2. (5) Why is the critical Reynolds number for the transition to turbulent flow only 500 for open channels, but 2000 for pipes flowing full?
|
|
- Lillian Cook
- 7 years ago
- Views:
Transcription
1 CEE 4 Fnal Exam, Aut pts. possble. Some nformaton that you mght fnd useful s provded below, and a Moody dagram s attached at the end of the exam. Propertes of Water ρ = 1000 kg/m = 1.94 slugs/ft γ = 9800 N/m = 6.4 lb/ft µ 70F = 1.00 x 10 N-s/m =.05 x 10 5 lb-s/ft ν 70F = 1.00 x 10 6 m /s = 1.06 x 10 5 ft /s p vap =.4 kpa = 0.06 ps Constants, Conversons, etc. g = 9.81 m/s =. ft/s 1 kw = 1000 N-m/s p atm = kpa = 14.7 ps 1 hp = 550 ft-lb/s Area Volume Centrod I c Rectangle bh h/ bh /1 Trangle bh/ h/ bh /6 Crcle π d /4 d/ π d 4 /64 Sphere π d π d / 6 d/ Cone π d h/ 1 h/4 (from flat surface of cone) 1. (10) Dscuss brefly the smlartes and dfferences between the Darcy- Wesbach and Hazen-Wllams equatons. Focus on when and how the equatons are used, not on the mathematcal dfferences.. (5) Why s the crtcal Reynolds number for the transton to turbulent flow only 500 for open channels, but 000 for ppes flowng full?. (15) Calculate the horzontal component of the force on the sold, concal plug shown below. 1
2 4. (15) Calculate the horzontal force of the free jet on the crcular plate shown n the followng schematc. The flow rate s 4.5 L/s, the jet s strkng the fxed, crcular plate, and the pressure gage s measurng the pressure at the centerlne of where the flow strkes the plate. 5. (0) Calculate the horsepower that the pump must supply to pump the water at a flow rate of.5 ft /s n the system shown below, gnorng headlosses other than those through the ppes. The ppes have an absolute roughness of 6.67x10 4 ft. Draw the HGL and EL on the dagram, from plane A to plane B. In drawng ths sketch, you should consder mnor headlosses (.e., headlosses caused by processes other than frcton wth the ppe walls). Draw and label the lnes clearly, and dentfy all locatons where both lnes are at the same elevaton. Do you expect the pressure to be negatve anywhere n the system?
3 B El. 150 ft A El. 15 ft 000 ft; 8 n. El. 50 ft El. 40 ft 1000 ft; 8 n. P 6. (0) Calculate the flow rate from ths water tank f the 6-n. ppelne has a frcton factor of 0.00 and s 50 ft long, and the water s at 70 o F. The water n the tank s 5 ft deep. The mnor loss coeffcents (k) for headlosses at the sharpedged entrance to the ppe and at the submerged dscharge are 0.5 and 1.0, respectvely. Where s the locaton of lowest pressure n the system? Mght cavtaton be a problem at ths locaton?
4 7. (15) In the flow network shown below, Loop I ncludes ppes 1,, and ; Loop II ncludes ppes, 4, and 5; and Loop III ncludes ppes, 6, and 7 (ppe numbers are ndcated by # n the dagram). A frst guess has been made for the flow rate n each ppe (n cfs) and s shown on the dagram; the correspondng frctonal headlosses have been calculated usng the Darcy-Wesbach equaton and are summarzed below. What should the next guesses be for the drecton and magntude of the flows n ppes and? Ppe Q h f
5 CIVE 4 Aut 004 Fnal Exam Solutons 1. The DW and HW equatons both relate headloss n full-flowng conduts to geometrc factors, flud propertes, and operatng parameters. The DW equaton apples to any flud flowng wth any velocty (.e., any Reynolds number). On the other hand, the HW equaton s specfcally for water, n turbulent flow under for a lmted range of Reynolds numbers that correspond to condtons typcal for water supply ppes.. In open channel flow, the Reynolds number s typcally defned as R h Vρ/µ, whereas n crcular ppes flowng full, t s defned as DVρ/µ. Snce the hydraulc radus s one-fourth the dameter of a crcular ppe, a Reynolds number of 500 n an open channel corresponds to a Reynolds number of 000 n a full ppe. Thus, the reason for the dfferent Reynolds numbers at the transton from lamnar to turbulent flow s the dfferent ways that the Reynolds number s defned; the actual propertes of the flow at the transton are (vrtually) dentcal n the two types of systems.. The net horzontal force on the cone equals the horzontal force to the rght on the flat, vertcal (crcular) surface mnus the horzontal force to the left on the concal sdes. The horzontal force on any dfferental area of the concal sdes equals the force on a projecton of that area on a vertcal plane. Therefore, that force exactly balances the force on the correspondng vertcal area on the flat surface (.e., at the same depth). As a result, the net horzontal force on the cone s the force on the porton of the flat sde of the cone that has only ar, and not water, to the rght. Ths area s a crcle wth a dameter of ft. The average pressure on the crcle s γ h c, so: ( ft) lb F = pca= γhca= 6.4 ( 9 ft) π =,970 lb ft 4 4. At the plate, the velocty head s converted entrely to pressure head. The pressure before the water hts the plate s zero, and s the velocty at the pont where the pressure s beng measured. In addton, the elevaton s dentcal at those two locatons. Therefore, usng Bernoull s equaton, we can fnd the upstream velocty, and then use ths value n conjuncton wth the momentum equaton to fnd the force on the plate: p 1 γ + z 1 + v1 p g = γ + z + v g gp 9.81 m/s 690,000 Pa v1 = = = 7. m/s γ 9810 kg/m 5
6 ( 4.5 L/s)( 1000 kg/m )( 7. m/s) F = Qρv= = 1579 N to the rght 1000 L/m 5. To fnd the requred horsepower, we need to know the headloss n the ppe. We can fnd the headloss wth the DW equaton, f we frst estmate the frcton factor from ether the Moody dagram or the Haaland equaton (assumng the flow s turbulent). In ether case, to estmate f, we need to know the Reynolds number, whch we can fnd as follows: Q.5 ft /s 1 V = 7.16 ft/s π d /4 = π 8/1 ft /4 = ( 7.16 ft/s)( 8/1 ft) 5 Vd Re = = = 4.50x10 ν x10 ft /s The value of e/d can be computed drectly from the gven nformaton: e d x10 ft = = /1 ft For these values of Re and e/d, the frcton factor can be found from the Moody dagram as approxmately The two ppes have dentcal dameter, roughness, and velocty, so the headloss per unt length s the same n them, and the total headloss can be computed based on ther combned length of 000 ft. The total headloss through the two ppe sectons s therefore: ( 7.16 ft/s) LV 000 ft hl = f = 0.01 = 75. ft d g 8/1 ft. ft/s The total head that the pump must supply equals the amount of head lost due to frcton and the elevaton gan of 100 ft, for a total of 175. ft. The power requrement s therefore: lb ft 1 hp P= γ Q h tot = ( 175. ft) = 49.7 hp ft s 550 ft-lb/s The HGL begns at the water surface and drops below the surface as soon as the water enters the ppe (due to the energy loss at the entrance and the ncreased velocty). The drop n the HGL due to the velocty ncrease s V /g, or: V 7.16 ft/s 0.80 ft g =. ft/s = 6
7 If the entrance has a sharp edge, an addtonal one-half velocty head (~0.4 ft) s lost. From there, the HGL drops farther as the water flows toward the pump, due to frcton. The frctonal loss n ths porton of the ppe s one-thrd of the total h L (1000 ft/000 ft), or 5.1 ft, so the HGL s 6. ft (computed as ) below the reservor surface when the water reaches the pump. At the pump, 175. ft of head s added to the water, so the HGL rses to approxmately 50.1 ft above the second (upper) reservor. From there, t drops steadly to the surface of the second reservor. The EL s at the same level as the HGL n the frst reservor and drops when the water frst enters the ppe, but not as much as the HGL (snce the only drop n the EL s due to the entrance effect)., so t s 0.80 ft above the HGL at that pont. From there on, t remans slghtly 0.8 ft above the HGL untl the water dscharges nto the upper reservor. At that pont, energy s dsspated and the EL drops to the level of the reservor, whch s also the level of the HGL. The HGL and EL concde at both reservor surfaces, slghtly away from the regon where the water enters/leaves. Snce the ppe s just 10 ft below the surface of the lower reservor, the HGL drops substantally below the ppe approachng the pump, so there s negatve pressure n approxmately the latter two-thrds of ths ppe. HGL EL P 7
8 6. Applyng the energy equaton between the surfaces of the two pools of water, we fnd: p 1 γ + V1 z + p 1 = g γ V + z + + hl g z1 z = hl The headloss s: so: V LV V hl = hl, entrance + hl, ppe + hl, ext = f g d g g 50 ft V 50 ft = /1 ft. ft/s. ft/s 50 ft V = = 0. ft/s 50 ft /1 ft The pressure s zero at the top of the upper pool of water and then ncreases as the elevaton decreases. At the entrance to the ppe, some pressure head s lost to frcton, and some s converted to velocty head. The amounts of pressure head converted to velocty head and lost due to frcton at that pont are: ( 0. ft/s) Velocty head = = 14.6 ft. ft/s V hl, entrance = 0.5 = 0.5( 14.6 ft) = 7.1 ft g Total loss of pressure head = ( ) ft = 1.9 ft Because the pressure head s 5 ft before the water enters the ppe, and t drops by 1.9 ft mmedately thereafter, the net pressure head s 16.9 ft just nsde the ppe, at the top. The headloss due to frcton n the ppe s: LV 50 ft = = 0.0 ( 14.6 ft) = 8.5 ft 0.5 ft hlppe, f d g 8
9 Ths frctonal headloss corresponds to a loss of a lttle more than 0.5 ft/ft. Snce the water s smultaneously ganng 1 ft of pressure head per ft traveled due to the elevaton loss, the net pressure ncreases as elevaton decreases. Therefore, the pont of mnmum energy s just after the water has entered the ppe. The pressure head at that pont s 16.9 ft, as noted above. Convertng ths value to an absolute pressure, we fnd: p p = p + p = γ + p γ mn mn, absolute mn, gage atm atm lb 1 ft = 6.4 ( 16.9 ft) 14.7 ps 7.60 ps + =+ ft 144 n Snce the vapor pressure of water at 70 o F s 0.06 ps, cavtaton wll not occur. 7. Ppe # s a part of all three loops, and ppe # s a part of loop I only. The correctons to the flow rates n the three loops can therefore be computed as follows: hl, QI = = = hl, Q 1 hl, QII = = = 1.50 hl, Q hl, QIII = = = hl, Q Defnng postve flow n ppe # to be from rght to left (clockwse for loop #1), the correcton to the flow n that ppe equals: Q =+ QI QII QIII = = Defnng postve flow n ppe # to be from lower left to upper rght (also clockwse for loop #1), the correcton to the flow n that ppe equals: Q =+ Q I =
10 The new guesses for the flow rates are therefore: In ppe : In ppe : = cfs (flow from rght to left) =.9 cfs (flow from upper rght to lower left) 10
SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:
SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and
More informationSection 5.4 Annuities, Present Value, and Amortization
Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today
More information21 Vectors: The Cross Product & Torque
21 Vectors: The Cross Product & Torque Do not use our left hand when applng ether the rght-hand rule for the cross product of two vectors dscussed n ths chapter or the rght-hand rule for somethng curl
More informationSIMPLE LINEAR CORRELATION
SIMPLE LINEAR CORRELATION Smple lnear correlaton s a measure of the degree to whch two varables vary together, or a measure of the ntensty of the assocaton between two varables. Correlaton often s abused.
More informationwhere the coordinates are related to those in the old frame as follows.
Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product
More informationFaraday's Law of Induction
Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy
More informationCausal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting
Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of
More informationRotation Kinematics, Moment of Inertia, and Torque
Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute
More informationBERNSTEIN POLYNOMIALS
On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful
More informationCHAPTER 8 Potential Energy and Conservation of Energy
CHAPTER 8 Potental Energy and Conservaton o Energy One orm o energy can be converted nto another orm o energy. Conservatve and non-conservatve orces Physcs 1 Knetc energy: Potental energy: Energy assocated
More informationA machine vision approach for detecting and inspecting circular parts
A machne vson approach for detectng and nspectng crcular parts Du-Mng Tsa Machne Vson Lab. Department of Industral Engneerng and Management Yuan-Ze Unversty, Chung-L, Tawan, R.O.C. E-mal: edmtsa@saturn.yzu.edu.tw
More informationAnswer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy
4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.
More informationCHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES
CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES In ths chapter, we wll learn how to descrbe the relatonshp between two quanttatve varables. Remember (from Chapter 2) that the terms quanttatve varable
More informationModule 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..
More informationTexas Instruments 30X IIS Calculator
Texas Instruments 30X IIS Calculator Keystrokes for the TI-30X IIS are shown for a few topcs n whch keystrokes are unque. Start by readng the Quk Start secton. Then, before begnnng a specfc unt of the
More informationCalculation of Sampling Weights
Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample
More informationAn Alternative Way to Measure Private Equity Performance
An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate
More informationbenefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).
REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or
More informationInstitute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic
Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange
More information7.5. Present Value of an Annuity. Investigate
7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on
More information+ + + - - This circuit than can be reduced to a planar circuit
MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to
More informationHow To Calculate The Accountng Perod Of Nequalty
Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.
More information1. Measuring association using correlation and regression
How to measure assocaton I: Correlaton. 1. Measurng assocaton usng correlaton and regresson We often would lke to know how one varable, such as a mother's weght, s related to another varable, such as a
More informationSection 5.3 Annuities, Future Value, and Sinking Funds
Secton 5.3 Annutes, Future Value, and Snkng Funds Ordnary Annutes A sequence of equal payments made at equal perods of tme s called an annuty. The tme between payments s the payment perod, and the tme
More informationLecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression.
Lecture 3: Annuty Goals: Learn contnuous annuty and perpetuty. Study annutes whose payments form a geometrc progresson or a arthmetc progresson. Dscuss yeld rates. Introduce Amortzaton Suggested Textbook
More informationThe OC Curve of Attribute Acceptance Plans
The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4
More informationLinear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits
Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.
More informationLeast Squares Fitting of Data
Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2016. All Rghts Reserved. Created: July 15, 1999 Last Modfed: January 5, 2015 Contents 1 Lnear Fttng
More informationPSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12
14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed
More informationWhat is Candidate Sampling
What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble
More information8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by
6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng
More informationImplementation of Deutsch's Algorithm Using Mathcad
Implementaton of Deutsch's Algorthm Usng Mathcad Frank Roux The followng s a Mathcad mplementaton of Davd Deutsch's quantum computer prototype as presented on pages - n "Machnes, Logc and Quantum Physcs"
More informationLecture 3: Force of Interest, Real Interest Rate, Annuity
Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and
More informationProblem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative.
Queston roblem Set 3 a) We are asked how people wll react, f the nterest rate on bonds s negatve. When
More informationDEFINING %COMPLETE IN MICROSOFT PROJECT
CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,
More informationGoals Rotational quantities as vectors. Math: Cross Product. Angular momentum
Physcs 106 Week 5 Torque and Angular Momentum as Vectors SJ 7thEd.: Chap 11.2 to 3 Rotatonal quanttes as vectors Cross product Torque expressed as a vector Angular momentum defned Angular momentum as a
More informationn + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2)
MATH 16T Exam 1 : Part I (In-Class) Solutons 1. (0 pts) A pggy bank contans 4 cons, all of whch are nckels (5 ), dmes (10 ) or quarters (5 ). The pggy bank also contans a con of each denomnaton. The total
More informationConversion between the vector and raster data structures using Fuzzy Geographical Entities
Converson between the vector and raster data structures usng Fuzzy Geographcal Enttes Cdála Fonte Department of Mathematcs Faculty of Scences and Technology Unversty of Combra, Apartado 38, 3 454 Combra,
More informationDescription of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t
Indeternate Analyss Force Method The force (flexblty) ethod expresses the relatonshps between dsplaceents and forces that exst n a structure. Prary objectve of the force ethod s to deterne the chosen set
More informationSolution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.
Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces
More informationRotation and Conservation of Angular Momentum
Chapter 4. Rotaton and Conservaton of Angular Momentum Notes: Most of the materal n ths chapter s taken from Young and Freedman, Chaps. 9 and 0. 4. Angular Velocty and Acceleraton We have already brefly
More informationHow Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence
1 st Internatonal Symposum on Imprecse Probabltes and Ther Applcatons, Ghent, Belgum, 29 June 2 July 1999 How Sets of Coherent Probabltes May Serve as Models for Degrees of Incoherence Mar J. Schervsh
More informationNumber of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000
Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from
More informationCHAPTER 14 MORE ABOUT REGRESSION
CHAPTER 14 MORE ABOUT REGRESSION We learned n Chapter 5 that often a straght lne descrbes the pattern of a relatonshp between two quanttatve varables. For nstance, n Example 5.1 we explored the relatonshp
More informationIDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS
IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS Chrs Deeley* Last revsed: September 22, 200 * Chrs Deeley s a Senor Lecturer n the School of Accountng, Charles Sturt Unversty,
More informationFINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals
FINANCIAL MATHEMATICS A Practcal Gude for Actuares and other Busness Professonals Second Edton CHRIS RUCKMAN, FSA, MAAA JOE FRANCIS, FSA, MAAA, CFA Study Notes Prepared by Kevn Shand, FSA, FCIA Assstant
More informations s f h s s SPH3UW Unit 7.7 Concave Lens Page 1 of 7 Notes Properties of a Converging Lens
SPH3UW Unt 7.7 Cncave Lens Page 1 f 7 Ntes Physcs Tl bx Thn Lens s an ptcal system wth tw refractng surfaces. The mst smplest thn lens cntan tw sphercal surfaces that are clse enugh tgether that we can
More informationRecurrence. 1 Definitions and main statements
Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.
More information1 Example 1: Axis-aligned rectangles
COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton
More informationMathematics of Finance
5 Mathematcs of Fnance 5.1 Smple and Compound Interest 5.2 Future Value of an Annuty 5.3 Present Value of an Annuty;Amortzaton Chapter 5 Revew Extended Applcaton:Tme, Money, and Polynomals Buyng a car
More informationRisk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008
Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn
More informationActuator forces in CFD: RANS and LES modeling in OpenFOAM
Home Search Collectons Journals About Contact us My IOPscence Actuator forces n CFD: RANS and LES modelng n OpenFOAM Ths content has been downloaded from IOPscence. Please scroll down to see the full text.
More informationThe Mathematical Derivation of Least Squares
Pscholog 885 Prof. Federco The Mathematcal Dervaton of Least Squares Back when the powers that e forced ou to learn matr algera and calculus, I et ou all asked ourself the age-old queston: When the hell
More informationDamage detection in composite laminates using coin-tap method
Damage detecton n composte lamnates usng con-tap method S.J. Km Korea Aerospace Research Insttute, 45 Eoeun-Dong, Youseong-Gu, 35-333 Daejeon, Republc of Korea yaeln@kar.re.kr 45 The con-tap test has the
More informationTime Value of Money Module
Tme Value of Money Module O BJECTIVES After readng ths Module, you wll be able to: Understand smple nterest and compound nterest. 2 Compute and use the future value of a sngle sum. 3 Compute and use the
More informationCHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol
CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL
More informationWe assume your students are learning about self-regulation (how to change how alert they feel) through the Alert Program with its three stages:
Welcome to ALERT BINGO, a fun-flled and educatonal way to learn the fve ways to change engnes levels (Put somethng n your Mouth, Move, Touch, Look, and Lsten) as descrbed n the How Does Your Engne Run?
More informationPERRON FROBENIUS THEOREM
PERRON FROBENIUS THEOREM R. CLARK ROBINSON Defnton. A n n matrx M wth real entres m, s called a stochastc matrx provded () all the entres m satsfy 0 m, () each of the columns sum to one, m = for all, ()
More informationSite Plan / Survey Scale: 1/16" = 1'-0" 246 Ellis Ave Design Study
Proposed addtons 75 m rear yard setback sdeyard setback Lot area = 4290 sf Allowable GFA = 35% of Lot area = 1501 sf sdeyard setback Exstng house 1450 sf (approx) 55'-9" Max Buldng Length [17] Ste Plan
More informationChapter 11 Torque and Angular Momentum
Chapter 11 Torque and Angular Momentum I. Torque II. Angular momentum - Defnton III. Newton s second law n angular form IV. Angular momentum - System of partcles - Rgd body - Conservaton I. Torque - Vector
More informationNPAR TESTS. One-Sample Chi-Square Test. Cell Specification. Observed Frequencies 1O i 6. Expected Frequencies 1EXP i 6
PAR TESTS If a WEIGHT varable s specfed, t s used to replcate a case as many tmes as ndcated by the weght value rounded to the nearest nteger. If the workspace requrements are exceeded and samplng has
More informationLoop Parallelization
- - Loop Parallelzaton C-52 Complaton steps: nested loops operatng on arrays, sequentell executon of teraton space DECLARE B[..,..+] FOR I :=.. FOR J :=.. I B[I,J] := B[I-,J]+B[I-,J-] ED FOR ED FOR analyze
More informationRESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.
ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract
More informationCalculating the high frequency transmission line parameters of power cables
< ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,
More informationBrigid Mullany, Ph.D University of North Carolina, Charlotte
Evaluaton And Comparson Of The Dfferent Standards Used To Defne The Postonal Accuracy And Repeatablty Of Numercally Controlled Machnng Center Axes Brgd Mullany, Ph.D Unversty of North Carolna, Charlotte
More informationChapter 9. Linear Momentum and Collisions
Chapter 9 Lnear Momentum and Collsons CHAPTER OUTLINE 9.1 Lnear Momentum and Its Conservaton 9.2 Impulse and Momentum 9.3 Collsons n One Dmenson 9.4 Two-Dmensonal Collsons 9.5 The Center of Mass 9.6 Moton
More informationHALL EFFECT SENSORS AND COMMUTATION
OEM770 5 Hall Effect ensors H P T E R 5 Hall Effect ensors The OEM770 works wth three-phase brushless motors equpped wth Hall effect sensors or equvalent feedback sgnals. In ths chapter we wll explan how
More informationMathematics of Finance
CHAPTER 5 Mathematcs of Fnance 5.1 Smple and Compound Interest 5.2 Future Value of an Annuty 5.3 Present Value of an Annuty; Amortzaton Revew Exercses Extended Applcaton: Tme, Money, and Polynomals Buyng
More informationChapter 12 Inductors and AC Circuits
hapter Inductors and A rcuts awrence B. ees 6. You may make a sngle copy of ths document for personal use wthout wrtten permsson. Hstory oncepts from prevous physcs and math courses that you wll need for
More informationtotal A A reag total A A r eag
hapter 5 Standardzng nalytcal Methods hapter Overvew 5 nalytcal Standards 5B albratng the Sgnal (S total ) 5 Determnng the Senstvty (k ) 5D Lnear Regresson and albraton urves 5E ompensatng for the Reagent
More informationActivity Scheduling for Cost-Time Investment Optimization in Project Management
PROJECT MANAGEMENT 4 th Internatonal Conference on Industral Engneerng and Industral Management XIV Congreso de Ingenería de Organzacón Donosta- San Sebastán, September 8 th -10 th 010 Actvty Schedulng
More informationThe circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are:
polar Juncton Transstor rcuts Voltage and Power Amplfer rcuts ommon mtter Amplfer The crcut shown on Fgure 1 s called the common emtter amplfer crcut. The mportant subsystems of ths crcut are: 1. The basng
More informationUsing Series to Analyze Financial Situations: Present Value
2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated
More informationSupport Vector Machines
Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.
More informationThe Greedy Method. Introduction. 0/1 Knapsack Problem
The Greedy Method Introducton We have completed data structures. We now are gong to look at algorthm desgn methods. Often we are lookng at optmzaton problems whose performance s exponental. For an optmzaton
More informationHÜCKEL MOLECULAR ORBITAL THEORY
1 HÜCKEL MOLECULAR ORBITAL THEORY In general, the vast maorty polyatomc molecules can be thought of as consstng of a collecton of two electron bonds between pars of atoms. So the qualtatve pcture of σ
More informationTo manage leave, meeting institutional requirements and treating individual staff members fairly and consistently.
Corporate Polces & Procedures Human Resources - Document CPP216 Leave Management Frst Produced: Current Verson: Past Revsons: Revew Cycle: Apples From: 09/09/09 26/10/12 09/09/09 3 years Immedately Authorsaton:
More informationExhaustive Regression. An Exploration of Regression-Based Data Mining Techniques Using Super Computation
Exhaustve Regresson An Exploraton of Regresson-Based Data Mnng Technques Usng Super Computaton Antony Daves, Ph.D. Assocate Professor of Economcs Duquesne Unversty Pttsburgh, PA 58 Research Fellow The
More informationMeasuring Ad Effectiveness Using Geo Experiments
Measurng Ad Effectveness Usng Geo Experments Jon Vaver, Jm Koehler Google Inc Abstract Advertsers have a fundamental need to quantfy the effectveness of ther advertsng For search ad spend, ths nformaton
More informationJet Engine. Figure 1 Jet engine
Jet Engne Prof. Dr. Mustafa Cavcar Anadolu Unversty, School of Cvl Avaton Esksehr, urkey GROSS HRUS INAKE MOMENUM DRAG NE HRUS Fgure 1 Jet engne he thrust for a turboet engne can be derved from Newton
More informationInner core mantle gravitational locking and the super-rotation of the inner core
Geophys. J. Int. (2010) 181, 806 817 do: 10.1111/j.1365-246X.2010.04563.x Inner core mantle gravtatonal lockng and the super-rotaton of the nner core Matheu Dumberry 1 and Jon Mound 2 1 Department of Physcs,
More informationTraffic-light a stress test for life insurance provisions
MEMORANDUM Date 006-09-7 Authors Bengt von Bahr, Göran Ronge Traffc-lght a stress test for lfe nsurance provsons Fnansnspetonen P.O. Box 6750 SE-113 85 Stocholm [Sveavägen 167] Tel +46 8 787 80 00 Fax
More informationGRAVITY DATA VALIDATION AND OUTLIER DETECTION USING L 1 -NORM
GRAVITY DATA VALIDATION AND OUTLIER DETECTION USING L 1 -NORM BARRIOT Jean-Perre, SARRAILH Mchel BGI/CNES 18.av.E.Beln 31401 TOULOUSE Cedex 4 (France) Emal: jean-perre.barrot@cnes.fr 1/Introducton The
More informationA Model of Private Equity Fund Compensation
A Model of Prvate Equty Fund Compensaton Wonho Wlson Cho Andrew Metrck Ayako Yasuda KAIST Yale School of Management Unversty of Calforna at Davs June 26, 2011 Abstract: Ths paper analyzes the economcs
More informationTwo Faces of Intra-Industry Information Transfers: Evidence from Management Earnings and Revenue Forecasts
Two Faces of Intra-Industry Informaton Transfers: Evdence from Management Earnngs and Revenue Forecasts Yongtae Km Leavey School of Busness Santa Clara Unversty Santa Clara, CA 95053-0380 TEL: (408) 554-4667,
More informationSimple Interest Loans (Section 5.1) :
Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part
More information"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *
Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC
More informationChapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT
Chapter 4 ECOOMIC DISATCH AD UIT COMMITMET ITRODUCTIO A power system has several power plants. Each power plant has several generatng unts. At any pont of tme, the total load n the system s met by the
More informationLuby s Alg. for Maximal Independent Sets using Pairwise Independence
Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent
More informationTECHNICAL NOTES 3. Hydraulic Classifiers
TECHNICAL NOTES 3 Hydraulc Classfers 3.1 Classfcaton Based on Dfferental Settlng - The Hydrocyclone 3.1.1 General prncples of the operaton of the hydrocyclone The prncple of operaton of the hydrocyclone
More information1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)
6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes
More informationHosted Voice Self Service Installation Guide
Hosted Voce Self Servce Installaton Gude Contact us at 1-877-355-1501 learnmore@elnk.com www.earthlnk.com 2015 EarthLnk. Trademarks are property of ther respectve owners. All rghts reserved. 1071-07629
More informationProject Networks With Mixed-Time Constraints
Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa
More informationA Computer Program for Flow-Log Analysis of Single Holes (FLASH)
Fnal copy as submtted to Ground Water for publcaton as: Day-Lews, F.D., Johnson, C. D., Pallet, F.L., and Halford, K.J., 2011, A computer program for flow-log analyss of sngle holes (FLASH): Ground Water,
More informationUniversity Physics AI No. 11 Kinetic Theory
Unersty hyscs AI No. 11 Knetc heory Class Number Name I.Choose the Correct Answer 1. Whch type o deal gas wll hae the largest alue or C -C? ( D (A Monatomc (B Datomc (C olyatomc (D he alue wll be the same
More informationShielding Equations and Buildup Factors Explained
Sheldng Equatons and uldup Factors Explaned Gamma Exposure Fluence Rate Equatons For an explanaton of the fluence rate equatons used n the unshelded and shelded calculatons, vst ths US Health Physcs Socety
More informationAn Interest-Oriented Network Evolution Mechanism for Online Communities
An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne
More informationHow To Understand The Results Of The German Meris Cloud And Water Vapour Product
Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller
More informationLogical Development Of Vogel s Approximation Method (LD-VAM): An Approach To Find Basic Feasible Solution Of Transportation Problem
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME, ISSUE, FEBRUARY ISSN 77-866 Logcal Development Of Vogel s Approxmaton Method (LD- An Approach To Fnd Basc Feasble Soluton Of Transportaton
More informationAn Overview of Financial Mathematics
An Overvew of Fnancal Mathematcs Wllam Benedct McCartney July 2012 Abstract Ths document s meant to be a quck ntroducton to nterest theory. It s wrtten specfcally for actuaral students preparng to take
More information