Journal of Chemical and Pharmaceutical Research, 2014, 6(3): Research Article

Size: px
Start display at page:

Download "Journal of Chemical and Pharmaceutical Research, 2014, 6(3): Research Article"

Transcription

1 Avalable ole Joural of Chemcal ad Pharmaceutcal Research, 204, 6(3): Research Artcle ISSN : CODEN(USA) : JCPRC5 Dscrete elemet smulato o mechacal propertes of modfed sady gravel Le Zhag, Xaohu Lag 2 ad Lu Zhag Cha Uversty of Geosceces, Bejg, Cha Bejg Urba Costructo Explorato & Surveyg Desg Research Isttute CO..LTD Zhagle_cugb@26.com ABSTRACT Through the laboratory expermets, the mechacal propertes of sady gravel are obtaed. The, based o the slump tests, a modfed sady gravel model s developed by PFC 3D (partcle flow code of three dmesos), to whch relevat mcroscopc parameters are assged to umercally smulate the laboratory expermets. The laboratory test results are compared wth that of the umercal smulato by PFC 3D, whch shows ther perfect agreemet. Thus the partcle flow method s able to better smulate the process of the laboratory expermets of sady gravel. A ew approach for the study of the physcal ad mechacal propertes of modfed sady gravel s proposed the research to overcome the lmtatos of covetoal tests. Key words: dscrete elemet smulato; modfed sady gravel; traxal test; mortar model INTRODUCTION I sad gravel layer, the stratum structure s loose ad ot cemeted, ad has poor self-stablty, besdes, the cotet of gravel the layer s hgh ad the partcle sze s ueve. The sad gravel layer s a typcal ustable layer wth hgh sestvty[]. It s very hard to arch the sol formatos the sheld costructo process. Whe the cutter s rotatg, t s easy to destroy the orgal stablty of the formatos, causg collapse ad large dsturbace of surroudg rocs. Thus, there are a lot of techcal problems the sheld costructo process wth earth pressure balace, such as stablty of excavato face, promotg resstace, serous cutter wear, occluso of pressure postos, cag ad spewg, eve surface collapse[2]. Dstct Elemet Method s proposed by Cudall P.A[3]. It s a dscrete body of a partculate materal aalyss method, t s based o the prcple of molecular dyamcs ad t s frst used roc mechacs. O ths bass, Cudall ad Strac put forward the rgd dsc graular model 978 ad put the model to applcato sol mechacs, the results are cosstet wth photoelastc expermet results proposed by Drescher[4-5]. I the process of sheld costructo, the cohesve force of sol c ad teral frcto agle φ are two crtcal cotrol parameters, the ratoalty of the value ad the veracty of the value play decsve roles to the determato of excavato face support pressure ad the stablty of the excavato face. Sol partcles sady gravel are depedet from each other. Complex attrbutes dsplayed the course of the force, whch has yet to establsh approprate costtutve models. Developmet ad valdato of costtutve relatoshp requre a lot of physcal expermetal data as a bass for research, however the large dameter traxal tests the hgh cost, complcated operato, Addtoally, the large dscreteess of test results caused by the complexty ad ucertaty of the mcroscopc structure of sady gravel sol s also the problem accurate descrpto of ts mechacal behavor. Therefore, ths paper from the vew of mcrocosmc, tag PFC 3D as the tool, accordg to the sady gravel gradato curve costructo ste has self-programmg to obta the umercal model, lad the foudato for the study of the mechacal propertes of sady gravel. Through the laboratory expermets, the mechacal propertes of sady gravel uder dfferet stress 806

2 Le Zhag et al J. Chem. Pharm. Res., 204, 6(3): levels are obtaed. A modfed sady gravel model based o the slump tests s establshed to explore the basc mechacal propertes of modfed sady gravel, layg a sold foudato for the study of sol mprovemet ad umercal model tests. BASIC THEORY CALCULATION CYCLE OF PFC The calculato cycle PFC 3D s a tmesteppg algorthm that requres the repeated applcato of the law of moto to each partcle, a force-dsplacemet law to each cotact, ad a costat updatg of wall postos. Cotacts, whch may exst betwee two balls, or betwee a ball ad a wall, are formed ad broe automatcally durg the course of a smulato. The calculato cycle s llustrated Fg. At the start of each tmestep, the set of cotacts s updated from the ow partcle ad wall postos. The force-dsplacemet law s the appled to each cotact to update the cotact forces based o the relatve moto betwee the two ettes at the cotact ad the cotact costtutve model. Next, the law of moto s appled to each partcle to update ts velocty ad posto based o the resultat force ad momet arsg from the cotact forces ad ay body forces actg o the partcle. Also, the wall postos are updated based o the specfed wall veloctes. The calculatos performed each of the two boxes of Fg ca be doe effectvely parallel[6]. Fg. : Calculato cycle PFC 3D FORCE DISPLACEMENT LAW The partcle flow method whch s based o the dscrete elemet method s to smulate the movemet ad teracto of rgd spheres. PFC 3D s oe of dscrete elemet programs, the basc ut s a pure sphercal partcle. The force-dsplacemet law relates the relatve dsplacemet betwee two ettes at a cotact to the cotact force actg o the ettes. For both ball-ball ad ball-wall cotacts, ths cotact force arses from cotact occurrg at a pot. For ball-ball cotact, a addtoal force ad momet arsg from the deformato of the cemetatos materal represeted by a parallel bod ca also act o each partcle[6]. ()Cotact model The ormal cotact force ad the relatve dsplacemet betwee the two spheres cotact wth each other s calculated by: F = KU () Where K s the ormal stffess, U s the overlap the ormal drecto, The shear elastc force-cremet vector s calculated by: s s s s the ut ormal. F = K U (2) s K s the shear stffess at the cotact. (2)Sldg frcto model Durg the loadg process, there s frcto betwee sady gravel partcles, therefore the sldg frcto model troduced to smulate the sldg behavor betwee partcles allows partcles to sld wth the scope of the shear stregth. The cotact s checed for slp codtos by calculatg the maxmum allowable shear cotact force: 807

3 Le Zhag et al J. Chem. Pharm. Res., 204, 6(3): = m (3) s Fmax F Where µ the frcto coeffcet, If F F s ormal cotact force. s s s s > Fmax, the slp s allowed to occur, ad F = Fmax LABORATORY EXPERIMENTS TRIAXIAL TEST The test strumet s the large-scale traxal apparatus. Its operatg prcple s that actg a axal force o samples through axal system ad actg a crcular force o samples through pressure cell to smulate the sample falure uder three dmeso pressures, from whch the stress-stra curves of the tests are obtaed. The traxal apparatus parameters are as follows. Table Traxal apparatus parameters Sample sze Maxmum axal compresso Axal dsplacemet Maxmum cofg pressure Maxmum pore water pressure Φ300mm 600mm 2000N 0~300mm 0MPa 0MPa The sady gravel sampled from the Bejg subway costructo ste s used to prepare the specme. The stadard The sady gravels tae from the Bejg subway costructo ste are used to prepare the specme. The stadard screes whch has sx d of apertures(6cm 4cm 2cm cm 0.5cm 0.2cm)are used to scree the fully dry sady gravel.repeat screeg 4 tmes the calculate the average, the dstrbuto of the sady gravel partcle sze rage s show table 2. Table2 Sady gravel partcle sze dstrbuto Partcle dameter (mm) 40~20 20~0 0~5 5~2 0.2 Mass percetage (%) Accordg to table 2, the sady gravels of dfferet partcle sze are weghed ad mxed, the put the steel cylder whch the samples are dvded to 5 layers order to esure the compactess. Isotropc cosoldato draed shear (CD) test method s used, wth a shear rate of 2mm/m. The specme fals whe ts dsplacemet reaches 5% heght of the specme. I order to study the stregth ad deformato propertes of sady gravel, tests wth 3 cofg pressures (0.MPa, 0.2 MPa ad 0.3MPa) are coducted durg whch the stress ad stra data are recorded. SLUMP TEST The slump test s a commoly used for the test method for measurg the worablty of fresh cocrete. Through modfcato of the cotet of dfferet mud of modfed sady gravel slump test, the relatoshp betwee dosage of mud ad the lqudty of modfed sady gravel has bee establshed. The basc data to determe the model of rheologcal parameters of mortar s obtaed. The stadard slump coe as show Fg 4: 200mm 300mm 300mm Fg 4: The stadard slump coe Before the slump test, the modfed sady gravel should be prepared at frst. The modfed sady gravel s maly composed of sady gravel, mud ad water. Sady gravel sols accordace wth table 2, whch s eeded 40 g (approxmately 5 L) accordg to the volume of the mxg drum. The addtve amout of mud every tme s 200ml, The slump tests are carred out accordace wth the stadard test method after mxg evely, utl the plastc 808

4 Le Zhag et al J. Chem. Pharm. Res., 204, 6(3): flow of the sol was too large so far[7]. NUMERICAL SIMULATION TEST NUMERICAL SAMPLE OF TRIAXIAL TEST The cyldrcal specme of the traxal test umercal model s 60cm heght ad 30cm dameter. The upper ad lower plaes are both loadg board whose stffess s slghtly larger tha the ormal stffess of the partcle. The cylder wall s subjected to flexble costrats ad ts ormal stffess s smaller tha that of the partcles. Accordg to the gradg curve, the Fsh laguage embedded PFC 3D s used to establsh the umercal model. I order to esure computatoal effcecy, the mmum sze of partcles s cotrolled to 0 mm. The dstrbuto of the partcle sze rage of umercal samples s show table 3, ad the umercal sample s show Fg 3. Table 3 Partcle sze dstrbuto table Partcle dameter (mm) 40~20 20~0 0 Mass percetage (%) Fg3: Numercal sample The geerato process s dvded to the followg steps, tag group (40~20mm) for example: () Frst the total volume of the partcle aggregate s calculated by the equato below: D Vs = V = π H 2 2 (4) Where s the porosty of the sample, V s the total volume of the sample, H s the sample heght ad D s the sample dameter. (2) N partcles are geerated wth a rage of the partcle radus (40~20mm), the radus complace wth Gaussa dstrbuto. (3)The total volume of all the partcles of ths group ca be calculated as follows: N 3 4 d Vs = π 3 = 2 (5) Where d s the dameter of the partcles. (4) Whe V V P P s s ε >, all partcles the gra group are deleted. Where P s mass percetage of ths group, ad ε s the cotrol precso, ε=0.0. (5) N =N +, repeat steps (2)~(4) (6) Repeated steps ()~(5), utl the codto s satsfed requremets: 809

5 Le Zhag et al J. Chem. Pharm. Res., 204, 6(3): V V P P s s ε (6) The the partcles are geerated ext group. The partcle umber of each group s show table 4. Table 4 Partcle umber of each group Partcle dameter (mm) 40~20 20~0 0 Partcle umber NUMERICAL SAMPLE OF SLUMP TEST Three groups of the slump test of modfed sady gravel was executed, the addtve amout of mud s 5%, 0% ad 5% respectvely. Accordg to the results of traxal test, the model parameters s determed the umercal model of slump test s show Fg 5. The mortar ths model s replaced wth a dameter of 5mm partcle, the model parameters of sady gravel partcles ad the mortar partcles are evaluated separately. Fg 5: The umercal model of the slump test RESULTS AND DISCUSSION The data uder a cofg pressure of 0.Mpa of the umercal test are compared wth that of the laboratory test. After repeated adjustmets, a set of perfect value of the smulato parameters s obtaed as show table 5, whch are the used for the umercal smulato test wth cofg pressures of 0.2Mpa ad 0.3Mpa.The stress-stra curves of umercal smulato ad laboratory test are compared as show Fg6. (N/m) Table 5 Values of mcro parameters / s p (N/m) c (N/m) µ v (m/s) ρ (g/m 3 ).5e7 2.0 e8 5e Fg 6: Stress-stra curves of umercal smulato ad laboratory test The Fg6 shows that the laboratory test results ad the umercal smulato by PFC 3D are perfect agreemet. As the crease of cofg pressure, the pea stregths of umercal test rase. There are a few devatos betwee the stress stra relato uder dfferet cofg pressures from umercal smulato ad laboratory test, whereas the basc tred s cosstet. Whe axal pressure s large, the slde may occur ad the arragemet of the er partcles of the umercal model s ot compacted as that of the real sady gravel, thus the decreased terlocg causes the 80

6 Le Zhag et al J. Chem. Pharm. Res., 204, 6(3): devato. The umercal smulato ad the actual results of slump tests are show table 6. The fal state of tests s show Fg7. Table 6 Comparso of results betwee the ume rcal smulato ad the actual slump test No. Mud cotet /% Actual slump /cm Smulato slump /cm Errors /% (a) The slump of 5% mud cotet (b) The slump of 0% mud cotet (c) The slump of 5% mud cotet Fg 7: The fal state of slump tests The Fg7 shows that three group errors of the umercal smulato ad the actual slump test results are small. The umercal smulato reproduced the whole process of the slump test. Because the model of the mud partcles are 5mm dameter balls, the bte force betwee partcles are relatvely low, partcles are more proe to movemet, the results of umercal smulato s larger tha the actual. CONCLUSION Sady gravel s a partcle aggregate that cossts of partcles of dfferet szes. Base o the laboratory traxal tests ad the slump tests, the umercal models of traxal tests ad slump tests based o the graduato of the sady 8

7 Le Zhag et al J. Chem. Pharm. Res., 204, 6(3): gravel materals costructo ste s establshed by PFC 3D from mcroscopc perspectves the paper, ad the cocluso s made as follows by comparg two test results. ()The traxal tests of sady gravel are completed ad the stress-stra curves of sady gravel uder dfferet cofg pressures are obtaed. (2)The modfed sady gravel model s developed, whch s composed of gravel partcles ad mortar partcles. The slump test results of the umercal model are agreemet wth actual test. (3)The traxal model ad the modfed sady gravel model establshed here are able to smulate the physcal ad mechacal propertes of sady gravel accurately, whch overcome the lmtato of laboratory tests ad the dscreteess of the test results. REFERENCES [] Sog Kezh, Wag Bo, Kog heg, Yua Daju, Wag megshu. Chese Joural of Roc Mechacs ad Egeerg, v.24,.3, pp , [2] Aagostou G, Kovar K. Tuelg ad Udergroud Space Techology,v.,.2, pp.65-73, 996. [3] Cudall P A. Imperal College Lodo (Uversty of Lodo), 97. [4] Cudall P A, Strac O D L. Numercal Methods Geomechacs, 979,., pp , 979. [5] Drescher A, De Jossel de Jog G. Joural of the Mechacs ad Physcs of Solds,v.20,.5, pp , 972. [6] Cudall P A. Mesota: Itasca Cosultg Group Ic., [7] S. Clayto, T. G. Grce, D. V. Boger. Iteratoal Joural of Meral Processg, v.70,., pp.3-2,

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best Error Aalyss Preamble Wheever a measuremet s made, the result followg from that measuremet s always subject to ucertaty The ucertaty ca be reduced by makg several measuremets of the same quatty or by mprovg

More information

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur

More information

Theoretical background and applications of DEM. Simon Lo

Theoretical background and applications of DEM. Simon Lo Theoretcal backgroud ad applcatos of DEM Smo Lo Cotets DEM equatos DEM teracto models Examples Partcle trasport horzotal ppes Blast furace Mxg drum Coveyer belt cases Partcle trasport gas-lqud flow ppes

More information

Numerical simulation of sand mould manufacture for Lost Foam Casting process

Numerical simulation of sand mould manufacture for Lost Foam Casting process Numercal smulato of sad mould maufacture for Lost Foam Castg process J. Rojek 1,, F. Zarate, C. Agelet de Saracbar, M. Chumet, M. Cervera, P.M. Hagh 3, C. Glboure 3, P. Verdot 4 1 Isttute of FudametalTechologcal

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

PHYS Look over. examples 2, 3, 4, 6, 7, 8,9, 10 and 11. How To Make Physics Pay PHYS Look over. Examples: 1, 4, 5, 6, 7, 8, 9, 10,

PHYS Look over. examples 2, 3, 4, 6, 7, 8,9, 10 and 11. How To Make Physics Pay PHYS Look over. Examples: 1, 4, 5, 6, 7, 8, 9, 10, PHYS Look over Chapter 9 Sectos - Eamples:, 4, 5, 6, 7, 8, 9, 0, PHYS Look over Chapter 7 Sectos -8 8, 0 eamples, 3, 4, 6, 7, 8,9, 0 ad How To ake Phscs Pa We wll ow look at a wa of calculatg where the

More information

Journal of Chemical and Pharmaceutical Research, 2014, 6(7): Research Article

Journal of Chemical and Pharmaceutical Research, 2014, 6(7): Research Article Avalable ole www.jocpr.com Joural of Chemcal ad Pharmaceutcal Research, 04, 6(7):4-47 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 Predcto of CNG automoble owershp by usg the combed model Ku Huag,

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

A Method for Damping Estimation Based On Least Square Fit

A Method for Damping Estimation Based On Least Square Fit Amerca Joural of Egeerg Research (AJER) 5 Amerca Joural of Egeerg Research (AJER) e-issn: 3-847 p-issn : 3-936 Volume-4, Issue-7, pp-5-9 www.ajer.org Research Paper Ope Access A Method for Dampg Estmato

More information

2C09 Design for seismic and climate changes

2C09 Design for seismic and climate changes 2C09 Desg for sesmc ad clmate chages Lecture 08: Sesmc aalyss of elastc MDOF systems Aurel Strata, Poltehca Uversty of Tmsoara 06/04/2017 Europea Erasmus Mudus Master Course Sustaable Costructos uder atural

More information

Introduction to local (nonparametric) density estimation. methods

Introduction to local (nonparametric) density estimation. methods Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest

More information

Analysis of Variance with Weibull Data

Analysis of Variance with Weibull Data Aalyss of Varace wth Webull Data Lahaa Watthaacheewaul Abstract I statstcal data aalyss by aalyss of varace, the usual basc assumptos are that the model s addtve ad the errors are radomly, depedetly, ad

More information

A New Family of Transformations for Lifetime Data

A New Family of Transformations for Lifetime Data Proceedgs of the World Cogress o Egeerg 4 Vol I, WCE 4, July - 4, 4, Lodo, U.K. A New Famly of Trasformatos for Lfetme Data Lakhaa Watthaacheewakul Abstract A famly of trasformatos s the oe of several

More information

Chapter 11 The Analysis of Variance

Chapter 11 The Analysis of Variance Chapter The Aalyss of Varace. Oe Factor Aalyss of Varace. Radomzed Bloc Desgs (ot for ths course) NIPRL . Oe Factor Aalyss of Varace.. Oe Factor Layouts (/4) Suppose that a expermeter s terested populatos

More information

Dynamic Analysis of Axially Beam on Visco - Elastic Foundation with Elastic Supports under Moving Load

Dynamic Analysis of Axially Beam on Visco - Elastic Foundation with Elastic Supports under Moving Load Dyamc Aalyss of Axally Beam o Vsco - Elastc Foudato wth Elastc Supports uder Movg oad Saeed Mohammadzadeh, Seyed Al Mosayeb * Abstract: For dyamc aalyses of ralway track structures, the algorthm of soluto

More information

CHAPTER VI Statistical Analysis of Experimental Data

CHAPTER VI Statistical Analysis of Experimental Data Chapter VI Statstcal Aalyss of Expermetal Data CHAPTER VI Statstcal Aalyss of Expermetal Data Measuremets do ot lead to a uque value. Ths s a result of the multtude of errors (maly radom errors) that ca

More information

Lecture 2 - What are component and system reliability and how it can be improved?

Lecture 2 - What are component and system reliability and how it can be improved? Lecture 2 - What are compoet ad system relablty ad how t ca be mproved? Relablty s a measure of the qualty of the product over the log ru. The cocept of relablty s a exteded tme perod over whch the expected

More information

Module 7: Probability and Statistics

Module 7: Probability and Statistics Lecture 4: Goodess of ft tests. Itroducto Module 7: Probablty ad Statstcs I the prevous two lectures, the cocepts, steps ad applcatos of Hypotheses testg were dscussed. Hypotheses testg may be used to

More information

ON THE MOTION OF PLANAR BARS SYSTEMS WITH CLEARANCES IN JOINTS

ON THE MOTION OF PLANAR BARS SYSTEMS WITH CLEARANCES IN JOINTS ON THE MOTION OF PLANAR BARS SYSTEMS WITH CLEARANCES IN JOINTS Şl uv dr g Ja-Crsta GRIGORE, Uverstatea d Pteşt, strtîrgu dvale Nr Prof uv dr g Ncolae PANDREA, Uverstatea d Pteşt, strtîrgu dvale Nr Cof

More information

3.1 Establishment of Numerical Model

3.1 Establishment of Numerical Model CHAPTER 3. NUMERICAL MODELING Modelg has bee a useful tool for egeerg desg ad aalyss. The defto of modelg may vary depedg o the applcato, but the basc cocept remas the same: the process of solvg physcal

More information

Bayes Estimator for Exponential Distribution with Extension of Jeffery Prior Information

Bayes Estimator for Exponential Distribution with Extension of Jeffery Prior Information Malaysa Joural of Mathematcal Sceces (): 97- (9) Bayes Estmator for Expoetal Dstrbuto wth Exteso of Jeffery Pror Iformato Hadeel Salm Al-Kutub ad Noor Akma Ibrahm Isttute for Mathematcal Research, Uverst

More information

L5 Polynomial / Spline Curves

L5 Polynomial / Spline Curves L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a

More information

p y A modified p-y curve method considering rotation of soil resistance

p y A modified p-y curve method considering rotation of soil resistance DOI.779/CJGE48 p p p 5 p 3 p p TU43 A 4548(4)8569 989 E-mal: shagguasq@gmal.com A modfed p- curve method cosderg rotato of sol resstace SHANGGUAN Sh-qg, LIU Hog-ju, PIAO Chu-de 3 (. Collage of Cvl Egeerg,

More information

2006 Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America

2006 Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America SOLUTION OF SYSTEMS OF SIMULTANEOUS LINEAR EQUATIONS Gauss-Sedel Method 006 Jame Traha, Autar Kaw, Kev Mart Uversty of South Florda Uted States of Amerca kaw@eg.usf.edu Itroducto Ths worksheet demostrates

More information

Comparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates

Comparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates Joural of Moder Appled Statstcal Methods Volume Issue Artcle 8 --03 Comparso of Parameters of Logormal Dstrbuto Based O the Classcal ad Posteror Estmates Raja Sulta Uversty of Kashmr, Sragar, Ida, hamzasulta8@yahoo.com

More information

Chapter 11 Systematic Sampling

Chapter 11 Systematic Sampling Chapter stematc amplg The sstematc samplg techue s operatoall more coveet tha the smple radom samplg. It also esures at the same tme that each ut has eual probablt of cluso the sample. I ths method of

More information

MEASURES OF DISPERSION

MEASURES OF DISPERSION MEASURES OF DISPERSION Measure of Cetral Tedecy: Measures of Cetral Tedecy ad Dsperso ) Mathematcal Average: a) Arthmetc mea (A.M.) b) Geometrc mea (G.M.) c) Harmoc mea (H.M.) ) Averages of Posto: a) Meda

More information

Analysis of Lagrange Interpolation Formula

Analysis of Lagrange Interpolation Formula P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal

More information

BAL-001-AB-0a Real Power Balancing Control Performance

BAL-001-AB-0a Real Power Balancing Control Performance Alberta Relablty Stadards Resource ad Demad Balacg BAL-00-AB-0a. Purpose BAL-00-AB-0a Real Power Balacg Cotrol Performace The purpose of ths relablty stadard s to mata WECC steady-state frequecy wth defed

More information

Research Article A New Derivation and Recursive Algorithm Based on Wronskian Matrix for Vandermonde Inverse Matrix

Research Article A New Derivation and Recursive Algorithm Based on Wronskian Matrix for Vandermonde Inverse Matrix Mathematcal Problems Egeerg Volume 05 Artcle ID 94757 7 pages http://ddoorg/055/05/94757 Research Artcle A New Dervato ad Recursve Algorthm Based o Wroska Matr for Vadermode Iverse Matr Qu Zhou Xja Zhag

More information

Block-Based Compact Thermal Modeling of Semiconductor Integrated Circuits

Block-Based Compact Thermal Modeling of Semiconductor Integrated Circuits Block-Based Compact hermal Modelg of Semcoductor Itegrated Crcuts Master s hess Defese Caddate: Jg Ba Commttee Members: Dr. Mg-Cheg Cheg Dr. Daqg Hou Dr. Robert Schllg July 27, 2009 Outle Itroducto Backgroud

More information

Newton s Power Flow algorithm

Newton s Power Flow algorithm Power Egeerg - Egll Beedt Hresso ewto s Power Flow algorthm Power Egeerg - Egll Beedt Hresso The ewto s Method of Power Flow 2 Calculatos. For the referece bus #, we set : V = p.u. ad δ = 0 For all other

More information

Median as a Weighted Arithmetic Mean of All Sample Observations

Median as a Weighted Arithmetic Mean of All Sample Observations Meda as a Weghted Arthmetc Mea of All Sample Observatos SK Mshra Dept. of Ecoomcs NEHU, Shllog (Ida). Itroducto: Iumerably may textbooks Statstcs explctly meto that oe of the weakesses (or propertes) of

More information

4. Standard Regression Model and Spatial Dependence Tests

4. Standard Regression Model and Spatial Dependence Tests 4. Stadard Regresso Model ad Spatal Depedece Tests Stadard regresso aalss fals the presece of spatal effects. I case of spatal depedeces ad/or spatal heterogeet a stadard regresso model wll be msspecfed.

More information

Comparing Different Estimators of three Parameters for Transmuted Weibull Distribution

Comparing Different Estimators of three Parameters for Transmuted Weibull Distribution Global Joural of Pure ad Appled Mathematcs. ISSN 0973-768 Volume 3, Number 9 (207), pp. 55-528 Research Ida Publcatos http://www.rpublcato.com Comparg Dfferet Estmators of three Parameters for Trasmuted

More information

Lecture 1. (Part II) The number of ways of partitioning n distinct objects into k distinct groups containing n 1,

Lecture 1. (Part II) The number of ways of partitioning n distinct objects into k distinct groups containing n 1, Lecture (Part II) Materals Covered Ths Lecture: Chapter 2 (2.6 --- 2.0) The umber of ways of parttog dstct obects to dstct groups cotag, 2,, obects, respectvely, where each obect appears exactly oe group

More information

Determination of woven fabric impact permeability index

Determination of woven fabric impact permeability index Ida Joural of Fbre & Textle Research Vol. 34, September 009, pp. 39-44 Determato of wove fabrc mpact permeablty dex M Tokarska a & K Gotek Departmet for Automato of Textle Processes, Techcal Uversty of

More information

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh

More information

Lecture Notes Types of economic variables

Lecture Notes Types of economic variables Lecture Notes 3 1. Types of ecoomc varables () Cotuous varable takes o a cotuum the sample space, such as all pots o a le or all real umbers Example: GDP, Polluto cocetrato, etc. () Dscrete varables fte

More information

G S Power Flow Solution

G S Power Flow Solution G S Power Flow Soluto P Q I y y * 0 1, Y y Y 0 y Y Y 1, P Q ( k) ( k) * ( k 1) 1, Y Y PQ buses * 1 P Q Y ( k1) *( k) ( k) Q Im[ Y ] 1 P buses & Slack bus ( k 1) *( k) ( k) Y 1 P Re[ ] Slack bus 17 Calculato

More information

FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM

FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM Joural of Appled Matematcs ad Computatoal Mecacs 04, 3(4), 7-34 FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM Ata Cekot, Stasław Kukla Isttute of Matematcs, Czestocowa Uversty of Tecology Częstocowa,

More information

Bootstrap Method for Testing of Equality of Several Coefficients of Variation

Bootstrap Method for Testing of Equality of Several Coefficients of Variation Cloud Publcatos Iteratoal Joural of Advaced Mathematcs ad Statstcs Volume, pp. -6, Artcle ID Sc- Research Artcle Ope Access Bootstrap Method for Testg of Equalty of Several Coeffcets of Varato Dr. Navee

More information

Reliability evaluation of distribution network based on improved non. sequential Monte Carlo method

Reliability evaluation of distribution network based on improved non. sequential Monte Carlo method 3rd Iteratoal Coferece o Mecatrocs, Robotcs ad Automato (ICMRA 205) Relablty evaluato of dstrbuto etwork based o mproved o sequetal Mote Carlo metod Je Zu, a, Cao L, b, Aog Tag, c Scool of Automato, Wua

More information

MODELING AND OPTIMIZATION OF TWO-LAYER POROUS ASPHALT ROADS ABSTRACT 1- INTRODUCTION

MODELING AND OPTIMIZATION OF TWO-LAYER POROUS ASPHALT ROADS ABSTRACT 1- INTRODUCTION 143.DOC/1 MODELING AND OPTIMIZATION OF TWO-LAYER POROUS ASPHALT ROADS A. KUIJPERS, G. VAN BLOKLAND M+P Nose & Vbrato Cosultats, Brustesgel 3, NL-531 AD's, Hertogebosch, Netherlads Tél.: +31 73 648851 /

More information

Quantization in Dynamic Smarandache Multi-Space

Quantization in Dynamic Smarandache Multi-Space Quatzato Dyamc Smaradache Mult-Space Fu Yuhua Cha Offshore Ol Research Ceter, Beg, 7, Cha (E-mal: fuyh@cooc.com.c ) Abstract: Dscussg the applcatos of Dyamc Smaradache Mult-Space (DSMS) Theory. Supposg

More information

Beam Warming Second-Order Upwind Method

Beam Warming Second-Order Upwind Method Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet

More information

A Helmholtz energy equation of state for calculating the thermodynamic properties of fluid mixtures

A Helmholtz energy equation of state for calculating the thermodynamic properties of fluid mixtures A Helmholtz eergy equato of state for calculatg the thermodyamc propertes of flud mxtures Erc W. Lemmo, Reer Tller-Roth Abstract New Approach based o hghly accurate EOS for the pure compoets combed at

More information

PROJECTION PROBLEM FOR REGULAR POLYGONS

PROJECTION PROBLEM FOR REGULAR POLYGONS Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c

More information

A Study of the Reproducibility of Measurements with HUR Leg Extension/Curl Research Line

A Study of the Reproducibility of Measurements with HUR Leg Extension/Curl Research Line HUR Techcal Report 000--9 verso.05 / Frak Borg (borgbros@ett.f) A Study of the Reproducblty of Measuremets wth HUR Leg Eteso/Curl Research Le A mportat property of measuremets s that the results should

More information

A tighter lower bound on the circuit size of the hardest Boolean functions

A tighter lower bound on the circuit size of the hardest Boolean functions Electroc Colloquum o Computatoal Complexty, Report No. 86 2011) A tghter lower boud o the crcut sze of the hardest Boolea fuctos Masak Yamamoto Abstract I [IPL2005], Fradse ad Mlterse mproved bouds o the

More information

Long blade vibration model for turbine-generator shafts torsional vibration analysis

Long blade vibration model for turbine-generator shafts torsional vibration analysis Avalable ole www.ocpr.co Joural of Checal ad Pharaceutcal Research, 05, 7(3):39-333 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 Log blade vbrato odel for turbe-geerator shafts torsoal vbrato aalyss

More information

Simple Linear Regression

Simple Linear Regression Statstcal Methods I (EST 75) Page 139 Smple Lear Regresso Smple regresso applcatos are used to ft a model descrbg a lear relatoshp betwee two varables. The aspects of least squares regresso ad correlato

More information

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Research on scheme evaluation method of automation mechatronic systems

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Research on scheme evaluation method of automation mechatronic systems [ype text] [ype text] [ype text] ISSN : 0974-7435 Volume 0 Issue 6 Boechology 204 Ida Joural FULL PPER BIJ, 0(6, 204 [927-9275] Research o scheme evaluato method of automato mechatroc systems BSRC Che

More information

A Sequential Optimization and Mixed Uncertainty Analysis Method Based on Taylor Series Approximation

A Sequential Optimization and Mixed Uncertainty Analysis Method Based on Taylor Series Approximation 11 th World Cogress o Structural ad Multdscplary Optmsato 07 th -1 th, Jue 015, Sydey Australa A Sequetal Optmzato ad Med Ucertaty Aalyss Method Based o Taylor Seres Appromato aoqa Che, We Yao, Yyog Huag,

More information

Earthquake Resistant Design According to UBC Major Changes from UBC 1994

Earthquake Resistant Design According to UBC Major Changes from UBC 1994 Earthquake Resstat Desg Accordg to UBC 1997 Major Chages from UBC 1994 (1) Sol Profle Types: The four ste coeffcets S 1 to S 4 of the UBC 1994, whch are depedet of the level of groud shakg, were epaded

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

Ahmed Elgamal. MDOF Systems & Modal Analysis

Ahmed Elgamal. MDOF Systems & Modal Analysis DOF Systems & odal Aalyss odal Aalyss (hese otes cover sectos from Ch. 0, Dyamcs of Structures, Al Chopra, Pretce Hall, 995). Refereces Dyamcs of Structures, Al K. Chopra, Pretce Hall, New Jersey, ISBN

More information

ESS Line Fitting

ESS Line Fitting ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here

More information

Lecture 3. Sampling, sampling distributions, and parameter estimation

Lecture 3. Sampling, sampling distributions, and parameter estimation Lecture 3 Samplg, samplg dstrbutos, ad parameter estmato Samplg Defto Populato s defed as the collecto of all the possble observatos of terest. The collecto of observatos we take from the populato s called

More information

Chapter 5 Properties of a Random Sample

Chapter 5 Properties of a Random Sample Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample

More information

Collocation Extraction Using Square Mutual Information Approaches. Received December 2010; revised January 2011

Collocation Extraction Using Square Mutual Information Approaches. Received December 2010; revised January 2011 Iteratoal Joural of Kowledge www.jklp.org ad Laguage Processg KLP Iteratoal c2011 ISSN 2191-2734 Volume 2, Number 1, Jauary 2011 pp. 53-58 Collocato Extracto Usg Square Mutual Iformato Approaches Huaru

More information

This lecture and the next. Why Sorting? Sorting Algorithms so far. Why Sorting? (2) Selection Sort. Heap Sort. Heapsort

This lecture and the next. Why Sorting? Sorting Algorithms so far. Why Sorting? (2) Selection Sort. Heap Sort. Heapsort Ths lecture ad the ext Heapsort Heap data structure ad prorty queue ADT Qucksort a popular algorthm, very fast o average Why Sortg? Whe doubt, sort oe of the prcples of algorthm desg. Sortg used as a subroute

More information

Transforming Numerical Methods Education for the STEM Undergraduate Torque (N-m)

Transforming Numerical Methods Education for the STEM Undergraduate Torque (N-m) Regresso Trasformg Numercal Methods Educato for the STEM udergraduate Applcatos Mousetrap Car Torsoal Stffess of a Mousetrap Sprg 0.4 Torque (N-m 0.3 0. T k 0 k1 θ 0.1 0.5 1 1.5 θ (radas 1 Stress vs Stra

More information

Carbonyl Groups. University of Chemical Technology, Beijing , PR China;

Carbonyl Groups. University of Chemical Technology, Beijing , PR China; Electroc Supplemetary Materal (ESI) for Physcal Chemstry Chemcal Physcs Ths joural s The Ower Socetes 0 Supportg Iformato A Theoretcal Study of Structure-Solublty Correlatos of Carbo Doxde Polymers Cotag

More information

Finite Difference Approximations for Fractional Reaction-Diffusion Equations and the Application In PM2.5

Finite Difference Approximations for Fractional Reaction-Diffusion Equations and the Application In PM2.5 Iteratoal Symposum o Eergy Scece ad Chemcal Egeerg (ISESCE 5) Fte Dfferece Appromatos for Fractoal Reacto-Dffuso Equatos ad the Applcato I PM5 Chagpg Xe, a, Lag L,b, Zhogzha Huag,c, Jya L,d, PegLag L,e

More information

Journal of Chemical and Pharmaceutical Research, 2014, 6(7): Research Article

Journal of Chemical and Pharmaceutical Research, 2014, 6(7): Research Article Avalable ole www.jocpr.com Joural of Chemcal ad Pharmaceutcal Research, 2014, 6(7):1035-1041 Research Artcle ISSN : 0975-7384 CODEN(SA) : JCPRC5 Desg ad developmet of kowledge maagemet platform for SMEs

More information

STA302/1001-Fall 2008 Midterm Test October 21, 2008

STA302/1001-Fall 2008 Midterm Test October 21, 2008 STA3/-Fall 8 Mdterm Test October, 8 Last Name: Frst Name: Studet Number: Erolled (Crcle oe) STA3 STA INSTRUCTIONS Tme allowed: hour 45 mutes Ads allowed: A o-programmable calculator A table of values from

More information

Determination of angle of attack for rotating blades

Determination of angle of attack for rotating blades Determato of agle of attack for rotatg blades Hora DUMITRESCU 1, Vladmr CARDOS*,1, Flor FRUNZULICA 1,, Alexadru DUMITRACHE 1 *Correspodg author *,1 Gheorghe Mhoc-Caus Iacob Isttute of Mathematcal Statstcs

More information

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model

( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model Chapter 3 Asmptotc Theor ad Stochastc Regressors The ature of eplaator varable s assumed to be o-stochastc or fed repeated samples a regresso aalss Such a assumpto s approprate for those epermets whch

More information

THREE-DIMENSIONAL POROELASTIC SIMULATION OF HYDRAULIC AND NATURAL FRACTURES USING THE DISPLACEMENT DISCONTINUITY METHOD

THREE-DIMENSIONAL POROELASTIC SIMULATION OF HYDRAULIC AND NATURAL FRACTURES USING THE DISPLACEMENT DISCONTINUITY METHOD PROCEEDINGS, Thrty-Fourth Workshop o Geothermal Reservor Egeerg Staford Uversty, Staford, Calfora, February 9-11, 9 SGP-TR-187 THREE-DIMENSIONAL POROELASTIC SIMULATION OF HYDRAULIC AND NATURAL FRACTURES

More information

Chapter 8. Inferences about More Than Two Population Central Values

Chapter 8. Inferences about More Than Two Population Central Values Chapter 8. Ifereces about More Tha Two Populato Cetral Values Case tudy: Effect of Tmg of the Treatmet of Port-We tas wth Lasers ) To vestgate whether treatmet at a youg age would yeld better results tha

More information

Manipulator Dynamics. Amirkabir University of Technology Computer Engineering & Information Technology Department

Manipulator Dynamics. Amirkabir University of Technology Computer Engineering & Information Technology Department Mapulator Dyamcs mrkabr Uversty of echology omputer Egeerg formato echology Departmet troducto obot arm dyamcs deals wth the mathematcal formulatos of the equatos of robot arm moto. hey are useful as:

More information

Periodic Table of Elements. EE105 - Spring 2007 Microelectronic Devices and Circuits. The Diamond Structure. Electronic Properties of Silicon

Periodic Table of Elements. EE105 - Spring 2007 Microelectronic Devices and Circuits. The Diamond Structure. Electronic Properties of Silicon EE105 - Srg 007 Mcroelectroc Devces ad Crcuts Perodc Table of Elemets Lecture Semcoductor Bascs Electroc Proertes of Slco Slco s Grou IV (atomc umber 14) Atom electroc structure: 1s s 6 3s 3 Crystal electroc

More information

EFFECT OF PITCH AND NOMINAL DIAMETER ON LOAD DISTRIBUTION AND EFFICIENCY IN MINIATURE LEAD SCREW DRIVES

EFFECT OF PITCH AND NOMINAL DIAMETER ON LOAD DISTRIBUTION AND EFFICIENCY IN MINIATURE LEAD SCREW DRIVES IJRE: Iteratoal Joural of Research Egeerg ad echology eissn: 2319-1163 pissn: 2321-73 EFFEC OF PICH AND NOMINAL DIAMEER ON LOAD DISRIBUION AND EFFICIENCY IN MINIAURE LEAD SCREW DRIVES Vkrat Karmarkar 1,

More information

A New Method for Decision Making Based on Soft Matrix Theory

A New Method for Decision Making Based on Soft Matrix Theory Joural of Scetfc esearch & eports 3(5): 0-7, 04; rtcle o. JS.04.5.00 SCIENCEDOMIN teratoal www.scecedoma.org New Method for Decso Mag Based o Soft Matrx Theory Zhmg Zhag * College of Mathematcs ad Computer

More information

Some Notes on the Probability Space of Statistical Surveys

Some Notes on the Probability Space of Statistical Surveys Metodološk zvezk, Vol. 7, No., 200, 7-2 ome Notes o the Probablty pace of tatstcal urveys George Petrakos Abstract Ths paper troduces a formal presetato of samplg process usg prcples ad cocepts from Probablty

More information

Mean is only appropriate for interval or ratio scales, not ordinal or nominal.

Mean is only appropriate for interval or ratio scales, not ordinal or nominal. Mea Same as ordary average Sum all the data values ad dvde by the sample sze. x = ( x + x +... + x Usg summato otato, we wrte ths as x = x = x = = ) x Mea s oly approprate for terval or rato scales, ot

More information

Section l h l Stem=Tens. 8l Leaf=Ones. 8h l 03. 9h 58

Section l h l Stem=Tens. 8l Leaf=Ones. 8h l 03. 9h 58 Secto.. 6l 34 6h 667899 7l 44 7h Stem=Tes 8l 344 Leaf=Oes 8h 5557899 9l 3 9h 58 Ths dsplay brgs out the gap the data: There are o scores the hgh 7's. 6. a. beams cylders 9 5 8 88533 6 6 98877643 7 488

More information

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen.

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen. .5 x 54.5 a. x 7. 786 7 b. The raked observatos are: 7.4, 7.5, 7.7, 7.8, 7.9, 8.0, 8.. Sce the sample sze 7 s odd, the meda s the (+)/ 4 th raked observato, or meda 7.8 c. The cosumer would more lkely

More information

On Fuzzy Arithmetic, Possibility Theory and Theory of Evidence

On Fuzzy Arithmetic, Possibility Theory and Theory of Evidence O Fuzzy rthmetc, Possblty Theory ad Theory of Evdece suco P. Cucala, Jose Vllar Isttute of Research Techology Uversdad Potfca Comllas C/ Sata Cruz de Marceado 6 8 Madrd. Spa bstract Ths paper explores

More information

Descriptive Statistics

Descriptive Statistics Page Techcal Math II Descrptve Statstcs Descrptve Statstcs Descrptve statstcs s the body of methods used to represet ad summarze sets of data. A descrpto of how a set of measuremets (for eample, people

More information

Chapter Statistics Background of Regression Analysis

Chapter Statistics Background of Regression Analysis Chapter 06.0 Statstcs Backgroud of Regresso Aalyss After readg ths chapter, you should be able to:. revew the statstcs backgroud eeded for learg regresso, ad. kow a bref hstory of regresso. Revew of Statstcal

More information

Random Variables and Probability Distributions

Random Variables and Probability Distributions Radom Varables ad Probablty Dstrbutos * If X : S R s a dscrete radom varable wth rage {x, x, x 3,. } the r = P (X = xr ) = * Let X : S R be a dscrete radom varable wth rage {x, x, x 3,.}.If x r P(X = x

More information

HOOKE'S LAW. THE RATE OR SPRING CONSTANT k.

HOOKE'S LAW. THE RATE OR SPRING CONSTANT k. Practces Group Sesso Date Phscs Departmet Mechacs Laborator Studets who made the practce Stamp cotrol Deadle Date HOOKE'S LAW. THE RATE OR SPRING CONSTANT k. IMPORTANT: Iclude uts ad errors all measuremets

More information

RECURSIVE FORMULATION FOR MULTIBODY DYNAMICS

RECURSIVE FORMULATION FOR MULTIBODY DYNAMICS ultbody Dyamcs Lecture Uversty of okyo, Japa Dec. 8, 25 RECURSIVE FORULAION FOR ULIODY DYNAICS Lecturer: Sug-Soo m Professor, Dept. of echatrocs Egeerg, orea Vstg Professor, Ceter for Collaboratve Research

More information

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information

Consistency test of martial arts competition evaluation criteria based on mathematical ahp model

Consistency test of martial arts competition evaluation criteria based on mathematical ahp model ISSN : 0974-7435 Volume 8 Issue 2 BoTechology BoTechology A Ida Joural Cosstecy test of martal arts competto evaluato crtera based o mathematcal ahp model Hu Wag Isttute of Physcal Educato, JagSu Normal

More information

Simulation Output Analysis

Simulation Output Analysis Smulato Output Aalyss Summary Examples Parameter Estmato Sample Mea ad Varace Pot ad Iterval Estmato ermatg ad o-ermatg Smulato Mea Square Errors Example: Sgle Server Queueg System x(t) S 4 S 4 S 3 S 5

More information

Kangwon National University, South Korea

Kangwon National University, South Korea Evaluato of WAT Auto-calbrato usg Dverse Effcecy Crtera 0 Iteratoal WAT Coferece Hyuwoo Kag Kagwo Natoal Uversty, outh Korea Itroducto Calbrato ad Valdato of hydrologcal model Nash-utclffe Model Effcecy

More information

DISPLACEMENT-BASED SEISMIC DESIGN OF MDOF CONTINUOUS GIRDER BRIDGES

DISPLACEMENT-BASED SEISMIC DESIGN OF MDOF CONTINUOUS GIRDER BRIDGES 3 th World Coferece o Earthquake Egeerg Vacouver, B.C., Caada August -6, 004 Paper No. 05 DISPLACEMENT-BASED SEISMIC DESIGN OF MDOF CONTINUOUS GIRDER BRIDGES X ZHU ad Jawe HUANG SUMMARY The proposed procedure

More information

Analysis of System Performance IN2072 Chapter 5 Analysis of Non Markov Systems

Analysis of System Performance IN2072 Chapter 5 Analysis of Non Markov Systems Char for Network Archtectures ad Servces Prof. Carle Departmet of Computer Scece U Müche Aalyss of System Performace IN2072 Chapter 5 Aalyss of No Markov Systems Dr. Alexader Kle Prof. Dr.-Ig. Georg Carle

More information

DATE: 21 September, 1999 TO: Jim Russell FROM: Peter Tkacik RE: Analysis of wide ply tube winding as compared to Konva Kore CC: Larry McMillan

DATE: 21 September, 1999 TO: Jim Russell FROM: Peter Tkacik RE: Analysis of wide ply tube winding as compared to Konva Kore CC: Larry McMillan M E M O R A N D U M DATE: 1 September, 1999 TO: Jm Russell FROM: Peter Tkack RE: Aalyss of wde ply tube wdg as compared to Kova Kore CC: Larry McMlla The goal of ths report s to aalyze the spral tube wdg

More information

X ε ) = 0, or equivalently, lim

X ε ) = 0, or equivalently, lim Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece

More information

PREDICTION OF VAPOR-LIQUID EQUILIBRIA OF BINARY MIXTURES USING QUANTUM CALCULATIONS AND ACTIVITY COEFFICIENT MODELS

PREDICTION OF VAPOR-LIQUID EQUILIBRIA OF BINARY MIXTURES USING QUANTUM CALCULATIONS AND ACTIVITY COEFFICIENT MODELS Joural of Chemstry, Vol. 47 (5), P. 547-55, 9 PREDICTIO OF VAPOR-LIQUID EQUILIBRIA OF BIARY MIXTURES USIG QUATUM CALCULATIOS AD ACTIVITY COEFFICIET MODELS Receved May 8 PHAM VA TAT Departmet of Chemstry,

More information

4- Earthquake Resistant Design According To 1994 UBC

4- Earthquake Resistant Design According To 1994 UBC 94 4- Earthquake Resstat Desg Accordg To 1994 UBC The Statc Lateral Force Procedure 4-1 Applcablty: The statc lateral force procedure may be used for the followg structures: A. All structures, regular

More information

Entropy ISSN by MDPI

Entropy ISSN by MDPI Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,

More information

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace

More information

EARTHQUAKE SIMULATION AND RESPONSE OF WINE-BARREL STACKS

EARTHQUAKE SIMULATION AND RESPONSE OF WINE-BARREL STACKS The 14 th World Coferece o Earthquake Egeerg October 12-17, 2008, Bejg, Cha EARTHQUAKE SIMULATION AND RESPONSE OF WINE-BARREL STACKS Gabrel Cada 1, Jua C. de la Llera 2, José L. Almazá 2 1 M.Eg., Dept.

More information

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK

ANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION

More information