Darcy s law in 3-D. K * xx K * yy K * zz

Size: px
Start display at page:

Download "Darcy s law in 3-D. K * xx K * yy K * zz"

Transcription

1 PART 7 Equations of flow Darcy s law in 3-D Specific discarge (vector) is calculated by multiplying te ydraulic conductivity (second-order tensor) by te ydraulic gradient (vector). We obtain a general form of Darcy s law. q q x î K xx K xy K xz x q y ĵ K yx K yy K yz y q z kˆ K zx K zy K zz z K xx x K xy y K + + î xz z K yx x K yy y K + + ĵ yz z K zx x K zy y K + + kˆ zz z In vector notation, tis general form of Darcy s law is q K If te system is rotated suc tat te principal axes are aligned wit t x, y and z, ten we ave only te tree diagonal components in te ydraulic conductivity tensor K K * xx K * yy K * zz and te specific discarge becomes q K * xx î K * yy x y ĵ K * zz kˆ z Note tat K * xx, K* yy and K* zz are different in te rotated system tan in te original tensor. But te flow (q) must be te same in bot cases (we must preserve te flow wen we rotate te system). Hydrogeology, 431/531 - University of Arizona - Fall 007

2 Equations of flow 5 General continuity equation Assume: (1) medium beaves as a perfect elastic solid; () fluid as nearly constant density (it is incompressible for some purposes); (3) Darcy s law is valid. z q y Look at conservation of mass in a cubic unit volume Statement of mass conservation in te unit volume: q x dy dz x volume in - volume out cange in storage dx Volume in: face x: q x A q x dydz face y: q y A q y dxdz face z: q z A q z dxdy Total volume in q x dydz + q y dxdz + q z dxdy Volume out: x direction inflow + extra volume y q z q x dydz + ( q x / x)dxa x q x dydz + ( q x / x)dxdydz [q x + ( q x / x)dx]dydz y direction [q y + ( q y / y)dy]dxdz z direction [q z + ( q z / z)dz]dxdy Total volume out [q x + ( q x / x)dx]dydz + [q z + ( q z / z)dz]dxdy + [q z + ( q z / z)dz]dxdy Hydrogeology, 431/531 - University of Arizona - Fall 007

3 Equations of flow 53 Now look at te balance: volume in - volume out cange of storage ds Plug in volumes in and volumes out: q x dydz + q y dxdz + q z dxdy - [q x + ( q x / x)dx]dydz - [q y + ( q y / y)dy]dxdz - [q z + ( q z / z)dz]dxdy ds -( q x / x)dxdydz -( q y / y)dydxdz -( q z / z)dzdxdy ds (Equation 1) (- q x / x - q y / y - q z / z)dxdydz ds Look at ds. It is cange of storage (or volume) in time, i.e., ds -dv w /dt From te lecture on storage of water (part 8 of notes), we know tat dv w -S s V T d wic, on substitution into ds, gives (Equation ) ds -(-S s V T d)/dt S s dxdydz (d/dt) Finally, we put equations 1 and togeter: (Equation 3) q x q -- y q -- z -- S x y z S Continuity equation Recall te definition of divergence of vector a (divergence operator is, or del dot ; it takes a vector as te argument and it produces a scalar): a a -- x x a y a z y z Now, we can write our continuity equation in vector notation: q S S Te equation means: te divergence of flux q equals te cange of storage. Hydrogeology, 431/531 - University of Arizona - Fall 007

4 Equations of flow 54 Substitute Darcy s law (under assumption of principal directions) q x -K xx (/ x) q y -K yy (/ y) q z -K zz (/ z) into equation 3 to get x Kxx x Kyy Kzz + + S z z S Tis is te general continuity equation for eterogeneous and anisotropic medium. Wy is tis eterogeneous? Wy is it anisotropic? In vector notation, it is: K S S Diffusion equation Tis is te diffusion-type equation. It as noting to do wit te process of diffusion, but te equation is matematically te same as te equation tat describes te diffusion process. Moreover, te solutions are te same as tat of te diffusion equation; we can use tose solutions to solve groundwater flow equations! Boundary conditions Te flow equation is second order partial differential equation wit spatial (second-order spatial derivatives) and temporal (first order time derivative) terms in it. We need two boundary conditions to account for spatial variability, and an initial condition to account for te transient term. Possible boundary conditions are: (1) Prescribed ead (Diriclet) boundary condition; () Prescribed flux (Neumann) boundary condition; (3) Mixed (Caucy) boundary condition. An initial condition is specified ead at specified time. Hydrogeology, 431/531 - University of Arizona - Fall 007

5 Equations of flow 55 Boundary conditions Prescribed ead (Diriclet) boundary condition Head on te boundary (ere - contact between te river and te aquifer, i.e., yy te bottom of te river) is known and independent of te flow in te aquifer. ;; ; y Examples: open water (river, lake, ocean). Prescribed flux (Neumann) boundary condition ;;;;;; yyyyyy ;;;;;; yyyyyy aquifer river red contact area as ead defined by te river Flux on te boundary is known, i.e., - K(d/dn) known value (or -T(d/dn) known value) Note tat (d/dn) is in te direction normal to te boundary. Two types of prescribed flux boundaries: no-flow boundary: d/dn 0, e.g., impervious layer or fault non-zero flux boundary, e.g., examples A and B below Example A: outcrop were aquifer is recarged: prescribed flux infiltration rate Example B: pumping well wit discarge Q; flux on boundary F is: Q F K dσ n (A) ;; yy ;yrainfall (B) Q ;; yy F Hydrogeology, 431/531 - University of Arizona - Fall 007

6 Equations of flow 56 Mixed (Caucy or Fourier) boundary condition Te relationsip between flux and ead is known (altoug neiter flux nor ead are known). Example: leaky river bed Leakage troug te aquitard: q K' H s ---- b' were K is te ydraulic conductivity of te aquitard and b is its tickness; Hs is te ead in te river (it is independent of te ead in te aquifer). Flux at te aquifer/aquitard boundary (point A): ;;;; yyyy Aquifer: K A H s river Aquitard: K', b' q K n Te two fluxes (across aquitard and at point A) must be equal, so we can write: K K' H s ---- n b' tereby establising a relationsip between te ead in te aquifer and te flux -K(/ n). Hydrogeology, 431/531 - University of Arizona - Fall 007

7 Equations of flow 57 Simplified flow equations Te flow equation (p. 60, diffusion equation) is valid for any type of porous media. We now consider media wit specific properties. Anisotropic and omogeneous K is not a function of space, but is a function of direction, i.e., K(x1) K(x), but Kx Ky. Because K is not spatially variable (i.e., K/ x 0, and similarly for directions y and z) Kx x x K --- x + K x x x K x x x and similarly for y and z. Tus, te continuity equation becomes: K x + K y + K z S x y z S or, in vector notation: K S S Isotropic and eterogeneous Kx Ky Kz, but tey vary in space (e.g., K(x1) K(x)). x K K K + + S x z z S or, in vector notation: ( K ) S S Hydrogeology, 431/531 - University of Arizona - Fall 007

8 Equations of flow 58 Isotropic and omogeneous Kx Ky Kz constant in space K + + y z x S S or, in vector notation: K S S or S S ---- K t were S S /K is called ydraulic diffusivity. Steady state constant in time (tus, / 0); no oter simplifying conditions. K 0 If also omogeneous and isotropic K 0 and K does not matter as we can divide bot sides by K 0 Laplace equation Hydrogeology, 431/531 - University of Arizona - Fall 007

9 Equations of flow 59 Horizontal flow and transmissivity PDE: S S K K + y x z were is a -D Laplace operator. Multiply bot sides by (constant?) tickness b S S b K Kb + x y b ;yflow ;y x In tis equation: y S S b S is te storativity [-], Kb T is te transmissivity [L T -1 ]. Tis equation describes transient orizontal flow in omogeneous and isotropic, confined aquifer. Oter forms: T -- S D were D T/S is te aquifer diffusivity (most important factor for flow). Or, in general form: S T were T double bar is te transmissivity tensor (equivalent to ydraulic conductivity tensor). Hydrogeology, 431/531 - University of Arizona - Fall 007

10 Equations of flow 60 Horizontal flow in preatic aquifer Tickness b is now variable and it depends on te position of te water table. ;;; Confined Preatic yyb Lake b datum ;;yyy Saturated tickness independent of Saturated tickness varies in time wit Simplifying assumptions (Dupuit assumptions): (1) Essentially orizontal flow () Hydraulic gradient equal to te slope of te water table Note: (1) and () assume vertical equipotentials. (3) No seepage face. (4) Neglect compressibility (S S 0). (5) Horizontal bottom of te aquifer. water table t t + dt Flow in x direction: in: -K x dy (/ x) out: - / x[-k x dy (/ x)] - K x dy (/ x) net: - / x[-k x dy (/ x)]dx y dx dy Similarly net in y direction. Cange in storage: ds S y (/) dx dy x Putting all togeter: x Kx dy dx x Ky dx + dy Sy dxdy Hydrogeology, 431/531 - University of Arizona - Fall 007

11 Equations of flow 61 x Kx Ky + S x y Tis is Bousinesq equation for orizontal flow in a preatic aquifer wit orizontal bottom. Because K x T x and K y T y, we can write Tx Ty + S x x y or ( K ) S y were (x, y, t) and K is a -D tensor defined as K K xx K xy K yx K yy T const; T canges in time because of canges in te ead (water table) Important!!! T T() T((x, y, t)) Confined aquifer: T const Kb S Tx + Ty x x linear equation Preatic aquifer: T T() S y x ( ) x ( ) Tx + Ty nonlinear equation Hydrogeology, 431/531 - University of Arizona - Fall 007

12 Equations of flow 6 To solve nonlinear equation, assume T x () T x const and T y () T y const. Tis is called linearization. K K + S x x y y y Look at (/ x) 0.5( / x). Now we can write 1 --K K -- + S x x y y y or in vector notation K --- S y Tis is Bousinesq equation (for omogeneous, isotropic, orizontal bottom aquifer). Te equation is linear in (it was made linear in troug te process of linearization of second type) For steady state S y (/) 0 and we ave K or 0 and K does not matter. Suppose d is muc smaller tan (d<<). Look at K ( ) S y K ( ) K( + ) K T were is te average ead. Tis simplification was possible because d is small, ence is close to zero, and ence te term 0. Now we ave T S y preatic, omogeneous, isotropic Tis equation is linear in. It was made linear in troug te process of linearization of first type. Hydrogeology, 431/531 - University of Arizona - Fall 007

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #9: Numerical Modeling of Groundwater Flow

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #9: Numerical Modeling of Groundwater Flow 1.7, Groundwater Hydrology Prof. Carles Harvey Lecture Packet #9: Numerical Modeling of Groundwater Flow Simulation: Te prediction of quantities of interest (dependent variables) based upon an equation

More information

Review of the Fundamentals of Groundwater Flow

Review of the Fundamentals of Groundwater Flow Review of te Fundamentals of Groundwater Flow Darc s Law 1 A 1 L A or L 1 datum L : volumetric flow rate [L 3 T -1 ] 1 : draulic ead upstream [L] A : draulic ead downstream [L] : draulic conductivit [L

More information

Brief Review of Vector Calculus

Brief Review of Vector Calculus Darc s Law in 3D Toda Vector Calculus Darc s Law in 3D q " A scalar as onl a magnitude A vector is caracteried b bot direction and magnitude. e.g, g, q, v,"," Vectors are represented b : boldface in boos,

More information

Mechanical Energy. Kinetic Energy. Gravitational Potential Energy

Mechanical Energy. Kinetic Energy. Gravitational Potential Energy Mechanical Energy Kinetic Energy E k = 1 2 mv2 where E k is energy (kg-m 2 /s 2 ) v is velocity (m/s) Gravitational Potential Energy E g = W = mgz where w is work (kg-m 2 /s 2 ) m is mass (kg) z is elevation

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

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #4: Continuity and Flow Nets

1.72, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #4: Continuity and Flow Nets 1.7, Groundwater Hydrology Prof. Charles Harvey Lecture Packet #4: Continuity and Flow Nets Equation of Continuity Our equations of hydrogeology are a combination of o Conservation of mass o Some empirical

More information

Gradient Descent etc.

Gradient Descent etc. 1 Gradient Descent etc EE 13: Networked estimation and control Prof Kan) I DERIVATIVE Consider f : R R x fx) Te derivative is defined as d fx) = lim dx fx + ) fx) Te cain rule states tat if d d f gx) )

More information

Hydraulic properties of porous media

Hydraulic properties of porous media PART 5 Hydraulic properties of porous media Porosity Definition: Void space: n V void /V total total porosity e V void /V solid Primary porosity - between grains Secondary porosity - fracture or solution

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

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

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

Seepage Analysis through Earth Dam Based on Finite Difference Method

Seepage Analysis through Earth Dam Based on Finite Difference Method J. Basic. Appl. Sci. Res., (11)111-1, 1 1, TetRoad Publication ISSN -44 Journal of Basic and Applied Scientific Researc www.tetroad.com Seepage Analysis troug Eart Dam Based on Finite Difference Metod

More information

AE/ME 339. Computational Fluid Dynamics (CFD) K. M. Isaac. Momentum equation. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept.

AE/ME 339. Computational Fluid Dynamics (CFD) K. M. Isaac. Momentum equation. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept. AE/ME 339 Computational Fluid Dynamics (CFD) 9//005 Topic7_NS_ F0 1 Momentum equation 9//005 Topic7_NS_ F0 1 Consider the moving fluid element model shown in Figure.b Basis is Newton s nd Law which says

More information

GG655/CEE623 Groundwater Modeling. Aly I. El-Kadi

GG655/CEE623 Groundwater Modeling. Aly I. El-Kadi GG655/CEE63 Groundwater Modeling Model Theory Water Flow Aly I. El-Kadi Hydrogeology 1 Saline water in oceans = 97.% Ice caps and glaciers =.14% Groundwater = 0.61% Surface water = 0.009% Soil moisture

More information

Chapter 2: Basic Governing Equations

Chapter 2: Basic Governing Equations -1 Reynolds Transport Theorem (RTT) - Continuity Equation -3 The Linear Momentum Equation -4 The First Law of Thermodynamics -5 General Equation in Conservative Form -6 General Equation in Non-Conservative

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

Continuity. Example 1

Continuity. Example 1 Continuity MATH 1003 Calculus and Linear Algebra (Lecture 13.5) Maoseng Xiong Department of Matematics, HKUST A function f : (a, b) R is continuous at a point c (a, b) if 1. x c f (x) exists, 2. f (c)

More information

Section 2.1 The Definition of the Derivative. We are interested in finding the slope of the tangent line at a specific point.

Section 2.1 The Definition of the Derivative. We are interested in finding the slope of the tangent line at a specific point. Popper 6: Review of skills: Find tis difference quotient. f ( x ) f ( x) if f ( x) x Answer coices given in audio on te video. Section.1 Te Definition of te Derivative We are interested in finding te slope

More information

12. Stresses and Strains

12. Stresses and Strains 12. Stresses and Strains Finite Element Method Differential Equation Weak Formulation Approximating Functions Weighted Residuals FEM - Formulation Classification of Problems Scalar Vector 1-D T(x) u(x)

More information

Outline. Seepage Analysis. Soil Mechanics. Laplace Equation of Continuity

Outline. Seepage Analysis. Soil Mechanics. Laplace Equation of Continuity Soil Mecanics Seepage nalysis Ci-Ping Lin National Ciao Tung Uni. cplin@mail.nctu.edu.tw Outline Laplace Equation of Continuity 1-D D Eample (-D) Computations using in nisotropic Soil Seepage troug an

More information

1 1. Rationalize the denominator and fully simplify the radical expression 3 3. Solution: = 1 = 3 3 = 2

1 1. Rationalize the denominator and fully simplify the radical expression 3 3. Solution: = 1 = 3 3 = 2 MTH - Spring 04 Exam Review (Solutions) Exam : February 5t 6:00-7:0 Tis exam review contains questions similar to tose you sould expect to see on Exam. Te questions included in tis review, owever, are

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

ENGI Gradient, Divergence, Curl Page 5.01

ENGI Gradient, Divergence, Curl Page 5.01 ENGI 940 5.0 - Gradient, Divergence, Curl Page 5.0 5. e Gradient Operator A brief review is provided ere for te gradient operator in bot Cartesian and ortogonal non-cartesian coordinate systems. Sections

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

(Refer Slide Time: 02:10)

(Refer Slide Time: 02:10) Soil Mechanics Prof. B.V.S. Viswanathan Department of Civil Engineering Indian Institute of Technology, Bombay Lecture 24 Flow of water through soils-v Welcome to lecture five of flow of water through

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

Comment on Experimental observations of saltwater up-coning

Comment on Experimental observations of saltwater up-coning 1 Comment on Experimental observations of saltwater up-coning H. Zang 1,, D.A. Barry 2 and G.C. Hocking 3 1 Griffit Scool of Engineering, Griffit University, Gold Coast Campus, QLD 4222, Australia. Tel.:

More information

5.1 We will begin this section with the definition of a rational expression. We

5.1 We will begin this section with the definition of a rational expression. We Basic Properties and Reducing to Lowest Terms 5.1 We will begin tis section wit te definition of a rational epression. We will ten state te two basic properties associated wit rational epressions and go

More information

Module 2: Governing Equations and Hypersonic Relations

Module 2: Governing Equations and Hypersonic Relations Module 2: Governing Equations and Hypersonic Relations Lecture -2: Mass Conservation Equation 2.1 The Differential Equation for mass conservation: Let consider an infinitely small elemental control volume

More information

Chapter 9: Differential Analysis

Chapter 9: Differential Analysis 9-1 Introduction 9-2 Conservation of Mass 9-3 The Stream Function 9-4 Conservation of Linear Momentum 9-5 Navier Stokes Equation 9-6 Differential Analysis Problems Recall 9-1 Introduction (1) Chap 5: Control

More information

In this section, mathematical description of the motion of fluid elements moving in a flow field is

In this section, mathematical description of the motion of fluid elements moving in a flow field is Jun. 05, 015 Chapter 6. Differential Analysis of Fluid Flow 6.1 Fluid Element Kinematics In this section, mathematical description of the motion of fluid elements moving in a flow field is given. A small

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

Groundwater Flow and Solute Transport Modeling

Groundwater Flow and Solute Transport Modeling Groundwater Flow and Solute Transport Modeling Ye Zhang Dept. of Geology & Geophysics University of Wyoming c Draft date February 13, 2016 Contents Contents i 0.1 Introduction..............................

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

" = ˆ i # #x + ˆ j # #y + ˆ k # #z. "t = D #2 h

 = ˆ i # #x + ˆ j # #y + ˆ k # #z. t = D #2 h del operator " = ˆ i # #x + ˆ j # #y + ˆ k # #z Hydrology Gradient: "h = ˆ i #h #x + ˆ j #h #y + k ˆ #h #z q = - K"h Darcy s Law Divergence: " q = #q 1 #x + #q 2 #y + #q 3 #z Laplacian: " 2 h = #2 h #x

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

SOIL MECHANICS

SOIL MECHANICS 4.330 SOIL MECHANICS BERNOULLI S EQUATION Were: u w g Z = Total Head u = Pressure = Velocity g = Acceleration due to Graity w = Unit Weigt of Water Slide of 37 4.330 SOIL MECHANICS BERNOULLI S EQUATION

More information

SECTION 3.2: DERIVATIVE FUNCTIONS and DIFFERENTIABILITY

SECTION 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 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

MATH CALCULUS I 2.1: Derivatives and Rates of Change

MATH CALCULUS I 2.1: Derivatives and Rates of Change MATH 12002 - CALCULUS I 2.1: Derivatives and Rates of Cange Professor Donald L. Wite Department of Matematical Sciences Kent State University D.L. Wite (Kent State University) 1 / 1 Introduction Our main

More information

7.8 Transient motion in a two-layered sea

7.8 Transient motion in a two-layered sea 1 Lecture Notes on Fluid Dynamics (1.63J/2.21J by Ciang C. Mei, 2002 7-8-2layer.tex Refs: Csandy: Circulation in te Coastal Ocean Cusman-Rosin, Intro to Geopysical Fluid Dynamics 7.8 Transient motion in

More information

Notes: DERIVATIVES. Velocity and Other Rates of Change

Notes: DERIVATIVES. Velocity and Other Rates of Change Notes: DERIVATIVES Velocity and Oter Rates of Cange I. Average Rate of Cange A.) Def.- Te average rate of cange of f(x) on te interval [a, b] is f( b) f( a) b a secant ( ) ( ) m troug a, f ( a ) and b,

More information

Solutions Manual for Precalculus An Investigation of Functions

Solutions Manual for Precalculus An Investigation of Functions Solutions Manual for Precalculus An Investigation of Functions David Lippman, Melonie Rasmussen 1 st Edition Solutions created at Te Evergreen State College and Soreline Community College 1.1 Solutions

More information

Solutions to Homework #05 MATH ln z 2 + x 2 1 = 2x2 z 2 + x 2 + ln z2 + x 2. = x. ln z 2 + x 2 2z z 2 + x 2 = 2xz

Solutions to Homework #05 MATH ln z 2 + x 2 1 = 2x2 z 2 + x 2 + ln z2 + x 2. = x. ln z 2 + x 2 2z z 2 + x 2 = 2xz Solutions to Homeork #05 MATH Kaai Section. (I) Exercise #. g x and g z : Product Rule: g x = x @ ln z + x + ln z + x @ [x] = x x z + x + ln z + x = x z + x + ln z + x x is eld constant. g z = x @ ln z

More information

3.4 Worksheet: Proof of the Chain Rule NAME

3.4 Worksheet: Proof of the Chain Rule NAME Mat 1170 3.4 Workseet: Proof of te Cain Rule NAME Te Cain Rule So far we are able to differentiate all types of functions. For example: polynomials, rational, root, and trigonometric functions. We are

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

Chapter 9: Differential Analysis of Fluid Flow

Chapter 9: Differential Analysis of Fluid Flow of Fluid Flow Objectives 1. Understand how the differential equations of mass and momentum conservation are derived. 2. Calculate the stream function and pressure field, and plot streamlines for a known

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

LECTURE 14 NUMERICAL INTEGRATION. Find

LECTURE 14 NUMERICAL INTEGRATION. Find LECTURE 14 NUMERCAL NTEGRATON Find b a fxdx or b a vx ux fx ydy dx Often integration is required. However te form of fx may be suc tat analytical integration would be very difficult or impossible. Use

More information

. If lim. x 2 x 1. f(x+h) f(x)

. If lim. x 2 x 1. f(x+h) f(x) Review of Differential Calculus Wen te value of one variable y is uniquely determined by te value of anoter variable x, ten te relationsip between x and y is described by a function f tat assigns a value

More information

MTH-112 Quiz 1 Name: # :

MTH-112 Quiz 1 Name: # : MTH- Quiz Name: # : Please write our name in te provided space. Simplif our answers. Sow our work.. Determine weter te given relation is a function. Give te domain and range of te relation.. Does te equation

More information

Lesson 6: The Derivative

Lesson 6: The Derivative Lesson 6: Te Derivative Def. A difference quotient for a function as te form f(x + ) f(x) (x + ) x f(x + x) f(x) (x + x) x f(a + ) f(a) (a + ) a Notice tat a difference quotient always as te form of cange

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

Polynomial Functions. Linear Functions. Precalculus: Linear and Quadratic Functions

Polynomial Functions. Linear Functions. Precalculus: Linear and Quadratic Functions Concepts: definition of polynomial functions, linear functions tree representations), transformation of y = x to get y = mx + b, quadratic functions axis of symmetry, vertex, x-intercepts), transformations

More information

Math 1241 Calculus Test 1

Math 1241 Calculus Test 1 February 4, 2004 Name Te first nine problems count 6 points eac and te final seven count as marked. Tere are 120 points available on tis test. Multiple coice section. Circle te correct coice(s). You do

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

Name: Answer Key No calculators. Show your work! 1. (21 points) All answers should either be,, a (finite) real number, or DNE ( does not exist ).

Name: Answer Key No calculators. Show your work! 1. (21 points) All answers should either be,, a (finite) real number, or DNE ( does not exist ). Mat - Final Exam August 3 rd, Name: Answer Key No calculators. Sow your work!. points) All answers sould eiter be,, a finite) real number, or DNE does not exist ). a) Use te grap of te function to evaluate

More information

A Reconsideration of Matter Waves

A Reconsideration of Matter Waves A Reconsideration of Matter Waves by Roger Ellman Abstract Matter waves were discovered in te early 20t century from teir wavelengt, predicted by DeBroglie, Planck's constant divided by te particle's momentum,

More information

The Derivative as a Function

The Derivative as a Function Section 2.2 Te Derivative as a Function 200 Kiryl Tsiscanka Te Derivative as a Function DEFINITION: Te derivative of a function f at a number a, denoted by f (a), is if tis limit exists. f (a) f(a + )

More information

Combining functions: algebraic methods

Combining 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 information

Getting started: CFD notation

Getting started: CFD notation PDE of p-th order Getting started: CFD notation f ( u,x, t, u x 1,..., u x n, u, 2 u x 1 x 2,..., p u p ) = 0 scalar unknowns u = u(x, t), x R n, t R, n = 1,2,3 vector unknowns v = v(x, t), v R m, m =

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

THE STURM-LIOUVILLE-TRANSFORMATION FOR THE SOLUTION OF VECTOR PARTIAL DIFFERENTIAL EQUATIONS. L. Trautmann, R. Rabenstein

THE STURM-LIOUVILLE-TRANSFORMATION FOR THE SOLUTION OF VECTOR PARTIAL DIFFERENTIAL EQUATIONS. L. Trautmann, R. Rabenstein Worksop on Transforms and Filter Banks (WTFB),Brandenburg, Germany, Marc 999 THE STURM-LIOUVILLE-TRANSFORMATION FOR THE SOLUTION OF VECTOR PARTIAL DIFFERENTIAL EQUATIONS L. Trautmann, R. Rabenstein Lerstul

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

A Brief Revision of Vector Calculus and Maxwell s Equations

A Brief Revision of Vector Calculus and Maxwell s Equations A Brief Revision of Vector Calculus and Maxwell s Equations Debapratim Ghosh Electronic Systems Group Department of Electrical Engineering Indian Institute of Technology Bombay e-mail: dghosh@ee.iitb.ac.in

More information

Divergence Theorem and Its Application in Characterizing

Divergence Theorem and Its Application in Characterizing Divergence Theorem and Its Application in Characterizing Fluid Flow Let v be the velocity of flow of a fluid element and ρ(x, y, z, t) be the mass density of fluid at a point (x, y, z) at time t. Thus,

More information

= 0 and states ''hence there is a stationary point'' All aspects of the proof dx must be correct (c)

= 0 and states ''hence there is a stationary point'' All aspects of the proof dx must be correct (c) Paper 1: Pure Matematics 1 Mark Sceme 1(a) (i) (ii) d d y 3 1x 4x x M1 A1 d y dx 1.1b 1.1b 36x 48x A1ft 1.1b Substitutes x = into teir dx (3) 3 1 4 Sows d y 0 and states ''ence tere is a stationary point''

More information

MATH1131/1141 Calculus Test S1 v8a

MATH1131/1141 Calculus Test S1 v8a MATH/ Calculus Test 8 S v8a October, 7 Tese solutions were written by Joann Blanco, typed by Brendan Trin and edited by Mattew Yan and Henderson Ko Please be etical wit tis resource It is for te use of

More information

CLOSED CONVEX SHELLS Meunargia T. Mixed forms of stress-strain relations are given in the form. λ + 2µ θ + 1

CLOSED CONVEX SHELLS Meunargia T. Mixed forms of stress-strain relations are given in the form. λ + 2µ θ + 1 Seminar of I. Vekua Institute of Applied Matematics REPORTS, Vol. 43, 207 CLOSED CONVEX SHELLS Meunargia T. Abstract. If Ω is a closed convex sell, ten S : x 3 = 0 is an ovaloid. It is proved tat in tis

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

LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION

LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LAURA EVANS.. Introduction Not all differential equations can be explicitly solved for y. Tis can be problematic if we need to know te value of y

More information

MATH 280 Multivariate Calculus Fall Integrating a vector field over a surface

MATH 280 Multivariate Calculus Fall Integrating a vector field over a surface MATH 280 Multivariate Calculus Fall 2011 Definition Integrating a vector field over a surface We are given a vector field F in space and an oriented surface in the domain of F as shown in the figure below

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

AE/ME 339. K. M. Isaac Professor of Aerospace Engineering. 12/21/01 topic7_ns_equations 1

AE/ME 339. K. M. Isaac Professor of Aerospace Engineering. 12/21/01 topic7_ns_equations 1 AE/ME 339 Professor of Aerospace Engineering 12/21/01 topic7_ns_equations 1 Continuity equation Governing equation summary Non-conservation form D Dt. V 0.(2.29) Conservation form ( V ) 0...(2.33) t 12/21/01

More information

Chapter 5. The Differential Forms of the Fundamental Laws

Chapter 5. The Differential Forms of the Fundamental Laws Chapter 5 The Differential Forms of the Fundamental Laws 1 5.1 Introduction Two primary methods in deriving the differential forms of fundamental laws: Gauss s Theorem: Allows area integrals of the equations

More information

Solution for the Homework 4

Solution for the Homework 4 Solution for te Homework 4 Problem 6.5: In tis section we computed te single-particle translational partition function, tr, by summing over all definite-energy wavefunctions. An alternative approac, owever,

More information

Second-Order Linear ODEs (Textbook, Chap 2)

Second-Order Linear ODEs (Textbook, Chap 2) Second-Order Linear ODEs (Textbook, Chap ) Motivation Recall from notes, pp. 58-59, the second example of a DE that we introduced there. d φ 1 1 φ = φ 0 dx λ λ Q w ' (a1) This equation represents conservation

More information

Solutions to the Multivariable Calculus and Linear Algebra problems on the Comprehensive Examination of January 31, 2014

Solutions to the Multivariable Calculus and Linear Algebra problems on the Comprehensive Examination of January 31, 2014 Solutions to te Multivariable Calculus and Linear Algebra problems on te Compreensive Examination of January 3, 24 Tere are 9 problems ( points eac, totaling 9 points) on tis portion of te examination.

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

Mathematics 5 Worksheet 11 Geometry, Tangency, and the Derivative

Mathematics 5 Worksheet 11 Geometry, Tangency, and the Derivative Matematics 5 Workseet 11 Geometry, Tangency, and te Derivative Problem 1. Find te equation of a line wit slope m tat intersects te point (3, 9). Solution. Te equation for a line passing troug a point (x

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree in Mechanical Engineering Numerical Heat and Mass Transfer 02-Transient Conduction Fausto Arpino f.arpino@unicas.it Outline Introduction Conduction ü Heat conduction equation ü Boundary conditions

More information

Quaternion Dynamics, Part 1 Functions, Derivatives, and Integrals. Gary D. Simpson. rev 01 Aug 08, 2016.

Quaternion Dynamics, Part 1 Functions, Derivatives, and Integrals. Gary D. Simpson. rev 01 Aug 08, 2016. Quaternion Dynamics, Part 1 Functions, Derivatives, and Integrals Gary D. Simpson gsim1887@aol.com rev 1 Aug 8, 216 Summary Definitions are presented for "quaternion functions" of a quaternion. Polynomial

More information

Differential Calculus (The basics) Prepared by Mr. C. Hull

Differential Calculus (The basics) Prepared by Mr. C. Hull Differential Calculus Te basics) A : Limits In tis work on limits, we will deal only wit functions i.e. tose relationsips in wic an input variable ) defines a unique output variable y). Wen we work wit

More information

1. Questions (a) through (e) refer to the graph of the function f given below. (A) 0 (B) 1 (C) 2 (D) 4 (E) does not exist

1. Questions (a) through (e) refer to the graph of the function f given below. (A) 0 (B) 1 (C) 2 (D) 4 (E) does not exist Mat 1120 Calculus Test 2. October 18, 2001 Your name Te multiple coice problems count 4 points eac. In te multiple coice section, circle te correct coice (or coices). You must sow your work on te oter

More information

MAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points

MAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points MAT 15 Test #2 Name Solution Guide Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points Use te grap of a function sown ere as you respond to questions 1 to 8. 1. lim f (x) 0 2. lim

More information

PEAT SEISMOLOGY Lecture 2: Continuum mechanics

PEAT SEISMOLOGY Lecture 2: Continuum mechanics PEAT8002 - SEISMOLOGY Lecture 2: Continuum mechanics Nick Rawlinson Research School of Earth Sciences Australian National University Strain Strain is the formal description of the change in shape of a

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

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

Department of Mathematics, K.T.H.M. College, Nashik F.Y.B.Sc. Calculus Practical (Academic Year )

Department of Mathematics, K.T.H.M. College, Nashik F.Y.B.Sc. Calculus Practical (Academic Year ) F.Y.B.Sc. Calculus Practical (Academic Year 06-7) Practical : Graps of Elementary Functions. a) Grap of y = f(x) mirror image of Grap of y = f(x) about X axis b) Grap of y = f( x) mirror image of Grap

More information

Computer Applications in Engineering and Construction Programming Assignment #9 Principle Stresses and Flow Nets in Geotechnical Design

Computer Applications in Engineering and Construction Programming Assignment #9 Principle Stresses and Flow Nets in Geotechnical Design CVEN 302-501 Computer Applications in Engineering and Construction Programming Assignment #9 Principle Stresses and Flow Nets in Geotechnical Design Date distributed : 12/2/2015 Date due : 12/9/2015 at

More information

CHAPTER 2 MODELING OF THREE-TANK SYSTEM

CHAPTER 2 MODELING OF THREE-TANK SYSTEM 7 CHAPTER MODELING OF THREE-TANK SYSTEM. INTRODUCTION Te interacting tree-tank system is a typical example of a nonlinear MIMO system. Heiming and Lunze (999) ave regarded treetank system as a bencmark

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

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

Chapter 4: Numerical Methods for Common Mathematical Problems

Chapter 4: Numerical Methods for Common Mathematical Problems 1 Capter 4: Numerical Metods for Common Matematical Problems Interpolation Problem: Suppose we ave data defined at a discrete set of points (x i, y i ), i = 0, 1,..., N. Often it is useful to ave a smoot

More information

University Mathematics 2

University Mathematics 2 University Matematics 2 1 Differentiability In tis section, we discuss te differentiability of functions. Definition 1.1 Differentiable function). Let f) be a function. We say tat f is differentiable at

More information

Atm S 547 Boundary Layer Meteorology

Atm S 547 Boundary Layer Meteorology Lecture 9. Nonlocal BL parameterizations for clear unstable boundary layers In tis lecture Nonlocal K-profile parameterization (e. g. WRF-YSU) for dry convective BLs EDMF parameterizations (e. g. ECMWF)

More information

THE IMPLICIT FUNCTION THEOREM

THE IMPLICIT FUNCTION THEOREM THE IMPLICIT FUNCTION THEOREM ALEXANDRU ALEMAN 1. Motivation and statement We want to understand a general situation wic occurs in almost any area wic uses matematics. Suppose we are given number of equations

More information

5. TWO-DIMENSIONAL FLOW OF WATER THROUGH SOILS 5.1 INTRODUCTION

5. TWO-DIMENSIONAL FLOW OF WATER THROUGH SOILS 5.1 INTRODUCTION 5. TWO-DIMENSIONAL FLOW OF WATER TROUG SOILS 5.1 INTRODUCTION In many instances the flo of ater through soils is neither one-dimensional nor uniform over the area perpendicular to flo. It is often necessary

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

Chapter 4: Fluid Kinematics

Chapter 4: Fluid Kinematics Overview Fluid kinematics deals with the motion of fluids without considering the forces and moments which create the motion. Items discussed in this Chapter. Material derivative and its relationship to

More information