RIVER & STREAMS HYDRAULICS

Size: px
Start display at page:

Download "RIVER & STREAMS HYDRAULICS"

Transcription

1 RIVER & STREAMS HYRAULICS Benoit Csman-Roisin artmot College River flow is 3 and nsteady (trblent). Bt: lengt of river >> widt & dept As a reslt, te downstream velocity, aligned wit te cannel, dominates te flow. Te 1 assmption may be made, wit (x,t) = water dept (x,t) = water velocity wit x = downstream distance and t = time. 1

2 Te presence of two flow variables [(x,t) and (x,t)] necessitates two pysical statements. Tese are: 1. Conservation of mass (wat goes in, goes ot). Momentm bdget (wit 3 forces: pressre, gravity and friction) Additional assmption: incompressibility density = constant = 1 kg/m 3 (freswater) Bdget for a stretc dx of river A = Area W = Widt = max dept P = Wetted perimeter S = Slope = sin

3 Conservation of mass: Amont stored in stretc dx = wat goes in wat goes ot. Adx t dt t A x A xdx dx, dt Ten constant t A A A t x x A were A() is a known fnction of te water dept (cannel profile given) Tis eqation is attribted to Leonardo da Vinci ( ). Case of a rectanglar cannel wit constant widt: A = W, wit W = constant P = + W + A t x t x A 3

4 Momentm Bdget: d dt Momentm inside stretc Momentm entering at x Momentm exiting at x dx Psing pressre force in rear Braking pressre force aead ownslope gravitational force Braking frictional force along bottom Pressre force F p pda p( w( dz p( ydrostatic (gage) pressre g( w( cannel widt at level z ( z ) F p g( w( dz dfp [ g( w( ] z d g w( dz ga gw( dz For later: F p x dfp d ga x x 4

5 Gravitational force ( mg)sin ( Adx) gs gasdx Frictional force bottom stress bottom area ( Pdx) ( C wit bottom stress C b and P wetted perimeter b ) Pdx Ptting it altogeter: [ Adx] at tdt [ Adx] dt at t A at x F p at x gasdx A C P dx F at xdx p at xdx Momentm in and ot Pressre force, rear and front ownslope gravity Bottom friction or, in differential form: t x F p A A gas C P x and after some simplifications and se of volme conservation: inertia g gs C t x x gravity P A friction 5

6 For convenience, we define te ydralic radis: A cross - sectional area R P wetted perimeter so tat te momentm eqation becomes: g gs C t x x For a broad flat cannel, wic is a good approximation for most rivers: R W W R W W g gs C t x x Tis eqation is attribted to Ademar de Saint-Venant ( ). Togeter, tis momentm eqation and te mass-conservation eqation form a x nonlinear system for te flow variables and. 1. Uniform frictional flow: and t x Only te momentm eqation remains and it becomes: gs C gs C Te balance is between te forward force of gravity and te retarding force of bottom friction. Te formla is de to Antoine de Cezy ( ). Te Cezy formla specifies one relation between te velocity and te water dept. How can tese qantities be determined separately? 6

7 Answer: We need to know te volmetric flow (discarge) of te river! Wen Q A W CQ gsw gsq CW is given, ten Note tat bot water dept and velocity increase wit te discarge. Tis explains wy te water level rises and te crrent increases simltaneosly wen te river discarge rises. Note: As te discarge increases, te water dept ( Q /3 ) increases faster tan te velocity ( Q 1/3 ). Manning s formla River data sow tat te drag coefficient C is not a constant bt depends on dept. If we se te logaritmic velocity profile of wall trblence, we obtain: and te Cezy formla becomes C [ln( / z ) 1] gs gs ln 1 C z Using abndant data, Robert Manning ( ) determined tat a power of was adeqate, wit te /3 power giving te best fit, and e wrote: 1 R n /3 S 1/ in wic te coefficient n is now called te Manning Coefficient. Note tat tis expression is not dimensionally correct. So, care mst be taken to se metric nits. 7

8 Examples of Manning Coefficients: Smoot cement canal n =.1 Clark Fork at St. Regis, Montana n =.8 Clark Fork above Missola, Montana n =.3 Middle Fork Flatead River near Essex, Montana n =.41 Sot Fork Clearwater River near Grangeville, Idao n =.51 Rock Creek near arby, Montana n =.75 ttp://wwwrcamnl.wr.sgs.gov/sws/fieldmetods/indirects/nvales/index.tm Nmerical vales of te Manning Coefficient: CHANNEL TYPE n Artificial cannels finised cement.1 nfinised cement.14 brick work.15 rbble masonry.5 smoot dirt. gravel.5 wit weeds.3 cobbles.35 Natral cannels montain streams.45 clean and straigt.3 clean and winding.4 wit weeds and stones.45 most rivers.35 wit deep pools.4 irreglar sides.45 dense side growt.8 Flood plains farmland.35 small brses.15 wit trees.15 8

9 Te enigma of Roman water engineers Roman engineers ad no conception of time at te scale of te minte and second. So, tey ad no concept of water velocity and dealt only wit water depts. Segovia, Spain So, ow were tey able to bild properly designed aqedcts and sewage draining passages? Answer: Te Romans were lcky becase velocity is directly related to water dept, and water dept cold ten be sed as te only variable. It also elped tat water dept appens to be te more sensitive fnction of discarge among te two variables. 9

10 A nice exercise: Sbject te Cezy soltion to small, time-dependent flctations, to find tat it is stable only as long as Fr S 4 C If tis condition is not met, waves grow to finite amplitde. Tese are so-called roll waves. Steady frictionless flow: Now, take (steadiness) and C (no friction) t Te pair of governing eqations become: Mass : Momentm : If we define te bottom elevation b( x) above a reference datm (sea level) ten d dx ( ) db S dx d d g gs dx dx Q constant W and te momentm eqation can be cast as : d g gb dx 1

11 Terefore, te expression B g gb is conserved along te flow. Tis is relation is de to aniel Bernolli (17-178), and is known as te Bernolli principle. Te essence of te Bernolli principle is conservation of energy : kinetic energy, g( b ) potential energy. 11

Turbulence in Fluids. Shear Turbulence. Benoit Cushman-Roisin Thayer School of Engineering Dartmouth College

Turbulence in Fluids. Shear Turbulence. Benoit Cushman-Roisin Thayer School of Engineering Dartmouth College Trlence in Flids Sear Trlence Benoit Csman-Roisin Tayer Scool of Engineering Dartmot College Uiqity of sear Trlence Water speed across cannels and wind speeds over te eart s srface exiit a variation of

More information

5. The Bernoulli Equation

5. The Bernoulli Equation 5. The Bernolli Eqation [This material relates predominantly to modles ELP034, ELP035] 5. Work and Energy 5. Bernolli s Eqation 5.3 An example of the se of Bernolli s eqation 5.4 Pressre head, velocity

More information

Calculus I Homework: The Derivative as a Function Page 1

Calculus I Homework: The Derivative as a Function Page 1 Calculus I Homework: Te Derivative as a Function Page 1 Example (2.9.16) Make a careful sketc of te grap of f(x) = sin x and below it sketc te grap of f (x). Try to guess te formula of f (x) from its grap.

More information

Lab 6 Derivatives and Mutant Bacteria

Lab 6 Derivatives and Mutant Bacteria Lab 6 Derivatives and Mutant Bacteria Date: September 27, 20 Assignment Due Date: October 4, 20 Goal: In tis lab you will furter explore te concept of a derivative using R. You will use your knowledge

More information

Continuity and Differentiability Worksheet

Continuity 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 information

Section 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is

Section 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is Mat 180 www.timetodare.com Section.7 Derivatives and Rates of Cange Part II Section.8 Te Derivative as a Function Derivatives ( ) In te previous section we defined te slope of te tangent to a curve wit

More information

Section 15.6 Directional Derivatives and the Gradient Vector

Section 15.6 Directional Derivatives and the Gradient Vector Section 15.6 Directional Derivatives and te Gradient Vector Finding rates of cange in different directions Recall tat wen we first started considering derivatives of functions of more tan one variable,

More information

1 Power is transferred through a machine as shown. power input P I machine. power output P O. power loss P L. What is the efficiency of the machine?

1 Power is transferred through a machine as shown. power input P I machine. power output P O. power loss P L. What is the efficiency of the machine? 1 1 Power is transferred troug a macine as sown. power input P I macine power output P O power loss P L Wat is te efficiency of te macine? P I P L P P P O + P L I O P L P O P I 2 ir in a bicycle pump is

More information

Math 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006

Math 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 Mat 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 f(x+) f(x) 10 1. For f(x) = x 2 + 2x 5, find ))))))))) and simplify completely. NOTE: **f(x+) is NOT f(x)+! f(x+) f(x) (x+) 2 + 2(x+) 5 ( x 2

More information

Recall from our discussion of continuity in lecture a function is continuous at a point x = a if and only if

Recall from our discussion of continuity in lecture a function is continuous at a point x = a if and only if Computational Aspects of its. Keeping te simple simple. Recall by elementary functions we mean :Polynomials (including linear and quadratic equations) Eponentials Logaritms Trig Functions Rational Functions

More information

Part 2: Introduction to Open-Channel Flow SPRING 2005

Part 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 information

Simulation and verification of a plate heat exchanger with a built-in tap water accumulator

Simulation and verification of a plate heat exchanger with a built-in tap water accumulator Simulation and verification of a plate eat excanger wit a built-in tap water accumulator Anders Eriksson Abstract In order to test and verify a compact brazed eat excanger (CBE wit a built-in accumulation

More information

1 2 x Solution. The function f x is only defined when x 0, so we will assume that x 0 for the remainder of the solution. f x. f x h f x.

1 2 x Solution. The function f x is only defined when x 0, so we will assume that x 0 for the remainder of the solution. f x. f x h f x. Problem. Let f x x. Using te definition of te derivative prove tat f x x Solution. Te function f x is only defined wen x 0, so we will assume tat x 0 for te remainder of te solution. By te definition of

More information

6. Non-uniform bending

6. Non-uniform bending . Non-uniform bending Introduction Definition A non-uniform bending is te case were te cross-section is not only bent but also seared. It is known from te statics tat in suc a case, te bending moment in

More information

= h. Geometrically this quantity represents the slope of the secant line connecting the points

= h. Geometrically this quantity represents the slope of the secant line connecting the points Section 3.7: Rates of Cange in te Natural and Social Sciences Recall: Average rate of cange: y y y ) ) ), ere Geometrically tis quantity represents te slope of te secant line connecting te points, f (

More information

ADCP MEASUREMENTS OF VERTICAL FLOW STRUCTURE AND COEFFICIENTS OF FLOAT IN FLOOD FLOWS

ADCP MEASUREMENTS OF VERTICAL FLOW STRUCTURE AND COEFFICIENTS OF FLOAT IN FLOOD FLOWS ADCP MEASUREMENTS OF VERTICAL FLOW STRUCTURE AND COEFFICIENTS OF FLOAT IN FLOOD FLOWS Yasuo NIHEI (1) and Takeiro SAKAI (2) (1) Department of Civil Engineering, Tokyo University of Science, 2641 Yamazaki,

More information

Physics 121, April 1, Equilibrium. Physics 121. April 1, Physics 121. April 1, Course Information. Discussion of Exam # 2

Physics 121, April 1, Equilibrium. Physics 121. April 1, Physics 121. April 1, Course Information. Discussion of Exam # 2 Pysics 121, April 1, 2008. Pysics 121. April 1, 2008. Course Information Discussion of Exam # 2 Topics to be discussed today: Requirements for Equilibrium Gravitational Equilibrium Sample problems Pysics

More information

158 Calculus and Structures

158 Calculus and Structures 58 Calculus and Structures CHAPTER PROPERTIES OF DERIVATIVES AND DIFFERENTIATION BY THE EASY WAY. Calculus and Structures 59 Copyrigt Capter PROPERTIES OF DERIVATIVES. INTRODUCTION In te last capter you

More information

EDEXCEL NATIONAL CERTIFICATE/DIPLOMA. PRINCIPLES AND APPLICATIONS of FLUID MECHANICS UNIT 13 NQF LEVEL 3 OUTCOME 3 - HYDRODYNAMICS

EDEXCEL NATIONAL CERTIFICATE/DIPLOMA. PRINCIPLES AND APPLICATIONS of FLUID MECHANICS UNIT 13 NQF LEVEL 3 OUTCOME 3 - HYDRODYNAMICS EDEXCEL NATIONAL CERTIFICATE/DIPLOMA PRINCIPLES AND APPLICATIONS of FLUID MECHANICS UNIT 3 NQF LEVEL 3 OUTCOME 3 - HYDRODYNAMICS TUTORIAL - PIPE FLOW CONTENT Be able to determine the parameters of pipeline

More information

Exam in Fluid Mechanics SG2214

Exam in Fluid Mechanics SG2214 Exam in Fluid Mecanics G2214 Final exam for te course G2214 23/10 2008 Examiner: Anders Dalkild Te point value of eac question is given in parentesis and you need more tan 20 points to pass te course including

More information

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed. Preface Here are my online notes for my course tat I teac ere at Lamar University. Despite te fact tat tese are my class notes, tey sould be accessible to anyone wanting to learn or needing a refreser

More information

232 Calculus and Structures

232 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 information

2.8 The Derivative as a Function

2.8 The Derivative as a Function .8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open

More information

Chapters 19 & 20 Heat and the First Law of Thermodynamics

Chapters 19 & 20 Heat and the First Law of Thermodynamics Capters 19 & 20 Heat and te First Law of Termodynamics Te Zerot Law of Termodynamics Te First Law of Termodynamics Termal Processes Te Second Law of Termodynamics Heat Engines and te Carnot Cycle Refrigerators,

More information

1. State whether the function is an exponential growth or exponential decay, and describe its end behaviour using limits.

1. State whether the function is an exponential growth or exponential decay, and describe its end behaviour using limits. Questions 1. State weter te function is an exponential growt or exponential decay, and describe its end beaviour using its. (a) f(x) = 3 2x (b) f(x) = 0.5 x (c) f(x) = e (d) f(x) = ( ) x 1 4 2. Matc te

More information

1.5 Functions and Their Rates of Change

1.5 Functions and Their Rates of Change 66_cpp-75.qd /6/8 4:8 PM Page 56 56 CHAPTER Introduction to Functions and Graps.5 Functions and Teir Rates of Cange Identif were a function is increasing or decreasing Use interval notation Use and interpret

More information

2.3. Applying Newton s Laws of Motion. Objects in Equilibrium

2.3. Applying Newton s Laws of Motion. Objects in Equilibrium Appling Newton s Laws of Motion As ou read in Section 2.2, Newton s laws of motion describe ow objects move as a result of different forces. In tis section, ou will appl Newton s laws to objects subjected

More information

Math 4A03: Practice problems on Multivariable Calculus

Math 4A03: Practice problems on Multivariable Calculus Mat 4A0: Practice problems on Mltiariable Calcls Problem Consider te mapping f, ) : R R defined by fx, y) e y + x, e x y) x, y) R a) Is it possible to express x, y) as a differentiable fnction of, ) near

More information

Homework 1. Problem 1 Browse the 331 website to answer: When you should use data symbols on a graph. (Hint check out lab reports...

Homework 1. Problem 1 Browse the 331 website to answer: When you should use data symbols on a graph. (Hint check out lab reports... Homework 1 Problem 1 Browse te 331 website to answer: Wen you sould use data symbols on a grap. (Hint ceck out lab reports...) Solution 1 Use data symbols to sow data points unless tere is so muc data

More information

Hydraulic Evaluation of Discharge Over Rock Closing Dams on the Upper Mississippi River

Hydraulic Evaluation of Discharge Over Rock Closing Dams on the Upper Mississippi River ydraulic Evaluation of Discarge Over Rock Closing Dams on te Upper Mississippi River Jon endrickson, P.E. Senior ydraulic Engineer, St Paul District Introduction Prototype data was used for calibrating

More information

1.061 / 1.61 Transport Processes in the Environment

1.061 / 1.61 Transport Processes in the Environment MIT OpenCorseWare http://ocw.mit.ed 1.061 / 1.61 Transport Processes in the Environment Fall 008 For information abot citing these materials or or Terms of Use, visit: http://ocw.mit.ed/terms. Answer 8.1

More information

Practice Problem Solutions: Exam 1

Practice Problem Solutions: Exam 1 Practice Problem Solutions: Exam 1 1. (a) Algebraic Solution: Te largest term in te numerator is 3x 2, wile te largest term in te denominator is 5x 2 3x 2 + 5. Tus lim x 5x 2 2x 3x 2 x 5x 2 = 3 5 Numerical

More information

UNIT V BOUNDARY LAYER INTRODUCTION

UNIT V BOUNDARY LAYER INTRODUCTION UNIT V BOUNDARY LAYER INTRODUCTION The variation of velocity from zero to free-stream velocity in the direction normal to the bondary takes place in a narrow region in the vicinity of solid bondary. This

More information

1 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

1 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 information

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator.

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator. Lecture XVII Abstract We introduce te concept of directional derivative of a scalar function and discuss its relation wit te gradient operator. Directional derivative and gradient Te directional derivative

More information

Higher Derivatives. Differentiable Functions

Higher Derivatives. Differentiable Functions Calculus 1 Lia Vas Higer Derivatives. Differentiable Functions Te second derivative. Te derivative itself can be considered as a function. Te instantaneous rate of cange of tis function is te second derivative.

More information

A = h w (1) Error Analysis Physics 141

A = 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 information

Phy 231 Sp 02 Homework #6 Page 1 of 4

Phy 231 Sp 02 Homework #6 Page 1 of 4 Py 231 Sp 02 Homework #6 Page 1 of 4 6-1A. Te force sown in te force-time diagram at te rigt versus time acts on a 2 kg mass. Wat is te impulse of te force on te mass from 0 to 5 sec? (a) 9 N-s (b) 6 N-s

More information

AMS 147 Computational Methods and Applications Lecture 09 Copyright by Hongyun Wang, UCSC. Exact value. Effect of round-off error.

AMS 147 Computational Methods and Applications Lecture 09 Copyright by Hongyun Wang, UCSC. Exact value. Effect of round-off error. Lecture 09 Copyrigt by Hongyun Wang, UCSC Recap: Te total error in numerical differentiation fl( f ( x + fl( f ( x E T ( = f ( x Numerical result from a computer Exact value = e + f x+ Discretization error

More information

7.1 Using Antiderivatives to find Area

7.1 Using Antiderivatives to find Area 7.1 Using Antiderivatives to find Area Introduction finding te area under te grap of a nonnegative, continuous function f In tis section a formula is obtained for finding te area of te region bounded between

More information

STATIC, STAGNATION, AND DYNAMIC PRESSURES

STATIC, STAGNATION, AND DYNAMIC PRESSURES STATIC, STAGNATION, AND DYNAMIC PRESSURES Bernolli eqation is g constant In this eqation is called static ressre, becase it is the ressre that wold be measred by an instrment that is static with resect

More information

Turbulence and boundary layers

Turbulence and boundary layers Trblence and bondary layers Weather and trblence Big whorls hae little whorls which feed on the elocity; and little whorls hae lesser whorls and so on to iscosity Lewis Fry Richardson Momentm eqations

More information

Finite Volume Methods for Conservation laws

Finite Volume Methods for Conservation laws MATH-459 Nmerical Metods for Conservation Laws by Prof. Jan S. Hestaven Soltion proposal to Project : Finite Volme Metods for Conservation laws Qestion. (a) See Matlab/Octave code attaced. (b) Large amont

More information

MAT 1339-S14 Class 2

MAT 1339-S14 Class 2 MAT 1339-S14 Class 2 July 07, 2014 Contents 1 Rate of Cange 1 1.5 Introduction to Derivatives....................... 1 2 Derivatives 5 2.1 Derivative of Polynomial function.................... 5 2.2 Te

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL IFFERENTIATION FIRST ERIVATIVES Te simplest difference formulas are based on using a straigt line to interpolate te given data; tey use two data pints to estimate te derivative. We assume tat

More information

3. Gradually-Varied Flow

3. Gradually-Varied Flow 5/6/18 3. Gradually-aried Flow Normal Flow vs Gradually-aried Flow Normal Flow /g EGL (energy grade line) iction slope Geometric slope S Normal flow: Downslope component of weigt balances bed friction

More information

Research Article Some New Parallel Flows in Weakly Conducting Fluids with an Exponentially Decaying Lorentz Force

Research Article Some New Parallel Flows in Weakly Conducting Fluids with an Exponentially Decaying Lorentz Force Hindawi Pblising Corporation Matematical Problems in Engineering Volme 2007, Article ID 8784, 4 pages doi:0.55/2007/8784 Researc Article Some New Parallel Flows in Weakly Condcting Flids wit an Exponentially

More information

Function Composition and Chain Rules

Function Composition and Chain Rules Function Composition and s James K. Peterson Department of Biological Sciences and Department of Matematical Sciences Clemson University Marc 8, 2017 Outline 1 Function Composition and Continuity 2 Function

More information

Order of Accuracy. ũ h u Ch p, (1)

Order of Accuracy. ũ h u Ch p, (1) Order of Accuracy 1 Terminology We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, wic can be for instance te grid size or time step in a numerical

More information

Numerical Differentiation

Numerical Differentiation Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function

More information

Prandl established a universal velocity profile for flow parallel to the bed given by

Prandl established a universal velocity profile for flow parallel to the bed given by EM 0--00 (Part VI) (g) The nderlayers shold be at least three thicknesses of the W 50 stone, bt never less than 0.3 m (Ahrens 98b). The thickness can be calclated sing Eqation VI-5-9 with a coefficient

More information

4.2 - Richardson Extrapolation

4.2 - Richardson Extrapolation . - Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Definition Let x n n converge to a number x. Suppose tat n n is a sequence

More information

Chapter 6 Momentum Transfer in an External Laminar Boundary Layer

Chapter 6 Momentum Transfer in an External Laminar Boundary Layer 6. Similarit Soltions Chapter 6 Momentm Transfer in an Eternal Laminar Bondar Laer Consider a laminar incompressible bondar laer with constant properties. Assme the flow is stead and two-dimensional aligned

More information

Average Rate of Change

Average Rate of Change Te Derivative Tis can be tougt of as an attempt to draw a parallel (pysically and metaporically) between a line and a curve, applying te concept of slope to someting tat isn't actually straigt. Te slope

More information

Exam 1 Review Solutions

Exam 1 Review Solutions Exam Review Solutions Please also review te old quizzes, and be sure tat you understand te omework problems. General notes: () Always give an algebraic reason for your answer (graps are not sufficient),

More information

Time (hours) Morphine sulfate (mg)

Time (hours) Morphine sulfate (mg) Mat Xa Fall 2002 Review Notes Limits and Definition of Derivative Important Information: 1 According to te most recent information from te Registrar, te Xa final exam will be eld from 9:15 am to 12:15

More information

f a h f a h h lim lim

f a h f a h h lim lim Te Derivative Te derivative of a function f at a (denoted f a) is f a if tis it exists. An alternative way of defining f a is f a x a fa fa fx fa x a Note tat te tangent line to te grap of f at te point

More information

E p = mgh (if h i=0) E k = ½ mv 2 Ek is measured in Joules (J); m is measured in kg; v is measured in m/s. Energy Continued (E)

E p = mgh (if h i=0) E k = ½ mv 2 Ek is measured in Joules (J); m is measured in kg; v is measured in m/s. Energy Continued (E) nergy Continued () Gravitational Potential nergy: - e energy stored in an object due to its distance above te surface of te art. - e energy stored depends on te mass of te object, te eigt above te surface,

More information

1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t).

1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t). . Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd, periodic function tat as been sifted upwards, so we will use

More information

NOTES ON OPEN CHANNEL FLOW

NOTES ON OPEN CHANNEL FLOW NOTES ON OPEN CANNEL FLOW Prof. Marco Pilotti Facoltà di Ingegneria, Università degli Studi di Brescia Profili di moto permanente in un canale e in una serie di due canali - Boudine, 86 OPEN CANNEL FLOW:

More information

(4.2) -Richardson Extrapolation

(4.2) -Richardson Extrapolation (.) -Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Suppose tat lim G 0 and lim F L. Te function F is said to converge to L as

More information

1 + t5 dt with respect to x. du = 2. dg du = f(u). du dx. dg dx = dg. du du. dg du. dx = 4x3. - page 1 -

1 + t5 dt with respect to x. du = 2. dg du = f(u). du dx. dg dx = dg. du du. dg du. dx = 4x3. - page 1 - Eercise. Find te derivative of g( 3 + t5 dt wit respect to. Solution: Te integrand is f(t + t 5. By FTC, f( + 5. Eercise. Find te derivative of e t2 dt wit respect to. Solution: Te integrand is f(t e t2.

More information

Section 3.1: Derivatives of Polynomials and Exponential Functions

Section 3.1: Derivatives of Polynomials and Exponential Functions Section 3.1: Derivatives of Polynomials and Exponential Functions In previous sections we developed te concept of te derivative and derivative function. Te only issue wit our definition owever is tat it

More information

Finding and Using Derivative The shortcuts

Finding and Using Derivative The shortcuts Calculus 1 Lia Vas Finding and Using Derivative Te sortcuts We ave seen tat te formula f f(x+) f(x) (x) = lim 0 is manageable for relatively simple functions like a linear or quadratic. For more complex

More information

Velocity distribution in non-uniform/unsteady flows and the validity of log law

Velocity distribution in non-uniform/unsteady flows and the validity of log law University of Wollongong Researc Online Faculty of Engineering and Information Sciences - Papers: Part A Faculty of Engineering and Information Sciences 3 Velocity distribution in non-uniform/unsteady

More information

Open Channel Hydraulic

Open Channel Hydraulic Open Cannel Hydraulic Julien Caucat Associate Professor - Grenoble INP / ENSE3 - LEGI UMR 5519 julien.caucat@grenoble-inp.fr Winter session - 2015/2016 julien.caucat@grenoble-inp.fr Open Cannel Hydraulic

More information

5. (a) Find the slope of the tangent line to the parabola y = x + 2x

5. (a) Find the slope of the tangent line to the parabola y = x + 2x MATH 141 090 Homework Solutions Fall 00 Section.6: Pages 148 150 3. Consider te slope of te given curve at eac of te five points sown (see text for figure). List tese five slopes in decreasing order and

More information

Some Review Problems for First Midterm Mathematics 1300, Calculus 1

Some Review Problems for First Midterm Mathematics 1300, Calculus 1 Some Review Problems for First Midterm Matematics 00, Calculus. Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd,

More information

HOMEWORK HELP 2 FOR MATH 151

HOMEWORK 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 information

MVT and Rolle s Theorem

MVT 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 information

Derivatives of Exponentials

Derivatives of Exponentials mat 0 more on derivatives: day 0 Derivatives of Eponentials Recall tat DEFINITION... An eponential function as te form f () =a, were te base is a real number a > 0. Te domain of an eponential function

More information

Click here to see an animation of the derivative

Click 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 information

ρ u = u. (1) w z will become certain time, and at a certain point in space, the value of

ρ u = u. (1) w z will become certain time, and at a certain point in space, the value of THE CONDITIONS NECESSARY FOR DISCONTINUOUS MOTION IN GASES G I Taylor Proceedings of the Royal Society A vol LXXXIV (90) pp 37-377 The possibility of the propagation of a srface of discontinity in a gas

More information

THE IDEA OF DIFFERENTIABILITY FOR FUNCTIONS OF SEVERAL VARIABLES Math 225

THE IDEA OF DIFFERENTIABILITY FOR FUNCTIONS OF SEVERAL VARIABLES Math 225 THE IDEA OF DIFFERENTIABILITY FOR FUNCTIONS OF SEVERAL VARIABLES Mat 225 As we ave seen, te definition of derivative for a Mat 111 function g : R R and for acurveγ : R E n are te same, except for interpretation:

More information

UNIVERSITY OF SASKATCHEWAN Department of Physics and Engineering Physics

UNIVERSITY OF SASKATCHEWAN Department of Physics and Engineering Physics UNIVERSITY O SASKATCHEWAN Department of Pysics and Engineering Pysics Pysics 117.3 MIDTERM EXAM Regular Sitting NAME: (Last) Please Print (Given) Time: 90 minutes STUDENT NO.: LECTURE SECTION (please ceck):

More information

Section 3: The Derivative Definition of the Derivative

Section 3: The Derivative Definition of the Derivative Capter 2 Te Derivative Business Calculus 85 Section 3: Te Derivative Definition of te Derivative Returning to te tangent slope problem from te first section, let's look at te problem of finding te slope

More information

University of Alabama Department of Physics and Astronomy PH 101 LeClair Summer Exam 1 Solutions

University of Alabama Department of Physics and Astronomy PH 101 LeClair Summer Exam 1 Solutions University of Alabama Department of Pysics and Astronomy PH 101 LeClair Summer 2011 Exam 1 Solutions 1. A motorcycle is following a car tat is traveling at constant speed on a straigt igway. Initially,

More information

MAT244 - Ordinary Di erential Equations - Summer 2016 Assignment 2 Due: July 20, 2016

MAT244 - Ordinary Di erential Equations - Summer 2016 Assignment 2 Due: July 20, 2016 MAT244 - Ordinary Di erential Equations - Summer 206 Assignment 2 Due: July 20, 206 Full Name: Student #: Last First Indicate wic Tutorial Section you attend by filling in te appropriate circle: Tut 0

More information

Chapter 1 Functions and Graphs. Section 1.5 = = = 4. Check Point Exercises The slope of the line y = 3x+ 1 is 3.

Chapter 1 Functions and Graphs. Section 1.5 = = = 4. Check Point Exercises The slope of the line y = 3x+ 1 is 3. Capter Functions and Graps Section. Ceck Point Exercises. Te slope of te line y x+ is. y y m( x x y ( x ( y ( x+ point-slope y x+ 6 y x+ slope-intercept. a. Write te equation in slope-intercept form: x+

More information

New Fourth Order Explicit Group Method in the Solution of the Helmholtz Equation Norhashidah Hj. Mohd Ali, Teng Wai Ping

New Fourth Order Explicit Group Method in the Solution of the Helmholtz Equation Norhashidah Hj. Mohd Ali, Teng Wai Ping World Academy of Science, Engineering and Tecnology International Jornal of Matematical and Comptational Sciences Vol:9, No:, 05 New Fort Order Eplicit Grop Metod in te Soltion of te elmoltz Eqation Norasida.

More information

Exponentials and Logarithms Review Part 2: Exponentials

Exponentials and Logarithms Review Part 2: Exponentials Eponentials and Logaritms Review Part : Eponentials Notice te difference etween te functions: g( ) and f ( ) In te function g( ), te variale is te ase and te eponent is a constant. Tis is called a power

More information

SECTION 1.10: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES

SECTION 1.10: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES (Section.0: Difference Quotients).0. SECTION.0: DIFFERENCE QUOTIENTS LEARNING OBJECTIVES Define average rate of cange (and average velocity) algebraically and grapically. Be able to identify, construct,

More information

Analytic Solution of Fuzzy Second Order Differential Equations under H-Derivation

Analytic Solution of Fuzzy Second Order Differential Equations under H-Derivation Teory of Approximation and Applications Vol. 11, No. 1, (016), 99-115 Analytic Soltion of Fzzy Second Order Differential Eqations nder H-Derivation Lale Hoosangian a, a Department of Matematics, Dezfl

More information

Section A 01. (12 M) (s 2 s 3 ) = 313 s 2 = s 1, h 3 = h 4 (s 1 s 3 ) = kj/kgk. = kj/kgk. 313 (s 3 s 4f ) = ln

Section A 01. (12 M) (s 2 s 3 ) = 313 s 2 = s 1, h 3 = h 4 (s 1 s 3 ) = kj/kgk. = kj/kgk. 313 (s 3 s 4f ) = ln 0. (a) Sol: Section A A refrigerator macine uses R- as te working fluid. Te temperature of R- in te evaporator coil is 5C, and te gas leaves te compressor as dry saturated at a temperature of 40C. Te mean

More information

Externalities and fiscal policy in a Lucas-type model

Externalities and fiscal policy in a Lucas-type model University of A Corna From te SelectedWors of Manel A. Gómez April, 2005 Externalities and fiscal policy in a Lcas-type model Manel A. Gómez Available at: ttps://wors.bepress.com/manel_gomez/8/ Externalities

More information

The Verlet Algorithm for Molecular Dynamics Simulations

The Verlet Algorithm for Molecular Dynamics Simulations Cemistry 380.37 Fall 2015 Dr. Jean M. Standard November 9, 2015 Te Verlet Algoritm for Molecular Dynamics Simulations Equations of motion For a many-body system consisting of N particles, Newton's classical

More information

Section 2: The Derivative Definition of the Derivative

Section 2: The Derivative Definition of the Derivative Capter 2 Te Derivative Applied Calculus 80 Section 2: Te Derivative Definition of te Derivative Suppose we drop a tomato from te top of a 00 foot building and time its fall. Time (sec) Heigt (ft) 0.0 00

More information

Teaching Differentiation: A Rare Case for the Problem of the Slope of the Tangent Line

Teaching Differentiation: A Rare Case for the Problem of the Slope of the Tangent Line Teacing Differentiation: A Rare Case for te Problem of te Slope of te Tangent Line arxiv:1805.00343v1 [mat.ho] 29 Apr 2018 Roman Kvasov Department of Matematics University of Puerto Rico at Aguadilla Aguadilla,

More information

Numerical Analysis MTH603. dy dt = = (0) , y n+1. We obtain yn. Therefore. and. Copyright Virtual University of Pakistan 1

Numerical Analysis MTH603. dy dt = = (0) , y n+1. We obtain yn. Therefore. and. Copyright Virtual University of Pakistan 1 Numerical Analysis MTH60 PREDICTOR CORRECTOR METHOD Te metods presented so far are called single-step metods, were we ave seen tat te computation of y at t n+ tat is y n+ requires te knowledge of y n only.

More information

INTRODUCTION DEFINITION OF FLUID. U p F FLUID IS A SUBSTANCE THAT CAN NOT SUPPORT SHEAR FORCES OF ANY MAGNITUDE WITHOUT CONTINUOUS DEFORMATION

INTRODUCTION DEFINITION OF FLUID. U p F FLUID IS A SUBSTANCE THAT CAN NOT SUPPORT SHEAR FORCES OF ANY MAGNITUDE WITHOUT CONTINUOUS DEFORMATION INTRODUCTION DEFINITION OF FLUID plate solid F at t = 0 t > 0 = F/A plate U p F fluid t 0 t 1 t 2 t 3 FLUID IS A SUBSTANCE THAT CAN NOT SUPPORT SHEAR FORCES OF ANY MAGNITUDE WITHOUT CONTINUOUS DEFORMATION

More information

1watt=1W=1kg m 2 /s 3

1watt=1W=1kg m 2 /s 3 Appendix A Matematics Appendix A.1 Units To measure a pysical quantity, you need a standard. Eac pysical quantity as certain units. A unit is just a standard we use to compare, e.g. a ruler. In tis laboratory

More information

Suyeon Shin* and Woonjae Hwang**

Suyeon Shin* and Woonjae Hwang** JOURNAL OF THE CHUNGCHEONG MATHEMATICAL SOCIETY Volme 5, No. 3, Agst THE NUMERICAL SOLUTION OF SHALLOW WATER EQUATION BY MOVING MESH METHODS Syeon Sin* and Woonjae Hwang** Abstract. Tis paper presents

More information

Test 2 Review. 1. Find the determinant of the matrix below using (a) cofactor expansion and (b) row reduction. A = 3 2 =

Test 2 Review. 1. Find the determinant of the matrix below using (a) cofactor expansion and (b) row reduction. A = 3 2 = Test Review Find te determinant of te matrix below using (a cofactor expansion and (b row reduction Answer: (a det + = (b Observe R R R R R R R R R Ten det B = (((det Hence det Use Cramer s rule to solve:

More information

Mathematical and Numerical Modeling of Tsunamis in Nearshore Environment: Present and Future

Mathematical and Numerical Modeling of Tsunamis in Nearshore Environment: Present and Future Mathematical and Nmerical Modeling of Tsnamis in Nearshore Environment: Present and Ftre Philip L.-F. Li Cornell University DFG-Rond Table Discssion: Near- and Onshore Tsnami Effects FZK, Hannover, Germany,

More information

Math 212-Lecture 9. For a single-variable function z = f(x), the derivative is f (x) = lim h 0

Math 212-Lecture 9. For a single-variable function z = f(x), the derivative is f (x) = lim h 0 3.4: Partial Derivatives Definition Mat 22-Lecture 9 For a single-variable function z = f(x), te derivative is f (x) = lim 0 f(x+) f(x). For a function z = f(x, y) of two variables, to define te derivatives,

More information

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx. Capter 2 Integrals as sums and derivatives as differences We now switc to te simplest metods for integrating or differentiating a function from its function samples. A careful study of Taylor expansions

More information

Study on the impulsive pressure of tank oscillating by force towards multiple degrees of freedom

Study on the impulsive pressure of tank oscillating by force towards multiple degrees of freedom EPJ Web of Conferences 80, 0034 (08) EFM 07 Stdy on the implsive pressre of tank oscillating by force towards mltiple degrees of freedom Shigeyki Hibi,* The ational Defense Academy, Department of Mechanical

More information

The Derivative The rate of change

The Derivative The rate of change Calculus Lia Vas Te Derivative Te rate of cange Knowing and understanding te concept of derivative will enable you to answer te following questions. Let us consider a quantity wose size is described by

More information

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12.

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12. Capter 6. Fluid Mecanics Notes: Most of te material in tis capter is taken from Young and Freedman, Cap. 12. 6.1 Fluid Statics Fluids, i.e., substances tat can flow, are te subjects of tis capter. But

More information

A PHYSICAL MODEL STUDY OF SCOURING EFFECTS ON UPSTREAM/DOWNSTREAM OF THE BRIDGE

A PHYSICAL MODEL STUDY OF SCOURING EFFECTS ON UPSTREAM/DOWNSTREAM OF THE BRIDGE A PHYSICA MODE STUDY OF SCOURING EFFECTS ON UPSTREAM/DOWNSTREAM OF THE BRIDGE JIHN-SUNG AI Hydrotec Researc Institute, National Taiwan University Taipei, 1617, Taiwan HO-CHENG IEN National Center for Hig-Performance

More information