ERTH403/HYD503, NM Tech Fall 2006
|
|
- Amos Riley
- 5 years ago
- Views:
Transcription
1 ERTH43/HYD53, NM Tech Fall 6 Variation from normal rawown hyrograph Unconfine aquifer figure from Krueman an e Rier (99) Variation from normal rawown hyrograph Unconfine aquifer Early time: when pumping tart, rawown ha not reache the water table; water come from elatic torage only (S ) Hyrology Program, Prof. J. Wilon
2 ERTH43/HYD53, NM Tech Fall 6 Variation from normal rawown hyrograph Unconfine aquifer Intermeiate time: now, a moving water table i being raine (S y ); there i a trong 3-D component to flow The vertical flow component mean that more energy i require to get water out of the aquifer flowpath are longer 3 Variation from normal rawown hyrograph Unconfine aquifer Late time: now, mot water i coming from far away from the well; large annular area mean a mall rawown will yiel a lot of water Flow i now cloe to -D Jacob-type flow (or Thei flow) but torage i till from S y 4 Hyrology Program, Prof. J. Wilon
3 ERTH43/HYD53, NM Tech Fall 6 Variation from normal rawown hyrograph Unconfine aquifer Slope are etermine by T; intercept are etermine by S t o early S = -4 t o late S = - bae figure from Krueman an e Rier (99) 5 Variation from normal rawown hyrograph Leakage Flow through aquitar i common An aquifer receiving leakage i a emi-confine aquifer or [ leaky aquifer ] 6 Hyrology Program, Prof. J. Wilon 3
4 ERTH43/HYD53, NM Tech Fall 6 Variation from normal rawown hyrograph Leakage figure from Krueman an e Rier (99) 7 Variation from normal rawown hyrograph Partial penetration (Dawon an Itok, 99) 8 Hyrology Program, Prof. J. Wilon 4
5 ERTH43/HYD53, NM Tech Fall 6 Variation from normal rawown hyrograph Partial penetration (Krueman an e Rier, 99) 9 Variation from normal rawown hyrograph Large iameter well The pecific yiel (even in a confine aquifer, a pumping well mut be open to the atmophere) of a well bore i eentially ; thi high torage term reult in well bore torage effect the water prouce in early time i coming mainly from tore water in the well bore, not inflow to the well bore from the aquifer If T i low, S i very low, or Q i very high, even a mall well bore can be large At low T, well bore above ~ cm can how torage effect; at high T, a well might have to be over.5 m in iameter before torage effect are oberve Hyrology Program, Prof. J. Wilon 5
6 ERTH43/HYD53, NM Tech Fall 6 Variation from normal rawown hyrograph Large iameter well (Krueman an e Rier, 99) Variation from normal rawown hyrograph Bounary effect (Krueman an e Rier, 99) Hyrology Program, Prof. J. Wilon 6
7 ERTH43/HYD53, NM Tech Fall 6 Variation from normal rawown hyrograph In-well pumping tet It bet to avoi uing ata collecte in the pumping well can be ifficult to get meauring intrument in ata can be ba coul amage pump or meauring equipment permeability ajacent to the well bore can be very ifferent than in the bulk of the aquifer bentonite clay kin of low permeability gravel pack well creen 3 Variation from normal rawown hyrograph Skin effect kin or poor creen gravel pack or very well evelope well bae figure from Krueman an e Rier (99) Can get T (lope i fine), but etimate of S will be off you houl never try to etimate S from a pumping well 4 Hyrology Program, Prof. J. Wilon 7
8 ERTH43/HYD53, NM Tech Fall 6 Toay Superpoition Superpoition Image Well Theory Well Tet Analyi Charle Harvey, MIT 5 Motivation: How will the aquifer repon to pumping at a ifferent rate from the ame well? to injection at a contant rate through the ame well? if the pumping rate varie in time? If there are two or more well pumping or injecting at ifferent location? How can we ue the anwer to thee quetion to interpret well tet for moel iagnotic an parameter etimation? For example: Variable pumping rate epecially Recovery Tet Effect of aquifer bounarie Epecially lateral tream an barrier bounarie 6 Hyrology Program, Prof. J. Wilon 8
9 ERTH43/HYD53, NM Tech Fall 6 Linearity The anwer to thee an other quetion relie on the concept of linearity We uperpoe the effect of each event or well eparately, an then um their effect. Many problem of well hyraulic, an inee of grounwater hyrology in general, can be coniere eentially linear an olve via uperpoition. It a very ueful concept But houl be tete to ee if the ytem i actually behaving approximately linear. Teting linearity i not a ubject of thi cla. 7 Reminer: Linear Moel Recall the concept of an operator L( ) Given contant a & b tate (epenent variable) & then an operator L( ) i linear iff L( L( a L( a + + b ) = a L( ) ) = L( ) = a L( '( ) T ' & eg, L( ) = S ( ' ' $ r t r r % ) + L( ) ) + b L( ) '( )# ' r! " 8 Hyrology Program, Prof. J. Wilon 9
10 ERTH43/HYD53, NM Tech Fall 6 Example application of Linear Moel Rule Let & be the rawown ue to unit (e.g. m 3 /) pumping at each of two well, Let contant a & b, repectively, repreent the multiplier to fin the actual pumping rate at each well. Then the total rawown r ue to pumping rate a at welli = a ue to unit pumping at the two well i = ue to arbitrary pumping at the two well i = a + + b r Pumping well Pumping well Point of interet 9 Define i a the rawown caue by a ingle well, well inex i, ay ue to a unit pumping rate (eg, Q=Q u =m 3 /) i ometime calle the influence or repone function. Let illutrate how we ue linearity to anwer our quetionfor well hyraulic where the repone of an aquifer to pumping by a well at a contant rate i ecribe by the Thei moel, or it Cooper-Jacob logarithmic approximation. Moel Due to linearity: Drawown ue to arbitrary pumping at two well i = a + b Q Q = W ( u) + W ( u ) 4! T 4! T aqu bqu = W ( u) + W ( u ) 4! T 4! T Mot of what follow can be generalize to other aquifer/well moel; you can fin thi in your text an variou reference. where : r S r S u = ; u = 4Tt 4Tt r, r = itance to well&, repectively r r Pumping well Pumping well Point of interet Hyrology Program, Prof. J. Wilon
11 ERTH43/HYD53, NM Tech Fall 6 Anwer to quetion: How will the aquifer repon to pumping at a ifferent rate from the ame well? to injection at a contant rate through the ame well? aqu = W ( u) 4! T $ Qu = W ( u) 4! T We ll take a look at a imple verion of thi problem, tep change in pumping, not involving a convolution integral. if the pumping rate varie in time? If there are two or more well pumping or injecting at ifferent location? = 4! T r S # W ( ) t 4T ( t $ " ) Q( " ) " # t % aqu bqu = W ( u) + W ( u ) 4! T 4! T Varying pumping rate Can be hanle by uperpoing pumping an injection in our well o a to recreate the eire pumping hitory. In practice aume pumping hitory i piecewie contant, i.e. tep change in pumping rate. Suppoe, e.g.: Q =, t<, Q = Q, <t <t, pumping perio Q = Q, t <t, pumping perio where Q an Q are, repectively, contant pumping rate uring the two pumping perio. Q Q Q t t Then uperpoe rawown. Thi i mot clearly een in the imple cae of a recovery tet (next lie). t t Hyrology Program, Prof. J. Wilon
12 ERTH43/HYD53, NM Tech Fall 6 Well Tet Analyi: How can we ue the anwer to thee quetion to interpret well tet for moel iagnotic an parameter etimation? For example: Variable pumping rate epecially Recovery Tet Effect of aquifer bounarie epecially lateral tream an barrier bounarie Q What happen when we hut off a well that ha been pumping? Doe rawown recover intantly? t t? 3 Recovery Tet For a realitic recovery moel, we ue uperpoition. Preten the well keep pumping at the ame contant rate +Q, but, at the time it hut off a an imaginary well injecting water into the aquifer at contant rate Q at the ame location; ue uperpoition to a the reult. Becaue Q + -Q = for t >, we are moeling the ituation where then Q=. (Freeze an Cherry, 979) 4 Hyrology Program, Prof. J. Wilon
13 ERTH43/HYD53, NM Tech Fall 6 Recovery Tet t - Harvey, MIT 5 Recovery Tet Recovery tet can be important, a there i no problem maintaining a contant pumping rate. Uing emilog moel, the forwar moel i: Time < t Q &.5T t # = ln$! 4' T % r S " Time < t Superpoing olution: = + Q &,.5T t ),.5T t' )# = $ ln* ' - ln * ' 4. T! % + r S ( + r S (" total pumping " injection" total Q & t # = ln$! 4 ' T % t' " t: time ince pumping tarte t : time ince pumping toppe 6 Hyrology Program, Prof. J. Wilon 3
14 ERTH43/HYD53, NM Tech Fall 6 Inverion: total Q & t # = ln$! 4 ' T % t' ".3Q & t # T = log$! 4' % t' " Recovery Tet To be ue with emilog plot: T =.3 Q $ log t ' & ) =.3 Q 4 " # lc % t' ( 4 " # lc Q & t # T = ln$! 4' % t' " late time log (t/t ) When the pump i hut off, t/t =! While at very large time, t/t! early time The curve line at early time i ue to the fact that the injection well ha u >.. 7 Multiple Well If there are two or more well, ay with well number inex ( ) i an each pumping at (time varying) rate Q i then (t) = (t)+ (t) + 3 (t)+ =! i which work if each of the Q i are contant or if they are time varying Q i (t) with ifferent time hitorie. If the pumping rate are contant wrt time then the rawown i given by Q Q Q3 = W ( u) + W ( u) + W ( u3) " T 4" T 4" T ri S ui = ; toi = tart time for well i 4T ( t! t ) oi r r Pumping well Pumping well Point of interet 8 Hyrology Program, Prof. J. Wilon 4
15 ERTH43/HYD53, NM Tech Fall 6 Image Well Theory With multiple well, not all of the well nee be real. We can ue the concept of virtual or image well to uperpoe rawown in orer to mimic Dirichlet an Neumann bounary conition. -Q(t) image well Q(t) real well contant hea bounary 9 How woul repreent a traight line contant hea Dirichlet bounary locate a itance from the pumping well? If the well i pumping at rate Q(t)=Q (t), cauing rawown (t)= (t), then place a mirrior image injection well, injecting at the ame rate Q (t) = - Q (t), at a itance on the other ie of the bounary, cauing rawown (t) = - (t) [ie, with rawup (t)]. Then (t)= (t)+ (t) Often calle a recharge bounary -Q(t) image well Along the bounary, where r =r, the rawown from well i balance by the rawup from well, uch that (t)=, preerving the contant hea BC. contant hea bounary Q, &.5T t # &.5T t #) Q & r # = real + image. * ln $! - ln $!' = ln $! 4 / T + % r S " % r S "( / T % r " Q(t) real well 3 Hyrology Program, Prof. J. Wilon 5
16 ERTH43/HYD53, NM Tech Fall 6 How woul repreent a traight line contant hea Dirichlet bounary locate a itance from the pumping well? -Q(t) Q(t) image well real well contant hea bounary (Freeze an Cherry, 979) 3 How woul repreent a traight line no-flux Dirichlet bounary locate a itance from the pumping well? If the real well i pumping at rate Q(t)=Q r (t), where r = real, cauing rawown (t)= r (t), Often calle a barrier bounary then place a mirrior image pumping well, pumping at the ame rate Q i (t)= Q(t) = +Q r (t), where i = image, at a itance on the other ie of the bounary, cauing rawown i (t) Then (t)= r (t)+ i (t) Along the bounary, where r r =r i, the graient from real well i balance by the graient from image well, uch that!/!x=, preerving the no flux BC. Q(t) image well Q(t) real well Uing the emilog moel: = + Q &,.5T t ),.5T t )# - $ ln * ' + ln * '! 4. T % + r S ( + ri S (" real image no flow bounary y x 3 Hyrology Program, Prof. J. Wilon 6
17 ERTH43/HYD53, NM Tech Fall 6 How woul repreent a traight line no-flux Dirichlet bounary locate a itance from the pumping well? Q(t) Q(t) image well real well (Freeze an Cherry, 979) (Schwartz an Zhang, 3) no flow bounary y x 33 How woul repreent a traight line no-flux Dirichlet bounary locate a itance from the pumping well? image well Q(t) no flow bounary Q(t) real well (De Wiet, 965) 34 Hyrology Program, Prof. J. Wilon 7
18 ERTH43/HYD53, NM Tech Fall 6 What about other geometrie? You can ue image well in other geometric pattern to mimic more complex geometric omain (ee e.g., Bear, 97) Well near a corner : Image pumping well Real pumping well Image pumping well Image pumping well 35 Well Tet Analyi with Bounarie How can we ue imagewell theory to interpret well tet? For example: Variable pumping rate epecially Recovery Tet Effect of aquifer bounarie epecially lateral tream an barrier bounarie Previou clae: the well-tet equation mae the aumption that the aquifer i of infinite horizontal extent. We ue image well theory to hanle nearby bounarie. The image well reult can be repreente in log-log, emilog, an erivative plot an ue to iagnoe the preence of ifferent type of BC, an to etimate their parameter, uch a itance above, a well a T an S. 36 Hyrology Program, Prof. J. Wilon 8
19 ERTH43/HYD53, NM Tech Fall 6 Contant hea or recharge bounary Well Tet Analyi with Bounarie log t Influence of recharge bounary = real + image Q & r # ' ln $! ( T % r " Barrier or no-flow bounary = + Slope = m log t Influence of barrier bounary Slope = m Q &,.5T t ),.5T t )# - $ ln * ' + ln * '! 4. T % + r S ( + ri S (" real image 37 Well Tet Analyi with Bounarie How far to the bounary? We pick o that R = I R = I = Q 4"T ln.5tt R r R S Q 4"T ln.5tt I r I S log t " ln.5tt R r R S =.5Tt I r I S " r I = r R $ # t I t R % ' & " t R r R = t I r I log t 38 Hyrology Program, Prof. J. Wilon 9
20 ERTH43/HYD53, NM Tech Fall 6 Well Tet Analyi with Bounarie Where i the bounary locate? obervation well Q real pumping well obervation well 39 Hyrology Program, Prof. J. Wilon
2.0 ANALYTICAL MODELS OF THERMAL EXCHANGES IN THE PYRANOMETER
2.0 ANAYTICA MODE OF THERMA EXCHANGE IN THE PYRANOMETER In Chapter 1, it wa etablihe that a better unertaning of the thermal exchange within the intrument i neceary to efine the quantitie proucing an offet.
More informationSocial Studies 201 Notes for March 18, 2005
1 Social Studie 201 Note for March 18, 2005 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the
More informationUniversity Courses on Svalbard. AT-204 Thermo-Mechanical Properties of Materials, 3 vt, 9 ECTS EXAMINATION SUGGESTED SOLUTION (PROBLEM SETS 2 AND 3)
Page 1 of 7 Univerity Coure on Svalbar AT-204 Thermo-Mechanical Propertie of Material, 3 vt, 9 ECTS EXAMINATION SUGGESTED SOLUTION (PROBLEM SETS 2 AND 3) May 29, 2001, hour: 09.00-13.00 Reponible: Sveinung
More informationActuarial Models 1: solutions example sheet 4
Actuarial Moel 1: olution example heet 4 (a) Anwer to Exercie 4.1 Q ( e u ) e σ σ u η η. (b) The forwar equation correponing to the backwar tate e are t p ee(t) σp ee (t) + ηp eu (t) t p eu(t) σp ee (t)
More informationSocial Studies 201 Notes for November 14, 2003
1 Social Studie 201 Note for November 14, 2003 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the
More informationSuggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall
Beyond Significance Teting ( nd Edition), Rex B. Kline Suggeted Anwer To Exercie Chapter. The tatitic meaure variability among core at the cae level. In a normal ditribution, about 68% of the core fall
More information7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281
72 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 28 and i 2 Show how Euler formula (page 33) can then be ued to deduce the reult a ( a) 2 b 2 {e at co bt} {e at in bt} b ( a) 2 b 2 5 Under what condition
More informationWhat lies between Δx E, which represents the steam valve, and ΔP M, which is the mechanical power into the synchronous machine?
A 2.0 Introduction In the lat et of note, we developed a model of the peed governing mechanim, which i given below: xˆ K ( Pˆ ˆ) E () In thee note, we want to extend thi model o that it relate the actual
More informationBogoliubov Transformation in Classical Mechanics
Bogoliubov Tranformation in Claical Mechanic Canonical Tranformation Suppoe we have a et of complex canonical variable, {a j }, and would like to conider another et of variable, {b }, b b ({a j }). How
More informationComparing Means: t-tests for Two Independent Samples
Comparing ean: t-tet for Two Independent Sample Independent-eaure Deign t-tet for Two Independent Sample Allow reearcher to evaluate the mean difference between two population uing data from two eparate
More informationLecture 8: Period Finding: Simon s Problem over Z N
Quantum Computation (CMU 8-859BB, Fall 205) Lecture 8: Period Finding: Simon Problem over Z October 5, 205 Lecturer: John Wright Scribe: icola Rech Problem A mentioned previouly, period finding i a rephraing
More informationModule: 8 Lecture: 1
Moule: 8 Lecture: 1 Energy iipate by amping Uually amping i preent in all ocillatory ytem. It effect i to remove energy from the ytem. Energy in a vibrating ytem i either iipate into heat oun or raiate
More informationPhysics 741 Graduate Quantum Mechanics 1 Solutions to Final Exam, Fall 2014
Phyic 7 Graduate Quantum Mechanic Solution to inal Eam all 0 Each quetion i worth 5 point with point for each part marked eparately Some poibly ueful formula appear at the end of the tet In four dimenion
More informationS_LOOP: SINGLE-LOOP FEEDBACK CONTROL SYSTEM ANALYSIS
S_LOOP: SINGLE-LOOP FEEDBACK CONTROL SYSTEM ANALYSIS by Michelle Gretzinger, Daniel Zyngier and Thoma Marlin INTRODUCTION One of the challenge to the engineer learning proce control i relating theoretical
More informationControl Systems Analysis and Design by the Root-Locus Method
6 Control Sytem Analyi and Deign by the Root-Locu Method 6 1 INTRODUCTION The baic characteritic of the tranient repone of a cloed-loop ytem i cloely related to the location of the cloed-loop pole. If
More informationAdelic Modular Forms
Aelic Moular Form October 3, 20 Motivation Hecke theory i concerne with a family of finite-imenional vector pace S k (N, χ), inexe by weight, level, an character. The Hecke operator on uch pace alreay
More informationinto a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get
Lecture 25 Introduction to Some Matlab c2d Code in Relation to Sampled Sytem here are many way to convert a continuou time function, { h( t) ; t [0, )} into a dicrete time function { h ( k) ; k {0,,, }}
More informationCHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS
CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3
More informationLecture 9: Shor s Algorithm
Quantum Computation (CMU 8-859BB, Fall 05) Lecture 9: Shor Algorithm October 7, 05 Lecturer: Ryan O Donnell Scribe: Sidhanth Mohanty Overview Let u recall the period finding problem that wa et up a a function
More informationProblem Set 8 Solutions
Deign and Analyi of Algorithm April 29, 2015 Maachuett Intitute of Technology 6.046J/18.410J Prof. Erik Demaine, Srini Devada, and Nancy Lynch Problem Set 8 Solution Problem Set 8 Solution Thi problem
More informationIntroduction to Laplace Transform Techniques in Circuit Analysis
Unit 6 Introduction to Laplace Tranform Technique in Circuit Analyi In thi unit we conider the application of Laplace Tranform to circuit analyi. A relevant dicuion of the one-ided Laplace tranform i found
More informationAP Physics Charge Wrap up
AP Phyic Charge Wrap up Quite a few complicated euation for you to play with in thi unit. Here them babie i: F 1 4 0 1 r Thi i good old Coulomb law. You ue it to calculate the force exerted 1 by two charge
More informationGiven the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is
EE 4G Note: Chapter 6 Intructor: Cheung More about ZSR and ZIR. Finding unknown initial condition: Given the following circuit with unknown initial capacitor voltage v0: F v0/ / Input xt 0Ω Output yt -
More informationCorrection for Simple System Example and Notes on Laplace Transforms / Deviation Variables ECHE 550 Fall 2002
Correction for Simple Sytem Example and Note on Laplace Tranform / Deviation Variable ECHE 55 Fall 22 Conider a tank draining from an initial height of h o at time t =. With no flow into the tank (F in
More informationLTV System Modelling
Helinki Univerit of Technolog S-72.333 Potgraduate Coure in Radiocommunication Fall 2000 LTV Stem Modelling Heikki Lorentz Sonera Entrum O heikki.lorentz@onera.fi Januar 23 rd 200 Content. Introduction
More informationChapter 4. The Laplace Transform Method
Chapter 4. The Laplace Tranform Method The Laplace Tranform i a tranformation, meaning that it change a function into a new function. Actually, it i a linear tranformation, becaue it convert a linear combination
More informationSource slideplayer.com/fundamentals of Analytical Chemistry, F.J. Holler, S.R.Crouch. Chapter 6: Random Errors in Chemical Analysis
Source lideplayer.com/fundamental of Analytical Chemitry, F.J. Holler, S.R.Crouch Chapter 6: Random Error in Chemical Analyi Random error are preent in every meaurement no matter how careful the experimenter.
More informationEconS Advanced Microeconomics II Handout on Bayesian Nash Equilibrium
EconS 503 - Avance icroeconomic II Hanout on Bayeian Nah Equilibrium 1. WG 8.E.1 Conier the following trategic ituation. Two oppoe armie are poie to eize an ilan. Each army general can chooe either "attack"
More informationPHASE-FIELD SIMULATION OF SOLIDIFICATION WITH DENSITY CHANGE
Proceeing of IMECE04 004 ASME International Mechanical Engineering Congre an Epoition November 3-0, 004, Anaheim, California USA IMECE004-60875 PHASE-FIELD SIMULATION OF SOLIDIFICATION WITH DENSITY CHANGE
More informationDIFFERENTIAL EQUATIONS
DIFFERENTIAL EQUATIONS Laplace Tranform Paul Dawkin Table of Content Preface... Laplace Tranform... Introduction... The Definition... 5 Laplace Tranform... 9 Invere Laplace Tranform... Step Function...4
More informationChapter 2 Sampling and Quantization. In order to investigate sampling and quantization, the difference between analog
Chapter Sampling and Quantization.1 Analog and Digital Signal In order to invetigate ampling and quantization, the difference between analog and digital ignal mut be undertood. Analog ignal conit of continuou
More informationMath Skills. Scientific Notation. Uncertainty in Measurements. Appendix A5 SKILLS HANDBOOK
ppendix 5 Scientific Notation It i difficult to work with very large or very mall number when they are written in common decimal notation. Uually it i poible to accommodate uch number by changing the SI
More informationSaliency Modeling in Radial Flux Permanent Magnet Synchronous Machines
NORPIE 4, Tronheim, Norway Saliency Moeling in Raial Flux Permanent Magnet Synchronou Machine Abtract Senorle control of Permanent Magnet Synchronou Machine i popular for everal reaon: cot aving an ytem
More informationHSC PHYSICS ONLINE KINEMATICS EXPERIMENT
HSC PHYSICS ONLINE KINEMATICS EXPERIMENT RECTILINEAR MOTION WITH UNIFORM ACCELERATION Ball rolling down a ramp Aim To perform an experiment and do a detailed analyi of the numerical reult for the rectilinear
More informationLecture Notes II. As the reactor is well-mixed, the outlet stream concentration and temperature are identical with those in the tank.
Lecture Note II Example 6 Continuou Stirred-Tank Reactor (CSTR) Chemical reactor together with ma tranfer procee contitute an important part of chemical technologie. From a control point of view, reactor
More informationControl Systems Engineering ( Chapter 7. Steady-State Errors ) Prof. Kwang-Chun Ho Tel: Fax:
Control Sytem Engineering ( Chapter 7. Steady-State Error Prof. Kwang-Chun Ho kwangho@hanung.ac.kr Tel: 0-760-453 Fax:0-760-4435 Introduction In thi leon, you will learn the following : How to find the
More informationON ITERATIVE FEEDBACK TUNING AND DISTURBANCE REJECTION USING SIMPLE NOISE MODELS. Bo Wahlberg
ON ITERATIVE FEEDBACK TUNING AND DISTURBANCE REJECTION USING SIMPLE NOISE MODELS Bo Wahlberg S3 Automatic Control, KTH, SE 100 44 Stockholm, Sween. Email: bo.wahlberg@3.kth.e Abtract: The objective of
More informationμ + = σ = D 4 σ = D 3 σ = σ = All units in parts (a) and (b) are in V. (1) x chart: Center = μ = 0.75 UCL =
Our online Tutor are available 4*7 to provide Help with Proce control ytem Homework/Aignment or a long term Graduate/Undergraduate Proce control ytem Project. Our Tutor being experienced and proficient
More informationSolving Differential Equations by the Laplace Transform and by Numerical Methods
36CH_PHCalter_TechMath_95099 3//007 :8 PM Page Solving Differential Equation by the Laplace Tranform and by Numerical Method OBJECTIVES When you have completed thi chapter, you hould be able to: Find the
More informationLecture 10 Filtering: Applied Concepts
Lecture Filtering: Applied Concept In the previou two lecture, you have learned about finite-impule-repone (FIR) and infinite-impule-repone (IIR) filter. In thee lecture, we introduced the concept of filtering
More informationSampling and the Discrete Fourier Transform
Sampling and the Dicrete Fourier Tranform Sampling Method Sampling i mot commonly done with two device, the ample-and-hold (S/H) and the analog-to-digital-converter (ADC) The S/H acquire a CT ignal at
More informationDepartment of Mechanical Engineering Massachusetts Institute of Technology Modeling, Dynamics and Control III Spring 2002
Department of Mechanical Engineering Maachuett Intitute of Technology 2.010 Modeling, Dynamic and Control III Spring 2002 SOLUTIONS: Problem Set # 10 Problem 1 Etimating tranfer function from Bode Plot.
More informationV = 4 3 πr3. d dt V = d ( 4 dv dt. = 4 3 π d dt r3 dv π 3r2 dv. dt = 4πr 2 dr
0.1 Related Rate In many phyical ituation we have a relationhip between multiple quantitie, and we know the rate at which one of the quantitie i changing. Oftentime we can ue thi relationhip a a convenient
More informationTheoretical Computer Science. Optimal algorithms for online scheduling with bounded rearrangement at the end
Theoretical Computer Science 4 (0) 669 678 Content lit available at SciVere ScienceDirect Theoretical Computer Science journal homepage: www.elevier.com/locate/tc Optimal algorithm for online cheduling
More informationIntroduction to Mechanism Design
5 1 Introuction to Mechanim Deign 1.1 Dominant trategie an Nah equilibria In the previou lecture we have een example of game that amit everal Nah equilibria. Moreover, ome of thee equilibria correpon to
More information5. Fuzzy Optimization
5. Fuzzy Optimization 1. Fuzzine: An Introduction 135 1.1. Fuzzy Memberhip Function 135 1.2. Memberhip Function Operation 136 2. Optimization in Fuzzy Environment 136 3. Fuzzy Set for Water Allocation
More informationCompensation of backlash effects in an Electrical Actuator
1 Compenation of backlah effect in an Electrical Actuator R. Merzouki, J. C. Caiou an N. M Siri LaboratoireeRobotiqueeVeraille 10-12, avenue e l Europe 78140 Vélizy e-mail: merzouki@robot.uvq.fr Abtract
More informationOnline Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat
Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Thi Online Appendix contain the proof of our reult for the undicounted limit dicued in Section 2 of the paper,
More informationNCAAPMT Calculus Challenge Challenge #3 Due: October 26, 2011
NCAAPMT Calculu Challenge 011 01 Challenge #3 Due: October 6, 011 A Model of Traffic Flow Everyone ha at ome time been on a multi-lane highway and encountered road contruction that required the traffic
More informationSIMPLE LINEAR REGRESSION
SIMPLE LINEAR REGRESSION In linear regreion, we conider the frequency ditribution of one variable (Y) at each of everal level of a econd variable (). Y i known a the dependent variable. The variable for
More informationHyperbolic Partial Differential Equations
Hyperbolic Partial Differential Equation Evolution equation aociated with irreverible phyical procee like diffuion heat conduction lead to parabolic partial differential equation. When the equation i a
More informationFinal Comprehensive Exam Physical Mechanics Friday December 15, Total 100 Points Time to complete the test: 120 minutes
Final Comprehenive Exam Phyical Mechanic Friday December 15, 000 Total 100 Point Time to complete the tet: 10 minute Pleae Read the Quetion Carefully and Be Sure to Anwer All Part! In cae that you have
More informationGain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays
Gain and Phae Margin Baed Delay Dependent Stability Analyi of Two- Area LFC Sytem with Communication Delay Şahin Sönmez and Saffet Ayaun Department of Electrical Engineering, Niğde Ömer Halidemir Univerity,
More informationDIFFERENTIAL EQUATIONS Laplace Transforms. Paul Dawkins
DIFFERENTIAL EQUATIONS Laplace Tranform Paul Dawkin Table of Content Preface... Laplace Tranform... Introduction... The Definition... 5 Laplace Tranform... 9 Invere Laplace Tranform... Step Function...
More informationEE Control Systems LECTURE 6
Copyright FL Lewi 999 All right reerved EE - Control Sytem LECTURE 6 Updated: Sunday, February, 999 BLOCK DIAGRAM AND MASON'S FORMULA A linear time-invariant (LTI) ytem can be repreented in many way, including:
More informationNOTE: The items d) and e) of Question 4 gave you bonus marks.
MAE 40 Linear ircuit Summer 2007 Final Solution NOTE: The item d) and e) of Quetion 4 gave you bonu mark. Quetion [Equivalent irciut] [4 mark] Find the equivalent impedance between terminal A and B in
More informationNAME (pinyin/italian)... MATRICULATION NUMBER... SIGNATURE
POLITONG SHANGHAI BASIC AUTOMATIC CONTROL June Academic Year / Exam grade NAME (pinyin/italian)... MATRICULATION NUMBER... SIGNATURE Ue only thee page (including the bac) for anwer. Do not ue additional
More informationPractice Problems - Week #7 Laplace - Step Functions, DE Solutions Solutions
For Quetion -6, rewrite the piecewie function uing tep function, ketch their graph, and find F () = Lf(t). 0 0 < t < 2. f(t) = (t 2 4) 2 < t In tep-function form, f(t) = u 2 (t 2 4) The graph i the olid
More informationEE 4443/5329. LAB 3: Control of Industrial Systems. Simulation and Hardware Control (PID Design) The Inverted Pendulum. (ECP Systems-Model: 505)
EE 4443/5329 LAB 3: Control of Indutrial Sytem Simulation and Hardware Control (PID Deign) The Inverted Pendulum (ECP Sytem-Model: 505) Compiled by: Nitin Swamy Email: nwamy@lakehore.uta.edu Email: okuljaca@lakehore.uta.edu
More information1 Routh Array: 15 points
EE C28 / ME34 Problem Set 3 Solution Fall 2 Routh Array: 5 point Conider the ytem below, with D() k(+), w(t), G() +2, and H y() 2 ++2 2(+). Find the cloed loop tranfer function Y () R(), and range of k
More informationNonlinear Single-Particle Dynamics in High Energy Accelerators
Nonlinear Single-Particle Dynamic in High Energy Accelerator Part 6: Canonical Perturbation Theory Nonlinear Single-Particle Dynamic in High Energy Accelerator Thi coure conit of eight lecture: 1. Introduction
More informationLecture 7: Testing Distributions
CSE 5: Sublinear (and Streaming) Algorithm Spring 014 Lecture 7: Teting Ditribution April 1, 014 Lecturer: Paul Beame Scribe: Paul Beame 1 Teting Uniformity of Ditribution We return today to property teting
More informationArmorFlex Design Manual ABRIDGED VERSION Design Manual for ArmorFlex Articulating Concrete Blocks
Armorlex eign Manual ABRIGE VERSION 00 eign Manual for Armorlex Articulating Concrete Block . INTROUCTION Thi document i an abridged verion of the full Armorlex eign Manual, available from Armortec. Thi
More informationDesign By Emulation (Indirect Method)
Deign By Emulation (Indirect Method he baic trategy here i, that Given a continuou tranfer function, it i required to find the bet dicrete equivalent uch that the ignal produced by paing an input ignal
More informationFigure 1 Siemens PSSE Web Site
Stability Analyi of Dynamic Sytem. In the lat few lecture we have een how mall ignal Lalace domain model may be contructed of the dynamic erformance of ower ytem. The tability of uch ytem i a matter of
More informationA Simplified Methodology for the Synthesis of Adaptive Flight Control Systems
A Simplified Methodology for the Synthei of Adaptive Flight Control Sytem J.ROUSHANIAN, F.NADJAFI Department of Mechanical Engineering KNT Univerity of Technology 3Mirdamad St. Tehran IRAN Abtract- A implified
More informationFactor Analysis with Poisson Output
Factor Analyi with Poion Output Gopal Santhanam Byron Yu Krihna V. Shenoy, Department of Electrical Engineering, Neurocience Program Stanford Univerity Stanford, CA 94305, USA {gopal,byronyu,henoy}@tanford.edu
More informationFUNDAMENTALS OF POWER SYSTEMS
1 FUNDAMENTALS OF POWER SYSTEMS 1 Chapter FUNDAMENTALS OF POWER SYSTEMS INTRODUCTION The three baic element of electrical engineering are reitor, inductor and capacitor. The reitor conume ohmic or diipative
More informationInverse Functions. Review from Last Time: The Derivative of y = ln x. [ln. Last time we saw that
Inverse Functions Review from Last Time: The Derivative of y = ln Last time we saw that THEOREM 22.0.. The natural log function is ifferentiable an More generally, the chain rule version is ln ) =. ln
More informationLaplace Transformation
Univerity of Technology Electromechanical Department Energy Branch Advance Mathematic Laplace Tranformation nd Cla Lecture 6 Page of 7 Laplace Tranformation Definition Suppoe that f(t) i a piecewie continuou
More informationR. W. Erickson. Department of Electrical, Computer, and Energy Engineering University of Colorado, Boulder
R. W. Erickon Department of Electrical, Computer, and Energy Engineering Univerity of Colorado, Boulder Cloed-loop buck converter example: Section 9.5.4 In ECEN 5797, we ued the CCM mall ignal model to
More informationThe machines in the exercise work as follows:
Tik-79.148 Spring 2001 Introduction to Theoretical Computer Science Tutorial 9 Solution to Demontration Exercie 4. Contructing a complex Turing machine can be very laboriou. With the help of machine chema
More informationCodes Correcting Two Deletions
1 Code Correcting Two Deletion Ryan Gabry and Frederic Sala Spawar Sytem Center Univerity of California, Lo Angele ryan.gabry@navy.mil fredala@ucla.edu Abtract In thi work, we invetigate the problem of
More informationECE 3510 Root Locus Design Examples. PI To eliminate steady-state error (for constant inputs) & perfect rejection of constant disturbances
ECE 350 Root Locu Deign Example Recall the imple crude ervo from lab G( ) 0 6.64 53.78 σ = = 3 23.473 PI To eliminate teady-tate error (for contant input) & perfect reection of contant diturbance Note:
More informationMATEMATIK Datum: Tid: eftermiddag. A.Heintz Telefonvakt: Anders Martinsson Tel.:
MATEMATIK Datum: 20-08-25 Tid: eftermiddag GU, Chalmer Hjälpmedel: inga A.Heintz Telefonvakt: Ander Martinon Tel.: 073-07926. Löningar till tenta i ODE och matematik modellering, MMG5, MVE6. Define what
More informationLecture 15 - Current. A Puzzle... Advanced Section: Image Charge for Spheres. Image Charge for a Grounded Spherical Shell
Lecture 15 - Current Puzzle... Suppoe an infinite grounded conducting plane lie at z = 0. charge q i located at a height h above the conducting plane. Show in three different way that the potential below
More informationMath 273 Solutions to Review Problems for Exam 1
Math 7 Solution to Review Problem for Exam True or Fale? Circle ONE anwer for each Hint: For effective tudy, explain why if true and give a counterexample if fale (a) T or F : If a b and b c, then a c
More informationClustering Methods without Given Number of Clusters
Clutering Method without Given Number of Cluter Peng Xu, Fei Liu Introduction A we now, mean method i a very effective algorithm of clutering. It mot powerful feature i the calability and implicity. However,
More information4.6 Principal trajectories in terms of amplitude and phase function
4.6 Principal trajectorie in term of amplitude and phae function We denote with C() and S() the coinelike and inelike trajectorie relative to the tart point = : C( ) = S( ) = C( ) = S( ) = Both can be
More information6.302 Feedback Systems Recitation 6: Steady-State Errors Prof. Joel L. Dawson S -
6302 Feedback ytem Recitation 6: teadytate Error Prof Joel L Dawon A valid performance metric for any control ytem center around the final error when the ytem reache teadytate That i, after all initial
More informationON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang
Proceeding of the 2008 Winter Simulation Conference S. J. Maon, R. R. Hill, L. Mönch, O. Roe, T. Jefferon, J. W. Fowler ed. ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION Xiaoqun Wang
More informationFermi Distribution Function. n(e) T = 0 T > 0 E F
LECTURE 3 Maxwell{Boltzmann, Fermi, and Boe Statitic Suppoe we have a ga of N identical point particle in a box ofvolume V. When we ay \ga", we mean that the particle are not interacting with one another.
More informationEE Control Systems LECTURE 14
Updated: Tueday, March 3, 999 EE 434 - Control Sytem LECTURE 4 Copyright FL Lewi 999 All right reerved ROOT LOCUS DESIGN TECHNIQUE Suppoe the cloed-loop tranfer function depend on a deign parameter k We
More informationChapter 12 Simple Linear Regression
Chapter 1 Simple Linear Regreion Introduction Exam Score v. Hour Studied Scenario Regreion Analyi ued to quantify the relation between (or more) variable o you can predict the value of one variable baed
More informationarxiv: v2 [math.nt] 30 Apr 2015
A THEOREM FOR DISTINCT ZEROS OF L-FUNCTIONS École Normale Supérieure arxiv:54.6556v [math.nt] 3 Apr 5 943 Cachan November 9, 7 Abtract In thi paper, we etablih a imple criterion for two L-function L and
More informationME 375 FINAL EXAM Wednesday, May 6, 2009
ME 375 FINAL EXAM Wedneday, May 6, 9 Diviion Meckl :3 / Adam :3 (circle one) Name_ Intruction () Thi i a cloed book examination, but you are allowed three ingle-ided 8.5 crib heet. A calculator i NOT allowed.
More informationOptimal scheduling in call centers with a callback option
Optimal cheuling in call center with a callback option Benjamin Legro, Ouali Jouini, Ger Koole To cite thi verion: Benjamin Legro, Ouali Jouini, Ger Koole. Optimal cheuling in call center with a callback
More informationME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004
ME 375 FINAL EXAM SOLUTIONS Friday December 7, 004 Diviion Adam 0:30 / Yao :30 (circle one) Name Intruction () Thi i a cloed book eamination, but you are allowed three 8.5 crib heet. () You have two hour
More informationtime? How will changes in vertical drop of the course affect race time? How will changes in the distance between turns affect race time?
Unit 1 Leon 1 Invetigation 1 Think About Thi Situation Name: Conider variou port that involve downhill racing. Think about the factor that decreae or increae the time it take to travel from top to bottom.
More informationRepresentation of a Group of Three-phase Induction Motors Using Per Unit Aggregation Model A.Kunakorn and T.Banyatnopparat
epreentation of a Group of Three-phae Induction Motor Uing Per Unit Aggregation Model A.Kunakorn and T.Banyatnopparat Abtract--Thi paper preent a per unit gregation model for repreenting a group of three-phae
More informationCONTROL SYSTEMS. Chapter 5 : Root Locus Diagram. GATE Objective & Numerical Type Solutions. The transfer function of a closed loop system is
CONTROL SYSTEMS Chapter 5 : Root Locu Diagram GATE Objective & Numerical Type Solution Quetion 1 [Work Book] [GATE EC 199 IISc-Bangalore : Mark] The tranfer function of a cloed loop ytem i T () where i
More informationSolutions. Digital Control Systems ( ) 120 minutes examination time + 15 minutes reading time at the beginning of the exam
BSc - Sample Examination Digital Control Sytem (5-588-) Prof. L. Guzzella Solution Exam Duration: Number of Quetion: Rating: Permitted aid: minute examination time + 5 minute reading time at the beginning
More informationCSE 355 Homework Two Solutions
CSE 355 Homework Two Solution Due 2 Octoer 23, tart o cla Pleae note that there i more than one way to anwer mot o thee quetion. The ollowing only repreent a ample olution. () Let M e the DFA with tranition
More informationAlternate Dispersion Measures in Replicated Factorial Experiments
Alternate Diperion Meaure in Replicated Factorial Experiment Neal A. Mackertich The Raytheon Company, Sudbury MA 02421 Jame C. Benneyan Northeatern Univerity, Boton MA 02115 Peter D. Krau The Raytheon
More informationQuestion 1 Equivalent Circuits
MAE 40 inear ircuit Fall 2007 Final Intruction ) Thi exam i open book You may ue whatever written material you chooe, including your cla note and textbook You may ue a hand calculator with no communication
More informationNew bounds for Morse clusters
J Glob Optim (2007) 39:483 494 DOI 10.1007/10898-007-9151-3 ORIGINAL PAPER New boun for More cluter Tamá Vinkó Arnol Neumaier Receive: 23 June 2005 / Accepte: 13 February 2007 / Publihe online: 13 April
More informationCHAPTER 6. Estimation
CHAPTER 6 Etimation Definition. Statitical inference i the procedure by which we reach a concluion about a population on the bai of information contained in a ample drawn from that population. Definition.
More informationChapter 3 : Transfer Functions Block Diagrams Signal Flow Graphs
Chapter 3 : Tranfer Function Block Diagram Signal Flow Graph 3.. Tranfer Function 3.. Block Diagram of Control Sytem 3.3. Signal Flow Graph 3.4. Maon Gain Formula 3.5. Example 3.6. Block Diagram to Signal
More informationName Section Lab on Motion: Measuring Time and Gravity with a Pendulum Introduction: Have you ever considered what the word time means?
Name Section Lab on Motion: Meaurin Time and Gravity with a Pendulum Introduction: Have you ever conidered what the word time mean? For example what i the meanin of when we ay it take two minute to boil
More informationREPRESENTATION OF ALGEBRAIC STRUCTURES BY BOOLEAN FUNCTIONS. Logic and Applications 2015 (LAP 2015) September 21-25, 2015, Dubrovnik, Croatia
REPRESENTATION OF ALGEBRAIC STRUCTURES BY BOOLEAN FUNCTIONS SMILE MARKOVSKI Faculty of Computer Science and Engineering, S Ciryl and Methodiu Univerity in Skopje, MACEDONIA mile.markovki@gmail.com Logic
More information