialized BL scheme •Attempt to integrate BL (and •One parameterization for each shallow cloud) effects in one discrete BL type scheme to allow seamless transition •Simplifies parameterization for •Often statistical schemes (i.e. each type, parameterization for making explicit assumptions about each type ideally suited PDFs of modelled variables) using •Limitation: must identify BL type moist-conserved variables reliably, is noisy (lots of if •Limitation: May not work well for statements) mixed-phase or ice •Example: Met-Office (Lock et al. -
Global Stability of Buoyant Jets and Plumes
This draft was prepared using the LaTeX style file belonging to the Journal of Fluid Mechanics 1 Global stability of buoyant jets and plumes R. V. K. Chakravarthy, L. Lesshafft and P. Huerre Laboratoire d’Hydrodynamique, CNRS/Ecole´ polytechnique, 91128 Palaiseau, France. (Received xx; revised xx; accepted xx) The linear global stability of laminar buoyant jets and plumes is investigated under the low Mach number approximation. For Richardson numbers in the range 10−4 6 Ri 6 103 and density ratios S = ρ∞/ρjet between 1.05 and 7, only axisymmetric perturbations are found to exhibit global instability, consistent with experimental observations in helium jets. By varying the Richardson number over seven decades, the effects of buoyancy on the base flow and on the instability dynamics are characterised, and distinct behaviour is observed in the low-Ri (jet) and in the high-Ri (plume) regimes. A sensitivity analysis indicates that different physical mechanisms are responsible for the global instability dynamics in both regimes. In buoyant jets at low Richardson number, the baroclinic torque enhances the basic shear instability, whereas buoyancy provides the dominant instability mechanism in plumes at high Richardson number. The onset of axisymmetric global instability in both regimes is consistent with the presence of absolute instability. While absolute instability also occurs for helical perturbations, it appears to be too weak or too localised in order to give rise to a global instability. 1. Introduction Vertical injection of light fluid into a denser ambient creates a flow that either bears the characteristics of a jet, if the injected momentum is dominant over the buoyant forces, or those of a plume, if the momentum that is generated by buoyancy is dominant over the momentum that is imparted at the orifice. -
On the Computation of Planetary Boundary-Layer Height Using the Bulk Richardson Number Method
Geosci. Model Dev., 7, 2599–2611, 2014 www.geosci-model-dev.net/7/2599/2014/ doi:10.5194/gmd-7-2599-2014 © Author(s) 2014. CC Attribution 3.0 License. On the computation of planetary boundary-layer height using the bulk Richardson number method Y. Zhang1, Z. Gao2, D. Li3, Y. Li1, N. Zhang4, X. Zhao1, and J. Chen1,5 1International Center for Ecology, Meteorology & Environment, Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China 2State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China 3Program of Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ 08540, USA 4School of Atmospheric Sciences, Nanjing University, Nanjing, 210093, China 5Department of Geography, Michigan State University, East Lansing, MI 48824, USA Correspondence to: Z. Gao ([email protected]) Received: 15 March 2014 – Published in Geosci. Model Dev. Discuss.: 24 June 2014 Revised: 12 September 2014 – Accepted: 22 September 2014 – Published: 10 November 2014 Abstract. Experimental data from four field campaigns are 1 Introduction used to explore the variability of the bulk Richardson num- ber of the entire planetary boundary layer (PBL), Ribc, which The planetary boundary layer (PBL), or the atmospheric is a key parameter for calculating the PBL height (PBLH) boundary layer, is the lowest part of the atmosphere that is in numerical weather and climate models with the bulk directly influenced by earth’s surface and has significant im- Richardson number method. First, the PBLHs of three differ- pacts on weather, climate, and the hydrologic cycle (Stull, ent thermally stratified boundary layers (i.e., strongly stable 1988; Garratt, 1992; Seidel et al., 2010). -
Basic Features on a Skew-T Chart
Skew-T Analysis and Stability Indices to Diagnose Severe Thunderstorm Potential Mteor 417 – Iowa State University – Week 6 Bill Gallus Basic features on a skew-T chart Moist adiabat isotherm Mixing ratio line isobar Dry adiabat Parameters that can be determined on a skew-T chart • Mixing ratio (w)– read from dew point curve • Saturation mixing ratio (ws) – read from Temp curve • Rel. Humidity = w/ws More parameters • Vapor pressure (e) – go from dew point up an isotherm to 622mb and read off the mixing ratio (but treat it as mb instead of g/kg) • Saturation vapor pressure (es)– same as above but start at temperature instead of dew point • Wet Bulb Temperature (Tw)– lift air to saturation (take temperature up dry adiabat and dew point up mixing ratio line until they meet). Then go down a moist adiabat to the starting level • Wet Bulb Potential Temperature (θw) – same as Wet Bulb Temperature but keep descending moist adiabat to 1000 mb More parameters • Potential Temperature (θ) – go down dry adiabat from temperature to 1000 mb • Equivalent Temperature (TE) – lift air to saturation and keep lifting to upper troposphere where dry adiabats and moist adiabats become parallel. Then descend a dry adiabat to the starting level. • Equivalent Potential Temperature (θE) – same as above but descend to 1000 mb. Meaning of some parameters • Wet bulb temperature is the temperature air would be cooled to if if water was evaporated into it. Can be useful for forecasting rain/snow changeover if air is dry when precipitation starts as rain. Can also give -
NOAA Technical Memorandum NWS WR-221 UTILIZATION of the BULK RICHARDSON NUMBER, HELICITY and SOUNDING MODIFICATION in the ASSESS
NOAA Technical Memorandum NWS WR-221 UTILIZATION OF THE BULK RICHARDSON NUMBER, HELICITY AND SOUNDING MODIFICATION IN THE ASSESSMENT OF THE SEVERE CONVECTIVE STORMS OF 3 AUGUST 1992 ~ \ Eric C. Evenson Weather Service Forecast Office Great Falls, Montana November 1993 u.s. DEPARTMENT OF I National Oceanic and National Weather COMMERCE Atmospheric Administration I Service 75 A Study of the Low Level Jet Stream of the San Joaqnin Valley. Ronald A Wlllis and NOAA TECHNICAL MEMORANDA Philip Williams, Jr., May 1972. (COM 72 10707) National Weather Service, Western Region Subseries 76 Monthly Climatological Charta of the Behavior of Fog and Low Stratus at Los Angeles International Airport. Donald M. Gales, July 1972. (COM 72 11140) The National Weather Service (NWS) Western Region (WR) Subseries provi~es an informal 77 A Study of Radar Echo Distribution in Arizona During July and August. John E. Hales, Jr.. medium for the documentation and quick dissemination of results not. appropnate, or not ~et July 1972. (COM 72 11136) ready, for formal publication. The series is used to report. o'! work '-? progreas, to des~ 78 Forecasting Precipitation at Bakersfield, California, Using Preasure Gradient Vectors. Earl technical procedures and practices, or. to relate progre_as ~ a limited. audience. These Techrucal T. Riddiough, July 1972. (COM 72 11146) Memoranda will report on investigations devoted primarily to regtonal and local problems of 79 Climate of Stockton, California. Robert C. Nelson, July 1972. (COM 72 10920) interest mainly to penionnel, and hence will not be widely distributed. 60 Estimation of Number of Days Above or Below Selected Temperatures. Clarence M. -
The Effect of Stable Thermal Stratification on Turbulent Boundary
The effect of stable thermal stratifcation on turbulent boundary layer statistics O.Williams, T. Hohman, T. Van Buren, E. Bou-Zeid and A. J. Smits May 22, 2019 Abstract The effects of stable thermal stratifcation on turbulent boundary layers are ex- perimentally investigated for smooth and rough walls. Turbulent stresses for weak to moderate stability are seen to scale with the wall-shear stress compensated for changes in fuid density in the same manner as done for compressible fows, sug- gesting little change in turbulent structure within this regime. At higher levels of stratifcation turbulence no longer scales with the wall shear stress and turbu- lent production by mean shear collapses, but without the preferential damping of near-wall motions observed in previous studies. We suggest that the weakly sta- ble and strongly stable (collapsed) regimes are delineated by the point where the turbulence no longer scales with the local wall shear stress, a signifcant departure from previous defnitions. The critical stratifcation separating these two regimes closely follows the linear stability analysis of Schlichting (1935) [Schlichting, Hauptaufs¨atze. Turbulenz bei W¨armeschichtung, ZAMM-J. of App. Math. and Mech., vol 15, 1935 ] for both smooth and rough surfaces, indicating that a good predictor of critical stratifcation is the gradient Richardson number evaluated at the wall. Wall-normal and shear stresses follow atmospheric trends in the local gradient Richardson number scaling of Sorbjan (2010) [Sorbjan, Gradient-based scales and similarity laws in the stable boundary layer, Q.J.R. Meteorological Soc., vol 136, 2010], suggesting that much can be learned about stratifed atmo- spheric fows from the study of laboratory scale boundary layers at relatively low Reynolds numbers. -
Stable Boundary Layer Issues
Stable Boundary Layer Issues G.J. Steeneveld Meteorology and Air Quality Section, Wageningen University Wageningen, The Netherlands [email protected] Abstract Understanding and prediction of the stable atmospheric boundary layer is a challenging task. Many physical processes are relevant in the stable boundary layer, i.e. turbulence, radiation, land surface coupling, orographic turbulent and gravity wave drag, and land surface heterogeneity. The development of robust stable boundary layer parameterizations for use in NWP and climate models is hampered by the multiplicity of processes and their unknown interactions. As a result, these models suffer from typical biases in key variables, such as 2m temperature, boundary layer depth, boundary layer wind speed. This paper summarizes the physical processes active in the stable boundary layer, their particular role, their interconnections and relevance for different stable boundary layer regimes (if understood). Also, the major model deficiencies are reported. 1. Introduction The planetary boundary layer (PBL) over land experiences a clear diurnal cycle due to the diurnal cycle of incoming radiation. From the evening transition, the Earth’s surface cools due to net longwave radiative loss. Consequently, the potential temperature increases with height, and a stable boundary layer (SBL) develops. As an illustration, Figure 1 depicts a histogram of near surface stability expressed in the bulk Richardson number (Ri) for one year (2008) of observations at the Wageningen observatory (Netherlands). For this mid-latitude station, the atmosphere is stably stratified for 51% of the time. Considering only stable conditions, the Ri distribution is heavily skewed with a median Ri of 0.01, and mean of 0.22. -
Analysis of Stability Parameters in Relation to Precipitation Associated with Pre-Monsoon Thunderstorms Over Kolkata, India
Analysis of stability parameters in relation to precipitation associated with pre-monsoon thunderstorms over Kolkata, India H P Nayak and M Mandal∗ Centre for Oceans, Rivers, Atmosphere and Land Sciences, Indian Institute of Technology Kharagpur, Kharagpur 721 302, India ∗Corresponding author. e-mail: [email protected] The upper air RS/RW (Radio Sonde/Radio Wind) observations at Kolkata (22.65N, 88.45E) during pre- monsoon season March–May, 2005–2012 is used to compute some important dynamic/thermodynamic parameters and are analysed in relation to the precipitation associated with the thunderstorms over Kolkata, India. For this purpose, the pre-monsoon thunderstorms are classified as light precipitation (LP), moderate precipitation (MP) and heavy precipitation (HP) thunderstorms based on the magnitude of associated precipitation. Richardson number in non-uniformly saturated (Ri*) and saturated atmosphere (Ri); vertical shear of horizontal wind in 0–3, 0–6 and 3–7 km atmospheric layers; energy-helicity index (EHI) and vorticity generation parameter (VGP) are considered for the analysis. The instability measured ∗ in terms of Richardson number in non-uniformly saturated atmosphere (Ri ) well indicate the occurrence of thunderstorms about 2 hours in advance. Moderate vertical wind shear in lower troposphere (0–3 km) and weak shear in middle troposphere (3–7 km) leads to heavy precipitation thunderstorms. The wind shear in 3–7 km atmospheric layers, EHI and VGP are good predictors of precipitation associated with thunderstorm. Lower tropospheric wind shear and Richardson number is a poor discriminator of the three classified thunderstorms. 1. Introduction high socio-economic impact, thunderstorms are of serious concern to researchers and meteorologists. -
CFD Analysis of Heat Transfer and Wind Shear Near Air-Water Interface Zimeng Wu Clemson University, [email protected]
Clemson University TigerPrints All Theses Theses 5-2019 CFD Analysis of Heat Transfer and Wind Shear near Air-Water Interface Zimeng Wu Clemson University, [email protected] Follow this and additional works at: https://tigerprints.clemson.edu/all_theses Recommended Citation Wu, Zimeng, "CFD Analysis of Heat Transfer and Wind Shear near Air-Water Interface" (2019). All Theses. 3049. https://tigerprints.clemson.edu/all_theses/3049 This Thesis is brought to you for free and open access by the Theses at TigerPrints. It has been accepted for inclusion in All Theses by an authorized administrator of TigerPrints. For more information, please contact [email protected]. CFD ANALYSIS OF HEAT TRANSFER AND WIND SHEAR NEAR AIR-WATER INTERFACE A Thesis Presented to the Graduate School of Clemson University In Partial Fulfillment of the Requirements for the Degree Master of Science Civil Engineering by Zimeng Wu May 2019 Accepted by: Dr. Abdul Khan, Committee Chair Dr. Nigel Kaye, Co-committee Chair Dr. Ashok Mishra, Committee Member ABSTRACT This research was undertaken to examine a problem with respect to heat transfer and fluid dynamics, and this problem was simulated by CFD (Computational Fluid Dynamics). A tank of water with high initial temperature was exposed to an atmosphere with lower temperature than the water, which produced heat transfer at the air-water interface. The air had various magnitudes of velocity for different cases, which also generated wind shear near the interface. These two factors interacted and eventually got balanced for both thermodynamics and kinematics. The cooling plumes were observed in the initial stage when heat transfer was large due to the large difference of temperature between air and water. -
Asymmetrical Thermal Boundary Condition Influence on the Flow
fluids Article Asymmetrical Thermal Boundary Condition Influence on the Flow Structure and Heat Transfer Performance of Paramagnetic Fluid-Forced Convection in the Strong Magnetic Field Lukasz Pleskacz , Elzbieta Fornalik-Wajs * and Sebastian Gurgul Department of Fundamental Research in Energy Engineering, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków, Poland; [email protected] (L.P.); [email protected] (S.G.) * Correspondence: [email protected] Received: 15 November 2020; Accepted: 14 December 2020; Published: 16 December 2020 Abstract: Continuous interest in space journeys opens the research fields, which might be useful in non-terrestrial conditions. Due to the lack of the gravitational force, there will be a need to force the flow for mixing or heat transfer. Strong magnetic field offers the conditions, which can help to obtain the flow. In light of this origin, presented paper discusses the dually modified Graetz-Brinkman problem. The modifications were related to the presence of the magnetic field influencing the flow and asymmetrical thermal boundary condition. Dimensionless numerical analysis was performed, and two dimensionless numbers (magnetic Grashof number and magnetic Richardson number) were defined for paramagnetic fluid flow. The results revealed the heat transfer enhancement due to the strong magnetic field influence accompanied by possible but not essential flow structure modifications. On the other hand, the flow structure changes can be utilized to prevent the solid particles’ sedimentation. The explanation of the heat transfer enhancement including energy budget and vorticity distribution was presented. Keywords: computational fluid dynamics; strong magnetic field; thermo-magnetic convection; forced convection; Nusselt number; magnetic Richardson number 1.