Fundamentals Concerning Stokes Waves M. Rahman Department Of
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Accurate Modelling of Uni-Directional Surface Waves
Journal of Computational and Applied Mathematics 234 (2010) 1747–1756 Contents lists available at ScienceDirect Journal of Computational and Applied Mathematics journal homepage: www.elsevier.com/locate/cam Accurate modelling of uni-directional surface waves E. van Groesen a,b,∗, Andonowati a,b,c, L. She Liam a, I. Lakhturov a a Applied Mathematics, University of Twente, The Netherlands b LabMath-Indonesia, Bandung, Indonesia c Mathematics, Institut Teknologi Bandung, Indonesia article info a b s t r a c t Article history: This paper shows the use of consistent variational modelling to obtain and verify an Received 30 November 2007 accurate model for uni-directional surface water waves. Starting from Luke's variational Received in revised form 3 July 2008 principle for inviscid irrotational water flow, Zakharov's Hamiltonian formulation is derived to obtain a description in surface variables only. Keeping the exact dispersion Keywords: properties of infinitesimal waves, the kinetic energy is approximated. Invoking a uni- AB-equation directionalization constraint leads to the recently proposed AB-equation, a KdV-type Surface waves of equation that is also valid on infinitely deep water, that is exact in dispersion for Variational modelling KdV-type of equation infinitesimal waves, and that is second order accurate in the wave height. The accuracy of the model is illustrated for two different cases. One concerns the formulation of steady periodic waves as relative equilibria; the resulting wave profiles and the speed are good approximations of Stokes waves, even for the Highest Stokes Wave on deep water. A second case shows simulations of severely distorting downstream running bi-chromatic wave groups; comparison with laboratory measurements show good agreement of propagation speeds and of wave and envelope distortions. -
Dispersion of Tsunamis: Does It Really Matter? and Physics and Physics Discussions Open Access Open Access S
EGU Journal Logos (RGB) Open Access Open Access Open Access Advances in Annales Nonlinear Processes Geosciences Geophysicae in Geophysics Open Access Open Access Nat. Hazards Earth Syst. Sci., 13, 1507–1526, 2013 Natural Hazards Natural Hazards www.nat-hazards-earth-syst-sci.net/13/1507/2013/ doi:10.5194/nhess-13-1507-2013 and Earth System and Earth System © Author(s) 2013. CC Attribution 3.0 License. Sciences Sciences Discussions Open Access Open Access Atmospheric Atmospheric Chemistry Chemistry Dispersion of tsunamis: does it really matter? and Physics and Physics Discussions Open Access Open Access S. Glimsdal1,2,3, G. K. Pedersen1,3, C. B. Harbitz1,2,3, and F. Løvholt1,2,3 Atmospheric Atmospheric 1International Centre for Geohazards (ICG), Sognsveien 72, Oslo, Norway Measurement Measurement 2Norwegian Geotechnical Institute, Sognsveien 72, Oslo, Norway 3University of Oslo, Blindern, Oslo, Norway Techniques Techniques Discussions Open Access Correspondence to: S. Glimsdal ([email protected]) Open Access Received: 30 November 2012 – Published in Nat. Hazards Earth Syst. Sci. Discuss.: – Biogeosciences Biogeosciences Revised: 5 April 2013 – Accepted: 24 April 2013 – Published: 18 June 2013 Discussions Open Access Abstract. This article focuses on the effect of dispersion in 1 Introduction Open Access the field of tsunami modeling. Frequency dispersion in the Climate linear long-wave limit is first briefly discussed from a the- Climate Most tsunami modelers rely on the shallow-water equations oretical point of view. A single parameter, denoted as “dis- of the Past for predictions of propagationof and the run-up. Past Some groups, on persion time”, for the integrated effect of frequency dis- Discussions the other hand, insist on applying dispersive wave models, persion is identified. -
Arxiv:2002.03434V3 [Physics.Flu-Dyn] 25 Jul 2020
APS/123-QED Modified Stokes drift due to surface waves and corrugated sea-floor interactions with and without a mean current Akanksha Gupta Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, U.P. 208016, India.∗ Anirban Guhay School of Science and Engineering, University of Dundee, Dundee DD1 4HN, UK. (Dated: July 28, 2020) arXiv:2002.03434v3 [physics.flu-dyn] 25 Jul 2020 1 Abstract In this paper, we show that Stokes drift may be significantly affected when an incident inter- mediate or shallow water surface wave travels over a corrugated sea-floor. The underlying mech- anism is Bragg resonance { reflected waves generated via nonlinear resonant interactions between an incident wave and a rippled bottom. We theoretically explain the fundamental effect of two counter-propagating Stokes waves on Stokes drift and then perform numerical simulations of Bragg resonance using High-order Spectral method. A monochromatic incident wave on interaction with a patch of bottom ripple yields a complex interference between the incident and reflected waves. When the velocity induced by the reflected waves exceeds that of the incident, particle trajectories reverse, leading to a backward drift. Lagrangian and Lagrangian-mean trajectories reveal that surface particles near the up-wave side of the patch are either trapped or reflected, implying that the rippled patch acts as a non-surface-invasive particle trap or reflector. On increasing the length and amplitude of the rippled patch; reflection, and thus the effectiveness of the patch, increases. The inclusion of realistic constant current shows noticeable differences between Lagrangian-mean trajectories with and without the rippled patch. -
Part II-1 Water Wave Mechanics
Chapter 1 EM 1110-2-1100 WATER WAVE MECHANICS (Part II) 1 August 2008 (Change 2) Table of Contents Page II-1-1. Introduction ............................................................II-1-1 II-1-2. Regular Waves .........................................................II-1-3 a. Introduction ...........................................................II-1-3 b. Definition of wave parameters .............................................II-1-4 c. Linear wave theory ......................................................II-1-5 (1) Introduction .......................................................II-1-5 (2) Wave celerity, length, and period.......................................II-1-6 (3) The sinusoidal wave profile...........................................II-1-9 (4) Some useful functions ...............................................II-1-9 (5) Local fluid velocities and accelerations .................................II-1-12 (6) Water particle displacements .........................................II-1-13 (7) Subsurface pressure ................................................II-1-21 (8) Group velocity ....................................................II-1-22 (9) Wave energy and power.............................................II-1-26 (10)Summary of linear wave theory.......................................II-1-29 d. Nonlinear wave theories .................................................II-1-30 (1) Introduction ......................................................II-1-30 (2) Stokes finite-amplitude wave theory ...................................II-1-32 -
Title Relation Between Wave Characteristics of Cnoidal Wave
Relation between Wave Characteristics of Cnoidal Wave Title Theory Derived by Laitone and by Chappelear Author(s) YAMAGUCHI, Masataka; TSUCHIYA, Yoshito Bulletin of the Disaster Prevention Research Institute (1974), Citation 24(3): 217-231 Issue Date 1974-09 URL http://hdl.handle.net/2433/124843 Right Type Departmental Bulletin Paper Textversion publisher Kyoto University Bull. Disas. Prey. Res. Inst., Kyoto Univ., Vol. 24, Part 3, No. 225,September, 1974 217 Relation between Wave Characteristics of Cnoidal Wave Theory Derived by Laitone and by Chappelear By Masataka YAMAGUCHIand Yoshito TSUCHIYA (Manuscriptreceived October5, 1974) Abstract This paper presents the relation between wave characteristicsof the secondorder approxi- mate solutionof the cnoidal wave theory derived by Laitone and by Chappelear. If the expansionparameters Lo and L3in the Chappeleartheory are expanded in a series of the ratio of wave height to water depth and the expressionsfor wave characteristics of the secondorder approximatesolution of the cnoidalwave theory by Chappelearare rewritten in a series form to the second order of the ratio, the expressions for wave characteristics of the cnoidalwave theory derived by Chappelearagree exactly with the ones by Laitone, whichare convertedfrom the depth below the wave trough to the mean water depth. The limitingarea betweenthese theories for practical applicationis proposed,based on numerical comparison. In addition, somewave characteristicssuch as wave energy, energy flux in the cnoidal waves and so on are calculated. 1. Introduction In recent years, the various higher order solutions of finite amplitude waves based on the perturbation method have been extended with the progress of wave theories. For example, systematic deviations of the cnoidal wave theory, which is a nonlinear shallow water wave theory, have been made by Kellern, Laitone2), and Chappelears> respectively. -
Waves and Weather
Waves and Weather 1. Where do waves come from? 2. What storms produce good surfing waves? 3. Where do these storms frequently form? 4. Where are the good areas for receiving swells? Where do waves come from? ==> Wind! Any two fluids (with different density) moving at different speeds can produce waves. In our case, air is one fluid and the water is the other. • Start with perfectly glassy conditions (no waves) and no wind. • As wind starts, will first get very small capillary waves (ripples). • Once ripples form, now wind can push against the surface and waves can grow faster. Within Wave Source Region: - all wavelengths and heights mixed together - looks like washing machine ("Victory at Sea") But this is what we want our surfing waves to look like: How do we get from this To this ???? DISPERSION !! In deep water, wave speed (celerity) c= gT/2π Long period waves travel faster. Short period waves travel slower Waves begin to separate as they move away from generation area ===> This is Dispersion How Big Will the Waves Get? Height and Period of waves depends primarily on: - Wind speed - Duration (how long the wind blows over the waves) - Fetch (distance that wind blows over the waves) "SMB" Tables How Big Will the Waves Get? Assume Duration = 24 hours Fetch Length = 500 miles Significant Significant Wind Speed Wave Height Wave Period 10 mph 2 ft 3.5 sec 20 mph 6 ft 5.5 sec 30 mph 12 ft 7.5 sec 40 mph 19 ft 10.0 sec 50 mph 27 ft 11.5 sec 60 mph 35 ft 13.0 sec Wave height will decay as waves move away from source region!!! Map of Mean Wind -
SWAN Technical Manual
SWAN TECHNICAL DOCUMENTATION SWAN Cycle III version 40.51 SWAN TECHNICAL DOCUMENTATION by : The SWAN team mail address : Delft University of Technology Faculty of Civil Engineering and Geosciences Environmental Fluid Mechanics Section P.O. Box 5048 2600 GA Delft The Netherlands e-mail : [email protected] home page : http://www.fluidmechanics.tudelft.nl/swan/index.htmhttp://www.fluidmechanics.tudelft.nl/sw Copyright (c) 2006 Delft University of Technology. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sec- tions, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is available at http://www.gnu.org/licenses/fdl.html#TOC1http://www.gnu.org/licenses/fdl.html#TOC1. Contents 1 Introduction 1 1.1 Historicalbackground. 1 1.2 Purposeandmotivation . 2 1.3 Readership............................. 3 1.4 Scopeofthisdocument. 3 1.5 Overview.............................. 4 1.6 Acknowledgements ........................ 5 2 Governing equations 7 2.1 Spectral description of wind waves . 7 2.2 Propagation of wave energy . 10 2.2.1 Wave kinematics . 10 2.2.2 Spectral action balance equation . 11 2.3 Sourcesandsinks ......................... 12 2.3.1 Generalconcepts . 12 2.3.2 Input by wind (Sin).................... 19 2.3.3 Dissipation of wave energy (Sds)............. 21 2.3.4 Nonlinear wave-wave interactions (Snl) ......... 27 2.4 The influence of ambient current on waves . 33 2.5 Modellingofobstacles . 34 2.6 Wave-inducedset-up . 35 2.7 Modellingofdiffraction. 35 3 Numerical approaches 39 3.1 Introduction........................... -
Variational Principles for Water Waves from the Viewpoint of a Time-Dependent Moving Mesh
Variational principles for water waves from the viewpoint of a time-dependent moving mesh Thomas J. Bridges & Neil M. Donaldson Department of Mathematics, University of Surrey, Guildford, GU2 7XH, UK May 21, 2010 Abstract The time-dependent motion of water waves with a parametrically-defined free surface is mapped to a fixed time-independent rectangle by an arbitrary transformation. The emphasis is on the general properties of transformations. Special cases are algebraic transformations based on transfinite interpolation, conformal mappings, and transformations generated by nonlinear elliptic PDEs. The aim is to study the effect of transformation on variational principles for water waves such as Luke’s Lagrangian formulation, Zakharov’s Hamiltonian formulation, and the Benjamin-Olver Hamiltonian formulation. Several novel features are exposed using this approach: a conservation law for the Jacobian, an explicit form for surface re-parameterization, inner versus outer variations and their role in the generation of hidden conservation laws of the Laplacian, and some of the differential geometry of water waves becomes explicit. The paper is restricted to the case of planar motion, with a preliminary discussion of the extension to three-dimensional water waves. 1 Introduction In the theory of water waves, the fluid domain shape is changing with time. Therefore it is appealing to transform the moving domain to a fixed domain. This approach, first for steady waves and later for unsteady waves, has been widely used in the study of water waves. However, in all cases the transformation is either algebraic (explicit) or a conformal mapping. In this paper we look at the equations governing the motion of water waves from the viewpoint of an arbitrary time-dependent transformation of the form x(µ,ν,τ) (µ,ν,τ) y(µ,ν,τ) , (1.1) 7→ t(τ) where (µ,ν) are coordinates for a fixed time-independent rectangle D := (µ,ν) : 0 µ L and h ν 0 , (1.2) { ≤ ≤ − ≤ ≤ } with h, L given positive parameters. -
Waves on Deep Water, I
Lecture 14: Waves on deep water, I Lecturer: Harvey Segur. Write-up: Adrienne Traxler June 23, 2009 1 Introduction In this lecture we address the question of whether there are stable wave patterns that propagate with permanent (or nearly permanent) form on deep water. The primary tool for this investigation is the nonlinear Schr¨odinger equation (NLS). Below we sketch the derivation of the NLS for deep water waves, and review earlier work on the existence and stability of 1D surface patterns for these waves. The next lecture continues to more recent work on 2D surface patterns and the effect of adding small damping. 2 Derivation of NLS for deep water waves The nonlinear Schr¨odinger equation (NLS) describes the slow evolution of a train or packet of waves with the following assumptions: • the system is conservative (no dissipation) • then the waves are dispersive (wave speed depends on wavenumber) Now examine the subset of these waves with • only small or moderate amplitudes • traveling in nearly the same direction • with nearly the same frequency The derivation sketch follows the by now normal procedure of beginning with the water wave equations, identifying the limit of interest, rescaling the equations to better show that limit, then solving order-by-order. We begin by considering the case of only gravity waves (neglecting surface tension), in the deep water limit (kh → ∞). Here h is the distance between the equilibrium surface height and the (flat) bottom; a is the wave amplitude; η is the displacement of the water surface from the equilibrium level; and φ is the velocity potential, u = ∇φ. -
Marine Forecasting at TAFB [email protected]
Marine Forecasting at TAFB [email protected] 1 Waves 101 Concepts and basic equations 2 Have an overall understanding of the wave forecasting challenge • Wave growth • Wave spectra • Swell propagation • Swell decay • Deep water waves • Shallow water waves 3 Wave Concepts • Waves form by the stress induced on the ocean surface by physical wind contact with water • Begin with capillary waves with gradual growth dependent on conditions • Wave decay process begins immediately as waves exit wind generation area…a.k.a. “fetch” area 4 5 Wave Growth There are three basic components to wave growth: • Wind speed • Fetch length • Duration Wave growth is limited by either fetch length or duration 6 Fully Developed Sea • When wave growth has reached a maximum height for a given wind speed, fetch and duration of wind. • A sea for which the input of energy to the waves from the local wind is in balance with the transfer of energy among the different wave components, and with the dissipation of energy by wave breaking - AMS. 7 Fetches 8 Dynamic Fetch 9 Wave Growth Nomogram 10 Calculate Wave H and T • What can we determine for wave characteristics from the following scenario? • 40 kt wind blows for 24 hours across a 150 nm fetch area? • Using the wave nomogram – start on left vertical axis at 40 kt • Move forward in time to the right until you reach either 24 hours or 150 nm of fetch • What is limiting factor? Fetch length or time? • Nomogram yields 18.7 ft @ 9.6 sec 11 Wave Growth Nomogram 12 Wave Dimensions • C=Wave Celerity • L=Wave Length • -
Basin Scale Tsunami Propagation Modeling Using Boussinesq Models: Parallel Implementation in Spherical Coordinates
WCCE – ECCE – TCCE Joint Conference: EARTHQUAKE & TSUNAMI BASIN SCALE TSUNAMI PROPAGATION MODELING USING BOUSSINESQ MODELS: PARALLEL IMPLEMENTATION IN SPHERICAL COORDINATES J. T. Kirby1, N. Pophet2, F. Shi1, S. T. Grilli3 ABSTRACT We derive weakly nonlinear, weakly dispersive model equations for propagation of surface gravity waves in a shallow, homogeneous ocean of variable depth on the surface of a rotating sphere. A numerical scheme is developed based on the staggered-grid finite difference formulation of Shi et al (2001). The model is implemented using the domain decomposition technique in conjunction with the message passing interface (MPI). The efficiency tests show a nearly linear speedup on a Linux cluster. Relative importance of frequency dispersion and Coriolis force is evaluated in both the scaling analysis and the numerical simulation of an idealized case on a sphere. 1 INTRODUCTION The conventional models in the global-scale tsunami modeling are based on the shallow water equations and neglect frequency dispersion effects in wave propagation. Recent studies on tsunami modeling revealed that such tsunami models may not be satisfactory in predicting tsunamis caused by nonseismic sources (Løvholt et al., 2008). For seismic tsunamis, the frequency dispersion effects in the long distance propagation of tsunami fronts may become significant. The numerical simulations of the 2004 Indian Ocean tsunami by Glimsdal et al. (2006) and Grue et al. (2008) indicated the undular bores may evolve in shallow water, as the phenomenon evidenced in observations (Shuto, 1985). In the simulation for the same tsunami by Grilli et al. (2007), the dispersive effects were quantified by running the dispersive Boussinesq model FUNWAVE (Kirby et al., 1998) and the NSWE solver. -
Spectral Analysis
Ocean Environment Sep. 2014 Kwang Hyo Jung, Ph.D Assistant Professor Dept. of Naval Architecture & Ocean Engineering Pusan National University Introduction Project Phase and Functions Appraise Screen new development development Identify Commence basic Complete detail development options options & define Design & define design & opportunity & Data acquisition base case equipment & material place order LLE Final Investment Field Feasibility Decision Const. and Development Pre-FEED FEED Detail Eng. Procurement Study Installation Planning (3 - 5 M) (6 - 8 M) (33 - 36 M) 1st Production 45/40 Tendering for FEED Tendering for EPCI Single Source 30/25 (4 - 6 M) (11 - 15 M) Design Competition 20/15 15/10 0 - 10/- 5 - 15/-10 - 25/-15 Cost Estimate Accuracy (%) EstimateAccuracy Cost - 40/- 25 Equipment Bills of Material & Concept options Process systems & Material Purchase order & Process blocks defined Definition information Ocean Water Properties Density, Viscosity, Salinity and Temperature Temperature • The largest thermocline occurs near the water surface. • The temperature of water is the highest at the surface and decays down to nearly constant value just above 0 at a depth below 1000 m. • This decay is much faster in the colder polar region compared to the tropical region and varies between the winter and summer seasons. Salinity • The variation of salinity is less profound, except near the coastal region. • The river run-off introduces enough fresh water in circulation near the coast producing a variable horizontal as well as vertical salinity. • In the open sea. the salinity is less variable having an average value of about 35 ‰ (permille, parts per thousand). Viscosity • The dynamic viscosity may be obtained by multiplying the viscosity with mass density.