Resistance Due to Vegetation
|
|
- Jessica Cross
- 5 years ago
- Views:
Transcription
1 Resistance Due to egetation by Dr. Craig Fiscenic May 000 Complexity alue as a Design Tool Cost Low Moerate ig Low Moerate ig Low Moerate ig OERIEW Drag is generate wen a flui moves troug vegetation. Te rag creates velocity graients an eies tat cause momentum losses. Tese losses are significant for a wie range of flow conitions, an existing tecniques for te preiction of resistance o not take tese into account, leaing to unerpreictions of resistance. Concepts of rag were employe to formulate two new resistance relations for cases wen ense vegetation is present in te flooway: n = K n R /3 C A g for unsubmerge vegetation, an: /6 K n n = R (RS Eqn7 ) / for fully submerge vegetation. alues for CA as a function of vegetation type an flow conition are presente in an accompanying tecnical note. PYSICAL PROCESSES Te primary resistance to te flow of water in unrestricte open cannel flows can be g attribute to te effect of viscous sear at te bounaries of te cannel. Tis realization le Prantl (904) to formulate a logaritmic velocity relation for open cannel flows. is propose logaritmic istribution as been sown to be a goo representation of te actual velocity istribution in cannels an canals tat o not ave obstructions in te water column (Cow 959). Te assumptions Prantl use to erive te logaritmic velocity istribution are not vali for vegetate flooways. In aition to te viscous sear at te bounaries of te cannel, te vegetative elements generate form rag losses. Te rag inuce by te vegetative elements impees te flow an causes a eficit in te local velocity. Fiscenic (996) foun tat te net effect of tis rag on te velocity profile was consistent for all of te ata present in te literature, regarless of te vegetation type or flow meium. Figure presents velocity istributions for tree flow conitions: unobstructe, submerge vegetation, an unsubmerge vegetation. Te eviation from te logaritmic profile for te two cases wit vegetation impeing te flow is clear. Figure sows velocity plots for several vegetation types an flow conitions. Te eigts an velocities are normalize for comparative purposes. Te profiles isplay similar caracteristics; retare velocities an a near-zero velocity graient witin te lower USAE Waterways Experiment Station, 3909 alls Ferry R., icksburg, MS 3980 ERDC TN-EMRRP-SR-07
2 portion of te vegetation canopy, a zone near te top of te vegetation wit a very ig velocity graient, an an approximately logaritmic istribution above te vegetation. 3 Figure. elocity istribution for submerge an unsubmerge vegetation. elocity istribution represents vegetation conition to te left 3.5 y/ U/U Figure. Normalize velocity istributions for various types of vegetation an flow conitions. Te combine ata represent 7 analyses of grasses, 3 analyses of srubs, an 6 analyses of trees ERDC TN-EMRRP-SR-07
3 Because vegetative rag can ave a profoun effect on te velocity an, tus, te water surface elevation, any expression of te flow conitions in a vegetate cannel must inclue rag. Te general relation for rag is: momentum loss uner most flow conitions. F ρ = C A () were F =rag force (ML/T ) ρ=flui ensity (M/L 3 ) C =an empirical, imensionless rag coefficient A=area of te obstruction normal to te flow (L ) =approac velocity of te flui (L/T) Fenzl an Davis (964) foun tat te relative influence of te vegetation rag an te soil sear for unsubmerge vegetation is a function of te eigt above te be z relative to te eigt of te vegetation an two eigts z an z between z = 0 an tat are a function of te seiment graation an te vegetation properties (Figure 3). Tey etermine tat: ) For a range of small epts of flow ( z < z < ), soil rougness is te preominant source of yraulic resistance. Uner tese conitions, resistance ecreases wit increasing ept of flow. ) At some greater flow ept ( z < z < ), resistance becomes essentially inepenent of small canges in soil rougness an increases wit increasing ept of flow. 3) For intermeiate epts ( z < z < z ), resistance is influence by bot soil an vegetative rougness. Fenzl an Davis foun tat te ratio of resistance ue to soil rougness to total resistance ecrease from a value of 0.5 at a ept of flow of 0. ft, to 0.07 at a ept of 0. ft. Tus, te significance of te soil properties witin te vegetate portion of te flooway is significant only for very sallow flows, an vegetative rag is te ominant source of Figure 3. Parametric escription for Fenzl an Davis (964) relations. RESISTANCE FOR UNSUBMERGED EGETATION A relation for unsubmerge vegetation can be formulate from te principle of conservation of linear momentum. Following a erivation similar to tat for te e Saint enant Equation, te sum of te external forces in a control volume (C) is equate to te rate of cange of linear momentum: ERDC TN-EMRRP-SR-07 3 Z Z Σ F = ma = m( ) () t Consiering only te x-component of te linear momentum, te rigt sie of Equation can be expane to form Equation 3 as follows: M ρ A = ( ρa) x+ x -( ρ qsu s ) x t t x Te external forces inclue gravity (F g ), pressure (F p ), rag (F ), an friction (F f ), for wic te x-component wic can be escribe as: F g = ρ ga xs o (4)
4 y F p = -ρ g A x (5) x F F f ρ = - C A A x (6) = -ρ ga xs f (7) were Fg = external gravity force on te C So = be slope Fp = external pressure force on te C F = external rag force exerte by te vegetation on te C A = A i /A x = vegetation ensity per unit cannel lengt L - F f = external friction force ue to sear on te bounary S f = friction slope (i.e. te slope of te momentum grae line) Equating te slope term in Equation to te slope term in Manning's Equation, a relation for Manning's n is establise as: / /3 C A n = K n R () g Alternative erivations of Equation from energy or sear consierations are possible. Te form varies epening on te assumptions mae. Equation requires an estimate of te rag coefficient C an te corresponing vegetation area. Tese are iscusse in furter etail later in tis capter. Tis equation is applicable only wen te vegetation is unsubmerge because it oes not account for te momentum flux ownwar into te canopy tat occurs wit overtopping flows (Figure 4). Te following section aresses submerge vegetation cases. Collecting tese terms an rearranging, te left-an sie of Equation gives: C Σ A y F = A ρ g x S o - S f - - (8) g x Using Equations 3 an 8, assuming te seepage inflow an te bounary sear are negligible, an rearranging yiels Equation 9: A C g = S o - g t - g x - y x Figure 4. Example of flow troug unsubmerge vegetation wic is te unsteay, graually varie version of te e Saint enant Equation for linear momentum replacing te bounary sear term wit a rag term. Te corresponing steay, graually varie equation is: A C S o y = - - (0) g g x x an te steay, uniform equation is: A C g =S o () RESISTANCE FOR SUBMERGED EGETATION Equation oes not work well wen te vegetation is fully submerge because it oes not take into account complex flow conitions above te flow canopy tat can increase or ecrease overall resistance epening on te ept of flow an te Reynols number. owever, normalize velocity profiles for tis case are efinitive, an present an alternative approac to te erivation of a resistance relation. 4 ERDC TN-EMRRP-SR-07
5 Meteorologists an flui mecanicists involve wit win power generation, soil erosion control, crop management, an oter relate activities ave stuie te beavior of wins insie an irectly above forest canopies an crops. A moifie logaritmic law escribing turbulent velocity profiles as been propose by most investigators for situations wen stratification as only a minor influence, an can be summarize by u (z - ) Equation 3, below: = ln U * k zo For (z-)/z 0 (3) were u = local velocity U * = (τ/ρ) / is te friction velocity = zero-plane isplacement k = von Karman's imensionless sear layer constant z = eigt above te groun z o = surface rougness Figure 5 grapically presents te parameters in Equation 3. Te z o term is generally taken to represent a mean value across an uneven surface an is often eliminate from te numerator. Te isplacement tickness is important for tall rougness elements suc as long grasses, agricultural crops, forests, an tick riparian vegetation. In te absence of rougness elements or wen tey are sufficiently sort, te isplacement eigt is zero. Te parameters z o an are usually etermine from measure win profiles. E I 40 G 0 T (cm) 0 Z' = Z o Z o EGETATED SURFACE Z' = Z + o Z o BARE SOIL E I G T (m) 6 4 E I G T (m) ELOCITY (M/S) Figure 5. elocity isplacement meto ERDC TN-EMRRP-SR-07 5
6 It is customary to assume te von Kármán constant k = 0.4, to specify isplacement eigt as a function of te vegetation caracteristics an to solve for friction velocity an surface rougness eigt by fitting Equation 3 to measure ata. Surface rougness estimates ave been estimate for flow ata obtaine over ifferent agricultural crops an forests. A variance in te results approacing an orer of magnitue is common, even for flow over te same surface. Experimentalists frequently fail to obtain ata above te wake region of iniviual rougness elements (z > l.5); sometimes te ata are taken uring nonneutral conitions; an often upwin nonomogeneities istort te measure profiles. Table summarizes various investigators' estimates of z o an. In Table, s is te plant spacing, S is silouette area (te total area of te plant projecte normal to te flow), C f is te sear stan rag coefficient, an oter terms are as previously efine. Equation 3 as been foun to be a goo expression of te flui velocity profile for tat portion of te profile above about /3. owever, it oes not accurately represent te profile witin te lower portions of te vegetation canopy. For flow witin te vegetation canopy, ifferent profiles ave been propose by meteorologists using first- orer closure moels tat specify an ey iffusivity K an a rag coefficient C for constant foliage istribution. owever, none of tese expressions are consistent wit te observe zero velocity graient witin te lower alf of te vegetation canopy. Fiscenic (996) etermine tat te velocity profile witin te canopy coul better be approximate by: u cos( βξ ) = u cos( β ) 0.5 (4) Table. Formulae for Rougness Lengt Z o an Displacement Tickness Autor Z o = = Lettau (969) (0.5(s/S)) Massman (987).07(-)e**(-k(Cf/)**.5) *f(c LAI) Meroney (993) 0. < zo < < < 0.75 Otterman (98) Paescke (937) 0.5(-e**(-s/S)) /7.35 Seginer (974) (l/k)exp((-4k**3)/(lc a))**.33 -l/k Sellers (965).5 + ln ( in cm) Stanill (969) ERDC TN-EMRRP-SR-07
7 were C A u β = (5) K In Equations 4 an 5, u = local velocity u = velocity at te top of te uneflecte vegetation = uneflecte vegetation eigt z = eigt above te groun ξ = z/ C = a stan rag coefficient A = vegetation area base on ensity K = ey iffusion coefficient Fiscenic (996) investigate te relationsips between te lumpe rag-area term C A an te z o an terms in Equation 5. e foun tat tese parameters coul be approximate as functions of C A an tat, by replacing te K term in Equation 5, an expression for te mean velocity coul be reuce to a function of te vegetation eigt te flow ept y an te lumpe rag-area term C A (Equation 6):.5 =.6 e U y * 0 e 0.5 z (C A ) (C A ) z + z -.95 ln -( C A 0.3 e z Fiscenic s general equation is rater ifficult to work wit, but can be reuce to a simpler form wit some limiting assumptions. Assuming te C A value remains below unity an te flow ept is not more tan twice te eigt of te vegetation, estimates of witin 5 percent of te actual velocity can be obtaine by solving te integrals in Equation 6 to yiel: y -0.4 ) U * C A = y y ln By noting tat Manning's n value can also be expresse in terms of /U, te rigt-an sie (RS) of Equation 7 can be use to obtain a value of Manning's n for a particular flow ept y as follows: /6 K n n = R (RS Eqn 7 ) (. + C A ) g * 0.95 (8) (7) Equation 8 is applicable only in cases were te ept of te flow excees te eigt of te vegetation. Initial results of stuies by Fiscenic (996) suggest tat te practical application of Equation 8 is restricte to cases were te ept of flow is at least.y, toug aitional verification is neee. Because te flow ept must be specifie, te equation can be solve by iteration wen making normal ept computations or can be use to construct a N car for EC- analyses. Te vegetation eigt an a value for C A must be known in aition to te flow ept. Measurements of te vegetation eigt are relatively straigtforwar. Specifying appropriate values for C an A is te subject of an accompanying tecnical note. APPLICABILITY AND LIMITATIONS Tecniques escribe in tis tecnical note are applicable to stream restoration an assessment projects tat inclue floo conveyance as an objective, an were riparian vegetation is subject to flooing. Te range of applicability for te two resistance equations as not been fully explore. owever, te assumptions mae in teir erivation, early applications to fiel ata, an observations from laboratory stuies, suggest some preliminary limitations. Applicability is limite to steay uniform flow for te unsubmerge case (or at least quasi-steay, quasi-uniform flow). Properties tat likely efine te equation s applicability inclue: y ERDC TN-EMRRP-SR-07 7
8 relative flow ept, Reynols number, soil particle size, an vegetation ensity. Work by Fenzl an Davis (964) suggests tat a minimum flow ept of approximately 0. is neee for te assumption of negligible sear to be accurate. Te actual minimum ept soul be a function of te soil particle size an vegetation ensity, but tis relation cannot be efine currently. At sufficiently great epts, rag soul be only a small component of resistance an flow can be assesse using te relation represente by Equation. Again, vegetation ensity woul play a role in efining tis ept, but a value of 0 soul be a conservative estimate. Equation 9 is suggeste for y>0: Equation 9 is base upon te relative rougness of sans, gravels, an cobbles. It is n = k n y /6 g 5.75log( 4y ) (9) not a continuous function wit Equation 8, but eiter soul yiel reasonable values of resistance for flow epts in te range of 0. egetation ensity is a critical eterminant in te egree of rag experience an can elp efine te applicability of te equations. A closely relate issue is te efinition of vegetation area for te rag relation. Te rag coefficients neee for te application of Equations an 8 also epen upon te efinition of vegetation area, as aresse in an accompanying tecnical note. ACKNOWLEDGEMENT Researc presente in tis tecnical note was evelope uner te U.S. Army Corps of Engineers Ecosystem Management an Restoration Researc Program. Tecnical reviews were provie by Messrs. E.A. (Tony) Dareau, Jr., an Jerry L. Miller of te Environmental Laboratory, an Drs. Stepen L. Maynor an Marian Rollings of te Coastal an yraulics Laboratory. POINT OF CONTACT Tis tecnical note was written by Dr. Craig Fiscenic, Environmental Laboratory, U.S. Army Engineer Researc an Development Center (ERDC). For aitional information, contact Dr. Craig Fiscenic, ( , fiscec@wes.army.mil), or te manager of te Ecosystem Management an Restoration Researc Program, Dr. Russell F. Teriot ( , terior@wes.army.mil). Tis tecnical note soul be cite as follows: Fiscenic, C.,(000). "Resistance Due to egetation," EMRRP Tecnical Notes Collection (ERDC TN-EMRRP-SR-07), U.S. Army Engineer Researc an Development Center, icksburg, MS. REFERENCES Cow,.T. (959). Open-cannel yraulics. McGraw-ill, New York. Fenzl, R.N., an Davis, J.R. (964). "yraulic resistance relationsips for surface flows in vegetate cannels." Transactions of te American Society of Agricultural Engineers 7, 46-5, 55. Fiscenic, J.C., (996). "elocity an resistance in ensely vegetate flooways," P.D. iss., Colorao State University, University Press, Fort Collins, CO. 8 ERDC TN-EMRRP-SR-07
9 Lettau,. (969). "Aeroynamic rougness parameter on te basis of rougness element escription," J. of Applie Meteorology 8, Massman, W. (987). "A comparative stuy of some matematical moels of te mean win structure an aeroynamic rag of plant canopies," Bounary-layer meteorology 40, Meroney, R.N. (993). "Win-tunnel moelling of ill an vegetation influence on win power availability," Literature Review, CSU Report CER9-93-RNM-, Colorao State University, Fort Collins, CO. Otterman, J. (98). "Plane wit protrusions as an atmosperic bounary," J. Geopysics Researc, 86, Paescke, W. (937). "Experimentelle Untersucungen z. Ravikeits un stabilitats problem in er boennaen Luftscic," Beitr. Pys. D. fr. Atmos, 4, Prantl, L. (904). "Über Flüssigkeitsbewegung bei ser kleiner Reibung," eranlung III Internationler Matematisce Kongress, eielberg 904. Seginer, I. (974). "Aeroynamic rougness of vegetate surfaces," Bounary Layer Meteorology 5, Sellers, P.J., Mintz, Y., Su, Y.C., an Dalcer, A. (986). "A simple biospere moel (SiB) for use witin general circulation moels," Journal of Atmosperic Sciences 43(6), Stanill, G. (969). "A simple instrument for te fiel measurement of turbulent iffusion flux," J. Appl. Meteorology, 8, 509. ERDC TN-EMRRP-SR-07 9
SECTION 2.1 BASIC CALCULUS REVIEW
Tis capter covers just te very basics of wat you will nee moving forwar onto te subsequent capters. Tis is a summary capter, an will not cover te concepts in-ept. If you ve never seen calculus before,
More information0.1 Differentiation Rules
0.1 Differentiation Rules From our previous work we ve seen tat it can be quite a task to calculate te erivative of an arbitrary function. Just working wit a secon-orer polynomial tings get pretty complicate
More informationDifferential Calculus Definitions, Rules and Theorems
Precalculus Review Differential Calculus Definitions, Rules an Teorems Sara Brewer, Alabama Scool of Mat an Science Functions, Domain an Range f: X Y a function f from X to Y assigns to eac x X a unique
More information1 ode.mcd. Find solution to ODE dy/dx=f(x,y). Instructor: Nam Sun Wang
Fin solution to ODE /=f(). Instructor: Nam Sun Wang oe.mc Backgroun. Wen a sstem canges wit time or wit location, a set of ifferential equations tat contains erivative terms "/" escribe suc a namic sstem.
More informationContinuous measurements: partial selection
0 May 00 Pysics Letters A 97 00 300 306 wwwelseviercom/locate/pla Continuous measurements: partial selection YuA Rembovsky Department of Pysics, MV Lomonosov State University, Moscow 119899, Russia Receive
More informationf(x + h) f(x) f (x) = lim
Introuction 4.3 Some Very Basic Differentiation Formulas If a ifferentiable function f is quite simple, ten it is possible to fin f by using te efinition of erivative irectly: f () 0 f( + ) f() However,
More informationThermal conductivity of graded composites: Numerical simulations and an effective medium approximation
JOURNAL OF MATERIALS SCIENCE 34 (999)5497 5503 Thermal conuctivity of grae composites: Numerical simulations an an effective meium approximation P. M. HUI Department of Physics, The Chinese University
More informationThe effect of nonvertical shear on turbulence in a stably stratified medium
The effect of nonvertical shear on turbulence in a stably stratifie meium Frank G. Jacobitz an Sutanu Sarkar Citation: Physics of Fluis (1994-present) 10, 1158 (1998); oi: 10.1063/1.869640 View online:
More informationarxiv: v1 [math.na] 17 Jan 2019
arxiv:1901.0575v1 [mat.na 17 Jan 019 Teoretical an numerical stuies for energy estimates of te sallow water equations wit a transmission bounary conition M. Masum Murse 1,, Kouta Futai 1, Masato Kimura
More informationChapter Primer on Differentiation
Capter 0.01 Primer on Differentiation After reaing tis capter, you soul be able to: 1. unerstan te basics of ifferentiation,. relate te slopes of te secant line an tangent line to te erivative of a function,.
More informationAN INTRODUCTION TO AIRCRAFT WING FLUTTER Revision A
AN INTRODUCTION TO AIRCRAFT WIN FLUTTER Revision A By Tom Irvine Email: tomirvine@aol.com January 8, 000 Introuction Certain aircraft wings have experience violent oscillations uring high spee flight.
More informationRules of Differentiation
LECTURE 2 Rules of Differentiation At te en of Capter 2, we finally arrive at te following efinition of te erivative of a function f f x + f x x := x 0 oing so only after an extene iscussion as wat te
More informationThe Effects of Mutual Coupling and Transformer Connection Type on Frequency Response of Unbalanced Three Phase Electrical Distribution System
Energy an Power Engineering, 00,, 8-47 oi:0.46/epe.00.405 Publise Online November 00 (ttp://www.scirp.org/journal/epe) Te Effects of Mutual Coupling an Transformer Connection Type on Frequency Response
More informationWireless Communications
Wireless Communications Cannel Moeling Large Scale Hami Barami Electrical & Computer Engineering EM Spectrum Raio Wave l Raio wave: a form of electromagnetic raiation, create wenever a carge object accelerates
More informationTHE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE
Journal of Soun an Vibration (1996) 191(3), 397 414 THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE E. M. WEINSTEIN Galaxy Scientific Corporation, 2500 English Creek
More informationDifferential Calculus: Differentiation (First Principles, Rules) and Sketching Graphs (Grade 12) *
OpenStax-CNX moule: m39313 1 Differential Calculus: Differentiation (First Principles, Rules) an Sketcing Graps (Grae 12) * Free Hig Scool Science Texts Project Tis work is prouce by OpenStax-CNX an license
More informationA SIMPLE ENGINEERING MODEL FOR SPRINKLER SPRAY INTERACTION WITH FIRE PRODUCTS
International Journal on Engineering Performance-Base Fire Coes, Volume 4, Number 3, p.95-3, A SIMPLE ENGINEERING MOEL FOR SPRINKLER SPRAY INTERACTION WITH FIRE PROCTS V. Novozhilov School of Mechanical
More informationHy Ex Ez. Ez i+1/2,j+1. Ex i,j+1/2. γ z. Hy i+1/2,j+1/2. Ex i+1,j+1/2. Ez i+1/2,j
IEEE TRANSACTIONS ON, VOL. XX, NO. Y, MONTH 000 100 Moeling Dielectric Interfaces in te FDTD-Meto: A Comparative Stuy C. H. Teng, A. Ditkowski, J. S. Hestaven Abstract In tis paper, we present special
More informationFunctional Analysis Techniques as a Mathematical tools in Wavelets Analysis
Saer El-Sater, et. al., JOURNAL OF PHYSICS VOL. NO. Feb. (0) PP. 0-7 Functional Analysis Tecniques as a Matematical tools in Wavelets Analysis Saer El-sater, Ramaan Sale Tantawi an A. Abel-afiez Abstract
More informationAPPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France
APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation
More information30 is close to t 5 = 15.
Limits Definition 1 (Limit). If te values f(x) of a function f : A B get very close to a specific, unique number L wen x is very close to, but not necessarily equal to, a limit point c, we say te limit
More informationinflow outflow Part I. Regular tasks for MAE598/494 Task 1
MAE 494/598, Fall 2016 Project #1 (Regular tasks = 20 points) Har copy of report is ue at the start of class on the ue ate. The rules on collaboration will be release separately. Please always follow the
More informationDifferentiation Rules c 2002 Donald Kreider and Dwight Lahr
Dierentiation Rules c 00 Donal Kreier an Dwigt Lar Te Power Rule is an example o a ierentiation rule. For unctions o te orm x r, were r is a constant real number, we can simply write own te erivative rater
More informationIn Leibniz notation, we write this rule as follows. DERIVATIVE OF A CONSTANT FUNCTION. For n 4 we find the derivative of f x x 4 as follows: lim
.1 DERIVATIVES OF POLYNOIALS AND EXPONENTIAL FUNCTIONS c =c slope=0 0 FIGURE 1 Te grap of ƒ=c is te line =c, so fª()=0. In tis section we learn ow to ifferentiate constant functions, power functions, polnomials,
More informationThis section outlines the methodology used to calculate the wave load and wave wind load values.
COMPUTERS AND STRUCTURES, INC., JUNE 2014 AUTOMATIC WAVE LOADS TECHNICAL NOTE CALCULATION O WAVE LOAD VALUES This section outlines the methoology use to calculate the wave loa an wave win loa values. Overview
More informationField-Observation Analysis of Sea-Bottom Effects on Thermal Environments in a Coral Reef
iel-observation Analysis of Sea-Bottom Effects on Termal Environments in a Coral Reef Yasuo Niei 1, Kazuo Naaoka, Yasuo Tsunasima 1, Yasunori Aoki 1 an Kensui Wakaki 1 Department of Civil Engineering,
More informationSharif University of Technology. Scientia Iranica Transactions A: Civil Engineering
Scientia Iranica A (07) 4(), 584{596 Sarif University of Tecnology Scientia Iranica Transactions A: Civil Engineering www.scientiairanica.com Researc Note E ects of sear eformation on mecanical an termo-mecanical
More informationMAE 210A FINAL EXAM SOLUTIONS
1 MAE 21A FINAL EXAM OLUTION PROBLEM 1: Dimensional analysis of the foling of paper (2 points) (a) We wish to simplify the relation between the fol length l f an the other variables: The imensional matrix
More informationINTRODUCTION & PHASE SYSTEM
INTRODUCTION & PHASE SYSTEM Dr. Professor of Civil Engineering S. J. College of Engineering, Mysore 1.1 Geotechnical Engineering Why? 1. We are unable to buil castles in air (yet)! 2. Almost every structure
More informationPart 2: Introduction to Open-Channel Flow SPRING 2005
Part : Introduction to Open-Cannel Flow SPRING 005. Te Froude number. Total ead and specific energy 3. Hydraulic jump. Te Froude Number Te main caracteristics of flows in open cannels are tat: tere is
More informationComparison of Efflux Time between Cylindrical and Conical Tanks Through an Exit Pipe
International Journal of Applie Science an Enineerin 0. 9, : - Comparison of Efflux Time between Cylinrical an Conical Tanks Trou an Exit Pipe C. V. Subbarao * epartment of Cemical Enineerin,MVGR Collee
More informationThe Monte-Carlo simulation of of the surface light emitting diode (LED) operation. Slawomir Pufal and Wiodzimierz Wlodzimierz Nakwaski
Te Monte-Carlo simulation of of te surface ligt emitting ioe (LED) operation. Slawomir Pufal an Wiozimierz Wlozimierz Nakwaski Tecnical niversity of íóí, L6z, Institute of Pysics Wtflczarfska Wólczañska
More information1 Lecture 13: The derivative as a function.
1 Lecture 13: Te erivative as a function. 1.1 Outline Definition of te erivative as a function. efinitions of ifferentiability. Power rule, erivative te exponential function Derivative of a sum an a multiple
More informationEssays on Intra-Industry Trade
University of Tennessee, Knoxville Trace: Tennessee Researc an Creative Excange Doctoral Dissertations Grauate Scool 5-2005 Essays on Intra-Inustry Trae Yanong Zang University of Tennessee - Knoxville
More informationON THE HEIGHT OF MAXIMUM SPEED-UP IN ATMOSPHERIC BOUNDARY LAYERS OVER LOW HILLS
ON THE HEIGHT OF MAXIMUM SPEED-UP IN ATMOSPHERIC BOUNDARY LAYERS OVER LOW HILLS Cláudio C. Pellegrini FUNREI Departamento de Ciências Térmicas e dos Fluidos Praça Frei Orlando 17, São João del-rei, MG,
More informationV = Flow velocity, ft/sec
1 Drag Coefficient Preiction Chapter 1 The ieal force acting on a surface positione perpenicular to the airflow is equal to a ynamic pressure, enote by q, times the area of that surface. Dynamic pressure
More informationDerivatives. if such a limit exists. In this case when such a limit exists, we say that the function f is differentiable.
Derivatives 3. Derivatives Definition 3. Let f be a function an a < b be numbers. Te average rate of cange of f from a to b is f(b) f(a). b a Remark 3. Te average rate of cange of a function f from a to
More informationStability of equilibrium under constraints: Role of. second-order constrained derivatives
arxiv:78.694 Stability of equilibrium uner constraints: Role of secon-orer constraine erivatives amás Gál Department of eoretical Pysics University of Debrecen 4 Debrecen Hungary Email aress: galt@pys.unieb.u
More informationNumerical Investigation of Non-Stationary Parameters on Effective Phenomena of a Pitching Airfoil at Low Reynolds Number
Journal of Applie Flui Mechanics, Vol. 9, No. 2, pp. 643-651, 2016. Available online at www.jafmonline.net, ISSN 1735-3572, EISSN 1735-3645. Numerical Investigation of Non-Stationary Parameters on Effective
More informationNonholonomic Integrators
Nonolonomic Integrators J. Cortés an S. Martínez Laboratory of Dynamical Systems, Mecanics an Control, Instituto e Matemáticas y Física Funamental, CSIC, Serrano 13, 8006 Mari, SPAIN E-mail: j.cortes@imaff.cfmac.csic.es,
More informationDusty Plasma Void Dynamics in Unmoving and Moving Flows
7 TH EUROPEAN CONFERENCE FOR AERONAUTICS AND SPACE SCIENCES (EUCASS) Dusty Plasma Voi Dynamics in Unmoving an Moving Flows O.V. Kravchenko*, O.A. Azarova**, an T.A. Lapushkina*** *Scientific an Technological
More informationDerivatives of trigonometric functions
Derivatives of trigonometric functions 2 October 207 Introuction Toay we will ten iscuss te erivates of te si stanar trigonometric functions. Of tese, te most important are sine an cosine; te erivatives
More informationShift Theorem Involving the Exponential of a Sum of Non-Commuting Operators in Path Integrals. Abstract
YITP-SB-6-4 Sift Teorem Involving te Exponential of a Sum of Non-Commuting Operators in Pat Integrals Fre Cooper 1, an Gouranga C. Nayak 2, 1 Pysics Division, National Science Founation, Arlington VA 2223
More informationConvective heat transfer
CHAPTER VIII Convective heat transfer The previous two chapters on issipative fluis were evote to flows ominate either by viscous effects (Chap. VI) or by convective motion (Chap. VII). In either case,
More informationdoes NOT exist. WHAT IF THE NUMBER X APPROACHES CANNOT BE PLUGGED INTO F(X)??????
MATH 000 Miterm Review.3 Te it of a function f ( ) L Tis means tat in a given function, f(), as APPROACHES c, a constant, it will equal te value L. Tis is c only true if f( ) f( ) L. Tat means if te verticle
More informationMIXED FINITE ELEMENT FORMULATION AND ERROR ESTIMATES BASED ON PROPER ORTHOGONAL DECOMPOSITION FOR THE NON-STATIONARY NAVIER STOKES EQUATIONS*
MIXED FINITE ELEMENT FORMULATION AND ERROR ESTIMATES BASED ON PROPER ORTHOGONAL DECOMPOSITION FOR THE NON-STATIONARY NAVIER STOKES EQUATIONS* zenong luo, jing cen, an i. m. navon Abstract. In tis paper,
More informationPhyzExamples: Advanced Electrostatics
PyzExaples: Avance Electrostatics Pysical Quantities Sybols Units Brief Definitions Carge or Q coulob [KOO lo]: C A caracteristic of certain funaental particles. Eleentary Carge e 1.6 10 19 C Te uantity
More informationHOMEWORK HELP 2 FOR MATH 151
HOMEWORK HELP 2 FOR MATH 151 Here we go; te second round of omework elp. If tere are oters you would like to see, let me know! 2.4, 43 and 44 At wat points are te functions f(x) and g(x) = xf(x)continuous,
More informationTable of Common Derivatives By David Abraham
Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec
More information232 Calculus and Structures
3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE
More informationLogarithmic functions
Roberto s Notes on Differential Calculus Capter 5: Derivatives of transcendental functions Section Derivatives of Logaritmic functions Wat ou need to know alread: Definition of derivative and all basic
More informationarxiv: v1 [physics.flu-dyn] 8 May 2014
Energetics of a flui uner the Boussinesq approximation arxiv:1405.1921v1 [physics.flu-yn] 8 May 2014 Kiyoshi Maruyama Department of Earth an Ocean Sciences, National Defense Acaemy, Yokosuka, Kanagawa
More informationApplications of First Order Equations
Applications of First Orer Equations Viscous Friction Consier a small mass that has been roppe into a thin vertical tube of viscous flui lie oil. The mass falls, ue to the force of gravity, but falls more
More information160 Chapter 3: Differentiation
3. Differentiation Rules 159 3. Differentiation Rules Tis section introuces a few rules tat allow us to ifferentiate a great variety of functions. By proving tese rules ere, we can ifferentiate functions
More informationChapter-2. Steady Stokes flow around deformed sphere. class of oblate axi-symmetric bodies
hapter- Steay Stoes flow aroun eforme sphere. class of oblate axi-symmetric boies. General In physical an biological sciences, an in engineering, there is a wie range of problems of interest lie seimentation
More information6. Friction and viscosity in gasses
IR2 6. Friction an viscosity in gasses 6.1 Introuction Similar to fluis, also for laminar flowing gases Newtons s friction law hols true (see experiment IR1). Using Newton s law the viscosity of air uner
More informationkg m kg kg m =1 slope
(5) Win loa Wen structure blocks te flow of win, te win's kinetic energy is converte into otential energy of ressure, wic causes a win loaing. ensity an velocity of air te angle of incience of te win 3
More informationSources and Sinks of Available Potential Energy in a Moist Atmosphere. Olivier Pauluis 1. Courant Institute of Mathematical Sciences
Sources an Sinks of Available Potential Energy in a Moist Atmosphere Olivier Pauluis 1 Courant Institute of Mathematical Sciences New York University Submitte to the Journal of the Atmospheric Sciences
More information(a 1 m. a n m = < a 1/N n
Notes on a an log a Mat 9 Fall 2004 Here is an approac to te eponential an logaritmic functions wic avois any use of integral calculus We use witout proof te eistence of certain limits an assume tat certain
More informationθ x = f ( x,t) could be written as
9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)
More information106 PHYS - CH6 - Part2
106 PHYS - CH6 - Part Conservative Forces (a) A force is conservative if work one by tat force acting on a particle moving between points is inepenent of te pat te particle takes between te two points
More information1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point
MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note
More informationLecture 2 Lagrangian formulation of classical mechanics Mechanics
Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,
More informationIntroduction to the Vlasov-Poisson system
Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its
More informationAuctions, Matching and the Law of Aggregate Demand
Auctions, Matcing an te Law of Aggregate eman Jon William atfiel an Paul Milgrom 1 February 12, 2004 Abstract. We evelop a moel of matcing wit contracts wic incorporates, as special cases, te college amissions
More informationSimple Representations of Zero-Net Mass-Flux Jets in Grazing Flow for Flow-Control Simulations
Simple Representations of Zero-Net Mass-Flux ets in Grazing Flow for Flow-Control Simulations by Ehsan Aram, Rajat Mittal an Louis Cattafesta Reprinte from International ournal of Flow Control olume 2
More informationStable and compact finite difference schemes
Center for Turbulence Research Annual Research Briefs 2006 2 Stable an compact finite ifference schemes By K. Mattsson, M. Svär AND M. Shoeybi. Motivation an objectives Compact secon erivatives have long
More informationMoist Component Potential Vorticity
166 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 Moist Component Potential Vorticity R. MCTAGGART-COWAN, J.R.GYAKUM, AND M. K. YAU Department of Atmospheric an Oceanic Sciences, McGill University, Montreal,
More informationA simple model for the small-strain behaviour of soils
A simple moel for the small-strain behaviour of soils José Jorge Naer Department of Structural an Geotechnical ngineering, Polytechnic School, University of São Paulo 05508-900, São Paulo, Brazil, e-mail:
More informationChapter 6: Energy-Momentum Tensors
49 Chapter 6: Energy-Momentum Tensors This chapter outlines the general theory of energy an momentum conservation in terms of energy-momentum tensors, then applies these ieas to the case of Bohm's moel.
More informationClick here to see an animation of the derivative
Differentiation Massoud Malek Derivative Te concept of derivative is at te core of Calculus; It is a very powerful tool for understanding te beavior of matematical functions. It allows us to optimize functions,
More informationConservation Laws. Chapter Conservation of Energy
20 Chapter 3 Conservation Laws In orer to check the physical consistency of the above set of equations governing Maxwell-Lorentz electroynamics [(2.10) an (2.12) or (1.65) an (1.68)], we examine the action
More informationA 3D SEDIMENT TRANSPORT MODEL FOR COMBINED WAVE-CURRENT FLOWS
A 3D SEDIMENT TRANSPORT MODEL FOR COMBINED WAVE-CURRENT FLOWS Peifeng Ma 1 an Ole Secher Masen Accurate preiction of current velocity an bottom shear stress, which both can be significantly influence by
More informationTMA 4195 Matematisk modellering Exam Tuesday December 16, :00 13:00 Problems and solution with additional comments
Problem F U L W D g m 3 2 s 2 0 0 0 0 2 kg 0 0 0 0 0 0 Table : Dimension matrix TMA 495 Matematisk moellering Exam Tuesay December 6, 2008 09:00 3:00 Problems an solution with aitional comments The necessary
More informationImpurities in inelastic Maxwell models
Impurities in inelastic Maxwell moels Vicente Garzó Departamento e Física, Universia e Extremaura, E-671-Baajoz, Spain Abstract. Transport properties of impurities immerse in a granular gas unergoing homogenous
More informationA new identification method of the supply hole discharge coefficient of gas bearings
Tribology an Design 95 A new ientification metho of the supply hole ischarge coefficient of gas bearings G. Belforte, F. Colombo, T. Raparelli, A. Trivella & V. Viktorov Department of Mechanics, Politecnico
More information2.4 Exponential Functions and Derivatives (Sct of text)
2.4 Exponential Functions an Derivatives (Sct. 2.4 2.6 of text) 2.4. Exponential Functions Definition 2.4.. Let a>0 be a real number ifferent tan. Anexponential function as te form f(x) =a x. Teorem 2.4.2
More informationCHARACTERISTICS OF A DYNAMIC PRESSURE GENERATOR BASED ON LOUDSPEAKERS. Jože Kutin *, Ivan Bajsić
Sensors an Actuators A: Physical 168 (211) 149-154 oi: 1.116/j.sna.211..7 211 Elsevier B.V. CHARACTERISTICS OF A DYNAMIC PRESSURE GENERATOR BASED ON LOUDSPEAKERS Jože Kutin *, Ivan Bajsić Laboratory of
More informationSECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY
(Section 3.2: Derivative Functions and Differentiability) 3.2.1 SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY LEARNING OBJECTIVES Know, understand, and apply te Limit Definition of te Derivative
More informationInvestigating Euler s Method and Differential Equations to Approximate π. Lindsay Crowl August 2, 2001
Investigating Euler s Metod and Differential Equations to Approximate π Lindsa Crowl August 2, 2001 Tis researc paper focuses on finding a more efficient and accurate wa to approximate π. Suppose tat x
More informationMath 34A Practice Final Solutions Fall 2007
Mat 34A Practice Final Solutions Fall 007 Problem Find te derivatives of te following functions:. f(x) = 3x + e 3x. f(x) = x + x 3. f(x) = (x + a) 4. Is te function 3t 4t t 3 increasing or decreasing wen
More informationTo understand how scrubbers work, we must first define some terms.
SRUBBERS FOR PARTIE OETION Backgroun To unerstan how scrubbers work, we must first efine some terms. Single roplet efficiency, η, is similar to single fiber efficiency. It is the fraction of particles
More informationMVT and Rolle s Theorem
AP Calculus CHAPTER 4 WORKSHEET APPLICATIONS OF DIFFERENTIATION MVT and Rolle s Teorem Name Seat # Date UNLESS INDICATED, DO NOT USE YOUR CALCULATOR FOR ANY OF THESE QUESTIONS In problems 1 and, state
More informationCombining functions: algebraic methods
Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)
More informationApplication of the homotopy perturbation method to a magneto-elastico-viscous fluid along a semi-infinite plate
Freun Publishing House Lt., International Journal of Nonlinear Sciences & Numerical Simulation, (9), -, 9 Application of the homotopy perturbation metho to a magneto-elastico-viscous flui along a semi-infinite
More informationINTRODUCTION AND MATHEMATICAL CONCEPTS
Capter 1 INTRODUCTION ND MTHEMTICL CONCEPTS PREVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips
More informationFundamental Laws of Motion for Particles, Material Volumes, and Control Volumes
Funamental Laws of Motion for Particles, Material Volumes, an Control Volumes Ain A. Sonin Department of Mechanical Engineering Massachusetts Institute of Technology Cambrige, MA 02139, USA August 2001
More informationA = h w (1) Error Analysis Physics 141
Introduction In all brances of pysical science and engineering one deals constantly wit numbers wic results more or less directly from experimental observations. Experimental observations always ave inaccuracies.
More informationThe Principle of Least Action
Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of
More informationMath 242: Principles of Analysis Fall 2016 Homework 7 Part B Solutions
Mat 22: Principles of Analysis Fall 206 Homework 7 Part B Solutions. Sow tat f(x) = x 2 is not uniformly continuous on R. Solution. Te equation is equivalent to f(x) = 0 were f(x) = x 2 sin(x) 3. Since
More informationON THE OPTIMALITY SYSTEM FOR A 1 D EULER FLOW PROBLEM
ON THE OPTIMALITY SYSTEM FOR A D EULER FLOW PROBLEM Eugene M. Cliff Matthias Heinkenschloss y Ajit R. Shenoy z Interisciplinary Center for Applie Mathematics Virginia Tech Blacksburg, Virginia 46 Abstract
More informationAnalytical Modelling of Pulse Transformers for Power Modulators
nalytical oelling of Pulse Transformers for Power oulators J. Biela,. Bortis, J.. Kolar Power Electronic Systems Laboratory (PES, ETH Zuric, Switzerlan E-ail: biela@lem.ee.etz.c / Homepage: www.pes.ee.etz.c
More informationDistribution of reynolds shear stress in steady and unsteady flows
University of Wollongong Researc Online Faculty of Engineering and Information Sciences - Papers: Part A Faculty of Engineering and Information Sciences 13 Distribution of reynolds sear stress in steady
More informationReynolds number effects in stratified turbulent wakes
Abstract Reynolds number effects in stratified turbulent wakes Qi Zou 1 and Peter Diamessis 2 1 Department of Applied Matematics and Teoretical Pysics, University of Cambridge 2 Scool of Civil and Environmental
More informationP1D.6 IMPACTS OF THE OCEAN SURFACE VELOCITY ON WIND STRESS COEFFICIENT AND WIND STRESS OVER GLOBAL OCEAN DURING
P1D.6 IMPATS OF THE OEAN SURFAE VELOITY ON WIND STRESS OEFFIIENT AND WIND STRESS OVER GLOBAL OEAN DURING 1958-001 Zengan Deng 1* Lian Xie Ting Yu 1 an Kejian Wu 1 1. Physical Oceanography Laboratory, Ocean
More informationOn the Ehrenfest theorem of quantum mechanics
On te Erenfest teorem of quantum mecanics Gero Friesecke an Mario Koppen arxiv:0907.877v [mat-p] 0 Jul 2009 Marc 28, 2009 Abstract We give a matematically rigorous erivation of Erenfest s equations for
More informationContinuity and Differentiability Worksheet
Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;
More informationSchrödinger s equation.
Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of
More informationarxiv: v1 [math.na] 18 Nov 2011
MIMETIC FRAMEWORK ON CURVILINEAR QUADRILATERALS OF ARBITRARY ORDER JASPER KREEFT, ARTUR PALHA, AND MARC GERRITSMA arxiv:1111.4304v1 [mat.na] 18 Nov 2011 Abstract. In tis paper iger orer mimetic iscretizations
More informationSection 2.7 Derivatives of powers of functions
Section 2.7 Derivatives of powers of functions (3/19/08) Overview: In this section we iscuss the Chain Rule formula for the erivatives of composite functions that are forme by taking powers of other functions.
More information