Implementation of a New Flexible Pavement Design Procedure for U.S. Military Airports
|
|
- Garry Sanders
- 6 years ago
- Views:
Transcription
1 Fourth LACCEI Internatonal Latn Amercan and Carbbean Conference for Engneerng and Technology (LACCEI 006) Breakng Fronters and Barrers n Engneerng: Educaton, Research and Practce -3 June 006, Mayagüe, Puerto Rco. Implementaton of a New Flexble Pavement Desgn Procedure for U.S. Mltary Arports Carlos R. Gonale, PE Research Cvl Engneer Engneer Research and Development Center Vcksburg, Msssspp, USA Carlos.R.Gonale@erdc.usace.army.ml Dr. Walter R. Barker, PhD, PE Research Cvl Engneer Engneer Research and Development Center Vcksburg, Msssspp, USA Walter.R.Barker@erdc.usace.army.ml Abstract The U.S. Mltary (Army, Ar Force and Navy) thckness desgn procedures for flexble arport pavements are based the CBR (Calforna Bearng Rato) method. Ths method was orgnally developed n the 940 s for desgn of flexble pavements to support the then new heavy bombers. The orgnal arfeld desgn curves were an extrapolaton, based on shear stress, of the Calforna pavement desgn curves for hghway pavements. The extrapolated curves were modfed and verfed by extensve full scale feld testng. The classcal CBR equaton was then developed from these curves. Recent research conducted at the U.S. Army Engneer Research and Development Center revealed that the classc CBR equaton can be derved from a stress dstrbuton represented by Frohlch s stress concentraton factor equal to. Ths dscovery led to the reformulaton of the classcal CBR equaton nto a more general equaton n terms vertcal stresses as computed wth a stress concentraton factor. Ths paper presents the mplementaton of ths new formulaton nto a more comprehensve desgn procedure for arport pavements. The paper wll present a bref descrpton of the development of the new procedure, flowcharts descrbng ts mplementaton, and pavement thckness comparson between the old and the new procedures. The mportance and postve mpact to the U.S. Mltary by the adopton of ths new methodology wll also be presented and dscussed. Keywords CBR equaton, Vertcal Stress, Flexble Pavement Desgn, U.S. Mltary, Arfeld, Implementaton. Background The Calforna Bearng Rato (CBR) procedure has been the prncpal method used for desgn of flexble pavements for both mltary roads and arfelds snce ts development n the 940s. Ths procedure has been very successful n the mltary, and t has been currently used throughout the world. Its smplcty, practcablty, hstory, and feld experence has motvated the U.S. Army Corps of Engneers to contnue
2 promotng and mprovng ths technology. The crtera currently mplemented s represented by equaton t α ESWL A 8. CBR π () where: t desgn thckness; ESWL equvalent-sngle-wheel load; CBR represents the sol strength at the depth t A contact area for the ESWL whch s assumed be a constant and equal to the contact area of a tre n the gear assembly α thckness adjustment factor that s a functon of traffc volume and number of tres n the tre group Equaton can also be wrtten n the form as shown n Equaton, n whch β s defned by Equaton 3, and can be related to traffc volume n terms of coverages as shown n Fgure. ESWL A t () β CBR π σ π β (3) CBR 00 FAA TEST FACILITY 6-WHEEL FAA TEST FACILITY 4-WHEEL MWHGL 747 GEAR MWHGL C-5 GEAR COMPUTED BETA BASED ON n log C log β log C R 0.54 ALL SINGLE-WHEEL DATA FIT THROUGH DATA TRAFFIC LEVEL IN COVERAGES Fgure. Beta (β) as Functon of Traffc Volume n Terms of Coverages For a gven traffc level of an ESWL, the value of β can be determned from Fgure, whch may then be used n Equaton to compute the requred pavement thckness. It was shown by Barker and Gonale (006), that Equaton and thus Equaton represent a specal case of the general soluton as gven n Equaton 4 for the vertcal stress n a half-space. The general soluton for vertcal stress (σ ) n a half-
3 space due to a pont load (P ) at the surface s gven n Equaton 4. Fgure provdes the descrpton for the parameters of Equaton 4. σ wheels n P π R cos n θ (4) P θ R r Fgure. Parameter Defnton for Equaton 4. The factor n n Equaton 4 s Frohlch s concentraton factor whch modfes the dstrbuton of vertcal stress n the half-space system. When factor n s equal to 3, Equaton 4 represents Boussnesq stress dstrbuton; for values of n less than 3, Equaton 4 represents stress dsperson; for values of n greater than 3, Equaton 4 represents a stress concentraton. It has been shown (Barker and Gonale,006) that the current CBR crtera are based on a factor of n equal to. For the specal case of stress under the center of a unform crcular load, Equaton 4 can be rewrtten n the closed-form gven by Equaton 5, n whch r represents the radus of the loaded area and σ 0 s the surface pressure appled over the loaded area. σ σ (5) 0 n r + Although the current CBR desgn crtera are based on a Frohlch s concentraton factor of, t has been argued by Barker and Gonale (006) that the n should be a functon of the subgrade CBR. Barker and Gonale also proposed to defne n as a functon of CBR as shown n Equaton CBR n 6 (6) Equaton 4 s the bass for the general case soluton for computng the vertcal stress n a half-space due to mult-wheel tre groups. Computer software has been developed for computng, usng numercal ntegraton technques, the vertcal stress ( σ ) at the top of subgrade due to a mult-wheel tre group. For the specal case of a sngle wheel, the stress can be computed n a closed manner usng Equaton 5. For 3
4 sngle wheel desgns, Equaton 5 can be rearranged such that the requred thckness may be determned drectly (Equaton 7). t r n β CBR π p (7) For a mult-wheel gear the stress must be computed for dfferent postons wthn the gear to nsure the maxmum stress under the tre group s determned..0 New Performance Crtera The desgn crtera, to be referred to heren as the β -crtera, are to be defned as a relatonshp between traffc volume n terms of coverages to falure and the β parameter as defned by Equaton 8. The β parameter was prevously defned by Equaton Traffc Volume.778 log( β ) log( C ) (8) log( β ) Traffc volume s defned n terms of coverages as descrbed by the methodology developed by Brown and Thompson; and descrbed n an nstructonal report by Taboa Perera (97x). The methodology as presented by Barker-Gonale (006) s defned by Equatons 9 and 0. Usng Equatons 9 and 0 the traffc n terms of coverage (C x ) at partcular pont, defned by an offset dstance (x o ) from the center-lne of the traffc lane, can be computed for each tre group. C P x n o w xo + w xo m P σ x x σ e π dx (9) (0) The other varables n Equatons 9 and 0 are defned as: P s the probablty that a tre () wll traverse a pont; x s the dstance from the centerlne of the arcraft to the tre; w s the wdth of a tre; σ s the standard devaton of the traffc dstrbuton, and n o s the number of operatons of the partcular arcraft. The traffc dstrbuton s represented by the wander-wdth defned as the wdth of pavement n whch 75% of the traffc s appled. The standard devaton wll be one-half of the wander-wdth dvded by.5. For the arfeld runways and taxways, wander-wdths of 70 and 40 nches respectvely are used for the traffc dstrbutons. When desgnng a pavement for traffc of a sngle vehcle or arcraft, the desgn coverage level s found by computng the coverage levels at varous ponts across the pavement and selectng the maxmum coverage level for desgn. 4
5 3. Mxed Traffc For desgn of pavements consderng a mxture of vehcles or arcraft types, t s necessary to combne the effects of the dfferent loadngs and traffc volumes. Ths s to be accomplshed through the use of the cumulatve damage concept (Mner s hypothess). In the cumulatve damage concept, the damage caused by a sngle operaton of a vehcle or arcraft s the nverse of the allowable number of operatons, and can be summed to obtan the damage for all operatons and all vehcles/arcraft. The cumulatve damage concept s represented by Equaton. D total vehcles n C () In Equaton, D total s the total cumulatve damage for all vehcles; n s the appled coverage level for the th th vehcle, and C s the allowable coverage level of the vehcle. The pavement thckness s to be selected such that the total cumulatve damage shall not exceed one. Snce computng a value of requres a value of thckness, the desgn process requres an teratve procedure of successve approxmaton untl a value of D s obtaned that s suffcently close to one. total C 4.0 Desgn Procedure The general procedure for desgn of flexble pavements based on the CBR s descrbed by the flow dagram gven n Fgures 3 and 4. The basc CBR desgn procedure shall reman unchanged except for the methodology for computng allowable coverage levels and handlng mxed traffc. Procedures for selectng parameters, such as materal propertes, compacton requrements, desgn CBR, loads, tre pressures, and vehcles operatons, shall be the same as n the current CBR procedure. The desgn procedure can be descrbed for four loadng cases: () One sngle-wheel gear () Mxed traffc composed of sngle-wheel gears (3) One mult-wheel gear (4) Mxed traffc composed of mult-wheel and/or sngle-wheel gears Each of these loadng cases s dscussed n detal below. 5
6 Select Pavement Offset Postons X j ; j, k Compute Appled Coverages, n j for Arcraft at poston Traffc Data for Arcraft, P p ; w ; x ; m N o ;, l Pavement Geometrcs Identfy Secton (Runway, Taxway, Assume thckness, t of Pavement to Start Iteraton Process m Compute Damage n, j at d j Poston, C Compute Allowable Coverages, C for Arcraft, m Adjust Thckness Select Poston wth Maxmum Damage, d Is max? No Performance Yes END Fgure 3. General Flow Dagram for Flexble Pavement Desgn Arcraft Pavement Thckness Tre Load Contact Area Tre Coordnates Compute Stress Concentraton Factor CBR n Compute Vertcal Stress on Top of Subgrade wheels n P n σ cos θ π R Subgrade CBR Compute β σ π β CBR Compute Allowable Coverages.778 log( β ) log( C ) log( β ) Allowable Coverages, Fgure 4. Performance Model for the CBR Desgn Procedure 4. Desgn Procedure for One Sngle-Wheel Gear When a flexble pavement s desgned based on a sngle-wheel gear, the thckness can be determned drectly by Equaton 7. In ths case, the traffc volume used to compute the value of β can be determned from publshed pass-to-coverage ratos, or by Equaton whch s a smplfed verson of Equaton 0. 6
7 w C σ n o () In ths equaton, σ takes the value of and for taxways and runways, respectvely; w s the wdth of the contact area of a tre, and n o s the number of operatons of the arcraft. 4. Desgn Procedure for Mxed Traffc Composed of Sngle-Wheel Gears The desgn procedure for mxed sngle-wheel gears s slghtly more nvolved than desgnng for one sngle-wheel gear. In ths procedure, the cumulatve damage concept must be employed and varous locatons across the pavement must be chosen to determne the locaton of the maxmum damage. The frst step n the recommended procedure s to determne the requred thckness for each vehcle usng the procedure outlned for a sngle-wheel gear. The maxmum thckness obtaned can be used as the startng thckness for the teratve process for determnng the requred thckness. In most cases, the fnal thckness s not lkely to be much thcker than the maxmum thckness obtaned for the ndvdual arcraft. For the startng thckness the cumulatve factor s computed for varous locatons (to locate the poston of the maxmum damage) across the pavement traffc lane. It should be noted that the poston of maxmum damage wll normally occur under the center of the traffc dstrbuton of the tre requrng the maxmum thckness of pavement. In computng the cumulatve damage, the value of β for a gven thckness s frst computed for each vehcle. Equaton 7 can be rearranged n the form of Equaton 3 below, such that, gven the thckness, β can be computed drectly for each vehcle. n r π p β + t (3) CBR Wth the value of β computed, the allowable traffc n terms of coverages s computed based on the performance crtera gven by Equaton 8. It should be noted that the allowable coverages for a partcular vehcle wll reman constant across the traffc lane, thus t wll only be necessary to compute the appled traffc for the dfferent postons. The traffc appled by each vehcle and for each poston s computed based on the general equaton for coverages. Havng determned the appled traffc ( n ) and the allowable traffc ( C ), the damage factor can be computed by Equaton. By selectng the ntal thckness n ths manner, the damage factor for the ntal thckness wll be less than one, thus the second teraton wll nvolve ncreasng the thckness and re-computng allowable traffc ( C ) for the new thckness. It should be noted that for a sngle-wheel gear, the locaton for the maxmum damage wll not change from teraton to teraton and the appled traffc wll reman at the same locaton for all teratons. 4.3 Desgn Procedure for One Mult-Wheel Gear The desgn case for one mult-wheel gear s smlar to the desgn procedure for one sngle-wheel gear n that t s not necessary to consder dfferent postons across the traffc lane (other than to determne the pass-to-coverage rato), nor s the cumulatve damage computaton necessary. The dfference between the two cases s that the thckness can not be drectly computed but must be determned by an teratve procedure. The basc procedure s that the desgn traffc volume n terms of coverages s frst determned. From the desgn traffc and desgn CBR, the value of β s determned from the β -crtera. Usng Equaton 4 below, the allowable vertcal stress (σ ) allow at the top of the subgrade s computed. 7
8 β CBR ( σ ) allow (4) π The desgn problem s then a problem of fndng the thckness for whch the stress at the top of the subgrade, due to the desgn arcraft, s approxmately equal to the allowable stress. For mult-wheel gears, the thckness can not be determned drectly but must be determned usng an teratve procedure. For a startng thckness, t s suggested that the thckness be computed usng Equaton 7 for a sngle wheel of the gear. Ths thckness wll be somewhat less that the fnal thckness, but, as was the case for the mxed sngle-wheel gears, the fnal thckness wll be somewhat greater than the thckness requred for a sngle tre. The vertcal stress at the top of the subgrade for the ntal thckness wll be compared wth the allowable stress. If requred, the thckness should be ncreased and the process repeated. Wth a few teratons the data from the computaton could be used to estmate the thckness for whch the computed stress would be approxmately equal to the allowable stress. 4.4 Desgn Procedure for a Mxed Traffc Composed of Mult-Wheel Gears The desgn procedure for mxed traffc composed of mult-wheel gears represents the general case as shown n Fgure 3. In general, the thckness desgn for mxed mult-wheel gears nvolves computng the traffc volume, n terms of coverages ( n ), for each vehcle at offsets across the traffc lane. Usng an assumed thckness, the allowable traffc volume ( C ) for each vehcle s computed as has been dscussed prevously. For a gven vehcle, the allowable traffc ( C ) wll be constant across the traffc lane. The cumulatve damage factor can then be computed usng Equaton for varous offsets across the traffc lane. The ntal thckness for the teratve process can be determned drectly usng Equaton 7 and the data for the tre havng the heavest loadng. The teratve process s contnued, as descrbed for the specal cases, untl the thckness correspondng to a maxmum cumulatve damage factor s approxmately equal to one. 4.5 Software for the Desgn Procedure The algorthms and equatons for the new CBR desgn procedure have already been developed and are avalable from the Arfeld and Pavements Branch, ERDC Vcksburg, MS. The new desgn procedure wll be ncorporated nto the PCASE software for the desgn of arfeld flexble pavements. 8
9 4.6 Comparson Between Current and Proposed Desgn Procedure Fgure 5 llustrates a thckness desgn comparson between the current desgn procedure and the new proposed CBR procedure based on vertcal stress. Ths comparson was done for a range of subgrade CBR values and 0,000 coverages of the C-7 arcraft. It can be observed that for low subgrade CBR values, the new desgn procedure wll yeld thnner pavement sectons than the current procedure. However, at hgher CBR values (.e. CBR>0 for ths partcular arcraft), the pavement thckness resultng form the new procedure s approxmately equal to or slghtly hgher than the current procedure. Ths typcal result shows that for low CBR values, the current mplementaton of the CBR procedure tends to overestmate the pavement thckness. 70 Desgn Total Thckness Above Subgrade, Inches C-7 Proposed Procedre Current Procedure Subgrade CBR, % Fgure 5. Comparson Between the Current Desgn Procedure and the New Proposed Procedure 5.0 Conclusons A new procedure for the desgn of flexble arfeld pavements has been presented. Ths procedure uses a stress-based approach that s consdered to be more robust than the current mplementaton. Ths new CBR mplementaton brngs ths methodology to par wth exstng state-of-the art desgn procedures based on layered elastc systems. It has been proven that the new renovated CBR procedure has a mechanstc bass whle stll keepng ts smplcty of use and mplementaton. References ASCE (950). Development of CBR Flexble Pavement Desgn Method for Arfelds, A Symposun. Paper No. 406, Transactons, Vol. 5, 950, p.453. Barker, W. R., and Brabston, W. N. (975). Development of a Structural Desgn Procedure for Flexble Arport Pavements, Techncal Report S-75-7, U.S. Army Engneer Waterways Experment Staton, Vcksburg, Msssspp Barker, W.R., and Gonale, C.R. (006). Independent Evaluaton of 6-Wheel Alpha Factor Report, Letter Report to the Federal Avaton Admnstraton, U.S. Army Engneer Research and Development Center, Vcksburg, Msssspp. 9
10 Barker, W.R., and Gonale, C.R. (006). Renovaton of the CBR Procedure, Under Preparaton, U.S. Army Engneer Research and Development Center, Vcksburg, Msssspp. Jumks, A. R. (964). Mechancs of Sols. D. Van Nostrad Company, Inc, Prnceton, New Jersey, Chapters 4 and 5. Jumks, Alfred R. (969). Stress Dstrbuton Tables for Sols Under Concentrated Loads. Engneerng Research Publcaton No. 48, Rutgers Unversty, Lbrary of Congress Catalog No Fne, L., and Remngton J. A. (97). The Corps of Engneers: Constructon n the Unted States, Unted States Army n World War II, Techncal Servces, Chapter XIX, Lbrary of Congress Card Number: , Offce of the Chef of Mltary Hstory, Washngton, D.C. Porter, O. J. and Company (948). Accelerated Traffc Test of Stockton Arfeld, Stockton, Calforna, Department of the Army, Corps of Engneers, Sacramento Dstrct, Stockton Test No., Appendx D. Ulldt, Per (998). Modelng Flexble Pavement Response and Performance, Copyrght 998, Polyteknsh Forlag Waterways Experment Staton, Corps of Engneers, U. S. Army, Vcksburg, Msssspp (956). Mathematcal Expresson of the CBR Relatons, Techncal Report No Authoraton and Dsclamer Authors authore LACCEI to publsh the papers n the conference proceedngs. Nether LACCEI nor the edtors are responsble ether for the content or for the mplcatons of what s expressed n the paper. 0
FUZZY FINITE ELEMENT METHOD
FUZZY FINITE ELEMENT METHOD RELIABILITY TRUCTURE ANALYI UING PROBABILITY 3.. Maxmum Normal tress Internal force s the shear force, V has a magntude equal to the load P and bendng moment, M. Bendng moments
More informationModule 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationx = , so that calculated
Stat 4, secton Sngle Factor ANOVA notes by Tm Plachowsk n chapter 8 we conducted hypothess tests n whch we compared a sngle sample s mean or proporton to some hypotheszed value Chapter 9 expanded ths to
More informationSecond Order Analysis
Second Order Analyss In the prevous classes we looked at a method that determnes the load correspondng to a state of bfurcaton equlbrum of a perfect frame by egenvalye analyss The system was assumed to
More informationSimulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests
Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth
More informationTemperature. Chapter Heat Engine
Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the
More informationUncertainty in measurements of power and energy on power networks
Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:
More informationChapter 11: Simple Linear Regression and Correlation
Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests
More informationDUE: WEDS FEB 21ST 2018
HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant
More informationCSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography
CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationIndeterminate pin-jointed frames (trusses)
Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all
More informationInductance Calculation for Conductors of Arbitrary Shape
CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors
More informationA Hybrid Variational Iteration Method for Blasius Equation
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method
More informationA Mechanics-Based Approach for Determining Deflections of Stacked Multi-Storey Wood-Based Shear Walls
A Mechancs-Based Approach for Determnng Deflectons of Stacked Mult-Storey Wood-Based Shear Walls FPINNOVATIONS Acknowledgements Ths publcaton was developed by FPInnovatons and the Canadan Wood Councl based
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationAdiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram
Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton
More informationChapter - 2. Distribution System Power Flow Analysis
Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load
More informationCS-433: Simulation and Modeling Modeling and Probability Review
CS-433: Smulaton and Modelng Modelng and Probablty Revew Exercse 1. (Probablty of Smple Events) Exercse 1.1 The owner of a camera shop receves a shpment of fve cameras from a camera manufacturer. Unknown
More informationWorkshop: Approximating energies and wave functions Quantum aspects of physical chemistry
Workshop: Approxmatng energes and wave functons Quantum aspects of physcal chemstry http://quantum.bu.edu/pltl/6/6.pdf Last updated Thursday, November 7, 25 7:9:5-5: Copyrght 25 Dan Dll (dan@bu.edu) Department
More informationEVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES
EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES Manuel J. C. Mnhoto Polytechnc Insttute of Bragança, Bragança, Portugal E-mal: mnhoto@pb.pt Paulo A. A. Perera and Jorge
More informationFinite Element Modelling of truss/cable structures
Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures
More information/ n ) are compared. The logic is: if the two
STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence
More informationAPPROXIMATE ANALYSIS OF RIGID PLATE LOADING ON ELASTIC MULTI-LAYERED SYSTEMS
6th ICPT, Sapporo, Japan, July 008 APPROXIMATE ANALYSIS OF RIGID PLATE LOADING ON ELASTIC MULTI-LAYERED SYSTEMS James MAINA Prncpal Researcher, Transport and Infrastructure Engneerng, CSIR Bult Envronment
More informationEEE 241: Linear Systems
EEE : Lnear Systems Summary #: Backpropagaton BACKPROPAGATION The perceptron rule as well as the Wdrow Hoff learnng were desgned to tran sngle layer networks. They suffer from the same dsadvantage: they
More informationLinear Regression Analysis: Terminology and Notation
ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented
More informationChapter Newton s Method
Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationCOMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD
COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More informationChapter 3. Estimation of Earthquake Load Effects
Chapter 3. Estmaton of Earthquake Load Effects 3.1 Introducton Sesmc acton on chmneys forms an addtonal source of natural loads on the chmney. Sesmc acton or the earthquake s a short and strong upheaval
More informationAppendix B. The Finite Difference Scheme
140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton
More informationThe Study of Teaching-learning-based Optimization Algorithm
Advanced Scence and Technology Letters Vol. (AST 06), pp.05- http://dx.do.org/0.57/astl.06. The Study of Teachng-learnng-based Optmzaton Algorthm u Sun, Yan fu, Lele Kong, Haolang Q,, Helongang Insttute
More informationA Robust Method for Calculating the Correlation Coefficient
A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal
More informationTensor Smooth Length for SPH Modelling of High Speed Impact
Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru
More informationχ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body
Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown
More informationMA 323 Geometric Modelling Course Notes: Day 13 Bezier Curves & Bernstein Polynomials
MA 323 Geometrc Modellng Course Notes: Day 13 Bezer Curves & Bernsten Polynomals Davd L. Fnn Over the past few days, we have looked at de Casteljau s algorthm for generatng a polynomal curve, and we have
More informationA PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.
Proceedngs of the th Brazlan Congress of Thermal Scences and Engneerng -- ENCIT 006 Braz. Soc. of Mechancal Scences and Engneerng -- ABCM, Curtba, Brazl,- Dec. 5-8, 006 A PROCEDURE FOR SIMULATING THE NONLINEAR
More informationAssessment of Site Amplification Effect from Input Energy Spectra of Strong Ground Motion
Assessment of Ste Amplfcaton Effect from Input Energy Spectra of Strong Ground Moton M.S. Gong & L.L Xe Key Laboratory of Earthquake Engneerng and Engneerng Vbraton,Insttute of Engneerng Mechancs, CEA,
More informationLecture Notes on Linear Regression
Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume
More informationThis column is a continuation of our previous column
Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard
More informationSection 8.3 Polar Form of Complex Numbers
80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the
More informationRelaxation Methods for Iterative Solution to Linear Systems of Equations
Relaxaton Methods for Iteratve Soluton to Lnear Systems of Equatons Gerald Recktenwald Portland State Unversty Mechancal Engneerng Department gerry@pdx.edu Overvew Techncal topcs Basc Concepts Statonary
More informationCOMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
More informationGEOSYNTHETICS ENGINEERING: IN THEORY AND PRACTICE
GEOSYNTHETICS ENGINEERING: IN THEORY AND PRACTICE Prof. J. N. Mandal Department of cvl engneerng, IIT Bombay, Powa, Mumba 400076, Inda. Tel.022-25767328 emal: cejnm@cvl.tb.ac.n Module - 9 LECTURE - 48
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More informationA PROBABILITY-DRIVEN SEARCH ALGORITHM FOR SOLVING MULTI-OBJECTIVE OPTIMIZATION PROBLEMS
HCMC Unversty of Pedagogy Thong Nguyen Huu et al. A PROBABILITY-DRIVEN SEARCH ALGORITHM FOR SOLVING MULTI-OBJECTIVE OPTIMIZATION PROBLEMS Thong Nguyen Huu and Hao Tran Van Department of mathematcs-nformaton,
More informationJoint Statistical Meetings - Biopharmaceutical Section
Iteratve Ch-Square Test for Equvalence of Multple Treatment Groups Te-Hua Ng*, U.S. Food and Drug Admnstraton 1401 Rockvlle Pke, #200S, HFM-217, Rockvlle, MD 20852-1448 Key Words: Equvalence Testng; Actve
More informationStatistics II Final Exam 26/6/18
Statstcs II Fnal Exam 26/6/18 Academc Year 2017/18 Solutons Exam duraton: 2 h 30 mn 1. (3 ponts) A town hall s conductng a study to determne the amount of leftover food produced by the restaurants n the
More informationKernel Methods and SVMs Extension
Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general
More informationFormulas for the Determinant
page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use
More informationLecture 3 Stat102, Spring 2007
Lecture 3 Stat0, Sprng 007 Chapter 3. 3.: Introducton to regresson analyss Lnear regresson as a descrptve technque The least-squares equatons Chapter 3.3 Samplng dstrbuton of b 0, b. Contnued n net lecture
More informationComparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method
Appled Mathematcal Scences, Vol. 7, 0, no. 47, 07-0 HIARI Ltd, www.m-hkar.com Comparson of the Populaton Varance Estmators of -Parameter Exponental Dstrbuton Based on Multple Crtera Decson Makng Method
More informationOn the Interval Zoro Symmetric Single-step Procedure for Simultaneous Finding of Polynomial Zeros
Appled Mathematcal Scences, Vol. 5, 2011, no. 75, 3693-3706 On the Interval Zoro Symmetrc Sngle-step Procedure for Smultaneous Fndng of Polynomal Zeros S. F. M. Rusl, M. Mons, M. A. Hassan and W. J. Leong
More informationLOW BIAS INTEGRATED PATH ESTIMATORS. James M. Calvin
Proceedngs of the 007 Wnter Smulaton Conference S G Henderson, B Bller, M-H Hseh, J Shortle, J D Tew, and R R Barton, eds LOW BIAS INTEGRATED PATH ESTIMATORS James M Calvn Department of Computer Scence
More informationNote 10. Modeling and Simulation of Dynamic Systems
Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada
More informationRELIABILITY ASSESSMENT
CHAPTER Rsk Analyss n Engneerng and Economcs RELIABILITY ASSESSMENT A. J. Clark School of Engneerng Department of Cvl and Envronmental Engneerng 4a CHAPMAN HALL/CRC Rsk Analyss for Engneerng Department
More informationParametric fractional imputation for missing data analysis. Jae Kwang Kim Survey Working Group Seminar March 29, 2010
Parametrc fractonal mputaton for mssng data analyss Jae Kwang Km Survey Workng Group Semnar March 29, 2010 1 Outlne Introducton Proposed method Fractonal mputaton Approxmaton Varance estmaton Multple mputaton
More informationChapter 6. Supplemental Text Material
Chapter 6. Supplemental Text Materal S6-. actor Effect Estmates are Least Squares Estmates We have gven heurstc or ntutve explanatons of how the estmates of the factor effects are obtaned n the textboo.
More informationAn Application of Fuzzy Hypotheses Testing in Radar Detection
Proceedngs of the th WSES Internatonal Conference on FUZZY SYSEMS n pplcaton of Fuy Hypotheses estng n Radar Detecton.K.ELSHERIF, F.M.BBDY, G.M.BDELHMID Department of Mathematcs Mltary echncal Collage
More informationAppendix B: Resampling Algorithms
407 Appendx B: Resamplng Algorthms A common problem of all partcle flters s the degeneracy of weghts, whch conssts of the unbounded ncrease of the varance of the mportance weghts ω [ ] of the partcles
More informationSINGLE EVENTS, TIME SERIES ANALYSIS, AND PLANETARY MOTION
SINGLE EVENTS, TIME SERIES ANALYSIS, AND PLANETARY MOTION John N. Harrs INTRODUCTION The advent of modern computng devces and ther applcaton to tme-seres analyses permts the nvestgaton of mathematcal and
More informationColor Rendering Uncertainty
Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:
More informationOne-sided finite-difference approximations suitable for use with Richardson extrapolation
Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,
More informationDesign and Optimization of Fuzzy Controller for Inverse Pendulum System Using Genetic Algorithm
Desgn and Optmzaton of Fuzzy Controller for Inverse Pendulum System Usng Genetc Algorthm H. Mehraban A. Ashoor Unversty of Tehran Unversty of Tehran h.mehraban@ece.ut.ac.r a.ashoor@ece.ut.ac.r Abstract:
More informationCHAPTER 14 GENERAL PERTURBATION THEORY
CHAPTER 4 GENERAL PERTURBATION THEORY 4 Introducton A partcle n orbt around a pont mass or a sphercally symmetrc mass dstrbuton s movng n a gravtatonal potental of the form GM / r In ths potental t moves
More informationComposite Hypotheses testing
Composte ypotheses testng In many hypothess testng problems there are many possble dstrbutons that can occur under each of the hypotheses. The output of the source s a set of parameters (ponts n a parameter
More informationDETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM
Ganj, Z. Z., et al.: Determnaton of Temperature Dstrbuton for S111 DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM by Davood Domr GANJI
More informationChapter 12. Ordinary Differential Equation Boundary Value (BV) Problems
Chapter. Ordnar Dfferental Equaton Boundar Value (BV) Problems In ths chapter we wll learn how to solve ODE boundar value problem. BV ODE s usuall gven wth x beng the ndependent space varable. p( x) q(
More informationApplication of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems
Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &
More informationChapter 5 Multilevel Models
Chapter 5 Multlevel Models 5.1 Cross-sectonal multlevel models 5.1.1 Two-level models 5.1.2 Multple level models 5.1.3 Multple level modelng n other felds 5.2 Longtudnal multlevel models 5.2.1 Two-level
More informationMarkov Chain Monte Carlo (MCMC), Gibbs Sampling, Metropolis Algorithms, and Simulated Annealing Bioinformatics Course Supplement
Markov Chan Monte Carlo MCMC, Gbbs Samplng, Metropols Algorthms, and Smulated Annealng 2001 Bonformatcs Course Supplement SNU Bontellgence Lab http://bsnuackr/ Outlne! Markov Chan Monte Carlo MCMC! Metropols-Hastngs
More informationWeek 9 Chapter 10 Section 1-5
Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More informationA MODIFIED METHOD FOR SOLVING SYSTEM OF NONLINEAR EQUATIONS
Journal of Mathematcs and Statstcs 9 (1): 4-8, 1 ISSN 1549-644 1 Scence Publcatons do:1.844/jmssp.1.4.8 Publshed Onlne 9 (1) 1 (http://www.thescpub.com/jmss.toc) A MODIFIED METHOD FOR SOLVING SYSTEM OF
More informationSome Comments on Accelerating Convergence of Iterative Sequences Using Direct Inversion of the Iterative Subspace (DIIS)
Some Comments on Acceleratng Convergence of Iteratve Sequences Usng Drect Inverson of the Iteratve Subspace (DIIS) C. Davd Sherrll School of Chemstry and Bochemstry Georga Insttute of Technology May 1998
More informationThe optimal delay of the second test is therefore approximately 210 hours earlier than =2.
THE IEC 61508 FORMULAS 223 The optmal delay of the second test s therefore approxmately 210 hours earler than =2. 8.4 The IEC 61508 Formulas IEC 61508-6 provdes approxmaton formulas for the PF for smple
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationThe Finite Element Method
The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of
More informationA Particle Filter Algorithm based on Mixing of Prior probability density and UKF as Generate Importance Function
Advanced Scence and Technology Letters, pp.83-87 http://dx.do.org/10.14257/astl.2014.53.20 A Partcle Flter Algorthm based on Mxng of Pror probablty densty and UKF as Generate Importance Functon Lu Lu 1,1,
More informationArmy Ants Tunneling for Classical Simulations
Electronc Supplementary Materal (ESI) for Chemcal Scence. Ths journal s The Royal Socety of Chemstry 2014 electronc supplementary nformaton (ESI) for Chemcal Scence Army Ants Tunnelng for Classcal Smulatons
More informationNUMERICAL RESULTS QUALITY IN DEPENDENCE ON ABAQUS PLANE STRESS ELEMENTS TYPE IN BIG DISPLACEMENTS COMPRESSION TEST
Appled Computer Scence, vol. 13, no. 4, pp. 56 64 do: 10.23743/acs-2017-29 Submtted: 2017-10-30 Revsed: 2017-11-15 Accepted: 2017-12-06 Abaqus Fnte Elements, Plane Stress, Orthotropc Materal Bartosz KAWECKI
More informationTHE SUMMATION NOTATION Ʃ
Sngle Subscrpt otaton THE SUMMATIO OTATIO Ʃ Most of the calculatons we perform n statstcs are repettve operatons on lsts of numbers. For example, we compute the sum of a set of numbers, or the sum of the
More informationFoundations of Arithmetic
Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an
More information10.34 Numerical Methods Applied to Chemical Engineering Fall Homework #3: Systems of Nonlinear Equations and Optimization
10.34 Numercal Methods Appled to Chemcal Engneerng Fall 2015 Homework #3: Systems of Nonlnear Equatons and Optmzaton Problem 1 (30 ponts). A (homogeneous) azeotrope s a composton of a multcomponent mxture
More informationLecture 7: Boltzmann distribution & Thermodynamics of mixing
Prof. Tbbtt Lecture 7 etworks & Gels Lecture 7: Boltzmann dstrbuton & Thermodynamcs of mxng 1 Suggested readng Prof. Mark W. Tbbtt ETH Zürch 13 März 018 Molecular Drvng Forces Dll and Bromberg: Chapters
More informationHongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k)
ISSN 1749-3889 (prnt), 1749-3897 (onlne) Internatonal Journal of Nonlnear Scence Vol.17(2014) No.2,pp.188-192 Modfed Block Jacob-Davdson Method for Solvng Large Sparse Egenproblems Hongy Mao, College of
More informationRobert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations
Quantum Physcs 量 理 Robert Esberg Second edton CH 09 Multelectron atoms ground states and x-ray exctatons 9-01 By gong through the procedure ndcated n the text, develop the tme-ndependent Schroednger equaton
More informationSupplementary Notes for Chapter 9 Mixture Thermodynamics
Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects
More informationAvailable online at Kazuhiro Tsuboi a, * Received 31 January 2010; revised 7 March 2010; accepted 21 March 2010
Avalable onlne at www.scencedrect.com Proceda Proceda Engneerng 00 (010) (009) 000 000 305 310 Proceda Engneerng www.elsever.com/locate/proceda 8 th Conference of the Internatonal Sports Engneerng Assocaton
More informationNumerical Solution of Ordinary Differential Equations
Numercal Methods (CENG 00) CHAPTER-VI Numercal Soluton of Ordnar Dfferental Equatons 6 Introducton Dfferental equatons are equatons composed of an unknown functon and ts dervatves The followng are examples
More informationThe Minimum Universal Cost Flow in an Infeasible Flow Network
Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran
More informationDETERMINATION OF UNCERTAINTY ASSOCIATED WITH QUANTIZATION ERRORS USING THE BAYESIAN APPROACH
Proceedngs, XVII IMEKO World Congress, June 7, 3, Dubrovn, Croata Proceedngs, XVII IMEKO World Congress, June 7, 3, Dubrovn, Croata TC XVII IMEKO World Congress Metrology n the 3rd Mllennum June 7, 3,
More informationUncertainty as the Overlap of Alternate Conditional Distributions
Uncertanty as the Overlap of Alternate Condtonal Dstrbutons Olena Babak and Clayton V. Deutsch Centre for Computatonal Geostatstcs Department of Cvl & Envronmental Engneerng Unversty of Alberta An mportant
More informationWinter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan
Wnter 2008 CS567 Stochastc Lnear/Integer Programmng Guest Lecturer: Xu, Huan Class 2: More Modelng Examples 1 Capacty Expanson Capacty expanson models optmal choces of the tmng and levels of nvestments
More informationThe Quadratic Trigonometric Bézier Curve with Single Shape Parameter
J. Basc. Appl. Sc. Res., (3541-546, 01 01, TextRoad Publcaton ISSN 090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com The Quadratc Trgonometrc Bézer Curve wth Sngle Shape Parameter Uzma
More informationGrover s Algorithm + Quantum Zeno Effect + Vaidman
Grover s Algorthm + Quantum Zeno Effect + Vadman CS 294-2 Bomb 10/12/04 Fall 2004 Lecture 11 Grover s algorthm Recall that Grover s algorthm for searchng over a space of sze wors as follows: consder the
More informationFinal report. Absolute gravimeter Intercomparison
Federal Department of Justce and Polce FDJP Federal Offce of Metrology METAS Baumann Henr 16.04.010 Fnal report Absolute gravmeter Intercomparson EURAMET Project no. 1093 Coordnator of the comparson Henr
More informationLecture Note 3. Eshelby s Inclusion II
ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte
More information