MINIMUM-WEIGHT DESIGN OF COMPRESSIVELY LOADED COMPOSITE PLATES AND STIFFENED PANELS FOR POSTBUCKLING STRENGTH BY GENETIC ALGORITHM

Size: px
Start display at page:

Download "MINIMUM-WEIGHT DESIGN OF COMPRESSIVELY LOADED COMPOSITE PLATES AND STIFFENED PANELS FOR POSTBUCKLING STRENGTH BY GENETIC ALGORITHM"

Transcription

1 MINIMUM-WEIGHT DESIGN OF COMPRESSIVELY LOADED COMPOSITE PLATES AND STIFFENED PANELS FOR POSTBUCKLING STRENGTH BY GENETIC ALGORITHM Ji-Ho Kag a, Jae-Hu Lee a, Joo-Hyu Ha a, Chu-Go Kim a, ad Dog-Mi Lee b a Divisio of Aerospace Egieerig, Departmet of Mechaical Egieerig Korea Advaced Istitute of Sciece ad Techology 373-1, Kuseog-dog, Yuseog-gu, Daejeo, 35-71, Korea b Agecy of Defese Developmet, Yuseog P. O. Box 35, Daejeo, Korea SUMMARY: The miimum-weight desig of compressively loaded lamiated plates ad stiffeed paels was aimed uder costraied postbucklig stregth i this paper. A oliear fiite elemet code, COSAP(COmposite Structure Aalysis Program) was applied to aalyze the precise bucklig ad postbucklig behaviour. As a optimizatio techique, Geetic Algorithm was used to fid the optimum poits i the desig space. A covetioal geetic algorithm was modified with two ew techiques. Oe is the use of the pre-calculated result to reduce the calculatio cost, ad the other is the use of variable populatio size i geetic algorithm to fid better optimum poits. The modified Geetic Algorithm code was the parallelized with MPI(Message Passig Iterface) library ad the optimizatio was executed with a parallel-computig supercomputer, CRAY T3E. The optimal desig was performed i two cases; a composite plate ad a composite stiffeed pael. The desig variables were umber of plies ad the ply agle i each ply. I case of the stiffeed paels, the size ad spacig of the stiffeers were also cosidered as the desig variables. The objective fuctio was defied as the product of the odimesioal weight ad stregth. The optimizatio was performed with two chose examples, ad the results showed that the optimal desigs have better performaces tha covetioal desigs. KEYWORDS: weight-miimizatio, optimal desig, geetic algorithm, composite, postbucklig INTRODUCTION Fiber reiforced composite materials have superior characteristics as the variable stackig sequeces

2 ad ply agles whe compared to covetioal materials. Therefore optimal desig ca be achieved by determiig the proper stackig sequeces ad ply agles. However, there are some difficulties i optimal desig like discreteess of the desig values ad complexity of the desig spaces. I 199 s, may researches usig discrete ply agles as desig variables were coducted[1-5]. I the previous researches, it is ievitable to use discrete ply agles such as, 9, or ±45 for desigig realistic composite structures. Weight ad maufacturig efficiecy as well as stiffess or stregth were cosidered. Furthermore the umber of plies ad the shapes should be optimized to reduce weight, ad some researchers cosidered them. Oe more importat issue is cosiderig postbucklig behavior. Bucklig of aerospace structures does ot mea whole structural collapse ad it is reasoable to desig structures allowig bucklig of skis[1,5]. I this paper, the miimum-weight desig of compressively loaded lamiated plates ad stiffeed paels was performed usig a oliear fiite elemet code ad a modified geetic algorithm with parallel computig scheme. NONLINEAR FINITE ELEMENT ANALYSIS FOR COMPOSITE STRUCTURES A oliear fiite elemet aalysis code for composite structures, COSAP(COmposite Structure Aalysis Program) which was developed i the papers[6-8], was used to aalyze bucklig ad postbucklig behavior of composite plates ad stiffeed paels i this study. A brief formulatio procedure of the aalysis is stated below. At a arbitrary (+1)th equilibrium state, the priciple of virtual work without body force terms ca be rewritte i terms of the secod Piola-Kirchhoff stress, S ij ad the Gree strai, ε ij with takig the cofiguratio at the th equilibrium state as the referece oe: V ( ij + Sij) δ( εij) dv ( Ti + Ti) δ( ui) ds = S σ (1) T where σ ij, e ij, T i, u i, ad δ are the Cauchy stress, ifiitesimal strai, surface tractio, displacemet, ad variatio operator respectively. The Gree strai, Δε ij ca be divided ito the liear term, Δe ij ad oliear term, Δη ij. ε = + (2) ij eij ηij By substitutig Δε ij give i eq (2) to eq (1), elimiatig secod-order terms, ad implemetig stress-strai relatio, the equatio ca be obtaied as

3 = S T ( eij) Dijkl ekldv + σ ( u ) u ijδ k, i k V ( Ti + Ti) δ( ui) ds σ ( e )dv V ijδ ij δ, j V dv (3) where D ijkl is the stress-strai relatio matrix i he global coordiate system. The degeerated shell elemet with 8-odes is used for the formulatio. Each ode has 5 DOF s ad the shear deformatio was cosidered from the first-order shear deformatio theory. The strai ad the displacemet ca be expressed with the shape fuctios of the elemet ad the odal DOF vector. { e} = [ B ]{ U } { u, } = [ B ]{ U } L, (4) k NL The fiite elemet equatio ca be obtaied by puttig eq (4) to eq (3) as ([ K ] [ K ]){ U } = { P} L + (5) NL where = (6) [ ] [ ] T L L [ ][ L] K B D B dv V = σ (7) T [ NL] [ NL] [ ][ NL] K B B dv V T { P} = [ B ] { } dv { F } σ (8) V I the previous eqs, {F} is the odal force vector ad { σ }, [ σ ], ad [ σ ] are defied as follows. L { } [ σ σ σ τ τ τ ] T σ = (9) x y z yz xz xy σ x τ xy τ xz [ σ ] = τ xy σ y τ yz (1) τ xz τ yz σ z [ σ] [ σ] = [ σ] [ ] σ (11)

4 I the iteratio process of the fiite elemet equatio, the arc-legth method was used i the loadicremet. To estimate the failure load of the structures, the maximum stress criterio is applied to the average stresses i the pricipal material directios of each layer i each elemet. The stress compoet correspodig to the failure mode is uloaded istataeously. The postbucklig stregth is assumed to be the load at the momet of the first fiber failure. GENETIC ALGORITHM Geetic algorithm[7] was used as the optimizatio method i this study. It simulates the atural evolutio so that multiple desig poits evolve to be coverged to a global optimum. Its calculatio process uses odetermiistic scheme ad has othig to do with differetiability or covexity. The most useful advatage is that it uses discrete desig variables by ature; therefore, it is simple to use the discrete ply agles of composites as desig variables. Parallel Computig Techique Geetic algorithm is the oe that is very suitable for parallel computig scheme because multiple desig poits should be evaluated i a calculatio step. I other words, the algorithm ca be programmed so that multiple desig poits i a geeratio may be divided ito some sub-populatio ad oe processor i a parallel computer calculates oe sub-populatio respectively. The programmig was doe with MPI(Message Passig Iterface) library i this study. Its schematic diagram is show i Fig. 1. The computig system used was CRAY-T3E i the KISTI Supercomputig Ceter i Korea ad 16 processors of the system were implemeted i this study. Modificatio of Geetic Algorithm for Acceleratio I Geetic algorithm process, the fitess of the whole populatio should be evaluated for each geeratio. However, populatio aggregates to a optimum as covergece is accomplished ad some desig poits that are same to the oes i the previous geeratio are re-evaluated, which meas the waste of computig resources ad time. Therefore, it is ecessary to avoid the waste by modifyig the algorithm. There ca be may kids of modificatios possible but we implemeted our ow idea to solve the problem. The procedure ca be explaied briefly as follows: 1. Write all the fitess evaluatio results ito a file. 2. Make ew geeratio cosiderig the fitess of the populatio. 3. I the ew geeratio, fid out which desig poit is same to the previous oe that is i the writte file.

5 4. Read the writte results from the file for the overlapped desig poits that are foud i Step Do the real evaluatio for ewly geerated desig poits oly. 6. Apped the fitess evaluatio results i Step 3 to the file. 7. Go to Step 2 ad repeat the procedure. This method dramatically reduces the umber of the real evaluatio of fitess values. However, the fidig process(step 3) might be a time-cosumig work, so the method should be applied carefully. I this study, we used the oliear fiite elemet aalysis for the fitess evaluatio. The time cosumptio of the fitess evaluatio is eormous ad caot be compared with the method stated above. Therefore, we decided to apply this method ad modify the Geetic Algorithm. Oe more thig was implemeted i the modificatio, the variable populatio size. The populatio size automatically icreases i order to guaratee that the miimum of the umber of the real evaluatio of fitess is equal to or greater tha a particular umber which the desiger desigates. The utility of the variable populatio size makes the algorithm robust eve i the case where the iitial populatio size is relatively small ad too early covergece is iduced, which is udesirable. Root processor Start Other processors Sed iformatio to be shared Radom geeratio of iitial populatio Receive iformatio to be shared Sed cotrol sigal CALC Divide populatio to sub-populatios Sed each sub-populatio to correspodig processor Receive cotrol sigal Yes EXIT? No Receive my sub-populatio from root processor SPBUCK Evaluate fitess of each desig poit i my sub-populatio Evaluate fitess of each desig poit i my sub-populatio SPBUCK Receive each sub-populatio from correspodig processor Sed my sub-populatio to root processor Assemble sub-populatios to make whole populatio Select & reproduce ew populatio Crossover & mutatio Coverged? Yes No Sed cotrol sigal EXIT Ed Fig. 1. Schematic diagram of Geetic Algorithm with parallel computig.

6 OPTIMAL DESIGN OF COMPOSITE PLATES AND STIFFENED PANELS Problem Defiitio The optimal shapes, stackig sequeces, ad ply agles were searched for some composite structures with the modified Geetic Algorithm stated above. The objective of the optimizatio was to fid the miimum weights of the structures that resist desig stregth. The objective fuctio was defied as: f = W W max P 11P fail fail, desig fail 1Ncr + P P fail, desig,, P P fail fail P < P fail, desig fail, desig (12) where W max is the possible heaviest weight ad W is the weight of the desig poit. P fail,desig ad P fail are the desig stregth ad the stregth of the desig poit respectively. Optimal Desig of Composite Plates The shape of the plate, the boudary coditios, ad the loadig coditios are show i Fig. 2. The possible maximum umbers of plies was set to 16 ad oly 8 plies were used as desig variables because all lamiates were assumed to be symmetric. The usable ply agles were set to, ±45, 9 for practical applicatio. The material properties of the composite material are show i Table 1. The desig stregth was fixed 3kN i this example. Fig. 2. The shape, the boudary coditios, ad the loadig coditios of composite plate.

7 Table 1. The material properties of the composite material property value property value E GPa ν E 2 1. GPa ν E 3 1. GPa ν G GPa ν G GPa ν G GPa ν X T 1933 Mpa Y T 51 Mpa X C 151 MPa Y C 141 MPa S 61 MPa ply thickess.125 mm The optimizatio result showed that the optimal stakig sequece ad ply agles were [/9/ 2 /9] S. The optimized plate has the stregth of 34.9kN which is 16% greater tha the desig value ad is 37.5% lighter tha the possible heaviest plate. Fig. 3 shows the load-deflectio curves of three differet plates of same weight; the optimized plate, a quasi-isotropic plate with [/±36/±72] S, ad a uidirectioal plate with [ 1 ] T. It shows that oly the optimized plate resists the desig stregth. Fig. 3. Load-deflectio curves of three differet plates of same weight: the optimized plate, a quasiisotropic plate, ad a uidirectioal plate.

8 Optimal Desig of Composite Stiffeed Paels The shape of the stiffeed pael, the boudary coditios, ad the loadig coditios are show i Fig. 4. The desig variables were selected as show i Table 2. The material properties of the composite material are the same as i Table 1. I order to determie the referece desig stregth, a composite stiffeed pael which has the shape ad the stackig sequece as show i Table 3 was selected ad the postbucklig aalysis was performed for the referece stiffed pael. As the result of the aalysis, the stregth of the pael was 65.5kN ad we set the desig stregth to be a slightly smaller value, 6kN. Table 2. Defiitio of desig variables of composite stiffeed pael desig Ski size L (mm) 25 W (mm) 16 Stiffeer type I Desig failure load, P fail.desig (N) 6 s mi (mm) 25 Stiffeer Locatio, s s max (mm) 56 bits * 5 Flage size, f (mm) 24 (fixed) w mi (mm) 15 Web size, w w max (mm) 78 bits * 6 c mi (mm) 15 Cap size, c c max (mm) 78 bits * 6 Max. umber of the ski plies 8 2 Max. umber of the stiffer plies 8 2 Bits for a degree 3 Total bits 65 Number of possible desigs * : umber of bits for s, w, c. Table 3. Shape ad stackig sequece of the referece composite stiffeed pael Stiffeer locatio, Web height, Cap width, Ski stackig Stiffeer stackig Ultimate failure Weight, W s (mm) w (mm) c (mm) sequece sequece load, P fail (N) (mm 3 ) [/9/±45] S [/9/±45] S

9 The optimizatio result is show i Table 4. The stregth is 72kN which is quite larger tha the referece desig value; however, the weight is smaller tha the result of the pael i Table 3. Fig. 4 shows the compariso of the load-deflectio curves ad the bucklig shapes betwee the referece stiffeed pael i Table 3 ad the optimized result. Table 4. Optimal desig results of composite stiffeed paels Stiffeer locatio, Web height, Cap width, Ski stackig Stiffeer stackig Ultimate failure Weight, W s (mm) w (mm) c (mm) sequece sequece load, P fail (N) (mm 3 ) [-45/9 2 ] S [45//45/ 2 ] S Load, P (N) Referece 2 1 Referece Stiffeed Pael Optimal Result Shear Failure Matrix Failure Fiber Failure Deflectio, u (mm) Optimal Desig Fig. 4. Compariso of the load-deflectio curves ad bucklig modes betwee the referece ad the optimized result. CONCLUSION I this paper, the weight optimizatios of composite structures were studied with cosiderig the postbucklig behavior of composite structures. I order to estimate the postbucklig behavior, a oliear fiite elemet aalysis code was applied ad the modified Geetic Algorithm was used as the optimizatio method. The optimizatio was performed for composite plates ad stiffeed paels ad the result showed that the preset optimal desigs have better performaces tha covetioal desigs.

10 REFERENCES [1] D. K. Shi ad Jr. O. H. Griffi, "Miimum-Weight Desig of Lamiated Composite Plates for Postbucklig Performace," AIAA Paper, preseted at the AIAA/ASME/ASCE/AHS 31th structures, Structural Dyamics, ad Materials Coferece, pp , [2] S. Adali, A. Richter, V. E. Verijeko ad E. B. Summers, "Optimal Desig of Hybrid Lamiates with Discrete Ply Agles for Maximum Bucklig Load ad Miimum Cost," Composite Structures, Vol.32, pp , [3] B. Malott, R. C. Averill, E. D. Goodma ad W. F. Puch, "Use of Geetic Algorithms for Optimal Desig of Lamiated Composite Sadwich Paels with Bedig-Twistig Couplig," AIAA Paper, preseted at the AIAA/ASME/ASCE/AHS 36th structures, Structural Dyamics, ad Materials Coferece, pp , [4] A. S. Fie ad G. S. Spriger, "Desig of Composite Lamiates for Stregth, weight, ad Maufacturig," Joural of Composite Materials, Vol.31, No.23, pp , [5] C. A. Perry. Z. Gürdal ad J. H. Stares JR, "Miimum-Weight Desig of Compressively Loaded Stiffeed Paels for Postbucklig Respose", Egieerig Optimizatio, Vol.28, pp , [6] J. H. Kweo ad C. S. Hog, A Improved Arc-Legth Method for Postbucklig Aalysis of Composite Cylidrical Paels, Computers & Structures, Vol.53, pp , [7] C. W. Kog, I. C. Lee, C. G. Kim, ad C. S. Hog, Postbucklig ad failure of stiffeed composite paels uder axial compressio, Composite Structures, Vol.42, pp.13-21, [8] C. W. Kog, C. S. Hog, ad C. G. Kim, Postbucklig Stregth of Composite Plate with a Hole, Reiforced Plastics ad Composites, Vol.2, pp , 21. [9] D. E. Goldberg, Geetic Algorithms i Search, Optimizatio ad Machie Learig, Addiso Wesley, Bosto, MA, 1989.

EVALUATION OF GLASS FIBER/EPOXY INTERFACIAL STRENGTH BY THE CRUCIFORM SPECIMEN METHOD

EVALUATION OF GLASS FIBER/EPOXY INTERFACIAL STRENGTH BY THE CRUCIFORM SPECIMEN METHOD EVALUATION OF GLASS FIBER/EPOX INTERFACIAL STRENGTH B THE CRUCIFORM SPECIMEN METHOD Ju KOANAGI, Hajime KATO, Akihiro KASHIMA, uichi IGARASHI, Keichi WATANABE 3, Ichiro UENO 4 ad Shiji OGIHARA 4 Istitute

More information

MATHEMATICAL MODELLING OF ARCH FORMATION IN GRANULAR MATERIALS

MATHEMATICAL MODELLING OF ARCH FORMATION IN GRANULAR MATERIALS 6 th INTERNATIONAL MULTIDISCIPLINARY CONFERENCE MATHEMATICAL MODELLING OF ARCH FORMATION IN GRANULAR MATERIALS Istva eppler SZIE Faculty of Mechaics, H-2103 Gödöllő Páter. 1., Hugary Abstract: The mathematical

More information

A CONFINEMENT MODEL OF HIGH STRENGTH CONCRETE

A CONFINEMENT MODEL OF HIGH STRENGTH CONCRETE 3 th World Coferece o Earthquake Egieerig Vacouver, B.C., Caada August -6, 24 Paper No. 873 A CONFINEMENT MODEL OF HIGH STRENGTH CONCRETE Nobutaka NAKAZAWA, Kazuhiko KAWASHIMA 2, Gakuho WATANABE 3, Ju-ichi

More information

PILOT STUDY ON THE HORIZONTAL SHEAR BEHAVIOUR OF FRP RUBBER ISOLATORS

PILOT STUDY ON THE HORIZONTAL SHEAR BEHAVIOUR OF FRP RUBBER ISOLATORS Asia-Pacific Coferece o FRP i Structures (APFIS 2007) S.T. Smith (ed) 2007 Iteratioal Istitute for FRP i Costructio PILOT STUDY ON THE HORIZONTAL SHEAR BEHAVIOUR OF FRP RUBBER ISOLATORS T.B. Peg *, J.Z.

More information

Dynamical stability and parametrical vibrations of the laminated plates with complex shape

Dynamical stability and parametrical vibrations of the laminated plates with complex shape (3) 75 88 Dyamical stability ad parametrical vibratios of the lamiated plates with comple shape Abstract The problem of oliear vibratios ad stability aalysis for the symmetric lamiated plates with comple

More information

Using Spreadsheets as a Computational Tool in Teaching Mechanical. Engineering

Using Spreadsheets as a Computational Tool in Teaching Mechanical. Engineering Proceedigs of the th WSEAS Iteratioal Coferece o COMPUTERS, Vouliagmei, Athes, Greece, July 3-5, 6 (pp35-3) Usig Spreadsheets as a Computatioal Tool i Teachig Mechaical Egieerig AHMADI-BROOGHANI, ZAHRA

More information

Analysis of composites with multiple rigid-line reinforcements by the BEM

Analysis of composites with multiple rigid-line reinforcements by the BEM Aalysis of composites with multiple rigid-lie reiforcemets by the BEM Piotr Fedeliski* Departmet of Stregth of Materials ad Computatioal Mechaics, Silesia Uiversity of Techology ul. Koarskiego 18A, 44-100

More information

FAILURE CRITERIA: MOHR S CIRCLE AND PRINCIPAL STRESSES

FAILURE CRITERIA: MOHR S CIRCLE AND PRINCIPAL STRESSES LECTURE Third Editio FAILURE CRITERIA: MOHR S CIRCLE AND PRINCIPAL STRESSES A. J. Clark School of Egieerig Departmet of Civil ad Evirometal Egieerig Chapter 7.4 b Dr. Ibrahim A. Assakkaf SPRING 3 ENES

More information

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations Abstract ad Applied Aalysis Volume 2013, Article ID 487062, 4 pages http://dx.doi.org/10.1155/2013/487062 Research Article A New Secod-Order Iteratio Method for Solvig Noliear Equatios Shi Mi Kag, 1 Arif

More information

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS Please cite this article as: Staisław Kula, Method of fudametal solutios for Helmholtz eigevalue problems i elliptical domais, Scietific Research of the Istitute of Mathematics ad Computer Sciece, 009,

More information

Numerical Simulation of Thermomechanical Problems in Applied Mechanics: Application to Solidification Problem

Numerical Simulation of Thermomechanical Problems in Applied Mechanics: Application to Solidification Problem Leoardo Joural of Scieces ISSN 1583-0233 Issue 9, July-December 2006 p. 25-32 Numerical Simulatio of Thermomechaical Problems i Applied Mechaics: Applicatio to Solidificatio Problem Vicet Obiajulu OGWUAGWU

More information

Principle Of Superposition

Principle Of Superposition ecture 5: PREIMINRY CONCEP O RUCUR NYI Priciple Of uperpositio Mathematically, the priciple of superpositio is stated as ( a ) G( a ) G( ) G a a or for a liear structural system, the respose at a give

More information

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series

More information

Inelastic spherical caps with defects

Inelastic spherical caps with defects Ielastic spherical caps with defects JAAN LLLP RNST TUNGL Istitute of athematics Uiversity of Tartu Liivi str Tartu 549 STONIA aalellep@utee Tartu College Talli Uiversity of Techology Puiestee 78 58 Tartu

More information

Machine Learning for Data Science (CS 4786)

Machine Learning for Data Science (CS 4786) Machie Learig for Data Sciece CS 4786) Lecture & 3: Pricipal Compoet Aalysis The text i black outlies high level ideas. The text i blue provides simple mathematical details to derive or get to the algorithm

More information

Analysis of deep drawing process to predict the forming severity considering inverse finite element and extended strain-based forming limit diagram

Analysis of deep drawing process to predict the forming severity considering inverse finite element and extended strain-based forming limit diagram Aalysis of deep drawig process to predict the formig severity cosiderig iverse fiite elemet ad exteded strai-based formig limit diagram M. Bosta Shiri a, R. Hashemi b ad A. Assempour c,* a School of biomedical

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

Reliability and Queueing

Reliability and Queueing Copyright 999 Uiversity of Califoria Reliability ad Queueig by David G. Messerschmitt Supplemetary sectio for Uderstadig Networked Applicatios: A First Course, Morga Kaufma, 999. Copyright otice: Permissio

More information

OBJECTIVES. Chapter 1 INTRODUCTION TO INSTRUMENTATION FUNCTION AND ADVANTAGES INTRODUCTION. At the end of this chapter, students should be able to:

OBJECTIVES. Chapter 1 INTRODUCTION TO INSTRUMENTATION FUNCTION AND ADVANTAGES INTRODUCTION. At the end of this chapter, students should be able to: OBJECTIVES Chapter 1 INTRODUCTION TO INSTRUMENTATION At the ed of this chapter, studets should be able to: 1. Explai the static ad dyamic characteristics of a istrumet. 2. Calculate ad aalyze the measuremet

More information

Some New Iterative Methods for Solving Nonlinear Equations

Some New Iterative Methods for Solving Nonlinear Equations World Applied Scieces Joural 0 (6): 870-874, 01 ISSN 1818-495 IDOSI Publicatios, 01 DOI: 10.589/idosi.wasj.01.0.06.830 Some New Iterative Methods for Solvig Noliear Equatios Muhammad Aslam Noor, Khalida

More information

Markov Decision Processes

Markov Decision Processes Markov Decisio Processes Defiitios; Statioary policies; Value improvemet algorithm, Policy improvemet algorithm, ad liear programmig for discouted cost ad average cost criteria. Markov Decisio Processes

More information

TOTAL INCREMENTAL ITERATIVE FORCE RECOVERY METHOD AND THE APPLICATION IN PLASTIC HINGE ANALYSIS OF STEEL FRAMES

TOTAL INCREMENTAL ITERATIVE FORCE RECOVERY METHOD AND THE APPLICATION IN PLASTIC HINGE ANALYSIS OF STEEL FRAMES Advaced Steel Costructio Vol. 6, No. 1, pp. 567-577 (2010) 567 TOTAL INCREMENTAL ITERATIVE FORCE RECOVERY METHOD AND THE APPLICATION IN PLASTIC HINGE ANALYSIS OF STEEL FRAMES Fawu Wag 1,* ad Yaopeg Liu

More information

Optimization Methods MIT 2.098/6.255/ Final exam

Optimization Methods MIT 2.098/6.255/ Final exam Optimizatio Methods MIT 2.098/6.255/15.093 Fial exam Date Give: December 19th, 2006 P1. [30 pts] Classify the followig statemets as true or false. All aswers must be well-justified, either through a short

More information

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology

Advanced Analysis. Min Yan Department of Mathematics Hong Kong University of Science and Technology Advaced Aalysis Mi Ya Departmet of Mathematics Hog Kog Uiversity of Sciece ad Techology September 3, 009 Cotets Limit ad Cotiuity 7 Limit of Sequece 8 Defiitio 8 Property 3 3 Ifiity ad Ifiitesimal 8 4

More information

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan

DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS. Park Road, Islamabad, Pakistan Mathematical ad Computatioal Applicatios, Vol. 9, No. 3, pp. 30-40, 04 DECOMPOSITION METHOD FOR SOLVING A SYSTEM OF THIRD-ORDER BOUNDARY VALUE PROBLEMS Muhammad Aslam Noor, Khalida Iayat Noor ad Asif Waheed

More information

The axial dispersion model for tubular reactors at steady state can be described by the following equations: dc dz R n cn = 0 (1) (2) 1 d 2 c.

The axial dispersion model for tubular reactors at steady state can be described by the following equations: dc dz R n cn = 0 (1) (2) 1 d 2 c. 5.4 Applicatio of Perturbatio Methods to the Dispersio Model for Tubular Reactors The axial dispersio model for tubular reactors at steady state ca be described by the followig equatios: d c Pe dz z =

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0. THE SOLUTION OF NONLINEAR EQUATIONS f( ) = 0. Noliear Equatio Solvers Bracketig. Graphical. Aalytical Ope Methods Bisectio False Positio (Regula-Falsi) Fied poit iteratio Newto Raphso Secat The root of

More information

Approximating the ruin probability of finite-time surplus process with Adaptive Moving Total Exponential Least Square

Approximating the ruin probability of finite-time surplus process with Adaptive Moving Total Exponential Least Square WSEAS TRANSACTONS o BUSNESS ad ECONOMCS S. Khotama, S. Boothiem, W. Klogdee Approimatig the rui probability of fiite-time surplus process with Adaptive Movig Total Epoetial Least Square S. KHOTAMA, S.

More information

A Modified Statistical Design Model of Double Sampling X Control Chart

A Modified Statistical Design Model of Double Sampling X Control Chart Proceedigs of the Iteratioal MultiCoferece of Egieers ad Computer Scietists 009 Vol II IMECS 009, March 8-0, 009, Hog Kog A Modified Statistical Desig Model of Double Samplig X Cotrol Chart Chau-Che Torg,

More information

SHAFTS: STATICALLY INDETERMINATE SHAFTS

SHAFTS: STATICALLY INDETERMINATE SHAFTS LECTURE SHAFTS: STATICALLY INDETERMINATE SHAFTS Third Editio A.. Clark School of Egieerig Departmet of Civil ad Eviromet Egieerig 7 Chapter 3.6 by Dr. Ibrahim A. Assakkaf SPRING 2003 ENES 220 Mechaics

More information

Avoidance of numerical singularities in free vibration analysis of Euler-Bernoulli beams using Green functions

Avoidance of numerical singularities in free vibration analysis of Euler-Bernoulli beams using Green functions WSEAS TRASACTIOS o APPLIED ad THEORETICAL MECHAICS Goraka Štimac Ročević, Braimir Ročević, Ate Skoblar, Saji Braut Avoidace of umerical sigularities i free vibratio aalysis of Euler-Beroulli beams usig

More information

Introduction to Optimization Techniques. How to Solve Equations

Introduction to Optimization Techniques. How to Solve Equations Itroductio to Optimizatio Techiques How to Solve Equatios Iterative Methods of Optimizatio Iterative methods of optimizatio Solutio of the oliear equatios resultig form a optimizatio problem is usually

More information

Application of Dynamic Relaxation in Thermo-Elastic Structural Analysis of Highway Pavement Structures

Application of Dynamic Relaxation in Thermo-Elastic Structural Analysis of Highway Pavement Structures 9 th Iteratioal LS-DYNA Users Coferece Simulatio Techology () Applicatio of Dyamic Relaxatio i Thermo-Elastic Structural Aalysis of Highway Pavemet Structures Samir N. Shoukry, Gergis W. William, Mourad

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

SHAFTS: STATICALLY INDETERMINATE SHAFTS

SHAFTS: STATICALLY INDETERMINATE SHAFTS SHAFTS: STATICALLY INDETERMINATE SHAFTS Up to this poit, the resses i a shaft has bee limited to shearig resses. This due to the fact that the selectio of the elemet uder udy was orieted i such a way that

More information

The Mathematical Model and the Simulation Modelling Algoritm of the Multitiered Mechanical System

The Mathematical Model and the Simulation Modelling Algoritm of the Multitiered Mechanical System The Mathematical Model ad the Simulatio Modellig Algoritm of the Multitiered Mechaical System Demi Aatoliy, Kovalev Iva Dept. of Optical Digital Systems ad Techologies, The St. Petersburg Natioal Research

More information

Math 113 Exam 3 Practice

Math 113 Exam 3 Practice Math Exam Practice Exam will cover.-.9. This sheet has three sectios. The first sectio will remid you about techiques ad formulas that you should kow. The secod gives a umber of practice questios for you

More information

OPTIMIZED SOLUTION OF PRESSURE VESSEL DESIGN USING GEOMETRIC PROGRAMMING

OPTIMIZED SOLUTION OF PRESSURE VESSEL DESIGN USING GEOMETRIC PROGRAMMING OPTIMIZED SOLUTION OF PRESSURE VESSEL DESIGN USING GEOMETRIC PROGRAMMING S.H. NASSERI, Z. ALIZADEH AND F. TALESHIAN ABSTRACT. Geometric programmig is a methodology for solvig algebraic oliear optimizatio

More information

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS C.PRAX ad H.SADAT Laboratoire d'etudes Thermiques,URA CNRS 403 40, Aveue du Recteur Pieau 86022 Poitiers Cedex,

More information

CUMULATIVE DAMAGE ESTIMATION USING WAVELET TRANSFORM OF STRUCTURAL RESPONSE

CUMULATIVE DAMAGE ESTIMATION USING WAVELET TRANSFORM OF STRUCTURAL RESPONSE CUMULATIVE DAMAGE ESTIMATION USING WAVELET TRANSFORM OF STRUCTURAL RESPONSE Ryutaro SEGAWA 1, Shizuo YAMAMOTO, Akira SONE 3 Ad Arata MASUDA 4 SUMMARY Durig a strog earthquake, the respose of a structure

More information

Newton Homotopy Solution for Nonlinear Equations Using Maple14. Abstract

Newton Homotopy Solution for Nonlinear Equations Using Maple14. Abstract Joural of Sciece ad Techology ISSN 9-860 Vol. No. December 0 Newto Homotopy Solutio for Noliear Equatios Usig Maple Nor Haim Abd. Rahma, Arsmah Ibrahim, Mohd Idris Jayes Faculty of Computer ad Mathematical

More information

Math 113 Exam 3 Practice

Math 113 Exam 3 Practice Math Exam Practice Exam 4 will cover.-., 0. ad 0.. Note that eve though. was tested i exam, questios from that sectios may also be o this exam. For practice problems o., refer to the last review. This

More information

Modified Logistic Maps for Cryptographic Application

Modified Logistic Maps for Cryptographic Application Applied Mathematics, 25, 6, 773-782 Published Olie May 25 i SciRes. http://www.scirp.org/joural/am http://dx.doi.org/.4236/am.25.6573 Modified Logistic Maps for Cryptographic Applicatio Shahram Etemadi

More information

Numerical Method for Blasius Equation on an infinite Interval

Numerical Method for Blasius Equation on an infinite Interval Numerical Method for Blasius Equatio o a ifiite Iterval Alexader I. Zadori Omsk departmet of Sobolev Mathematics Istitute of Siberia Brach of Russia Academy of Scieces, Russia zadori@iitam.omsk.et.ru 1

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

Study on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm

Study on Coal Consumption Curve Fitting of the Thermal Power Based on Genetic Algorithm Joural of ad Eergy Egieerig, 05, 3, 43-437 Published Olie April 05 i SciRes. http://www.scirp.org/joural/jpee http://dx.doi.org/0.436/jpee.05.34058 Study o Coal Cosumptio Curve Fittig of the Thermal Based

More information

Failure analysis of single-bolted joint for lightweight composite laminates and metal plate

Failure analysis of single-bolted joint for lightweight composite laminates and metal plate IOP Coferece Series: Materials Sciece ad Egieerig PAPER OPEN ACCESS Failure aalysis of sigle-bolted joit for lightweight composite lamiates ad metal plate To cite this article: Lijie Li et al 018 IOP Cof.

More information

A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD

A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD IRET: Iteratioal oural of Research i Egieerig ad Techology eissn: 39-63 pissn: 3-7308 A STUDY ON MHD BOUNDARY LAYER FLOW OVER A NONLINEAR STRETCHING SHEET USING IMPLICIT FINITE DIFFERENCE METHOD Satish

More information

PROPOSING INPUT-DEPENDENT MODE CONTRIBUTION FACTORS FOR SIMPLIFIED SEISMIC RESPONSE ANALYSIS OF BUILDING SYSTEMS

PROPOSING INPUT-DEPENDENT MODE CONTRIBUTION FACTORS FOR SIMPLIFIED SEISMIC RESPONSE ANALYSIS OF BUILDING SYSTEMS he 4 th World Coferece o Earthquake Egieerig October -7, 008, Beiig, Chia PROPOSING INPU-DEPENDEN ODE CONRIBUION FACORS FOR SIPLIFIED SEISIC RESPONSE ANALYSIS OF BUILDING SYSES ahmood Hosseii ad Laya Abbasi

More information

Higher-order iterative methods by using Householder's method for solving certain nonlinear equations

Higher-order iterative methods by using Householder's method for solving certain nonlinear equations Math Sci Lett, No, 7- ( 7 Mathematical Sciece Letters A Iteratioal Joural http://dxdoiorg/785/msl/5 Higher-order iterative methods by usig Householder's method for solvig certai oliear equatios Waseem

More information

1 Duality revisited. AM 221: Advanced Optimization Spring 2016

1 Duality revisited. AM 221: Advanced Optimization Spring 2016 AM 22: Advaced Optimizatio Sprig 206 Prof. Yaro Siger Sectio 7 Wedesday, Mar. 9th Duality revisited I this sectio, we will give a slightly differet perspective o duality. optimizatio program: f(x) x R

More information

A STUDY OF VIBRATION MEASURING AND FATIGUE ANALYSIS FOR CANTILEVER BEAMS

A STUDY OF VIBRATION MEASURING AND FATIGUE ANALYSIS FOR CANTILEVER BEAMS Joural of Techology, Vol. 3, No., pp. 47-56 (07) 47, * LabView ANSYS A STUDY OF VIBRATION MEASURING AND FATIGUE ANALYSIS FOR CANTILEVER BEAMS Yuo-Ter Tsai, * Hsie-Yag Li Departmet of Mechaical Egieerig

More information

Numerical Solutions of Second Order Boundary Value Problems by Galerkin Residual Method on Using Legendre Polynomials

Numerical Solutions of Second Order Boundary Value Problems by Galerkin Residual Method on Using Legendre Polynomials IOSR Joural of Mathematics (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 11, Issue 6 Ver. IV (Nov. - Dec. 15), PP 1-11 www.iosrjourals.org Numerical Solutios of Secod Order Boudary Value Problems

More information

Comparison of Minimum Initial Capital with Investment and Non-investment Discrete Time Surplus Processes

Comparison of Minimum Initial Capital with Investment and Non-investment Discrete Time Surplus Processes The 22 d Aual Meetig i Mathematics (AMM 207) Departmet of Mathematics, Faculty of Sciece Chiag Mai Uiversity, Chiag Mai, Thailad Compariso of Miimum Iitial Capital with Ivestmet ad -ivestmet Discrete Time

More information

Mathematical Methods for Physics and Engineering

Mathematical Methods for Physics and Engineering Mathematical Methods for Physics ad Egieerig Lecture otes Sergei V. Shabaov Departmet of Mathematics, Uiversity of Florida, Gaiesville, FL 326 USA CHAPTER The theory of covergece. Numerical sequeces..

More information

ECONOMETRIC THEORY. MODULE XIII Lecture - 34 Asymptotic Theory and Stochastic Regressors

ECONOMETRIC THEORY. MODULE XIII Lecture - 34 Asymptotic Theory and Stochastic Regressors ECONOMETRIC THEORY MODULE XIII Lecture - 34 Asymptotic Theory ad Stochastic Regressors Dr. Shalabh Departmet of Mathematics ad Statistics Idia Istitute of Techology Kapur Asymptotic theory The asymptotic

More information

Notes on iteration and Newton s method. Iteration

Notes on iteration and Newton s method. Iteration Notes o iteratio ad Newto s method Iteratio Iteratio meas doig somethig over ad over. I our cotet, a iteratio is a sequece of umbers, vectors, fuctios, etc. geerated by a iteratio rule of the type 1 f

More information

DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS

DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS DYNAMIC ANALYSIS OF BEAM-LIKE STRUCTURES SUBJECT TO MOVING LOADS Ivaa Štimac 1, Ivica Kožar 1 M.Sc,Assistat, Ph.D. Professor 1, Faculty of Civil Egieerig, Uiverity of Rieka, Croatia INTRODUCTION The vehicle-iduced

More information

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus TMSCI 3, o 3, 129-135 (2015) 129 ew Treds i Mathematical Scieces http://wwwtmscicom Taylor polyomial solutio of differece equatio with costat coefficiets via time scales calculus Veysel Fuat Hatipoglu

More information

The Analysis of the Non-linear Deflection of Non-straight Ludwick type Beams Using Lie Symmetry Groups

The Analysis of the Non-linear Deflection of Non-straight Ludwick type Beams Using Lie Symmetry Groups Proceedigs of the 3 rd Iteratioal Coferece o Cotrol, Dyamic Systems, ad Robotics CDSR 16 Ottawa, Caada May 9 10, 016 Paper No. 107 DOI: 10.11159/cdsr16.107 The Aalysis of the No-liear Deflectio of No-straight

More information

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS.

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS. ICSV4 Cairs Australia 9- July 7 DTRMINATION OF MCHANICAL PROPRTIS OF A NON- UNIFORM BAM USING TH MASURMNT OF TH XCITD LONGITUDINAL LASTIC VIBRATIONS Pavel Aokhi ad Vladimir Gordo Departmet of the mathematics

More information

Finally, we show how to determine the moments of an impulse response based on the example of the dispersion model.

Finally, we show how to determine the moments of an impulse response based on the example of the dispersion model. 5.3 Determiatio of Momets Fially, we show how to determie the momets of a impulse respose based o the example of the dispersio model. For the dispersio model we have that E θ (θ ) curve is give by eq (4).

More information

A statistical method to determine sample size to estimate characteristic value of soil parameters

A statistical method to determine sample size to estimate characteristic value of soil parameters A statistical method to determie sample size to estimate characteristic value of soil parameters Y. Hojo, B. Setiawa 2 ad M. Suzuki 3 Abstract Sample size is a importat factor to be cosidered i determiig

More information

Failure Theories Des Mach Elem Mech. Eng. Department Chulalongkorn University

Failure Theories Des Mach Elem Mech. Eng. Department Chulalongkorn University Failure Theories Review stress trasformatio Failure theories for ductile materials Maimum-Shear-Stress Theor Distortio-Eerg Theor Coulomb-Mohr Theor Failure theories for brittle materials Maimum-Normal-Stress

More information

An Alternative Scaling Factor In Broyden s Class Methods for Unconstrained Optimization

An Alternative Scaling Factor In Broyden s Class Methods for Unconstrained Optimization Joural of Mathematics ad Statistics 6 (): 63-67, 00 ISSN 549-3644 00 Sciece Publicatios A Alterative Scalig Factor I Broyde s Class Methods for Ucostraied Optimizatio Muhammad Fauzi bi Embog, Mustafa bi

More information

ANALYSIS OF STEADY WEAR PROCESSES FOR PERIODIC SLIDING

ANALYSIS OF STEADY WEAR PROCESSES FOR PERIODIC SLIDING Joural of Computatioal ad Applied Mechaics, Vol. 1., No. 2., (215), pp. 231 268 ANALYSIS OF STEADY WEAR PROCESSES FOR PERIODIC SLIDING Istvá Páczelt Istitute of Applied Mechaics, Uiversity of Miskolc H-3515

More information

10-701/ Machine Learning Mid-term Exam Solution

10-701/ Machine Learning Mid-term Exam Solution 0-70/5-78 Machie Learig Mid-term Exam Solutio Your Name: Your Adrew ID: True or False (Give oe setece explaatio) (20%). (F) For a cotiuous radom variable x ad its probability distributio fuctio p(x), it

More information

DG Installation in Distribution System for Minimum Loss

DG Installation in Distribution System for Minimum Loss DG Istallatio i Distributio System for Miimum Loss Aad K Padey Om Mishra Alat Saurabh Kumar EE, JSSATE EE, JSSATE EE, JSSATE EE, JSSATE oida,up oida,up oida,up oida,up Abstract: This paper proposes optimal

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

Lecture 3. Digital Signal Processing. Chapter 3. z-transforms. Mikael Swartling Nedelko Grbic Bengt Mandersson. rev. 2016

Lecture 3. Digital Signal Processing. Chapter 3. z-transforms. Mikael Swartling Nedelko Grbic Bengt Mandersson. rev. 2016 Lecture 3 Digital Sigal Processig Chapter 3 z-trasforms Mikael Swartlig Nedelko Grbic Begt Madersso rev. 06 Departmet of Electrical ad Iformatio Techology Lud Uiversity z-trasforms We defie the z-trasform

More information

Teaching Mathematics Concepts via Computer Algebra Systems

Teaching Mathematics Concepts via Computer Algebra Systems Iteratioal Joural of Mathematics ad Statistics Ivetio (IJMSI) E-ISSN: 4767 P-ISSN: - 4759 Volume 4 Issue 7 September. 6 PP-- Teachig Mathematics Cocepts via Computer Algebra Systems Osama Ajami Rashaw,

More information

Machine Learning for Data Science (CS 4786)

Machine Learning for Data Science (CS 4786) Machie Learig for Data Sciece CS 4786) Lecture 9: Pricipal Compoet Aalysis The text i black outlies mai ideas to retai from the lecture. The text i blue give a deeper uderstadig of how we derive or get

More information

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information

UNDERWATER OBJECT CLASSIFICATION BY MEANS OF AN ACOUSTIC METHOD EUGENIUSZ KOZACZKA

UNDERWATER OBJECT CLASSIFICATION BY MEANS OF AN ACOUSTIC METHOD EUGENIUSZ KOZACZKA UNDERWATER OBJECT CLASSIFICATION BY MEANS OF AN ACOUSTIC METHOD EUGENIUSZ KOZACZKA Naval Uiversity of Gdyia 81-13 Gdyia, Śmidowicza 69, Polad Gdańsk Uiversity of Techology 8-95 Gdańsk, Narutowicza 11/1,

More information

Obtaining Constants of Johnson-Cook Material Model Using a Combined Experimental, Numerical Simulation and Optimization Method

Obtaining Constants of Johnson-Cook Material Model Using a Combined Experimental, Numerical Simulation and Optimization Method Vol:0, No:9, 06 Obtaiig Costats of Johso-Cook Material Model Usig a Combied Experimetal, Numerical Simulatio ad Optimizatio Method F. Rahimi Dehgola, M. Behzadi, J. Fathi Sola Iteratioal Sciece Idex, Mechaical

More information

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet

More information

TESTING OF THE FORCES IN CABLE OF SUSPENSION STRUCTURE AND BRIDGES

TESTING OF THE FORCES IN CABLE OF SUSPENSION STRUCTURE AND BRIDGES TSTING OF TH FORCS IN CABL OF SUSPNSION STRUCTUR AND BRIDGS Zhou, M. 1, Liu, Z. ad Liu, J. 1 College of the Muicipal Techology, Guagzhou Uiversity, Guagzhou. Guagzhou Muicipal ad Ladscape gieerig Quality

More information

FINALTERM EXAMINATION Fall 9 Calculus & Aalytical Geometry-I Questio No: ( Mars: ) - Please choose oe Let f ( x) is a fuctio such that as x approaches a real umber a, either from left or right-had-side,

More information

Differentiable Convex Functions

Differentiable Convex Functions Differetiable Covex Fuctios The followig picture motivates Theorem 11. f ( x) f ( x) f '( x)( x x) ˆx x 1 Theorem 11 : Let f : R R be differetiable. The, f is covex o the covex set C R if, ad oly if for

More information

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio

More information

2C09 Design for seismic and climate changes

2C09 Design for seismic and climate changes 2C09 Desig for seismic ad climate chages Lecture 02: Dyamic respose of sigle-degree-of-freedom systems I Daiel Grecea, Politehica Uiversity of Timisoara 10/03/2014 Europea Erasmus Mudus Master Course Sustaiable

More information

G. R. Pasha Department of Statistics Bahauddin Zakariya University Multan, Pakistan

G. R. Pasha Department of Statistics Bahauddin Zakariya University Multan, Pakistan Deviatio of the Variaces of Classical Estimators ad Negative Iteger Momet Estimator from Miimum Variace Boud with Referece to Maxwell Distributio G. R. Pasha Departmet of Statistics Bahauddi Zakariya Uiversity

More information

ON WELLPOSEDNESS QUADRATIC FUNCTION MINIMIZATION PROBLEM ON INTERSECTION OF TWO ELLIPSOIDS * M. JA]IMOVI], I. KRNI] 1.

ON WELLPOSEDNESS QUADRATIC FUNCTION MINIMIZATION PROBLEM ON INTERSECTION OF TWO ELLIPSOIDS * M. JA]IMOVI], I. KRNI] 1. Yugoslav Joural of Operatios Research 1 (00), Number 1, 49-60 ON WELLPOSEDNESS QUADRATIC FUNCTION MINIMIZATION PROBLEM ON INTERSECTION OF TWO ELLIPSOIDS M. JA]IMOVI], I. KRNI] Departmet of Mathematics

More information

Mathematical Modeling of Optimum 3 Step Stress Accelerated Life Testing for Generalized Pareto Distribution

Mathematical Modeling of Optimum 3 Step Stress Accelerated Life Testing for Generalized Pareto Distribution America Joural of Theoretical ad Applied Statistics 05; 4(: 6-69 Published olie May 8, 05 (http://www.sciecepublishiggroup.com/j/ajtas doi: 0.648/j.ajtas.05040. ISSN: 6-8999 (Prit; ISSN: 6-9006 (Olie Mathematical

More information

Direction of Arrival Estimation Method in Underdetermined Condition Zhang Youzhi a, Li Weibo b, Wang Hanli c

Direction of Arrival Estimation Method in Underdetermined Condition Zhang Youzhi a, Li Weibo b, Wang Hanli c 4th Iteratioal Coferece o Advaced Materials ad Iformatio Techology Processig (AMITP 06) Directio of Arrival Estimatio Method i Uderdetermied Coditio Zhag Youzhi a, Li eibo b, ag Hali c Naval Aeroautical

More information

ECE 8527: Introduction to Machine Learning and Pattern Recognition Midterm # 1. Vaishali Amin Fall, 2015

ECE 8527: Introduction to Machine Learning and Pattern Recognition Midterm # 1. Vaishali Amin Fall, 2015 ECE 8527: Itroductio to Machie Learig ad Patter Recogitio Midterm # 1 Vaishali Ami Fall, 2015 tue39624@temple.edu Problem No. 1: Cosider a two-class discrete distributio problem: ω 1 :{[0,0], [2,0], [2,2],

More information

A Block Cipher Using Linear Congruences

A Block Cipher Using Linear Congruences Joural of Computer Sciece 3 (7): 556-560, 2007 ISSN 1549-3636 2007 Sciece Publicatios A Block Cipher Usig Liear Cogrueces 1 V.U.K. Sastry ad 2 V. Jaaki 1 Academic Affairs, Sreeidhi Istitute of Sciece &

More information

2. Neutronic calculations at uranium powered cylindrical reactor by using Bessel differential equation

2. Neutronic calculations at uranium powered cylindrical reactor by using Bessel differential equation Trasworld Research Network 37/661 (), Fort P.O. Trivadrum-695 03 Kerala, Idia Nuclear Sciece ad Techology, 01: 15-4 ISBN: 978-81-7895-546-9 Editor: Turgay Korkut. Neutroic calculatios at uraium powered

More information

Optimization of Gear Pairs Using Genetic Algorithm

Optimization of Gear Pairs Using Genetic Algorithm IOSR Joural of Egieerig (IOSRJEN) ISSN: 2250-3021 ISBN: 2878-8719 PP 22-26 Natioal Symposium o egieerig ad Research Optimizatio of Gear Pairs Usig Geetic Algorithm 1 Y.K.Mogal, 2 D.D.Palade, 3 V.D.Wakchaure

More information

Chapter 7 z-transform

Chapter 7 z-transform Chapter 7 -Trasform Itroductio Trasform Uilateral Trasform Properties Uilateral Trasform Iversio of Uilateral Trasform Determiig the Frequecy Respose from Poles ad Zeros Itroductio Role i Discrete-Time

More information

Lecture 19: Convergence

Lecture 19: Convergence Lecture 19: Covergece Asymptotic approach I statistical aalysis or iferece, a key to the success of fidig a good procedure is beig able to fid some momets ad/or distributios of various statistics. I may

More information

Classification of problem & problem solving strategies. classification of time complexities (linear, logarithmic etc)

Classification of problem & problem solving strategies. classification of time complexities (linear, logarithmic etc) Classificatio of problem & problem solvig strategies classificatio of time complexities (liear, arithmic etc) Problem subdivisio Divide ad Coquer strategy. Asymptotic otatios, lower boud ad upper boud:

More information

Boundary layer problem on conveyor belt. Gabriella Bognár University of Miskolc 3515 Miskolc-Egyetemváros, Hungary

Boundary layer problem on conveyor belt. Gabriella Bognár University of Miskolc 3515 Miskolc-Egyetemváros, Hungary Boudary layer problem o coveyor belt Gabriella Bogár Uiversity of Miskolc 355 Miskolc-Egyetemváros, Hugary e-mail: matvbg@ui-miskolc.hu Abstract: A techologically importat source of the boudary layer pheomeo

More information

6.003 Homework #3 Solutions

6.003 Homework #3 Solutions 6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the

More information

IP Reference guide for integer programming formulations.

IP Reference guide for integer programming formulations. IP Referece guide for iteger programmig formulatios. by James B. Orli for 15.053 ad 15.058 This documet is iteded as a compact (or relatively compact) guide to the formulatio of iteger programs. For more

More information

μ are complex parameters. Other

μ are complex parameters. Other A New Numerical Itegrator for the Solutio of Iitial Value Problems i Ordiary Differetial Equatios. J. Suday * ad M.R. Odekule Departmet of Mathematical Scieces, Adamawa State Uiversity, Mubi, Nigeria.

More information

POWER SERIES SOLUTION OF FIRST ORDER MATRIX DIFFERENTIAL EQUATIONS

POWER SERIES SOLUTION OF FIRST ORDER MATRIX DIFFERENTIAL EQUATIONS Joural of Applied Mathematics ad Computatioal Mechaics 4 3(3) 3-8 POWER SERIES SOLUION OF FIRS ORDER MARIX DIFFERENIAL EQUAIONS Staisław Kukla Izabela Zamorska Istitute of Mathematics Czestochowa Uiversity

More information

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A)

REGRESSION (Physics 1210 Notes, Partial Modified Appendix A) REGRESSION (Physics 0 Notes, Partial Modified Appedix A) HOW TO PERFORM A LINEAR REGRESSION Cosider the followig data poits ad their graph (Table I ad Figure ): X Y 0 3 5 3 7 4 9 5 Table : Example Data

More information