Shallow Water Theory
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Laws of Similarity in Fluid Mechanics 21
Laws of similarity in fluid mechanics B. Weigand1 & V. Simon2 1Institut für Thermodynamik der Luft- und Raumfahrt (ITLR), Universität Stuttgart, Germany. 2Isringhausen GmbH & Co KG, Lemgo, Germany. Abstract All processes, in nature as well as in technical systems, can be described by fundamental equations—the conservation equations. These equations can be derived using conservation princi- ples and have to be solved for the situation under consideration. This can be done without explicitly investigating the dimensions of the quantities involved. However, an important consideration in all equations used in fluid mechanics and thermodynamics is dimensional homogeneity. One can use the idea of dimensional consistency in order to group variables together into dimensionless parameters which are less numerous than the original variables. This method is known as dimen- sional analysis. This paper starts with a discussion on dimensions and about the pi theorem of Buckingham. This theorem relates the number of quantities with dimensions to the number of dimensionless groups needed to describe a situation. After establishing this basic relationship between quantities with dimensions and dimensionless groups, the conservation equations for processes in fluid mechanics (Cauchy and Navier–Stokes equations, continuity equation, energy equation) are explained. By non-dimensionalizing these equations, certain dimensionless groups appear (e.g. Reynolds number, Froude number, Grashof number, Weber number, Prandtl number). The physical significance and importance of these groups are explained and the simplifications of the underlying equations for large or small dimensionless parameters are described. Finally, some examples for selected processes in nature and engineering are given to illustrate the method. 1 Introduction If we compare a small leaf with a large one, or a child with its parents, we have the feeling that a ‘similarity’ of some sort exists. -
Chapter 5 Dimensional Analysis and Similarity
Chapter 5 Dimensional Analysis and Similarity Motivation. In this chapter we discuss the planning, presentation, and interpretation of experimental data. We shall try to convince you that such data are best presented in dimensionless form. Experiments which might result in tables of output, or even mul- tiple volumes of tables, might be reduced to a single set of curves—or even a single curve—when suitably nondimensionalized. The technique for doing this is dimensional analysis. Chapter 3 presented gross control-volume balances of mass, momentum, and en- ergy which led to estimates of global parameters: mass flow, force, torque, total heat transfer. Chapter 4 presented infinitesimal balances which led to the basic partial dif- ferential equations of fluid flow and some particular solutions. These two chapters cov- ered analytical techniques, which are limited to fairly simple geometries and well- defined boundary conditions. Probably one-third of fluid-flow problems can be attacked in this analytical or theoretical manner. The other two-thirds of all fluid problems are too complex, both geometrically and physically, to be solved analytically. They must be tested by experiment. Their behav- ior is reported as experimental data. Such data are much more useful if they are ex- pressed in compact, economic form. Graphs are especially useful, since tabulated data cannot be absorbed, nor can the trends and rates of change be observed, by most en- gineering eyes. These are the motivations for dimensional analysis. The technique is traditional in fluid mechanics and is useful in all engineering and physical sciences, with notable uses also seen in the biological and social sciences. -
Modal De Géophysique Gravity Current [email protected]
Ecole Polytechnique Printemps 2018 Modal de Géophysique Gravity current [email protected] 1.1 Introduction Gravity currents play an important role in a vast array of geophysical and engineering applications and have been the subject of extensive theoretical, numerical, and experimental investigations over the past few decades. A Gravity current is buoyancy driven flow arising from the sudden release of a fixed volume of heavy fluid into a larger body of less dense ambient fluid. The driving density contrasts for these flows may be due to temperature, salinity, or the presence of suspended material (Moodie 2002; Shin et al. 2004; Simpson 1999). They are common in nature: snow avalanches, submarine rock slides, dust storms, explosive volcano eruption, lava flows, mud flows (see Huppert (2006)). The purpose of the experiments is to get insights on the variation of the flow as a function of the parameters involved in the fluid dynamics. This experimental study focuses on two types of gravity currents. The first experiment is a model for classic forms of gravity currents (avalanches, lava flows, mud flows or dust storms). The second experiment models the strait of Gibraltar. Here the work is to understand the characteristics of a gravity current flowing over a seamount. 1.1.1 Materials Figure 1.1: Given material to do the experiment 1-1 1-2 Cours 1: The tank is 282 centimeters long and w is 16:4 centimeters long. To prepare the salted water, you will use a precise graduated cylinder and you will check the concentration using the refractometer. At the end of the experiment, you will empty the tank into the sink and clean the bottom tank with the sponge to remove the residual salt and fluorescein. -
Buoyancy Driven Flows
Buoyancy Driven Flows Buoyancy Driven Flows Eric P. Chassignet, Claudia Cenedese, and Jacques Verron 1 Gravity flow on steep slope Christophe Ancey Ecole´ Polytechnique F´ed´eralede Lausanne, Ecublens,´ 1015 Lausanne, Switzerland 1.1 Introduction Particle-laden gravity-driven flows occur in a large variety of natural and industrial situations. Typical examples include turbidity currents, volcanic eruptions, and sand storms (see Simpson, 1997, for a review). On moun- tain slopes, debris flows and snow avalanches provide particular instances of vigorous dense flows, which have special features that make them different from usual gravity currents: • they belong to the class of non-Boussinesq flows since the density differ- ence between the ambient fluid and the flow is usually very large while most gravity currents are generated by a density difference of a few per cent; • while many gravity currents are driven by pressure gradient and buoy- ancy forces, the dynamics of flows on slope are controlled by the balance between the gravitational acceleration and dissipation forces. Understand- ing the rheological behavior of particle suspensions is often of paramount importance when studying gravity flows on steep slope. This chapter reviews some of the essential features of snow avalanches and debris flows. Since these flows are a major threat to human activities in mountain areas, they have been studied since the late 19th century. In spite of the huge amount of work done in collecting field data and developing flow- dynamics models, there remain great challenges in efforts to understand the dynamics of flows on steep slope and, ultimately, predict their occurrence and behavior. -
Lobe-Cleft Patterns in the Leading Edge of a Gravity Current
Lobe-Cleft Patterns in the Leading Edge of a Gravity Current by Jerome Neufeld A report submitted in conformity with the requirements for the degree of Master of Science Department of Physics University of Toronto c Jerome Neufeld 2002 Unpublished, see also http://www.physics.utoronto.ca/nonlinear i Abstract Gravity currents appear in various geophysical fluid flows such as oceanic turbidity currents, avalanches, pyroclastic flows, etc. A laboratory analogue of these flows was constructed using a lock-exchange tank (150 60 30 cm), where the density difference × × was produced by the addition of titanium dioxide powder to water. This setup was then applied to study gravity currents driven by a variety of density differences, measuring the mean front speed and the shape of the leading edge. Planform views of the head of the gravity current were taken and the evolution of a spanwise lobe- cleft pattern was measured as a function of time. Growth and decay of the lobes, as well as lobe splitting, were observed in time-evolution diagrams. The observed structure of the front was compared to a theoretical linear stability treatment of the lobe-cleft instability by H¨artel et al. In this theory an unstable density inversion occurs when the leading edge of the denser gravity current overrides the less dense ambient fluid. The predictions of this theory were tested against the observations of the dominant wavenumber versus Grashof number, the ratio of buoyancy to viscous forces. The lobe-cleft pattern was found to first develop in a regime of elongated fingers with wavenumbers greater than the predictions of the linear stability analysis and subsequently transform to the shifting lobe-cleft regime with initial wavenumbers less than those predicted by H¨artel et al. -
Dimensional Analysis and Modeling
cen72367_ch07.qxd 10/29/04 2:27 PM Page 269 CHAPTER DIMENSIONAL ANALYSIS 7 AND MODELING n this chapter, we first review the concepts of dimensions and units. We then review the fundamental principle of dimensional homogeneity, and OBJECTIVES Ishow how it is applied to equations in order to nondimensionalize them When you finish reading this chapter, you and to identify dimensionless groups. We discuss the concept of similarity should be able to between a model and a prototype. We also describe a powerful tool for engi- ■ Develop a better understanding neers and scientists called dimensional analysis, in which the combination of dimensions, units, and of dimensional variables, nondimensional variables, and dimensional con- dimensional homogeneity of equations stants into nondimensional parameters reduces the number of necessary ■ Understand the numerous independent parameters in a problem. We present a step-by-step method for benefits of dimensional analysis obtaining these nondimensional parameters, called the method of repeating ■ Know how to use the method of variables, which is based solely on the dimensions of the variables and con- repeating variables to identify stants. Finally, we apply this technique to several practical problems to illus- nondimensional parameters trate both its utility and its limitations. ■ Understand the concept of dynamic similarity and how to apply it to experimental modeling 269 cen72367_ch07.qxd 10/29/04 2:27 PM Page 270 270 FLUID MECHANICS Length 7–1 ■ DIMENSIONS AND UNITS 3.2 cm A dimension is a measure of a physical quantity (without numerical val- ues), while a unit is a way to assign a number to that dimension. -
Dimensional Analysis Autumn 2013
TOPIC T3: DIMENSIONAL ANALYSIS AUTUMN 2013 Objectives (1) Be able to determine the dimensions of physical quantities in terms of fundamental dimensions. (2) Understand the Principle of Dimensional Homogeneity and its use in checking equations and reducing physical problems. (3) Be able to carry out a formal dimensional analysis using Buckingham’s Pi Theorem. (4) Understand the requirements of physical modelling and its limitations. 1. What is dimensional analysis? 2. Dimensions 2.1 Dimensions and units 2.2 Primary dimensions 2.3 Dimensions of derived quantities 2.4 Working out dimensions 2.5 Alternative choices for primary dimensions 3. Formal procedure for dimensional analysis 3.1 Dimensional homogeneity 3.2 Buckingham’s Pi theorem 3.3 Applications 4. Physical modelling 4.1 Method 4.2 Incomplete similarity (“scale effects”) 4.3 Froude-number scaling 5. Non-dimensional groups in fluid mechanics References White (2011) – Chapter 5 Hamill (2011) – Chapter 10 Chadwick and Morfett (2013) – Chapter 11 Massey (2011) – Chapter 5 Hydraulics 2 T3-1 David Apsley 1. WHAT IS DIMENSIONAL ANALYSIS? Dimensional analysis is a means of simplifying a physical problem by appealing to dimensional homogeneity to reduce the number of relevant variables. It is particularly useful for: presenting and interpreting experimental data; attacking problems not amenable to a direct theoretical solution; checking equations; establishing the relative importance of particular physical phenomena; physical modelling. Example. The drag force F per unit length on a long smooth cylinder is a function of air speed U, density ρ, diameter D and viscosity μ. However, instead of having to draw hundreds of graphs portraying its variation with all combinations of these parameters, dimensional analysis tells us that the problem can be reduced to a single dimensionless relationship cD f (Re) where cD is the drag coefficient and Re is the Reynolds number. -
Effects of Reynolds Number on the Energy Conversion and Near-Wake Dynamics of a High Solidity Vertical-Axis Cross-Flow Turbine
Article Effects of Reynolds Number on the Energy Conversion and Near-Wake Dynamics of a High Solidity Vertical-Axis Cross-Flow Turbine Peter Bachant and Martin Wosnik * Center for Ocean Renewable Energy, University of New Hampshire, 24 Colovos Rd., Durham, NH 03824, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-603-862-1891 Academic Editor: Sukanta Basu Received: 1 November 2015; Accepted: 15 January 2016; Published: 26 January 2016 Abstract: Experiments were performed with a large laboratory-scale high solidity cross-flow turbine to investigate Reynolds number effects on performance and wake characteristics and to establish scale thresholds for physical and numerical modeling of individual devices and arrays. It was demonstrated that the performance of the cross-flow turbine becomes essentially Re-independent 6 at a Reynolds number based on the rotor diameter ReD ≈ 10 or an approximate average Reynolds 5 number based on the blade chord length Rec ≈ 2 × 10 . A simple model that calculates the peak torque coefficient from static foil data and cross-flow turbine kinematics was shown to be a reasonable predictor for Reynolds number dependence of an actual cross-flow turbine operating under dynamic conditions. Mean velocity and turbulence measurements in the near-wake showed subtle differences over the range of Re investigated. However, when transport terms for the streamwise momentum and mean kinetic energy were calculated, a similar Re threshold was revealed. These results imply 6 that physical model studies of cross-flow turbines should achieve ReD ∼ 10 to properly approximate both the performance and wake dynamics of full-scale devices and arrays. -
Shallow Water Analysis of Gravity Current Flows Past Isolated Obstacles
Under consideration for publication in J. Fluid Mech. 1 Shallow water analysis of gravity current flows past isolated obstacles By E. G O N Z A L E Z - J U E Z AND E. M E I B U R G Department of Mechanical Engineering, University of California at Santa Barbara (Received ?? and in revised form ??) The flow of a partial-depth lock-exchange gravity current past an isolated surface- mounted obstacle is studied by means of two-dimensional direct numerical simulations and steady shallow water theory. The simulations indicate that the flux of the current downstream of the obstacle is approximately constant in space and time. This information is employed to extend the shallow-water models of Rottman et al. (1985) and Lane-Serff et al. (1995), in order to predict the height and front speed of the downstream current as functions of the upstream Froude number and the ratio of obstacle to current height. The model predictions are found to agree closely with the simulation results. In addition, the shallow water model provides an estimate for the maximum drag that lies within 10% of the simulation results, for obstacles much larger than the boundary layer thickness. 1. Introduction Gravity currents form in natural environments and engineering applications when a heavier fluid propagates into a lighter one in a predominantly horizontal direction (Simp- son (1997)). The study of gravity current flows around surface-mounted obstacles has been motivated by practical applications such as the design of barriers for the contain- ment of heavy hazardous gases (Rottman et al. -
A Finite Volume Implementation of the Shallow Water Equations for Boussinesq Gravity Currents by Thomas Meyer Hatcher Jr. a Thes
A Finite Volume Implementation of the Shallow Water Equations for Boussinesq Gravity Currents by Thomas Meyer Hatcher Jr. A thesis submitted to the Graduate Faculty of Auburn University in partial fulfillment of the requirements for the Degree of Master of Science Auburn, Alabama August 4, 2012 Keywords: Gravity Currents, Lock-exchange, Finite Volume Method, Shallow Water Equations Copyright 2012 by Thomas Meyer Hatcher Jr. Approved by Jose´ Goes Vasconcelos Neto, Chair, Assistant Professor of Civil Engineering Prabakhar Clement, Professor of Civil Engineering Xing Fang, Associate Professor of Civil Engineering Abstract The shallow water equations (SWE) are a powerful tool for modeling the propagation of grav- ity currents (GC) because of their relative simplicity, computational efficiency and accuracy. Finite difference solutions, either based on the method of characteristics (MOC) or the implementation of numerical schemes such as Lax-Wendroff (LxW) have been traditionally used in such flow com- putations. On the other hand, the finite volume method (FVM) has been gaining popularity in several other hydraulic applications, being favored in cases when flow discontinuities are antic- ipated. This work is focused on an implementation of the finite volume method (FVM) to the solution of Boussinesq GC using the one and two-layer SWE models. The proposed two-layer mathematical model is a modification of the the work by [Rottman and Simpson, 1983], adapted to express such equations in a vectorial conservative format, amenable for FVM implementation. The traditional solution for the GC front boundary condition (BC), using a characteristic equation and a front condition, is compared to a new formulation that explicitly enforces local mass and momentum conservation. -
Characterization of Incoming Tsunamis for the Design of Coastal Structures
Characterization of incoming tsunamis for the design of coastal structures A numerical study using the SWASH model T. Glasbergen T. GLASBERGEN I Characterization of incoming tsunamis for the design of coastal structures A numerical study using the SWASH model By Toni Glasbergen In partial fulfilment of the requirements for the degree of Master of Science At the Delft University of Technology, to be defended publicly on Tuesday January 23, 2018 at 11:00 AM. Supervisor: Dr. ir. B. Hofland TU Delft Thesis committee: Prof. dr. ir. A.J.H.M. Reniers, TU Delft Dr. M. Esteban, University of Tokyo Dr. ir. J.D. Bricker, TU Delft Dr .ir. M. Zijlema TU Delft T. GLASBERGEN II __________________________ Abstract The Tohoku Tsunami of 2011 in Japan flooded a large part of the coastal area of Japan. The tsunami was caused by an earthquake with a magnitude of 9.0 just of the coast of Tohoku. The inundation height of the tsunami exceeded the design height of the tsunami barriers. This event led to thousands of fatalities. To prevent this damage from a tsunami event to happen again, the coast should have a good defence system. The government of Japan has built or raised hundreds of meters of seawall in areas that where hit the most. The effectiveness of the barrier is questioned and also the design standards of the barriers are unclear. The tsunami events are categorized in two protection levels after the 2011 tsunami. An 1 in about 100 year return period is level 1 and an 1 in about 1000 year return period is level 2. -
Chapter 7 Resistance and Powering of Ships
COURSE OBJECTIVES CHAPTER 7 7. RESISTANCE AND POWERING OF SHIPS 1. Define effective horsepower (EHP) conceptually and mathematically 2. State the relationship between velocity and total resistance, and velocity and effective horsepower 3. Write an equation for total hull resistance as a sum of viscous resistance, wave making resistance and correlation resistance. Explain each of these resistive terms. 4. Draw and explain the flow of water around a moving ship showing the laminar flow region, turbulent flow region, and separated flow region 5. Draw the transverse and longitudinal wave patterns when a displacement ship moves through the water 6. Define Reynolds number with a mathematical formula and explain each parameter in the Reynolds equation with units 7. Be qualitatively familiar with the following sources of ship resistance: a. Steering Resistance b. Air and Wind Resistance c. Added Resistance due to Waves d. Increased Resistance in Shallow Water 8. Read and interpret a ship resistance curve including humps and hollows 9. State the importance of naval architecture modeling for the resistance on the ship's hull 10. Define geometric and dynamic similarity 11. Write the relationships for geometric scale factor in terms of length ratios, speed ratios, wetted surface area ratios and volume ratios 12. Describe the law of comparison (Froude’s law of corresponding speeds) conceptually and mathematically, and state its importance in model testing 13. Qualitatively describe the effects of length and bulbous bows on ship resistance i 14. Be familiar with the momentum theory of propeller action and how it can be used to describe how a propeller creates thrust 15.